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Wang (2010) Harmonization of Land-Use Scenarios for the Period 1500-2100: 600 Years of Global Gridded Annual Land-Use Transitions, Wood Harvest, and Resulting Secondary Lands. Climatic Change, submittedcim.1.shared.CitationHurtt et al. 2010Offline OtherJohns T.C., et al. (2005). "HadGEM1 - Model description and analysis of preliminary experiments for the IPCC Fourth Assessment Report". Hadley Centre Technical Note 55, Met, Office, Exeter 74pp.cim.1.shared.CitationJohns_2005Offline OtherMartin G.M., M.A. Ringer, V.D. Pope, A. Jones, C. Dearden and T.J. Hinton (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1 - Part 1: Model description and global climatology. Journal of Climate, American Meteorological Society, Vol. 19, No.7, pages 1274-1301.cim.1.shared.CitationMartin 2006Offline Refereedcim.1.data.DataContentcim.1.data.DataTopicSO2_emissionscompleteDataset is derived from annual sector based emissions. Data is presented on N96 gridASCIIcim.1.data.DataDistributioncim.1.data.DataHierarchyLevelMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.349101+00:009f025ae4-53b2-11e0-a555-00163e9152a5--cmip5CAANTHROPOGENIC_EMISSIONS_SO2Metafor CMIP5 Questionnairemetafor-qcim.1.data.DataObjectData ObjectCA2012-04-23 15:58:33.349101+00:001Anthropogenic emissions of sulphur dioxideASCIIcim.1.data.DataStorageIpsolarBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherCollins W.J. , N. Bellouin, M. Doutriaux-Boucher, N. Gedney, T. Hinton, C.D. Jones, S. Liddicoat, G. Martin, F. O'Connor, J. Rae, C. Senior, I. Totterdell, and S. Woodward (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, Technical Note 74http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdfcim.1.shared.CitationCollins et al. 2008Online OtherBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. 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Res., 113, D10, D10111.cim.1.shared.CitationClark 2008Offline RefereedCollatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A. (1991) Physiological and environmental-regulation of stomatal conductance, photosynthesis and transpiration - a model that includes a laminar boundary-layer Agr. Forest Meteorol., 54, 107-136.cim.1.shared.CitationCollatz 1991Offline RefereedCollatz, G. J., Ribas-Carbo, M., and Berry, J. A. (1992) Coupled photosynthesis-stomatal conductance model for leaves of C4 plants Aust. J. Plant Physiol., 19, 519-538.cim.1.shared.CitationCollatz 1992Offline RefereedCox P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and J. Smith (1999) The impact of new land surface physics on the GCM simulation of climate and climate sensitivity.. Climate Dynamics., 15, 183-203.cim.1.shared.CitationCox 1999Offline RefereedCox, P.M. (2001) Description of the TRIFFID dynamic global vegetation model.. Hadley Centre Technical Note 24, Hadley Centre, Met Office, UK.http://www.metoffice.gov.uk/publications/HCTN/HCTN_24.pdfcim.1.shared.CitationCox 2001Online OtherGedney, N., and Cox, P. M. (2003) The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity J. Hydromet., 4, 6, 1265-1275cim.1.shared.CitationGedney 2003Offline RefereedMercado, L. M., Huntingford, C., Gash, J. H. C., Cox, P. M., and Jogireddy, V. (2007) Improving the representation of radiation interception and photosynthesis for climate model applications. Tellus, 59B, 553-565.cim.1.shared.CitationMercado 2007Offline RefereedOki T., and Y.C. Sud (1998) Design of the Total Runoff Integrating Pathways [TRIP] - A global river channel network.. Earth Interactions, 2.cim.1.shared.CitationOki 1998Offline RefereedAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedSpiro, P.A., Jacob, D.J., and Logan, J.A. (1992) Global inventory of sulfur emissions with 1x1 resolution. J. Geophys. Res., 97, 6023-6036, 1992.cim.1.shared.CitationSpiro 1992Offline RefereedCMIP5 solar irradiancehttp://www.geo.fu-berlin.de/en/met/ag/strat/forschung/SOLARIS/Input_data/CMIP5_solar_irradiance.htmlcim.1.shared.CitationSOLARIS 2009WebpageDerwent, R.G., Collins, W.J., Jenkin, M.E., and Johnson, C.E. (2003) The global distribution of secondary particulate matter in a 3-D Lagrangian chemistry transport model. J. Atmos. Chem., 44, 57-95, 2003.cim.1.shared.CitationDerwent 2003Offline RefereedHurtt, G. C. , L. P. Chini, S. Frolking, R. Betts, J. Feddema, G. Fischer, J. P. Fisk, K. Hibbard, R. A. Houghton, A. Janetos, C. Jones, G. Kindermann, T. Kinoshita, K. Klein Goldewijk, K. Riahi, E. Shevliakova, S. Smith, E. Stehfest, A. Thomson, P. Thornton, D. P. van Vuuren, Y. Wang (2010) Harmonization of Land-Use Scenarios for the Period 1500-2100: 600 Years of Global Gridded Annual Land-Use Transitions, Wood Harvest, and Resulting Secondary Lands. Climatic Change, submittedcim.1.shared.CitationHurtt et al. 2010Offline OtherJohns T.C., et al. (2005). "HadGEM1 - Model description and analysis of preliminary experiments for the IPCC Fourth Assessment Report". Hadley Centre Technical Note 55, Met, Office, Exeter 74pp.cim.1.shared.CitationJohns_2005Offline OtherMartin G.M., M.A. Ringer, V.D. Pope, A. Jones, C. Dearden and T.J. Hinton (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1 - Part 1: Model description and global climatology. Journal of Climate, American Meteorological Society, Vol. 19, No.7, pages 1274-1301.cim.1.shared.CitationMartin 2006Offline Refereedcim.1.data.DataContentTotal solar irradiance in Wm-2cim.1.data.DataTopicTotal Solar IrradiancecompleteAnnual mean variations in total solar irradiance (TSI) are partitioned across six shortwave spectral bands (0.2-10μm) to estimate the associated spectral changes with TSI variations (Lean et al., 1995). With the changes across the spectral bands the Rayleigh scattering and ozone absorption properties are also varied. The TSI data used for the historic period were recommended by CMIP5 (Lean et al., 2009 -L09; SOLARIS 2009) and are created from reconstructions of solar cycle and background variations in TSI. The annual mean TSI was processed to force the mean of the 1700-2004 period to be the same as the model control solar constant value (1365 Wm-2).ASCIIcim.1.data.DataDistributioncim.1.data.DataHierarchyLevelMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.353305+00:00753a78ee-e2ac-11df-b3ef-00163e9152a5--cmip5CASOLARMetafor CMIP5 Questionnairemetafor-qcim.1.data.DataObjectData ObjectCA2012-04-23 15:58:33.353305+00:001Solar IrradianceASCIIcim.1.data.DataStorageIpocean_DMSBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherCollins W.J. , N. Bellouin, M. Doutriaux-Boucher, N. Gedney, T. Hinton, C.D. Jones, S. Liddicoat, G. Martin, F. O'Connor, J. Rae, C. Senior, I. Totterdell, and S. Woodward (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, Technical Note 74http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdfcim.1.shared.CitationCollins et al. 2008Online OtherBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherDerwent, R.G., Collins, W.J., Jenkin, M.E., and Johnson, C.E. (2003) The global distribution of secondary particulate matter in a 3-D Lagrangian chemistry transport model. J. Atmos. Chem., 44, 57-95, 2003.cim.1.shared.CitationDerwent 2003Offline RefereedJones A., D.L. Roberts, M.J. Woodage and C.E. Johnson (2001) Indirect sulphate aerosol forcing in a climate model with an interactive sulpher cycle.. J. Geophys Res., 106, 20293-20310.cim.1.shared.CitationJones 2001Offline RefereedLamarque, J.F. et al. (2009) Gridded emissions in support of IPCC AR5.. IGACtivities 41, 12-18, May 2009.cim.1.shared.CitationLamarque 2009Offline OtherMoss, R.H., et al. (2010) The next generation of scenarios for climate change research and assessment. 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Concentrations based on observations file. These are generally higher than those calculated interactively with the HadGEM2-ES model.ASCIIcim.1.data.DataDistributioncim.1.data.DataHierarchyLevelMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.355218+00:0056f4b1d2-3d4c-11e1-a018-00163e9152a5--cmip5CAOCEAN_DMSMetafor CMIP5 Questionnairemetafor-qcim.1.data.DataObjectData ObjectCA2012-04-23 15:58:33.355218+00:001ocean DMS concentrationsASCIIcim.1.data.DataStorageIpbiogenic_emission_aerosolsBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherCollins W.J. , N. Bellouin, M. Doutriaux-Boucher, N. Gedney, T. Hinton, C.D. Jones, S. Liddicoat, G. Martin, F. O'Connor, J. Rae, C. Senior, I. Totterdell, and S. Woodward (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, Technical Note 74http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdfcim.1.shared.CitationCollins et al. 2008Online OtherBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. 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Res., 113, D10, D10111.cim.1.shared.CitationClark 2008Offline RefereedCollatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A. (1991) Physiological and environmental-regulation of stomatal conductance, photosynthesis and transpiration - a model that includes a laminar boundary-layer Agr. Forest Meteorol., 54, 107-136.cim.1.shared.CitationCollatz 1991Offline RefereedCollatz, G. J., Ribas-Carbo, M., and Berry, J. A. (1992) Coupled photosynthesis-stomatal conductance model for leaves of C4 plants Aust. J. Plant Physiol., 19, 519-538.cim.1.shared.CitationCollatz 1992Offline RefereedCox P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and J. Smith (1999) The impact of new land surface physics on the GCM simulation of climate and climate sensitivity.. Climate Dynamics., 15, 183-203.cim.1.shared.CitationCox 1999Offline RefereedCox, P.M. (2001) Description of the TRIFFID dynamic global vegetation model.. Hadley Centre Technical Note 24, Hadley Centre, Met Office, UK.http://www.metoffice.gov.uk/publications/HCTN/HCTN_24.pdfcim.1.shared.CitationCox 2001Online OtherGedney, N., and Cox, P. M. (2003) The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity J. Hydromet., 4, 6, 1265-1275cim.1.shared.CitationGedney 2003Offline RefereedMercado, L. M., Huntingford, C., Gash, J. H. C., Cox, P. M., and Jogireddy, V. (2007) Improving the representation of radiation interception and photosynthesis for climate model applications. Tellus, 59B, 553-565.cim.1.shared.CitationMercado 2007Offline RefereedOki T., and Y.C. Sud (1998) Design of the Total Runoff Integrating Pathways [TRIP] - A global river channel network.. Earth Interactions, 2.cim.1.shared.CitationOki 1998Offline RefereedAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedSpiro, P.A., Jacob, D.J., and Logan, J.A. (1992) Global inventory of sulfur emissions with 1x1 resolution. J. Geophys. Res., 97, 6023-6036, 1992.cim.1.shared.CitationSpiro 1992Offline RefereedCMIP5 solar irradiancehttp://www.geo.fu-berlin.de/en/met/ag/strat/forschung/SOLARIS/Input_data/CMIP5_solar_irradiance.htmlcim.1.shared.CitationSOLARIS 2009WebpageDerwent, R.G., Collins, W.J., Jenkin, M.E., and Johnson, C.E. (2003) The global distribution of secondary particulate matter in a 3-D Lagrangian chemistry transport model. J. Atmos. Chem., 44, 57-95, 2003.cim.1.shared.CitationDerwent 2003Offline RefereedHurtt, G. C. , L. P. Chini, S. Frolking, R. Betts, J. Feddema, G. Fischer, J. P. Fisk, K. Hibbard, R. A. Houghton, A. Janetos, C. Jones, G. Kindermann, T. Kinoshita, K. Klein Goldewijk, K. Riahi, E. Shevliakova, S. Smith, E. Stehfest, A. Thomson, P. Thornton, D. P. van Vuuren, Y. Wang (2010) Harmonization of Land-Use Scenarios for the Period 1500-2100: 600 Years of Global Gridded Annual Land-Use Transitions, Wood Harvest, and Resulting Secondary Lands. Climatic Change, submittedcim.1.shared.CitationHurtt et al. 2010Offline OtherJohns T.C., et al. (2005). "HadGEM1 - Model description and analysis of preliminary experiments for the IPCC Fourth Assessment Report". Hadley Centre Technical Note 55, Met, Office, Exeter 74pp.cim.1.shared.CitationJohns_2005Offline OtherMartin G.M., M.A. Ringer, V.D. Pope, A. Jones, C. Dearden and T.J. Hinton (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1 - Part 1: Model description and global climatology. Journal of Climate, American Meteorological Society, Vol. 19, No.7, pages 1274-1301.cim.1.shared.CitationMartin 2006Offline Refereedcim.1.data.DataContentcim.1.data.DataTopicsea ice concentrationcompleteSea ice concentration data provided for CMIP5 AMIP experiments. Concentration is % of area covered by sea ice.ASCIIcim.1.data.DataDistributioncim.1.data.DataHierarchyLevelMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.378132+00:00d41e2822-3d16-11e1-ae3a-00163e9152a5--cmip5CASEAICE_CMIP5Metafor CMIP5 Questionnairemetafor-qcim.1.data.DataObjectData ObjectCA2012-04-23 15:58:33.378132+00:001sea ice concentrationASCIIcim.1.data.DataStorageIpConsistent with CFMIP requirements, impose a 4xCO2 on zonally uniform SSTs of expt. 6.7a (which is the control for this run).6.7b4xCO2 aqua planetMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.245272+00:00cbb77688-d3a5-11df-837f-00163e9152a5--cmip5ABAQUA4XCO2Metafor CMIP5 Questionnairemetafor-qcim.1.activity.NumericalExperimentExperimentAB2012-04-23 15:58:33.245272+00:001Aqua-planet : cloud response to an imposed 4xCO2 (Hansen-style diagnosis).Imposed changing concentrations or emissions of historical short lived gas speciescim.1.activity.BoundaryCondition6.7b.bc.slsboundaryConditionImposed changing concentrations or emissions of historical natural aerosolscim.1.activity.BoundaryCondition6.7b.bc.nat_aerboundaryConditionImposed changing concentrations or emissions of historical anthropogenic aerosolscim.1.activity.BoundaryCondition6.7b.bc.ant_aerboundaryConditionImposed changing concentrations of historical natural aerosol precursorsbc.016cim.1.activity.BoundaryCondition6.7b.bc.nat_aer_pre_concboundaryConditionImposed changing concentrations of historical anthropogenic aerosol precursorsbc.017cim.1.activity.BoundaryCondition6.7b.bc.ant_aer_pre_concboundaryConditionImposed historical changing solar forcingbc.021cim.1.activity.BoundaryCondition6.7b.bc.solarboundaryConditionImposed zonally uniform SSTs on an aquaplanetbc.065cim.1.activity.BoundaryCondition6.7b.bc.aquaplanet_sstboundaryConditionImposed 4XCO2 on the control experiment 6.7abc.066cim.1.activity.BoundaryCondition6.7b.bc.4X_CO2_concboundaryConditionImposed changing historical anthropogenic atmospheric composition, including CO2bc.011cim.1.activity.BoundaryCondition6.7b.bc.ant_wmg_concboundaryConditionImposed changing historical volcanic atmospheric compositionbc.012cim.1.activity.BoundaryCondition6.7b.bc.volc_wmg_concboundaryConditionA description of initial condition for the control runic.001cim.1.activity.InitialCondition6.7b.icinitialConditionP5Y1850-12-30 00:00:00+00:00cim.1.shared.ClosedDateRange1850-01-01 00:00:00+00:00Begin in 1850 and run for 5 yearsstc.038cim.1.activity.SpatioTemporalConstraint6.7b.stc.1850_5yrspatioTemporalConstraintaqua4xCO2Johns T.C., et al. (2005). "HadGEM1 - Model description and analysis of preliminary experiments for the IPCC Fourth Assessment Report". Hadley Centre Technical Note 55, Met, Office, Exeter 74pp.cim.1.shared.CitationJohns_2005Offline OtherMartin G.M., M.A. Ringer, V.D. Pope, A. Jones, C. Dearden and T.J. Hinton (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1 - Part 1: Model description and global climatology. Journal of Climate, American Meteorological Society, Vol. 19, No.7, pages 1274-1301.cim.1.shared.CitationMartin 2006Offline RefereedSpecification of the atmosphere grid configuration utilised in the Met Office Hadley Centre's HadGEM1 and HadGEM2 climate models. The key features of the N96L38 grid configuration, which is utilised by the Met Office Hadley Centre HadGAM1 and HadGAM2 atmosphere models, are as follows. The grid is logically rectangular and dimensioned (i=192, j=145, k=38), where i = longitude, j = latitude, k = level. Horizontal grid cell size is 1.875 degrees in longitude by 1.25 degrees in latitude. Vertical levels are terrain-following for levels up to k=29 and constant thickness above that level. Grid staggering (i.e. between the sub-grids used by scalar (physics) and vector quantities) is based upon the Arakawa-C grid configuration. Array indexing in the latitude direction starts at the south pole. For an unrotated grid mesh, longitude (i=0.5) corresponds to Greenwich meridian. In the Unified Model, the north and south poles coincide with the bounding half-integer j planes, i.e. j=0.5 and j=M-0.5. P-points and u-points exist at the poles, but not v-points. At the poles all values of P variables are set equal. Likewise for scalar variables rho, theta, m, w.UM N96L38 ATM Grid SystemTrueMet Office Unified Model 192-column 38-level Atmosphere Grid Systemcim.1.grids.GridMosaicUM N96L38 ATM Grid System1Horizontal properties: The N96 Grid represents the 192-column horizontal coordinate system utilised within the Met Office Hadley Centre HadGAM1 and HadGAM2 atmosphere models. This grid defines the horizontal locations of the physics (P) variables computed by these atmosphere models. The locations of U variables are offset by one-half of a grid cell to the east of P grid locations. The locations of V variables are offset by one-half of a grid cell to the north of P grid locations. Vertical properties: Vertical levels are terrain-following for levels up to k=29 and constant thickness above that level.logically_rectangular90360cim.1.grids.GridExtent-9001.875 degrees in longitude by 1.25 degrees in latitudecim.1.grids.GridTileResolutionTypecim.1.grids.GridPropertyNumberOfLatitudinalGridCells145cim.1.grids.GridPropertyNumberOfLongitudinalGridCells192cim.1.grids.GridTileN96cim.1.grids.GridTileResolutionTypecim.1.grids.GridPropertyTopModelLevel39254.8cim.1.grids.GridPropertyNumberOfLevelsBelow850hPan/acim.1.grids.GridPropertyNumberOfLevelsAbove200hPan/acim.1.grids.GridPropertyNumberOfLevels38
hybrid height
cim.1.grids.VerticalCoordinateListcim.1.grids.GridPropertyHybridizationHybrid height, terrain-following near bottom boundaryhybrid
regular_lat_lon
Metafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.574053+00:0056259768-e2b1-11df-aab5-00163e9152a5--cmip5BBUM N96L38 ATM GRID SYSTEMMetafor CMIP5 Questionnairemetafor-qcim.1.grids.GridSpecGrid SpecBB2012-04-23 15:58:33.574053+00:001
2012-04-23 15:58:33.218071+00:00812b0f12-482a-11e1-bb6f-00163e9152a5--cmip5ACAQUA4XCO2Metafor CMIP5 Questionnairemetafor-qcim.1.misc.DocumentSetSimulationAC2Bellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherCollins W.J. , N. Bellouin, M. Doutriaux-Boucher, N. Gedney, T. Hinton, C.D. Jones, S. Liddicoat, G. Martin, F. O'Connor, J. Rae, C. Senior, I. Totterdell, and S. Woodward (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, Technical Note 74http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdfcim.1.shared.CitationCollins et al. 2008Online OtherThe HadGEM2-A model is a configuration of the HadGEM2 model which is an atmosphere only simulation with other component interfaces replaced with ancillary file input.Hadley Global Environment Model 2 - AtmosphereMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.039169+00:007a2b64cc-03ca-11e1-a36a-00163e9152a5MOHCcmip5AAHADGEM2-AMetafor CMIP5 Questionnairemetafor-qcim.1.software.ModelComponentModelAA2012-04-23 15:58:33.039169+00:0012009-01-01 00:00:00+00:00Chris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderGill Martin
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
mark.webb@metoffice.gov.ukGill Martincim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/people/gill-martin
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
HADGEM2-ABellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherThe model includes interactive schemes for sulphate, sea salt, black carbon from fossil-fuel emissions, organic carbon from fossil-fuel emissions, mineral dust, and biomass-burning aerosols. The model also includes a fixed monthly climatology of mass-mixing ratios of secondary organic aerosols from terpene emissions (biogenic aerosols).AerosolsMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.588232+00:007a44cb24-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.588232+00:001TrueAerosolscim.1.software.ComponentPropertyAerosol Key PropertiesTrueAerosolSchemeScopecim.1.software.ComponentPropertyAerosolSchemeScopeWhole atmosphereTrueBasicApproximationscim.1.software.ComponentPropertyBasicApproximationsModal scheme, mass as a tracer, number inferred from prescribed size distributionsTrueListOfPrognosticVariablescim.1.software.ComponentPropertyListOfPrognosticVariables3D mass/volume mixing ratio for aerosolsTrueNumberOfTracerscim.1.software.ComponentPropertyNumberOfTracers21TrueFamilyApproachcim.1.software.ComponentPropertyFamilyApproachNoTrueAerosolTimeStepFrameworkcim.1.software.ComponentPropertyAerosolTimeStepFrameworkTrueMethodcim.1.software.ComponentPropertyMethodUses AtmosphericChemistry time steppingEmissions of aerosols from biomass burning injected at the surface for grassfires and homogeneously throughout the boundary layer for forest fire emissions. Represented as a monthly mean field on the N96 gridTruebiomass_burningcim.1.software.ComponentPropertybiomass_burningbiomass_burning_carbon_fluxkg/m2/sEmissions of primary black carbon from fossil fuel and biofuel injected at 80m as a monthly mean field on the N96 gridTruefossil_fuel_black_carboncim.1.software.ComponentPropertyfossil_fuel_black_carbontendency_of_atmosphere_mass_content_of_black_carbon_dry_aerosol_due_to_emissionkg/m2/sEmissions of primary organic carbon from fossil fuel and biofuel injected at 80m as a monthly mean field on the N96 gridTruefossil_fuel_organic_carbcim.1.software.ComponentPropertyfossil_fuel_organic_carbkg/m2/sChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
AerosolsAndres, R.J. and Kasgnoc, A.D. (1998) A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103, 25251-25261, 1998.cim.1.shared.CitationAndres 1998Offline RefereedBellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherDerwent, R.G., Collins, W.J., Jenkin, M.E., and Johnson, C.E. (2003) The global distribution of secondary particulate matter in a 3-D Lagrangian chemistry transport model. J. Atmos. Chem., 44, 57-95, 2003.cim.1.shared.CitationDerwent 2003Offline RefereedJones A., D.L. Roberts, M.J. Woodage and C.E. Johnson (2001) Indirect sulphate aerosol forcing in a climate model with an interactive sulpher cycle.. J. Geophys Res., 106, 20293-20310.cim.1.shared.CitationJones 2001Offline RefereedLamarque, J.F. et al. (2009) Gridded emissions in support of IPCC AR5.. IGACtivities 41, 12-18, May 2009.cim.1.shared.CitationLamarque 2009Offline OtherMoss, R.H., et al. (2010) The next generation of scenarios for climate change research and assessment. Nature, 463, 747-756, doi:10.1038/nature08823cim.1.shared.CitationMoss 2010Offline RefereedSpiro, P.A., Jacob, D.J., and Logan, J.A. (1992) Global inventory of sulfur emissions with 1x1 resolution. J. Geophys. Res., 97, 6023-6036, 1992.cim.1.shared.CitationSpiro 1992Offline RefereedWoodward S., (2001) Modelling the atmospheric life cycle and radiative impact of mineral dust in the Hadley Centre climate model. J. Geophys. Res., 106, D16, 18,155-18,166, 2001.cim.1.shared.CitationWoodward 2001Offline RefereedEmissions for the sulphur cycle include emissions of ammonium sulphate aerosol precursors: sulphur dioxide and dimethylsulphide. For sulphur dioxide, anthropogenic emissions are split into surface and chimney-level emissions. Natural emissions from volcanoes are provided as a 3D field. DMS emissions are provided by the ocean biogeochemistry scheme over the ocean, and provided through a dataset over land surfaces. All sulphur-cycle emissions are expressed in term of mass of sulphur within the model. For black-carbon and organic-carbon aerosols from fossil-fuel and biofuel emissions, emissions are provided at near-surface level. These emissions are expressed in term of mass of carbon. For biomass-burning aerosol, emissions are provided as two fields: surface emissions, and high-level emissions. The latter field is homogeneously distributed across the boundary layer. Biomass emissions are expressed in term of mass of carbon. Emissions for sea-salt and mineral dust aerosols are computed interactively from the modelled meteorology and soil properties by their respective schemes. The climatology of monthly-averaged mass-mixing ratios of secondary organic aerosol from terpene emissions was derived from the chemistry-transport model STOCHEM (Derwent et al., 2003). 2D emissions: All emission fields are provided as monthly means, which are time interpolated by the model every 5 days. Sulphur dioxide emissions are derived from sector-based emissions datasets for IPCC AR5 (Lamarque et al., 2009). Emissions for all sectors are considered surface emissions, except for energy emissions and half of industrial emissions which are considered chimney-level emissions. Emissions for land-based dimethylsulphide are taken from Spiro et al. (1992). Anthropogenic emissions for black carbon and organic carbon are from the sum of all sector-based emissions in the IPCC AR5 dataset. They are emitted in the second level of the model (near-surface emissions). Anthropogenic emissions for biomass-burning aerosol are the sum of IPCC AR5 emissions for black and organic carbon from biomass-burning emissions. Grass fire emissions are assumed to be surface emissions, while forest fire emissions are distributed homogeneously across the boundary layer. Emissions based on interactive schemes: Sea-salt and mineral dust aerosol emissions are computed interactively depending on modelled near-surface wind speeds and soil properties (Jones et al., 2001; Woodward, 2001). The only 3D aerosol-related emissions used in the model are natural emissions of sulphur dioxide from background volcanoes (Andres and Kasgnoc, 1998). Aircraft emissions of aerosol precursors or primary [aerosols] are not included in the model.Aerosol Emission and ConcentrationMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.484546+00:007abdf076-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.484546+00:001True2D-Emissionscim.1.software.ComponentProperty2D-EmissionsTrueMethodcim.1.software.ComponentPropertyMethodInteractiveOtherTrueSourceTypescim.1.software.ComponentPropertySourceTypesAnthropogenicBare groundOtherSea surfaceTrueInteractivEmittedSpeciescim.1.software.ComponentPropertyInteractivEmittedSpeciesMineral dust, sea-salt, ocean-based DMSTrueMethodCharacteristicscim.1.software.ComponentPropertyMethodCharacteristicsCMIP5 emission timeseries (monthly from linear interpolation of decadal means)TrueEmittedSpeciescim.1.software.ComponentPropertyEmittedSpeciesSulphur dioxide, ammonia, fossil-fuel black carbon, fossil-fuel organic carbon, biomass-burningTrueother sourcescim.1.software.ComponentPropertyother sourcesNatural emissions from land surface of DMS and vegetation emissionsTrue3D-Emissionscim.1.software.ComponentProperty3D-EmissionsTrueMethodcim.1.software.ComponentPropertyMethodPrescribed (climatology)TrueSourceTypescim.1.software.ComponentPropertySourceTypesOtherVolcanoesTrueClimatologyTypecim.1.software.ComponentPropertyClimatologyTypeMonthlyTrueClimEmittedSpeciescim.1.software.ComponentPropertyClimEmittedSpeciesSulphur dioxide from degassing volcanoes, secondary organic aerosolTrueConcentrationscim.1.software.ComponentPropertyConcentrationsTruePrescribedLowerBoundarycim.1.software.ComponentPropertyPrescribedLowerBoundaryN/ATruePrescribedUpperBoundarycim.1.software.ComponentPropertyPrescribedUpperBoundaryN/ATruePrescribedWithinAtmoscim.1.software.ComponentPropertyPrescribedWithinAtmosBiogenic aerosolChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Aerosol Emission And ConcAerosolEmissionAndConccim.1.software.ModelComponentAerosolEmissionAndConc
Bellouin N., O. Boucher, J. Haywood, C. Johnson, A. Jones, J. Rae, and S. Woodward. (2007) Improved representation of aerosols for HadGEM2.. Meteorological Office Hadley Centre, Technical Note 73, March 2007http://www.metoffice.gov.uk/publications/HCTN/HCTN_73.pdfcim.1.shared.CitationBellouin et al. 2007Online OtherCollins W.J. , N. Bellouin, M. Doutriaux-Boucher, N. Gedney, T. Hinton, C.D. Jones, S. Liddicoat, G. Martin, F. O'Connor, J. Rae, C. Senior, I. Totterdell, and S. Woodward (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, Technical Note 74http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdfcim.1.shared.CitationCollins et al. 2008Online OtherJones A., D.L. Roberts, M.J. Woodage and C.E. Johnson (2001) Indirect sulphate aerosol forcing in a climate model with an interactive sulpher cycle.. J. Geophys Res., 106, 20293-20310.cim.1.shared.CitationJones 2001Offline RefereedRoberts D.L., and A. Jones (2004) Climate sensitivity to black carbon aerosol from fossil fuel combustion. J. Geophys. Resr., 109,doi: 10.1029/2004JD004676.cim.1.shared.CitationRoberts & Jones 2004Offline RefereedWoodward S., (2001) Modelling the atmospheric life cycle and radiative impact of mineral dust in the Hadley Centre climate model. J. Geophys. Res., 106, D16, 18,155-18,166, 2001.cim.1.shared.CitationWoodward 2001Offline RefereedThe model includes interactive schemes for sulphate, sea salt, black carbon from fossil-fuel emissions, organic carbon from fossil-fuel emissions, mineral dust, and biomass-burning aerosols. The model also includes a fixed monthly climatology of mass-mixing ratios of secondary organic aerosols from terpene emissions (biogenic aerosols). All aerosol species, except sea-salt and biogenic aerosols, are advected using the tracer advection scheme and undergo wet and dry deposition. Wet deposition accounts for re-evaporation of precipitation (Bellouin et al., 2007). All aerosol species exert a direct effect (scattering and absorption of shortwave and longwave radiation) and thereby also a semi-direct effect (impact on atmospheric temperature and cloud profiles of aerosol absorption). All aerosol species, except black carbon and mineral dust, also contribute to both the first and second indirect effects on clouds, modifying cloud albedo and precipitation efficiency, respectively. The version of the sulphur cycle included in HadGEM2 is described in Jones et al. [2001] and Roberts and Jones [2004] with further improvements described hereafter. The sulphate scheme is a modal scheme where the free aerosol is assumed to have a log-normal size distribution in the Aitken and accumulation size ranges, which include particles with a radius less than 0.05 and 0.5 m, respectively. Sulphate aerosol may also be in a dissolved mode where layer clouds are present, thus affecting the cloud droplet size and exerting first and second indirect effects (modification of cloud albedo and precipitation efficiency, respectively). The sulphur cycle in HadGEM2 also includes improvements described by Bellouin et al. [2007]: condensation of sulphuric acid from dry oxidation of sulphur dioxide and dimethysulphide, and conversion from Aitken to accumulation mode particles by condensation. In addition, the oxidation of SO2 and DMS is now using oxidant concentrations (OH, HO2, H2O2, O3) provided by the interactive tropospheric chemistry scheme and depleted oxidants are fed back to the chemistry (alternatively, oxidant concentrations can be prescribed). Emissions of dimethylsulphide from the ocean is provided by the ocean biogeochemistry scheme. The sea salt scheme is a simple diagnostic scheme depending on wind speed and height above the surface to determine the number concentration of sea salt particles in two size modes (Jones et al., 2001). Schemes for black carbon from fossil-fuel emissions (Roberts and Jones, 2004), biomass-burning, and organic carbon from fossil-fuel emissions (Collins et al, 2008) include modes for freshly emitted particles that gradually age into another, more hygroscopic mode; there is also a mode for aerosols that have become incorporated into cloud droplets. Black carbon is considered to be slightly hygroscopic, only becoming incorporated into cloud droplets by diffusion, whereas organic carbon and biomass-burning aerosols are considered to act as cloud condensation nuclei. The mineral dust scheme is based on Woodward (2001) with further improvements made to the dust emission scheme (described in Collins et al, 2008): changes to values of the impact threshold friction velocity and parameterisation of the effect of soil moisture. The modelled horizontal flux includes a wide size range of particles from .06 to 2000 microns in 9 bins. Vertical flux is calculated for particles up to 60 microns in 6 bins, the size distribution following that of the horizontal flux in this range.Aerosol ModelMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.557197+00:007b37379c-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.557197+00:001TrueProcessescim.1.software.ComponentPropertyProcessesAdvection (horizontal)Advection (vertical)AgeingCoagulationCondensationDry depositionOxidation (gas phase)Oxidation (in cloud)SedimentationWet deposition (impaction scavenging)Wet deposition (nucleation scavenging)TrueCouplingWithcim.1.software.ComponentPropertyCouplingWithCloudsLandSurfaceOtherRadiationTrueGasPhasePrecursorscim.1.software.ComponentPropertyGasPhasePrecursorsAmmoniaDMSSO2Truevegetation model couplingcim.1.software.ComponentPropertyvegetation model couplingBare soil fraction for mineral dust emissionsTrueAerosolSchemecim.1.software.ComponentPropertyAerosolSchemeTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeBulkTrueBulkSpeciescim.1.software.ComponentPropertyBulkSpeciesBC (black carbon / soot)DustNitratePOM (particulate organic matter)Sea saltSOA (secondary organic aerosols)SulphateChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Aerosol ModelAerosolModelcim.1.software.ModelComponentAerosolModel
Davies T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood (2005) A new dynamical core for the Met Office's global and regional modelling of the atmosphere.. Quarterly Journal Royal Meteorology Society, 131, 1759-1782.cim.1.shared.CitationDavies 2005Offline RefereedGregory J., and P.R. Rowntree (1990) A mass flux convection scheme with representation of cloud ensemble characteristics and stability - dependent closure.. Monthly Weather Review, 118, 1483-1506.cim.1.shared.CitationGregory 1990Offline RefereedLock A.P., A.R. Brown, M.R. Bush, G.M. Martin, R.N.B. Smith et al. (2000) A new boundary layer mixing scheme. Part I: scheme description and single column model tests.. Monthly Weather Review, American Meteorological Society, 128, 3187-3199.cim.1.shared.CitationLock 2000Offline RefereedAerosol transport is done by the HadGEM2-ES tracer advection scheme, which includes large-scale advection (Davies et al. 2005), convective transport (Gregory and Rowntree, 1990), and boundary layer mixing (Lock et al., 2000).Aerosol TransportMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.588142+00:007a9d75a8-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.588142+00:001TrueMethodcim.1.software.ComponentPropertyMethodUses AtmosphericChemistry transport schemeTrueTurbulencecim.1.software.ComponentPropertyTurbulenceTrueMethodcim.1.software.ComponentPropertyMethodUse same turbulence scheme as AtmosphericChemistryChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Aerosol TransportAerosolTransportcim.1.software.ModelComponentAerosolTransport
Aerosolscim.1.software.ModelComponentAerosolsaerosol
Davies T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood (2005) A new dynamical core for the Met Office's global and regional modelling of the atmosphere.. Quarterly Journal Royal Meteorology Society, 131, 1759-1782.cim.1.shared.CitationDavies 2005Offline RefereedThe HadGEM2-ES model incorporates the Met Office's New Dynamics framework that provides a non-hydrostatic, fully compressible, deep atmosphere formulation with fewer approximations to the basic equations; semi-Lagrangian advection of all prognostic variables except density, permitting relatively long timesteps to be used at higher resolution; a conservative and monotone treatment of tracer transport; and improved geostrophic adjustment properties bringing better balance to the coupling. HadGEM2-ES includes interactive modelling of atmospheric aerosols, driven by surface and elevated emissions and including tropospheric chemical processes as well as physical removal processes such as washout. The aerosol species represented in the model are sulphate, black carbon, biomass smoke, sea salt, organic carbon, mineral dust and a biogenic climatology. The atmospheric component has a horizontal resolution of 1.25 degrees of latitude by 1.875 degrees of longitude with 38 layers in the vertical extending to over 39 km in height. The model uses the Arakawa C-grid horizontally and the Charney-Phillips grid vertically. The atmospheric timestep period is 30 minutes (48 timesteps per day).AtmosphereMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.315233+00:007bbe5cc2-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.315233+00:001TrueAtmospherecim.1.software.ComponentPropertyAtmos Key PropertiesTrueTop of Atmosphere Insolationcim.1.software.ComponentPropertyTop Of Atmos InsolationTrueImpactOnOzonecim.1.software.ComponentPropertyImpactOnOzoneNoTrueSolarConstantcim.1.software.ComponentPropertySolarConstantTrueTypecim.1.software.ComponentPropertyTypeTransientTrueCharacteristicscim.1.software.ComponentPropertyCharacteristicsNormalised to give a mean solar constant of 1365 Wm-2 over the 2 solar cycles 1860-1881.TrueOrbitalParameterscim.1.software.ComponentPropertyOrbitalParametersTrueTypecim.1.software.ComponentPropertyTypeFixedTrueComputationMethodcim.1.software.ComponentPropertyComputationMethodBerger 1978TrueReferenceDatecim.1.software.ComponentPropertyReferenceDate2000TrueModelFamilycim.1.software.ComponentPropertyModelFamilyAGCMTrueBasicApproximationscim.1.software.ComponentPropertyBasicApproximationsNon-hydrostaticTrueVolcanoesImplementationcim.1.software.ComponentPropertyVolcanoesImplementationVia stratospheric aerosols optical thicknessTrueVolcanoesImplementationMethodcim.1.software.ComponentPropertyVolcanoesImplementationMethodMonthly stratospheric optical depths, at 550nm, prescribed for quarter-spheres (90S-30S, 30S-0, 0-30N, 30N-90N)TrueOrographycim.1.software.ComponentPropertyOrographyTrueOrographyTypecim.1.software.ComponentPropertyOrographyTypePresent-dayAnthropogenic sulphur dioxide emissions injected at the surface, except for energy emissions and half of industrial emissions which are injected at 0.5 km to represent chimney-level emissions.Trueanthro_SO2_aerosolcim.1.software.ComponentPropertyanthro_SO2_aerosoltendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_emissionkg/m2/s3D concentrations of organic aerosols from biogenic emissions. [CHECK cf name and short name]Truebiogenic_emission_aerosocim.1.software.ComponentPropertybiogenic_emission_aerosomass_fraction_of_biogenic_nmvoc_expressed_as_carbon_in_airkg/kgConstant for land-based emissions amounting to 0.86 Tg/yr from Spiro et al., 1992)Trueland DMS emissionscim.1.software.ComponentPropertyland DMS emissionstendency_of_atmosphere_mass_content_of_dimethyl_sulfide_due_to_emissionkg/m2/sOcean dimethyl sulphide emissionsTrueocean_DMS_emissionscim.1.software.ComponentPropertyocean_DMS_emissionstendency_of_atmosphere_mass_content_of_dimethyl_sulfide_due_to_emissionkg/m2/ssea-ice area fraction values required by atmosphere model as derived from the recommended CMIP5 dataset.Truesea-ice_concentrationcim.1.software.ComponentPropertysea-ice_concentration1SST values required by atmosphere model as derived from the recommended CMIP5 dataset.Truesea_surface_temperaturecim.1.software.ComponentPropertysea_surface_temperatureKAnnual mean total solar radianceTruesolar irradiancecim.1.software.ComponentPropertysolar irradiancetoa_incoming_shortwave_fluxWm-2Stratospheric aerosol concentrations due to volcanic eruptions represented as optical thickness at 550nmTruevolcanic aerosolcim.1.software.ComponentPropertyvolcanic aerosoloptical_thickness_of_atmosphere_layer_due_to_aerosoldimensionless3D background emissions of sulphur dioxide from degassing volcanoes taken from Andres and Kasgnoc (1998). [This does not include SO2 emissions from biomass burning)Truevolcanic SO2 emissionscim.1.software.ComponentPropertyvolcanic SO2 emissionstendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_emissionkg/m2/sHalocarbons (CFCs and related gases) are supplied as equivalent concentrations of CFC-12 and HFC-134a made available from the CMIP5 database, expressed as a mass mixing ratio (kg/kg). These species represent the total radiative forcing from 27 halocarbon species.Truewell_mixed_gas_CFC-12cim.1.software.ComponentPropertywell_mixed_gas_CFC-12mass_fraction_of_cfc12_in_airkg/kgSurface methane concentrations prescribed as a single global constant provided as an annual number but added as a 2D surface and interpolated in the model at each timestep.Truewell_mixed_gas_CH4cim.1.software.ComponentPropertywell_mixed_gas_CH4mass_fraction_of_methane_in_airkg/kgCO2 concentrations prescribed as a single global constant provided as an annual number but interpolated in the model at each timestep. Provided as a mass mixing ratio with units of kg/kg. CO2 concentrations are passed to the model's radiation scheme, terrestrial carbon cycle and ocean carbon cycle.Truewell_mixed_gas_CO2cim.1.software.ComponentPropertywell_mixed_gas_CO2mass_fraction_of_carbon_dioxide_in_airkg/kgHalocarbons (CFCs and related gases) are supplied as equivalent concentrations of CFC-12 and HFC-134a made available from the CMIP5 database, expressed as a mass mixing ratio (kg/kg). These species represent the total radiative forcing from 27 halocarbon species. CF: mass_fraction_of_hfc134a_in_air (awaiting entry into CF-names)Truewell_mixed_gas_HFC-134acim.1.software.ComponentPropertywell_mixed_gas_HFC-134akg/kgN2O concentrations prescribed as a time series of annual global mean concentrations in all CMIP5 simulations. Concentrations used were interpolated from the annual concentrations every time step and passed to the models radiation scheme.Truewell_mixed_gas_N2Ocim.1.software.ComponentPropertywell_mixed_gas_N2Omass_fraction_of_nitrous_oxide_in_airkg/kgStratospheric Ozone prescribed as monthly 3D field derived from the CMIP5 recommended AC&C/SPARC ozone databaseTruewell_mixed_gas_Ozonecim.1.software.ComponentPropertywell_mixed_gas_Ozonemass_fraction_of_ozone_in_airkg/kgChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
AtmosphereDerbyshire S.H., A. V. Maidens, S. F. Milton, R. A. Stratton and M. R. Willett (2010) Adaptive detrainment in a convective parametrization. Submitted to Q.J. Royal Meteorol. Soc.cim.1.shared.CitationDerbyshire 2010Offline RefereedFritsch J. M., and C. F. Chappell (1980) Numerical prediction of convectively driven mesoscale pressure systems - Part I: Convective parameterization.. Journal of Atmospheric Sciences, 37, 1722-1733.cim.1.shared.CitationFritsch 1980Offline RefereedGrant A.L.M., and A. R. Brown, (1999) A similarity hypothesis for shallow cumulus transports.. Quarterly Journal of Royal Meteorological Society, 125, 1913-1936.cim.1.shared.CitationGrant 1999Offline RefereedGrant A.L.M., (2001) Cloud base fluxes in the cumulus-capped boundary layer.. Quarterly Journal of Royal Meteorological Society, 127: 407-421.cim.1.shared.CitationGrant 2001Offline RefereedGregory J., and P.R. Rowntree (1990) A mass flux convection scheme with representation of cloud ensemble characteristics and stability - dependent closure.. Monthly Weather Review, 118, 1483-1506.cim.1.shared.CitationGregory 1990Offline RefereedGregory J., (1999) Representation of the radiative effects of convective anvils.. Hadley Centre Technical Note 7., Met. Office, Exetercim.1.shared.CitationGregory 1999Offline OtherLock A.P., A.R. Brown, M.R. Bush, G.M. Martin, R.N.B. Smith et al. (2000) A new boundary layer mixing scheme. Part I: scheme description and single column model tests.. Monthly Weather Review, American Meteorological Society, 128, 3187-3199.cim.1.shared.CitationLock 2000Offline RefereedSmith R. N. B., (1990) A scheme for predicting layer clouds and their water content in a general circulation model. Quarterly Journal of Royal Meteorological Society, 116, 435-460.cim.1.shared.CitationSmith 1990Offline RefereedWilson D. R., and S. P. Ballard (1999) A microphysically based precipitation scheme for the Met Office Unified Model.. Quarterly Journal of Royal Meteorological Society, 125, 1607-1636.cim.1.shared.CitationWilson 1999Offline RefereedThe convection scheme is based on the mass flux scheme of Gregory and Rowntree (1990) but with major modifications. The scheme is explicitly coupled to the boundary layer scheme, and cumulus convection is similarly diagnosed using the mean humidity profile. If cumulus convection is diagnosed, then the boundary layer scheme is capped at the convective cloud base. The convection scheme is then triggered from the lifting condensation level in order to parameterize transports from cloud base upward. Deep and shallow convection are diagnosed separately and different thermodynamic closures are applied. In shallow convection the closure is based on Grant (2001); for deep convection a CAPE closure is used, based on Fritsch and Chappell (1980). A convective momentum transport (CMT) parameterization is used for both deep and shallow convection, based on a flux-gradient relationship obtained from the stress budget. A cloud-base closure for CMT is used, based on the assumption that large-scale horizontal pressure gradients should be continuous across cloud base. Entrainment and detrainment rates for shallow convection are parameterized as in Grant and Brown (1999). The radiative effects of convective anvils are represented by specifying a vertically varying convective cloud amount (Gregory 1999). The model includes adaptive detrainment parametrization to produce smoother mass-flux profiles and more realistic diabatic heating profiles. In addition the depth criterion for shallow convection has been removed to allow shallower clouds to rain provided their water content is sufficiently high.Atmospheric Convective Turbulent CloudMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.969625+00:007cbf84ca-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.969625+00:001TrueBoundaryLayerTurbulencecim.1.software.ComponentPropertyBoundaryLayerTurbulenceTrueSchemeNamecim.1.software.ComponentPropertySchemeNameOtherTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeVertical profile of KzTrueCounterGradientcim.1.software.ComponentPropertyCounterGradientYesTrueDeepConvectioncim.1.software.ComponentPropertyDeepConvectionTrueSchemeNamecim.1.software.ComponentPropertySchemeNameGregory and RowntreeTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeMass-fluxTrueProcessescim.1.software.ComponentPropertyProcessesConvective momentum transport (CMT)DetrainmentEntrainmentRadiative effects of anvilsUpdrafts and downdraftsTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodCAPETrueShallowConvectioncim.1.software.ComponentPropertyShallowConvectionTrueMethodcim.1.software.ComponentPropertyMethodSame as deep (unified)TrueOtherConvectioncim.1.software.ComponentPropertyOtherConvectionTrueSchemeNamecim.1.software.ComponentPropertySchemeNameMid-Level ConvectionTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeMass-fluxTrueLargeScalePrecipitationcim.1.software.ComponentPropertyLargeScalePrecipitationTrueSchemeNamecim.1.software.ComponentPropertySchemeNameWilson and Ballard (1999; updated)TruePrecipitatingHydrometeorscim.1.software.ComponentPropertyPrecipitatingHydrometeorsGraupelHailLiquid rainSnowTrueMicrophysicscim.1.software.ComponentPropertyMicrophysicsTrueSchemeNamecim.1.software.ComponentPropertySchemeNameSmith (1990) for cloud amount and cloud water content; Wilson and Ballard (1999, updated) for cloud microphysicsTrueProcessescim.1.software.ComponentPropertyProcessesCloud dropletsCloud iceEffect of graupelEffect of raindropsEffect of snowIce nucleationMixed phaseWater vapour depositionChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos Convect Turbul CloudSmith R. N. B., (1990) A scheme for predicting layer clouds and their water content in a general circulation model. Quarterly Journal of Royal Meteorological Society, 116, 435-460.cim.1.shared.CitationSmith 1990Offline RefereedWilson D. R., and S. P. Ballard (1999) A microphysically based precipitation scheme for the Met Office Unified Model.. Quarterly Journal of Royal Meteorological Society, 125, 1607-1636.cim.1.shared.CitationWilson 1999Offline RefereedThe large-scale cloud scheme for liquid cloud is that of Smith (1990), in which cloud water and cloud amount are diagnosed from total moisture and liquid water potential temperature using a triangular probability distribution function. The width of this distribution is diagnosed from the variability of the moisture and temperature of the surrounding grid points. A representation of the difference between cloud area fraction and cloud volume fraction is made by subdividing a single model layer into three. HadGEM1 and later models introduced an updated version of the Wilson and Ballard (1999) microphysics scheme. Transfers between water categories (ice, liquid water, vapor, and rain) are calculated based on physical process equations using particle size information.Atmospheric Cloud SchemeMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.887146+00:007cf30c50-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.887146+00:001TrueCloudSchemeAttributescim.1.software.ComponentPropertyCloudSchemeAttributesTrueSeparatedCloudTreatmentcim.1.software.ComponentPropertySeparatedCloudTreatmentYesTrueCloudOverlapcim.1.software.ComponentPropertyCloudOverlapOtherTrueProcessescim.1.software.ComponentPropertyProcessesArea cloud fraction, diagnostic RH_critTrueCloudOverlapSchemecim.1.software.ComponentPropertyCloudOverlapSchemeMaximum-random overlapTrueSubGridScaleWaterDistributioncim.1.software.ComponentPropertySubGridScaleWaterDistributionTrueTypecim.1.software.ComponentPropertyTypeDiagnosticTrueFunctionNamecim.1.software.ComponentPropertyFunctionNameSymmetric triangular distributionTrueFunctionOrdercim.1.software.ComponentPropertyFunctionOrderOne momentTrueCouplingWithConvectioncim.1.software.ComponentPropertyCouplingWithConvectionCoupled with deep and shallowChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos Cloud SchemeAtmosCloudSchemecim.1.software.ModelComponentAtmosCloudScheme
A. Bodas-Salcedo et al. (2008) Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities. J. Geophys. Res., 113, D00A13, 2008. doi:10.1029/2007JD009620.cim.1.shared.CitationBodas-Salcedo (2008)Offline RefereedA. Bodas-Salcedo et al. (2011) COSP: satellite simulation software for model assessment. Bull. Am. Meteorol. Soc. submitted, 2011.cim.1.shared.CitationBodas-Salcedo (2011)Offline RefereedH. Chepfer et al. (2008) Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model. Geophys. Res. Lett., 35, L15 704, 2008. doi:10.1029/2008GL034207.cim.1.shared.CitationChepfer 2008Offline RefereedJ. M. Haynes (2007) A multipurpose radar simulation package: Quickbeam. Bull. Am. Meteorol. Soc., 88 (11), 1723-1727, doi:10.1175/BAMS-88-11-1723.cim.1.shared.CitationHaynes 2007Offline RefereedKlein, S.A., and C. Jakob (1999) Validation and sensitivities of frontal clouds simulated by the ECMWF model. Mon. Weather Rev., 127 (10), 2514-2531.cim.1.shared.CitationKlein & Jacob 1999Offline RefereedMarchand, R. and T. Ackerman (2010) An analysis of cloud cover in multiscale modeling framework global climate model simulations using 4 and 1 km horizontal grids. J. Geophys. Res., 115, D16 207, doi:10.1029/2009JD013423.cim.1.shared.CitationMarchand & Ackerman 2010Offline RefereedWebb, M. et al., (2001) Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models. Clim. Dyn., 17, 905-922cim.1.shared.CitationWebb 2001Offline RefereedCOSP is a flexible software tool that enables the simulation of data from several satellite-borne sensors from model variables. It facilitates the use of satellite data to evaluate models in a process-oriented and consistent way. The flexibility of COSP makes it suitable to be used in any type of numerical model, from high-resolution cloud-resolving models to coarse-resolution models like the GCMs used in climate modeling, and the scales in between used in weather forecast models. The fact that COSP includes several simulators under the same interface facilitates the implementation of a range of simulators in models. A general description of COSP is given in Bodas-Salcedo et al. (2011). The following instrument instrument simulators are included:CloudSat (Haynes et al., 2007), CALIPSO (Chepfer et al., 2008), ISCCP (Klein and Jakob, 1999; Webb et al., 2001), MISR (Marchand and Ackerman, 2010), and MODIS.Cloud Observation Feedback PackageMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:31.969541+00:007d15abf2-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:31.969541+00:001TrueCOSPAttributescim.1.software.ComponentPropertyCOSPAttributesTrueCOSPRunConfigurationcim.1.software.ComponentPropertyCOSPRunConfigurationInlineTrueNumberOfGridpointscim.1.software.ComponentPropertyNumberOfGridpointsAllTrueNumberOfColumnscim.1.software.ComponentPropertyNumberOfColumns100TrueNumberOfLevelscim.1.software.ComponentPropertyNumberOfLevels38TrueInputsRadarcim.1.software.ComponentPropertyInputsRadarTrueRadarFrequencycim.1.software.ComponentPropertyRadarFrequency94GhzTrueRadarTypecim.1.software.ComponentPropertyRadarTypeSpaceborneTrueUseGasAbsorptioncim.1.software.ComponentPropertyUseGasAbsorptionYesTrueUseEffectiveRadiuscim.1.software.ComponentPropertyUseEffectiveRadiusYesTrueInputsLidarcim.1.software.ComponentPropertyInputsLidarTrueLidarIceTypecim.1.software.ComponentPropertyLidarIceTypeIce spheresTrueOverlapcim.1.software.ComponentPropertyOverlapMax / randomTrueISSCPAttributescim.1.software.ComponentPropertyISSCPAttributesTrueTopHeightcim.1.software.ComponentPropertyTopHeightIR brightness and visible optical depthTrueTopHeightDirectioncim.1.software.ComponentPropertyTopHeightDirectionHighest altitude levelChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Cloud SimulatorCloudSimulatorcim.1.software.ModelComponentCloudSimulator
AtmosConvectTurbulCloudcim.1.software.ModelComponentAtmosConvectTurbulCloud
Davies T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood (2005) A new dynamical core for the Met Office's global and regional modelling of the atmosphere.. Quarterly Journal Royal Meteorology Society, 131, 1759-1782.cim.1.shared.CitationDavies 2005Offline RefereedThe dynamical core for HadGEM2-ES (Davies et al., 2005) was designed to avoid unnecessary approximations and includes the following features: - non-hydrostatic, fully compressible, deep atmosphere formulation using a terrain following, height-based vertical coordinate. - discretization using a horizontally staggered Arakawa C-grid and vertically staggered Charney-Phillips grid; - semi-Lagrangian advection for all prognostic variables, except density, with conservative and monotone treatment of tracers, - Eulerian treatment of the continuity equation for mass conservation; - predictor-corrector implementation of a two time level, semi-implicit, time integration scheme, - three dimensional iterative solution of a variable-coefficient elliptic equation for the pressure increment at each time step.Atmospheric Dynamical CoreMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.138984+00:007c05d930-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.138984+00:001TrueListOfPrognosticVariablescim.1.software.ComponentPropertyListOfPrognosticVariablesCloudsPotential temperatureVapour/solid/liquidWind componentsTrueTopBoundaryConditioncim.1.software.ComponentPropertyTopBoundaryConditionRadiation boundary conditionTrueHeatTreatmentAtTopcim.1.software.ComponentPropertyHeatTreatmentAtTopN/ATrueWindTreatmentAtTopcim.1.software.ComponentPropertyWindTreatmentAtTopN/ATrueTimeSteppingFrameworkcim.1.software.ComponentPropertyTimeSteppingFrameworkTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeSemi-ImplicitTrueTimeStepcim.1.software.ComponentPropertyTimeStep30 minutesTrueHorizontalDiscretizationcim.1.software.ComponentPropertyHorizontalDiscretizationTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeFixed gridTruePoleSingularityTreatmentcim.1.software.ComponentPropertyPoleSingularityTreatmentOtherTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodCentered finite differencesTrueSchemeOrdercim.1.software.ComponentPropertySchemeOrderSecond orderTrueHorizontalDiffusioncim.1.software.ComponentPropertyHorizontalDiffusionTrueSchemeNamecim.1.software.ComponentPropertySchemeNameHorizontal diffusion schemeTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodIterated LaplacianChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos Dynamical CoreDavies T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood (2005) A new dynamical core for the Met Office's global and regional modelling of the atmosphere.. Quarterly Journal Royal Meteorology Society, 131, 1759-1782.cim.1.shared.CitationDavies 2005Offline RefereedA semi-lagrangian advection scheme is used. The advection of potential temperature, moisture, density and winds are treated separately. Moisture is conserved using a non-hydrostatic scheme.Atmospheric AdvectionMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.138906+00:007c090f10-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.138906+00:001TrueTracerscim.1.software.ComponentPropertyTracersTrueSchemeNamecim.1.software.ComponentPropertySchemeNameOtherTrueSchemeCharacteristicscim.1.software.ComponentPropertySchemeCharacteristicsCubic semi-LagrangianQuintic semi-LagrangianTrueConservedQuantitiescim.1.software.ComponentPropertyConservedQuantitiesTracer mass (all tracers)TrueConservationMethodcim.1.software.ComponentPropertyConservationMethodConservation fixerTrueMomentumcim.1.software.ComponentPropertyMomentumTrueSchemeNamecim.1.software.ComponentPropertySchemeNameOtherTrueSchemeCharacteristicscim.1.software.ComponentPropertySchemeCharacteristicsStaggered gridTrueConservedQuantitiescim.1.software.ComponentPropertyConservedQuantitiesTotal energyTrueConservationMethodcim.1.software.ComponentPropertyConservationMethodConservation fixerTrueStaggeringTypecim.1.software.ComponentPropertyStaggeringTypeArakawa C-gridTrueSchemeNameDetailcim.1.software.ComponentPropertySchemeNameDetailQuasi-cubicChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos AdvectionAtmosAdvectioncim.1.software.ModelComponentAtmosAdvection
AtmosDynamicalCorecim.1.software.ModelComponentAtmosDynamicalCore
Webster S., A.R. Brown, D.R. Cameron and C.P. Jones (2003) Improvements to the Representation of Orography in the Met Office Unified Model. Quarterly Journal of Royal Meteorological Society, 129 (591), 1989-2010 Part B.cim.1.shared.CitationWebster 2003Offline RefereedThe gravity wave drag (GWD) scheme is that of Webster et al. (2003) and includes low-level flow blocking. The actual gravity wave drag is that due to air flowing over orography; it is deposited where wave breaking is diagnosed (typically in the lower stratosphere). The remaining drag (about 80 per cent of the total) is attributed to flow around the orography and is deposited uniformly between the surface and the subgridscale orographic height.Atmosphere Orography And WavesMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.236538+00:007dd0cafe-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.236538+00:001TrueSubGridScaleOrographycim.1.software.ComponentPropertySubGridScaleOrographyEffect on dragTrueOrographicGravityWavescim.1.software.ComponentPropertyOrographicGravityWavesTrueSourceMechanismscim.1.software.ComponentPropertySourceMechanismsLinear mountain wavesOtherTrueCalculationMethodcim.1.software.ComponentPropertyCalculationMethodOtherTruePropagationSchemecim.1.software.ComponentPropertyPropagationSchemeLinear theoryTrueDissipationSchemecim.1.software.ComponentPropertyDissipationSchemeSingle waveTrueCalculationMethodDetailcim.1.software.ComponentPropertyCalculationMethodDetailAccounts for the anisotropy of the sub-grid orography in calculating the surface stress.TrueNon-OrographicGravityWavescim.1.software.ComponentPropertyNon-OrographicGravityWavesTrueSourceMechanismscim.1.software.ComponentPropertySourceMechanismsBackground spectrumTrueCalculationMethodcim.1.software.ComponentPropertyCalculationMethodSpatially dependentTemporally dependentTruePropagationSchemecim.1.software.ComponentPropertyPropagationSchemeNon-linear theoryTrueDissipationSchemecim.1.software.ComponentPropertyDissipationSchemeSpectralChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos Orography And WavesAtmosOrographyAndWavescim.1.software.ModelComponentAtmosOrographyAndWaves
Barker, H.W. and Z. Li (1995) Improved simulation of clear-sky shortwave radiative transfer in the CCC-GCM J. Climate, 8, 2213-2223cim.1.shared.CitationBarker 1995Offline RefereedClough, S.A, M.J. Iacono, and J. L. Moncet (1992) Line-by-line calculations of atmospheric fluxes and cooling rates: application to water vapour. J. Geophys. Res., 97(D14), 15671-15785cim.1.shared.CitationClough 1992Offline RefereedEdwards, J.M. and A. Slingo (1996) Studies with a flexible new radiation code. I: choosing a configuration for a large-scale model Q. J. R. Meteorol. Soc., 122, 689-720cim.1.shared.CitationEdwards 1996Offline RefereedEssery, R. L. H., Best, M. J., Betts, R. A., Cox, P. M., and Taylor, C. M. (2003) Explicit representation of subgrid heterogeneity in a GCM land-surface scheme J. Hydrometeorol., 43, 530-543.cim.1.shared.CitationEssery 2003Offline RefereedKristjansson, J.E., J.M. Edwards, and D.L. Mitchell (2000) Impact of a new scheme for optical properties of ice crystals on climates of two GCM's J. Geophys. Res., 105(D8), 10063-10079cim.1.shared.CitationKristjansson 2000Offline RefereedRothman, L. S., et al. (2003) The HITRAN molecular spectroscopic database: edition of 2000 including updates through 2001. J. Quant. Spectrosc. Radiat. Transfer, 82, 5-44DOI: 10.1016/S0022-4073(03)00146-8cim.1.shared.CitationRothman 2003Offline RefereedThe radiation code is the solution to the two-stream equations by Edwards and Slingo (1996), with some developments. It includes absorption by CO2, H2O, O3, O2, N2O, CH4 and CFCs. The longwave band from 1200 to 1500 cm-1 has been split at 1330 cm-1 in order to better represent the overlap between CH4 and N2O. Gaseous absorption is based on the updated High-Resolution Transmission (HITRAN) 2000 database (Rothman et al., 2003). The water vapour continuum is version 2.4 of the Clough-Kneizys-Davies (CKD) formulation (Clough et al., 1992) and has been included in the shortwave region. Treatment of the effects of non-spherical ice cloud particles are determined using the parameterization by KristjA?nsson et al. (2000). The sea surface albedo is based on the functional form of Barker and Li (1995), modified in the light of aircraft data, and the land-surface albedo is described by Essery et al. (2003). The direct (scattering and absorption of radiation) and indirect radiative effects of aerosols is included.Atmospheric RadiationMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.315105+00:007c81b8fc-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.315105+00:001TrueTimeStepcim.1.software.ComponentPropertyTimeStep3 hoursTrueAerosolTypescim.1.software.ComponentPropertyAerosolTypesBC (black carbon / soot)DustNitratePOM (particulate organic matter)Sea saltSOA (secondary organic aerosols)SulphateTrueGHG-Typescim.1.software.ComponentPropertyGHG-TypesCFCCH4CO2H2ON2OO3TrueLongwavecim.1.software.ComponentPropertyLongwaveTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeK-correlatedTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodTwo-streamTrueNumberOfSpectralIntervalscim.1.software.ComponentPropertyNumberOfSpectralIntervals9TrueShortwavecim.1.software.ComponentPropertyShortwaveTrueSchemeTypecim.1.software.ComponentPropertySchemeTypeOtherTrueNumberOfSpectralIntervalscim.1.software.ComponentPropertyNumberOfSpectralIntervals6TrueSchemeTypeDetailcim.1.software.ComponentPropertySchemeTypeDetailK-correlatedTrueCloudRadiativePropertiescim.1.software.ComponentPropertyCloudRadiativePropertiesTrueicecim.1.software.ComponentPropertyiceParameterised as function of ice mass mixing ratio and effective dimension.Trueliquidcim.1.software.ComponentPropertyliquidParameterised as function of liquid mass mixing ratio and effective radius.Chris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Atmos RadiationAtmosRadiationcim.1.software.ModelComponentAtmosRadiation
Atmospherecim.1.software.ModelComponentAtmosphereatmos
Johns T.C., C.F. Durman, H.T. Banks, M.J. Roberts, A.J. McLaren, J.K. Ridley, C.A. Senior, K.D. Williams, A. Jones, G.J. Rickard, S. Cusack, W.J. Ingram, M. Crucifix, D.M.H. Sexton, M.M. Joshi, B-W. Dong, H. Spencer, R.S.R. Hill, J.M. Gregory, A.B. Keen, A.K. Pardaens, J.A. Lowe, A. Bodas-Salcedo, S (2006). "The new Hadley Centre climate model HadGEM1: Evaluation of coupled simulations." Journal of Climate, American Meteorological Society, Vol. 19, No. 7, pages 1327-1353.cim.1.shared.CitationJohns_2006Offline RefereedThe major ice sheets (Greenland and Antarctica), and minor ice caps (Ellesmere, Devon and Baffin islands, Iceland, Svalbard, Novaya and Severnaya Zemlya, and Stikine) are depicted as static ice. They are initialised with a snow depth of 50,000 mm of water equivalent. Further ablation or accumulation has an impact on sea level. Runoff follows the river routing scheme and enters the oceans at predefined river outflow points. Calving at the coastal boundaries is simulated through a fresh water flux to the ocean evenly distributed over the area of observed icebergs in both hemispheres. The value of the freshwater flux is calculated to exactly balance the time mean ice sheet surface mass balance over the preindustrial control simulation.Land IceMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.379400+00:0080393b6e-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.379400+00:001TrueLand Icecim.1.software.ComponentPropertyLand Ice Key PropertiesTrueLandIceAlbedocim.1.software.ComponentPropertyLandIceAlbedoPrescribedChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land IceLand Ice SheetMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.379305+00:0080a4b272-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.379305+00:001TrueMassBalancecim.1.software.ComponentPropertyMassBalanceTrueDownscalingTechniquecim.1.software.ComponentPropertyDownscalingTechniqueN/AChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Ice SheetLandIceSheetcim.1.software.ModelComponentLandIceSheet
LandIcecim.1.software.ModelComponentLandIcelandIce
Cox P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and J. Smith (1999) The impact of new land surface physics on the GCM simulation of climate and climate sensitivity.. Climate Dynamics., 15, 183-203.cim.1.shared.CitationCox 1999Offline RefereedEssery, R. L. H., Best, M. J., Betts, R. A., Cox, P. M., and Taylor, C. M. (2003) Explicit representation of subgrid heterogeneity in a GCM land-surface scheme J. Hydrometeorol., 43, 530-543.cim.1.shared.CitationEssery 2003Offline RefereedThe second version of the U.K. Met Office Surface Exchange Scheme (MOSES-II) (Cox et al. 1999; Essery et al. 2003) is used. This allows tiling of land surface heterogeneity using nine different surface types. A separate surface energy balance is calculated for each tile and area-weighted grid box mean fluxes are computed, which are thus much more realistic than when a single surface type is assumed. In addition, vegetation leaf area is allowed to vary seasonally, providing a more realistic representation of seasonal changes in surface fluxes. Tiling of coastal grid points allows separate treatment of land and sea fractions. This in combination with the increased ocean model resolution greatly improves the coastline, particularly in island regions.Land SurfaceMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.038986+00:0081319052-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:33.038986+00:001TrueLand Surfacecim.1.software.ComponentPropertyLand Surface Key PropertiesTrueBasicApproximationscim.1.software.ComponentPropertyBasicApproximationsLinearisation of the surface energy balance equationsTrueGenealogycim.1.software.ComponentPropertyGenealogyOtherTrueCouplingWithAtmospherecim.1.software.ComponentPropertyCouplingWithAtmosphereImplicitTrueLandCoverTypescim.1.software.ComponentPropertyLandCoverTypesBare soilIceUrbanVegetatedTrueListOfPrognosticVariablescim.1.software.ComponentPropertyListOfPrognosticVariablesCanopy heat contentCanopy skin temperatureCanopy snow contentCanopy water contentSnow albedoSnow massSoil heat contentSoil ice contentSoil moistureSoil temperatureSurface skin temperatureTrueTilingcim.1.software.ComponentPropertyTilingCommon to all LS subcomponentsTrueTilingMethodcim.1.software.ComponentPropertyTilingMethodDynamicTrueConservationOfPropertiescim.1.software.ComponentPropertyConservationOfPropertiesTrueWaterTreatmentcim.1.software.ComponentPropertyWaterTreatmentAll water sent to ocean (with a lag)TrueLagOfWaterDischargecim.1.software.ComponentPropertyLagOfWaterDischargeSimulated by river flow modelTrueTimeSteppingFrameworkcim.1.software.ComponentPropertyTimeSteppingFrameworkTrueMethodcim.1.software.ComponentPropertyMethodUse Atmosphere time stepPrescribed fractions of urban areas, lakes, ice, broadleaf tree, needleleaf tree, C3 grass, C4 grass, shrub and bare soilTruechanging_anthro_land_usecim.1.software.ComponentPropertychanging_anthro_land_usevegetation_area_fractiondimensionless value between 0 and 1Chris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land SurfaceEssery R., M. Best, and P. Cox (2001) MOSES 2.2 technical documentation.. Hadley Centre Technical Note 30, 30 pp.http://www.metoffice.gov.uk/publications/HCTN/HCTN_30.pdfcim.1.shared.CitationEssery 2001Online OtherA bulk albedo is used for each of the surface types within the tile scheme. Non vegetation surfaces have a fixed specified snow free albedo. For vegetation the albedo is a combination of the bare soil albedo and the vegetation albedo, using Bear's law to determine the fraction of bare soil. The overall albedo then depends upon the amount of snow, varying between the snow free albedo and a specified deep snow albedo according to the depth of snow (Essery et al. 2001).Land Surface AlbedoMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.558877+00:008290b540-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.558877+00:001TrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingYesTrueSnowFreeAlbedocim.1.software.ComponentPropertySnowFreeAlbedoTrueTypecim.1.software.ComponentPropertyTypePrognosticTrueFunctionOfcim.1.software.ComponentPropertyFunctionOfVegetation stateVegetation typeTrueDirect-Diffusecim.1.software.ComponentPropertyDirect-DiffuseNo distinction between direct and diffuse albedoTrueNumberOfWavelenghBandscim.1.software.ComponentPropertyNumberOfWavelenghBands1TrueSnowAlbedocim.1.software.ComponentPropertySnowAlbedoTrueTypecim.1.software.ComponentPropertyTypePrognosticTrueFunctionOfcim.1.software.ComponentPropertyFunctionOfVegetation typeChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface AlbedoLandSurfaceAlbedocim.1.software.ModelComponentLandSurfaceAlbedo
Best, M.J., Beljaars, A., Polcher, J., Viterbo, P., (2004) A proposed structure for coupling tiled land-surfaces with the planetary boundary layer Journal of Hydrometeorology, 5, 1271-1278cim.1.shared.CitationBest 2004Offline RefereedEssery R., M. Best, and P. Cox (2001) MOSES 2.2 technical documentation.. Hadley Centre Technical Note 30, 30 pp.http://www.metoffice.gov.uk/publications/HCTN/HCTN_30.pdfcim.1.shared.CitationEssery 2001Online OtherThe surface energy balance is derived following the Penman-Montheith approach. This is extended to include thermal inertia for the surface and weakening of the coupling to the underlying soil through radiative processes (Essery et al. 2001). Surface heterogeneity is modelled using the tile approach, with a separate surface energy balance calculation for each tile. The temperature change associated with the outgoing longwave radiation is taken into account in the surface energy balance, but the net change to the radiative balance is not applied throughout the atmosphere. Instead it is assumed that the small changes to the longwave radiation pass through the atmosphere and are added to the top of atmosphere balance through an additional diagnostic. The surface is implicitly coupled to the atmosphere using the method of Best et al. (2004).Land Surface Energy BalanceMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.610163+00:008273cfa2-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.610163+00:001TrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingYesTrueNumberOfSurfaceTemperaturescim.1.software.ComponentPropertyNumberOfSurfaceTemperatures9TrueSubsurfaceTilingcim.1.software.ComponentPropertySubsurfaceTilingNoTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodTrueTypeOfEvaporationFormulationcim.1.software.ComponentPropertyTypeOfEvaporationFormulationCombinedTrueProcessescim.1.software.ComponentPropertyProcessesTranspirationChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface Energy BalanceLandSurfaceEnergyBalancecim.1.software.ModelComponentLandSurfaceEnergyBalance
Lakes are represented as a fixed, specified fraction of each gridbox. They provide a source of water to evaporate to the atmosphere but do not prognostically simulate water depth, storage or areal extent. Evaporated water from lakes is removed from soil moisture in unstressed regions. The model calculates the accumulated lake evaporation globally over a whole day and then applies an equal correction to all the 4 soil moisture levels for each grid box where the soil moisture is greater than the wilting point.Land Surface LakesMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.662148+00:00838d0fb6-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.662148+00:001TrueCouplingWithRiverscim.1.software.ComponentPropertyCouplingWithRiversNoTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodTrueIceTreatmentcim.1.software.ComponentPropertyIceTreatmentNoTrueLakesAlbedocim.1.software.ComponentPropertyLakesAlbedoOtherTrueLakesDynamicscim.1.software.ComponentPropertyLakesDynamicsTrueDynamicLakesExtentcim.1.software.ComponentPropertyDynamicLakesExtentNoTrueEndorheicBasinscim.1.software.ComponentPropertyEndorheicBasinsNoChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface LakesLandSurfaceLakescim.1.software.ModelComponentLandSurfaceLakes
Oki T., and Y.C. Sud (1998) Design of the Total Runoff Integrating Pathways [TRIP] - A global river channel network.. Earth Interactions, 2.cim.1.shared.CitationOki 1998Offline RefereedRealistic river flow is important for the freshwater contribution to the thermohaline circulation. The new Total Runoff Integrating Pathways (TRIP) dynamic river routing scheme (Oki and Sud 1998) advects runoff along prescribed channels using an embedded 1degree x 1degree river transport submodel. All rivers flow with an effective velocity of 0.4 m/s and a meander ratio of 1.4. River outflow to the ocean is included. Ancillary files specify 'inland basins' in which the river flows into an inland delta and the moisture enters the soil column. The model also allows for inland basins to be defined seperately, and spreads water proportionately over the river outflow points.Land Surface River RoutingMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.038776+00:00833d604c-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:33.038776+00:001TrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingYesTrueResolutioncim.1.software.ComponentPropertyResolutionIndependentTrueNumberOfReservoirscim.1.software.ComponentPropertyNumberOfReservoirs1TrueListOfPrognosticVariablescim.1.software.ComponentPropertyListOfPrognosticVariablesWaterTrueCouplingWithAtmospherecim.1.software.ComponentPropertyCouplingWithAtmosphereYesTrueDrainageMapcim.1.software.ComponentPropertyDrainageMapPresent-dayTrueQuantitiesExchangedWithAtmospherecim.1.software.ComponentPropertyQuantitiesExchangedWithAtmosphereWaterTrueOceanicDischargecim.1.software.ComponentPropertyOceanicDischargeTrueTypecim.1.software.ComponentPropertyTypeDirect (large rivers)TrueQuantitiesTransportedcim.1.software.ComponentPropertyQuantitiesTransportedWaterChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
River RoutingRiverRoutingcim.1.software.ModelComponentRiverRouting
Essery R., M. Best, and P. Cox (2001) MOSES 2.2 technical documentation.. Hadley Centre Technical Note 30, 30 pp.http://www.metoffice.gov.uk/publications/HCTN/HCTN_30.pdfcim.1.shared.CitationEssery 2001Online OtherSnow at the land surface is represented with a single layer. This layer is merged with the first soil layer in such a way that if the total depth of snow is less than the thickness of the first soil layer, then the thermal properties become a linear weighting of those from the snow and soil. If the snow depth exceeds the first soil layer thickness, then this layer can increase in thickness and adopts only the snow thermal properties (Essery et al. 2001).Land Surface SnowMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.730183+00:0081e4b31c-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.730183+00:001TrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingYesTrueNumberOfSnowLayerscim.1.software.ComponentPropertyNumberOfSnowLayers1TrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodTrueSnowAlbedocim.1.software.ComponentPropertySnowAlbedoDiagnosticTrueSnowDensitycim.1.software.ComponentPropertySnowDensityConstantTrueSnowWaterEquivalentcim.1.software.ComponentPropertySnowWaterEquivalentPrognosticTrueSnowHeatContentcim.1.software.ComponentPropertySnowHeatContentOtherTrueSnowTemperaturecim.1.software.ComponentPropertySnowTemperaturePrognosticTrueSnowCoverFractionscim.1.software.ComponentPropertySnowCoverFractionsGround snow fractionVegetation snow fractionTrueProcessescim.1.software.ComponentPropertyProcessesSnow interceptionSnow meltingChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface SnowLandSurfaceSnowcim.1.software.ModelComponentLandSurfaceSnow
Gedney, N., and Cox, P. M. (2003) The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity J. Hydromet., 4, 6, 1265-1275cim.1.shared.CitationGedney 2003Offline RefereedHouldcroft C., W. Grey, M. Barnsley, C. Taylor, S. Los and P. North (2008) New vegetation albedo parameters and global fields of background albedo derived from MODIS for use in a climate model. J. Hydrometeorology, Vol 10, No. 1, pp 183-198, doi:10.1175/2008JHM1021.1cim.1.shared.CitationHouldcroft et al 2008Online RefereedLand Surface SoilMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.884217+00:0081730870-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.884217+00:001TrueSoilMapcim.1.software.ComponentPropertySoilMapTrueTexturecim.1.software.ComponentPropertyTextureSoil properties are derived from fractions of clay, sand and silt defined in the datasets available from the IGBP DISTrueStructurecim.1.software.ComponentPropertyStructureThe soil has four layers of increasing thickness up to a depth of 3m each with the same soil properties. In addition there is a deeper layer (extending down to 6m below the surface) which has a saturated hydraulic conductivity which decreases exponentially with depth (Gedney and Cox, 2003)TrueAlbedocim.1.software.ComponentPropertyAlbedoDerived from MODIS data as defined in Houldcroft et al. (2008)TrueWaterTablecim.1.software.ComponentPropertyWaterTableAs described in Gedney and Cox (2003)Chris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface SoilLand Surface Soil Heat TreatmentMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.806376+00:0081c113bc-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.806376+00:001TrueSoilHeatTreatmentAttributescim.1.software.ComponentPropertySoilHeatTreatmentAttributesTrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingNoTrueNumberOfGroundHeatLayerscim.1.software.ComponentPropertyNumberOfGroundHeatLayers4TrueMethodcim.1.software.ComponentPropertyMethodTrueHeatStoragecim.1.software.ComponentPropertyHeatStorageExplicit diffusionTrueProcessescim.1.software.ComponentPropertyProcessesSoil moisture freeze-thawChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surf Soil Heat TreatmentLandSurfSoilHeatTreatmentcim.1.software.ModelComponentLandSurfSoilHeatTreatment
Clark, D. B., and Gedney, N. (2008) Representing the effects of subgrid variability of soil moisture on runoff generation in a land surface model J. Geophys. Res., 113, D10, D10111.cim.1.shared.CitationClark 2008Offline RefereedGedney, N., and Cox, P. M. (2003) The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity J. Hydromet., 4, 6, 1265-1275cim.1.shared.CitationGedney 2003Offline RefereedThe large-scale hydrology scheme (Gedney et al, 2003 and Clark and Gedney, 2008) is incorporated into the land surface soil hydrology. This allows for the deeper layers to become saturated and a water table to form. Deep run-off is lost through lateral flow below the water table. Excess (supersaturated) soil water (e.g. through snowmelt) is now drained into the soil layer below instead of simply run-off from the top layer. This increases soil moisture in the lower soil layers and so helps to reduce the water stress on vegetation following snowmelt in Northern Hemispheric continents.Land Surface Soil HydrologyMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.884143+00:008176657e-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.884143+00:001TrueSoilHydrologyAttributescim.1.software.ComponentPropertySoilHydrologyAttributesTrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingNoTrueNumberOfGroundWaterLayerscim.1.software.ComponentPropertyNumberOfGroundWaterLayers4TrueWaterStorageMethodcim.1.software.ComponentPropertyWaterStorageMethodExplicit diffusionTrueSoilMoistureFreezingcim.1.software.ComponentPropertySoilMoistureFreezingTrueNumberOfGroundIceLayerscim.1.software.ComponentPropertyNumberOfGroundIceLayers4TrueIceStorageMethodcim.1.software.ComponentPropertyIceStorageMethodPrognostic frozen fraction of saturationTruePermafrostcim.1.software.ComponentPropertyPermafrostOtherTrueRunoff-Drainagecim.1.software.ComponentPropertyRunoff-DrainageTrueMethodcim.1.software.ComponentPropertyMethodDifferentiated drainage and runoffTrueProcessescim.1.software.ComponentPropertyProcessesDeep drainageInfiltration excess runoffChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surf Soil HydrologyLandSurfSoilHydrologycim.1.software.ModelComponentLandSurfSoilHydrology
LandSurfaceSoilcim.1.software.ModelComponentLandSurfaceSoil
Clark, D. B., and Gedney, N. (2008) Representing the effects of subgrid variability of soil moisture on runoff generation in a land surface model J. Geophys. Res., 113, D10, D10111.cim.1.shared.CitationClark 2008Offline RefereedCollatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A. (1991) Physiological and environmental-regulation of stomatal conductance, photosynthesis and transpiration - a model that includes a laminar boundary-layer Agr. Forest Meteorol., 54, 107-136.cim.1.shared.CitationCollatz 1991Offline RefereedCollatz, G. J., Ribas-Carbo, M., and Berry, J. A. (1992) Coupled photosynthesis-stomatal conductance model for leaves of C4 plants Aust. J. Plant Physiol., 19, 519-538.cim.1.shared.CitationCollatz 1992Offline RefereedCox P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and J. Smith (1999) The impact of new land surface physics on the GCM simulation of climate and climate sensitivity.. Climate Dynamics., 15, 183-203.cim.1.shared.CitationCox 1999Offline RefereedCox, P.M. (2001) Description of the TRIFFID dynamic global vegetation model.. Hadley Centre Technical Note 24, Hadley Centre, Met Office, UK.http://www.metoffice.gov.uk/publications/HCTN/HCTN_24.pdfcim.1.shared.CitationCox 2001Online OtherGedney, N., and Cox, P. M. (2003) The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity J. Hydromet., 4, 6, 1265-1275cim.1.shared.CitationGedney 2003Offline RefereedMercado, L. M., Huntingford, C., Gash, J. H. C., Cox, P. M., and Jogireddy, V. (2007) Improving the representation of radiation interception and photosynthesis for climate model applications. Tellus, 59B, 553-565.cim.1.shared.CitationMercado 2007Offline RefereedThe land surface scheme represents 5 vegetation functional types (PFTs): broadleaf and needleleaf tree, C3 and C4 grass and shrub, the fractions of which can be specified or simulated by the HadGEM2 model (Cox 2001). For HadGEM2-A they are specified. The representation of photosynthesis is that of Collatz et al. (1991) for C3-type photosynthesis and Collatz et al. (1992) for C4-type photosynthesis, as described in Cox et al. (1999). Photosynthesis is also directly sensitive to the leaf nitrogen concentrations (specified) and the leaf temperature. The phenological status alters the leaf area index (LAI) of the canopy and is soley a function of leaf temperature (with pre-specified tolerances to low temperatures) and includes the effects of leaf dropping and budburst in a way corresponding to a chill-day parametrization. It also includes a representation of the vertical profiles of light and nitrogen through the canopy (Mercardo et al., 2007).Land Surface VegetationMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:32.959653+00:00820f000e-03ca-11e1-a36a-00163e9152a5cmip5Metafor CMIP5 Questionnairecim.1.software.ModelComponent2012-04-23 15:58:32.959653+00:001TrueSpecificTilingcim.1.software.ComponentPropertySpecificTilingYesTrueVegetationRepresentationcim.1.software.ComponentPropertyVegetationRepresentationVegetation typesTrueVegetationTimeVariationcim.1.software.ComponentPropertyVegetationTimeVariationPrescribed (varying from files)TrueInterceptioncim.1.software.ComponentPropertyInterceptionYesTrueVegetationTypescim.1.software.ComponentPropertyVegetationTypesBroadleaf treeC3 grassC4 grassNeedleleaf treeOtherTrueSchemeMethodcim.1.software.ComponentPropertySchemeMethodTruePhenologycim.1.software.ComponentPropertyPhenologyPrognosticTrueLAIcim.1.software.ComponentPropertyLAIPrognosticTrueBiomasscim.1.software.ComponentPropertyBiomassDiagnosticTrueBioGeographycim.1.software.ComponentPropertyBioGeographyOtherTrueStomatalResistanceFunctionOfcim.1.software.ComponentPropertyStomatalResistanceFunctionOfCO2LightTemperatureWater availabilityChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyPIhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrefunderChris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartycontacthttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrecentre
Land Surface VegetationLandSurfaceVegetationcim.1.software.ModelComponentLandSurfaceVegetation
LandSurfacecim.1.software.ModelComponentLandSurfaceland
modelcim.1.software.ModelComponentmodel
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrecontactMachine IBM Power 6 and compiler OtherMetafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.245513+00:00b765775a-e2ac-11df-9efb-00163e9152a5MOHCcmip5BAIBM POWER 6_OTHERMetafor CMIP5 Questionnairemetafor-qcim.1.shared.PlatformPlatformBA2012-04-23 15:58:33.245513+00:001IBM Power 6_Othercim.1.shared.CompilerOther12.1.0.032Infiniband2cim.1.shared.MachineIBM Power 6AIXOtherParallelIBMcim.1.shared.MachineCompilerUnitM Webb, J. Williams, T. Andrews, A. Bodas-Salcedo, Y Tsushima, J Hughes, C Jonescim.1.shared.PerpetualPeriodinitialised as for the aquaControl simulationTruecim.1.activity.ConformanceReference to a NumericalRequirement called ic.001 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferenceic.001NumericalRequirement1via inputsFixed values applied for simulation period as defined in http://www.atmos.ucla.edu/~brianpm/cfmip2_aqua.html. CO2 values increased by a factor 4 from the aquaControl run.Truecim.1.activity.ConformanceReference to a NumericalRequirement called bc.011 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.011NumericalRequirement1via inputsTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.012 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.012NumericalRequirement1not applicableTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.014 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.014NumericalRequirement1not applicableTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.015 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.015NumericalRequirement1not applicableTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.016 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.016NumericalRequirement1not applicableTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.017 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.017NumericalRequirement1not applicableTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.065 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.065NumericalRequirement1via inputsFixed CO2 value from the aquaControl simulation increased by a factor 4.Truecim.1.activity.ConformanceReference to a NumericalRequirement called bc.066 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.066NumericalRequirement1via inputsStarts 1978-09-01 and runs for 5 years.Truecim.1.activity.ConformanceReference to a NumericalRequirement called stc.038 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencestc.038NumericalRequirement1standard configOzone forcing only - follows recommendations for the aqua planet experiments as defined at http;//www.atmos.ucla.edu/~brianpm/cfmip2_aqua.htmlTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.018 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.018NumericalRequirement1via inputsFixed solar conditions as defined at http;//www.atmos.ucla.edu/~brianpm/cfmip2_aqua.htmlTruecim.1.activity.ConformanceReference to a NumericalRequirement called bc.021 in a experiment called 6.7b aqua4xCO2cbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferencebc.021NumericalRequirement1via inputsbranches at 1978-09-010ab05284-482a-11e1-9799-00163e9152a5cim.1.shared.DocReferenceaquaControlsimulation2P5Ycim.1.shared.ClosedDateRange1978-09-01 00:00:00+00:00The resources(deployment) on which this simulation rancim.1.software.DeploymentReference to a platform called IBM Power 6b765775a-e2ac-11df-9efb-00163e9152a5cim.1.shared.DocReferenceIBM Power 6platform1Consistent with CFMIP requirements this aquaplanet simulation was run with GHGs set to the 4 x the mean concentration from the AMIP run, with zonally uniform SSTs on a planet without continents, constant equinox orbital conditions, and no sea-icecim.1.software.ConnectionReference to a fileVariable called CO2_concentration_mmr in a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceCO2_concentration_mmrfileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called well_mixed_gas_CO2 in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencewell_mixed_gas_CO2componentProperty1cim.1.software.ConnectionEndpointFixed throughout simulation at constanta value of 4x the concentration used for the aquaControl simulation.Truecim.1.software.CouplingboundaryConditionReference to a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceGHG_aquaplanetdataObject1cim.1.software.CouplingEndpointReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing30minutesExactcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called CH4_concentration_mmr in a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceCH4_concentration_mmrfileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called well_mixed_gas_CH4 in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencewell_mixed_gas_CH4componentProperty1cim.1.software.ConnectionEndpointFixed at a constant value throughout simulation.Truecim.1.software.CouplingboundaryConditionReference to a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceGHG_aquaplanetdataObject1cim.1.software.CouplingEndpointReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing30minutesExactcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called N2O_concentration_mmr in a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceN2O_concentration_mmrfileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called well_mixed_gas_N2O in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencewell_mixed_gas_N2OcomponentProperty1cim.1.software.ConnectionEndpointFixed at a constant value throughout simulation.Truecim.1.software.CouplingboundaryConditionReference to a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceGHG_aquaplanetdataObject1cim.1.software.CouplingEndpointReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing30minutesTimeInterpolationcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called Halocarbon_concentration_mmr in a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceHalocarbon_concentration_mmrfileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called well_mixed_gas_CFC-12 in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencewell_mixed_gas_CFC-12componentProperty1cim.1.software.ConnectionEndpointFixed at a constant value throughout simulation.Truecim.1.software.CouplingboundaryConditionReference to a dataObject called GHG_aquaplanetb3d6256a-4d92-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceGHG_aquaplanetdataObject1cim.1.software.CouplingEndpointReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing30minutesExactcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called ozone concentration in a dataObject called aquaplanet_ozone13349286-4cf7-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceozone concentrationfileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called well_mixed_gas_Ozone in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencewell_mixed_gas_OzonecomponentProperty1cim.1.software.ConnectionEndpointTruecim.1.software.CouplingboundaryConditionReference to a dataObject called aquaplanet_ozone13349286-4cf7-11e1-a81a-00163e9152a5cim.1.shared.DocReferenceaquaplanet_ozonedataObject1cim.1.software.CouplingEndpointcim.1.software.SpatialRegriddingconservativeReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing1monthsTimeInterpolationcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called Total Solar Irradiance in a dataObject called solar753a78ee-e2ac-11df-b3ef-00163e9152a5cim.1.shared.DocReferenceTotal Solar IrradiancefileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called solar irradiance in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencesolar irradiancecomponentProperty1cim.1.software.ConnectionEndpointFixed at a constant value equivalent to a solar constant of 1365 W.m-2 throughout simulation.Truecim.1.software.CouplingboundaryConditionReference to a dataObject called solar753a78ee-e2ac-11df-b3ef-00163e9152a5cim.1.shared.DocReferencesolardataObject1cim.1.software.CouplingEndpointReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing5daysTimeInterpolationcim.1.software.TimeTransformationFilecim.1.software.ConnectionReference to a fileVariable called sea surface temperature change in a dataObject called patterned_SST5bd49ef6-4c2e-11e1-ab91-00163e9152a5cim.1.shared.DocReferencesea surface temperature changefileVariable1cim.1.software.ConnectionEndpointReference to a componentProperty called sea_surface_temperature in a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferencesea_surface_temperaturecomponentProperty1cim.1.software.ConnectionEndpointUses AMIP-II method of updating SSTTruecim.1.software.CouplingboundaryConditionReference to a dataObject called patterned_SST5bd49ef6-4c2e-11e1-ab91-00163e9152a5cim.1.shared.DocReferencepatterned_SSTdataObject1cim.1.software.CouplingEndpointcim.1.software.SpatialRegriddingconservativeReference to a modelComponent called Atmosphere7bbe5cc2-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceAtmospheremodelComponent1cim.1.software.CouplingEndpointcim.1.software.Timing1daysTimeInterpolationcim.1.software.TimeTransformationFile6.7b cloud response to imposed 4xCO2Metafor Questionnairecim.1.shared.ResponsiblePartydocumentAuthor2012-04-23 15:58:33.218071+00:00812b0f12-482a-11e1-bb6f-00163e9152a5MOHCcmip5ACAQUA4XCO2Metafor CMIP5 Questionnairemetafor-qcim.1.activity.SimulationRunSimulationAC2012-04-23 15:58:33.218071+00:002Reference to a modelComponent called HadGEM2-A7a2b64cc-03ca-11e1-a36a-00163e9152a5cim.1.shared.DocReferenceHadGEM2-AmodelComponent1CMIP5Chris Jones
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
chris.d.jones@metoffice.gov.ukChris Jonescim.1.shared.ResponsiblePartyauthorhttp://www.metoffice.gov.uk/research/our-scientists/climate-chemistry-ecosystems/chris.d.jones
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley CentrecentreMark Webb
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, UK, EX1 3PB
mark.webb@metoffice.gov.ukMark Webbcim.1.shared.ResponsiblePartycontact
MOHCcim.1.shared.ResponsiblePartyUK Met Office Hadley Centrefunder
aqua4xCO2P5Ycim.1.shared.ClosedDateRange1978-09-01 00:00:00+00:00Reference to an Experiment called aqua4xCO2 with experimentNumber 6.7bcbb77688-d3a5-11df-837f-00163e9152a5cim.1.shared.DocReferenceaqua4xCO2experiment1