INM-CM4 inmcm4 Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 2009 Volodin_etal_2010 http://83.149.207.89/GCM_DATA_PLOTTING/documents/PhysAtm4_10VolodinLO.pdf Volodin, E.M., N.A. Diansky, and A.V. Gusev (2010). "Simulating Present-Day Climate with the INMCM4.0 Coupled Model of the Atmospheric and Oceanic General Circulations". Izvestia, Atmospheric and Oceanic Physics, 46, 414-431 Atmosphere INMAM4 Atmos Key Properties INMAM4 Top Of Atmos Insolation INMAM4 ImpactOnOzone ImpactOnOzone yes SolarConstant SolarConstant Type Type transient Characteristics Characteristics recommended for CMIP5 OrbitalParameters OrbitalParameters Type Type fixed ComputationMethod ComputationMethod Berger 1978 ReferenceDate ReferenceDate Obligatory=23.441, Eccentricity=0.016715, Perihelium=102.7 ModelFamily ModelFamily AGCM BasicApproximations BasicApproximations hydrostatic VolcanoesImplementation VolcanoesImplementation via stratospheric aerosols optical thickness VolcanoesImplementationMethod VolcanoesImplementationMethod Optical thickness scenario dependent on latitude and month was recommended for CMIP3 Orography Orography OrographyType OrographyType present-day Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 2009 Atmos Convect Turbul Cloud INMAM4 Deep and shallow convection is Betts_1986. Details of PBL turbulence and large scale condensation can be found in Alekseev_1998. BoundaryLayerTurbulence BoundaryLayerTurbulence SchemeName SchemeName other SchemeType SchemeType vertical profile of Kz CounterGradient CounterGradient no DeepConvection DeepConvection SchemeName SchemeName Betts_1986 SchemeType SchemeType adjustment Processes Processes vertical momentum transport ShallowConvection ShallowConvection Method Method same as deep (unified) OtherConvection OtherConvection SchemeName SchemeName no LargeScalePrecipitation LargeScalePrecipitation SchemeName SchemeName see Alekseev_1998 PrecipitatingHydrometeors PrecipitatingHydrometeors liquid rain snow Microphysics Microphysics SchemeName SchemeName see Alekseev_1998 Processes Processes cloud droplets cloud ice Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Betts_1986 Betts, A.K (1986). "A new convective adjustment scheme. Part I. Observational and theoretical basis". Quart. J. Roy. Met. Soc, 112, 677-691. Atmos Cloud Scheme INMAM4 Cloud amount is calculated diagnostically using relative humidity, temperature and vertical temperature gradient. Cloud overlap is maximum within each of 3 cloud layers (high, medium, low), but overlap of clouds between 3 cloud layers is random. Details can be found in Alekssev_1998. Present cloud amount calculation is slightly different from Alekseev_1998, but basic order remains the same. CloudSchemeAttributes CloudSchemeAttributes SeparatedCloudTreatment SeparatedCloudTreatment no CloudOverlap CloudOverlap other Processes Processes Cloud amount is calculated using relative humidity and DT/Dz SubGridScaleWaterDistribution SubGridScaleWaterDistribution FunctionName FunctionName no explicit subgridscale water distribution FunctionOrder FunctionOrder no explicit subgridscale water distribution Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 22402e9e-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:52.729000 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 223e1456-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:52.729092 Atmos Dynamical Core INMAM4 ListOfPrognosticVariables ListOfPrognosticVariables surface pressure temperature total water wind components TopBoundaryCondition TopBoundaryCondition radiation boundary condition HeatTreatmentAtTop HeatTreatmentAtTop zero heat flux at the upper boundary WindTreatmentAtTop WindTreatmentAtTop zero momentum flux at the upper boundary LateralBoundaryCondition LateralBoundaryCondition none TimeSteppingFramework TimeSteppingFramework SchemeType SchemeType semi-Implicit TimeStep TimeStep 5 minutes HorizontalDiscretization HorizontalDiscretization SchemeType SchemeType fixed grid PoleSingularityTreatment PoleSingularityTreatment filter SchemeMethod SchemeMethod finite differences SchemeOrder SchemeOrder second order in space and time HorizontalDiffusion HorizontalDiffusion SchemeName SchemeName Laplas **4 for U, V, T, Q SchemeMethod SchemeMethod iterated Laplacian Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Atmos Advection INMAM4 Spatial difference scheme for U, V, T is constructed according to Arakawa_1977 Tracers Tracers SchemeName SchemeName other SchemeCharacteristics SchemeCharacteristics Eulerian mass-conserving ConservedQuantities ConservedQuantities Mean humidity and heat is conserved ConservationMethod ConservationMethod other Momentum Momentum SchemeName SchemeName other SchemeCharacteristics SchemeCharacteristics 2nd order staggered grid ConservedQuantities ConservedQuantities no StaggeringType StaggeringType Arakawa C-grid Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Arakawa_1977 Arakawa, A., and V.R. Lamb (1977). "Computational design of the basic dynamical processes of the UCLA general circulation model". In Methods in Computational Physics, 17, J. Chang (ed.), Academic Press, New York, 173-265. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 216f828a-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:52.939498 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 216d6108-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:52.939558 Atmos Orography And Waves INMAM4 Orographic GWD is considered according to Palmer_1986. Non-orographic GWD is included according to Hines_1997. No convective gravity waves. SpongeLayer SpongeLayer none Background Background none SubGridScaleOrography SubGridScaleOrography effect on drag OrographicGravityWaves OrographicGravityWaves SourceMechanisms SourceMechanisms linear mountain waves CalculationMethod CalculationMethod non-linear calculation PropagationScheme PropagationScheme linear theory DissipationScheme DissipationScheme total wave ConvectiveGravityWaves ConvectiveGravityWaves PropagationScheme PropagationScheme other DissipationScheme DissipationScheme other Non-OrographicGravityWaves Non-OrographicGravityWaves SourceMechanisms SourceMechanisms background spectrum CalculationMethod CalculationMethod spatially dependent PropagationScheme PropagationScheme non-linear theory DissipationScheme DissipationScheme spectral Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Hines_1997 Hines, C.O. (1997). "Doppler spread parameterization of gravity wave momentum deposition in the middle atmosphere. Part 1. Basic formulation". J. Atm. Sol. Terr. Physics, 59, 371-386. Palmer_1986 Palmer, T.N., G.J. Shutts, and R. Swinbank (1986). "Alleviation of a systematic westerly bias in general circulation and numerical weather prediction model through an orographic gravity wave drag parameterization". Quart. J. Roy. Met. Soc., 112, 1001-1031. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 22f704ac-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.052515 Atmos Radiation INMAM4 Details of atmospheric radiation see in Alekseev_1998, Galin_1998 In radiation, additional artificial "zero" level appears above the uppermost model level. Therefore, for radiation fluxes we have 23 levels, while in atmospheric dynamics there are 21 levels only. TimeStep TimeStep 3 hours AerosolTypes AerosolTypes sulphate GHG-Types GHG-Types CH4 CO2 H2O N2O O3 Longwave Longwave SchemeType SchemeType wide-band model SchemeMethod SchemeMethod two-stream NumberOfSpectralIntervals NumberOfSpectralIntervals 10 Shortwave Shortwave SchemeType SchemeType wide-band model NumberOfSpectralIntervals NumberOfSpectralIntervals 18 CloudRadiativeProperties CloudRadiativeProperties ice ice Radius=30 mkm liquid liquid Radius=5-13 mkm Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Galin_1998 Galin, V.Ya, (1998). "Parameterization of radiation processes in atmpsoheric model of INM RAS". Izvestia. Atmospheric and Oceanic Physics, 34, 380-389. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 21f3fa6a-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.128645 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 212da446-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.128738 Spatial resolution was increased from 5x4 to 2x1.5 degrees in longitude and latitude. In general, main details are the same. The difference is in some numerical coefficients. INMAM3 Land Ice INMAM4 Land Ice Key Properties INMAM4 Land ice albedo is function of temperature, see Alekseev_1998. LandIceAlbedo LandIceAlbedo prognostic AlbedoFunctionOf AlbedoFunctionOf other Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 1998 Land Ice Sheet INMAM4 see Alekseev_1998 for details MassBalance MassBalance AblationCalculation AblationCalculation Energy balance model DownscalingTechnique DownscalingTechnique no downscaling SnowTreatment SnowTreatment Method Method different from Snow in LandSurface NumberOfSnowLayers NumberOfSnowLayers 1 ListOfPrognosticVariables ListOfPrognosticVariables snow albedo Processes Processes snow melting Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 24bdc6b8-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.236882 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 248aacf6-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.236967 Land Surface INMAM4 Land Surface Key Properties INMAM4 Details of land surface scheme can be seen in Volodin_1998 or Alekseev_1998. Coupling with the atmosphere is done using iterations. BasicApproximations BasicApproximations See Alekseev_1998 Genealogy Genealogy other CouplingWithAtmosphere CouplingWithAtmosphere other LandCoverTypes LandCoverTypes bare soil ice lake vegetated ListOfPrognosticVariables ListOfPrognosticVariables canopy water content snow mass soil ice content soil moisture soil temperature Tiling Tiling common to all LS subcomponents TilingMethod TilingMethod fixed number of types ConservationOfProperties ConservationOfProperties WaterTreatment WaterTreatment All water sent to ocean (Instantly) TimeSteppingFramework TimeSteppingFramework Method Method specific time step TimeStep TimeStep 1 hour Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 1998 Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Volodin_1998 Volodin, E.M., and V.N. Lykossov (1998). "Parameterization of heat and moisture transfer in the soil-vegetation system for use in atmospheric general circulation models. 1. Formulation and simulations based on local observational data". Izvestia. Atmospheric and Oceanic Physics, 34, 453-465. Land Surface Albedo Land Surface Albedo Snow free albedo is prescribes for 4 seasons. Snow albedo is calculated using surface temperature and vegetation type. SpecificTiling SpecificTiling no SnowFreeAlbedo SnowFreeAlbedo Type Type prescribed SnowAlbedo SnowAlbedo Type Type prognostic FunctionOf FunctionOf other vegetation type Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 266ab0a2-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.384923 Land Surface Carbon Cycle Land Surface Carbon Cycle Soil and vegetation carbon are calculated according to LSM1.0 (Bonan_1996). Carbon cycle in INM model is described in Volodin_2007. Soil Soil Method Method heterotrophic respiration NumberOfCarbonPools NumberOfCarbonPools 1 ListOfCarbonPools ListOfCarbonPools one carbon pool Permafrost Permafrost ListOfGases ListOfGases no gases Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Bonan_1996 Bonan, G.B. (1996) "A Land Surface Model (LSM Version 1.0) for Ecological, Hydrological and Atmospheric Studies: Technical Description and User's Guide" NCAR Technical Note, No. 417. Volodin_2007 http://83.149.207.89/GCM_DATA_PLOTTING/documents/iacp266.pdf Volodin, E.M. (2007). "Atmosphere-ocean general circulation model with the carbon cycle". Izvestia, Atmospheric and Oceanic Physics, 43, 266-280. Vegetation Carbon Cycle Vegetation carbon cycle Vegetation carbon cycle is parametrized according to Bonan_1996, but with calculated LAI rather than prescribed. Climate model with carbon cycle is described in Volodin_2007. NumberOfCarbonPools NumberOfCarbonPools 1 ListOfCarbonPools ListOfCarbonPools total carbon amount for each vegetation type calculated. Distribution of total carbon among stems, roots is prescribed Photosynthesis Photosynthesis Method Method light use efficiency approach (LUE) AutotrophicRespiration AutotrophicRespiration Method Method parametrized MaintenanceRespiration MaintenanceRespiration leaves + stems + roots Allocation Allocation AllocationBins AllocationBins whole plant (no distinction) AllocationFractions AllocationFractions function of vegetation type Phenology Phenology Method Method parametrized Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Bonan_1996 Bonan, G.B. (1996) "A Land Surface Model (LSM Version 1.0) for Ecological, Hydrological and Atmospheric Studies: Technical Description and User's Guide" NCAR Technical Note, No. 417. Volodin_2007 http://83.149.207.89/GCM_DATA_PLOTTING/documents/iacp266.pdf Volodin, E.M. (2007). "Atmosphere-ocean general circulation model with the carbon cycle". Izvestia, Atmospheric and Oceanic Physics, 43, 266-280. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2693beb6-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.506638 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2691b2b0-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.506702 Land Surface Energy Balance Land Surface Energy Balance Surface temperature and surface sensible and latent heat flux are calculated for 4 surface land types: bare soil, vegetation, snow cover, inland water. Ther is no subsurface tiling. Evaporation is formulated in terms of relative humidity for bare soil (alpha) and in terms of resistance for vegetation (beta). See details in Alekseev_1998. SpecificTiling SpecificTiling yes NumberOfSurfaceTemperatures NumberOfSurfaceTemperatures 4 SubsurfaceTiling SubsurfaceTiling no SchemeMethod SchemeMethod TypeOfEvaporationFormulation TypeOfEvaporationFormulation combined Processes Processes transpiration Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 264fe1a0-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.557349 Land Surface Lakes Land surface lakes In lakes that are explicitely resolved by oceanic model (1x0.5 degrees in longitude and latitude) 3-dimensional model similar to oceanic model is worked. Unresolved lakes are parameterized as fraction of gridcell covered by very thin water layer (in the case of surface temperature above 0C) CouplingWithRivers CouplingWithRivers no SchemeMethod SchemeMethod IceTreatment IceTreatment yes LakesAlbedo LakesAlbedo diagnostic LakesDynamics LakesDynamics other DynamicLakesExtent DynamicLakesExtent no EndorheicBasins EndorheicBasins no Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 27163fa8-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.604517 Land Surface Snow Land Surface Snow See details in Alekseev_1998 SpecificTiling SpecificTiling no NumberOfSnowLayers NumberOfSnowLayers 3 SchemeMethod SchemeMethod SnowAlbedo SnowAlbedo diagnostic SnowDensity SnowDensity prognostic SnowWaterEquivalent SnowWaterEquivalent prognostic SnowHeatContent SnowHeatContent prognostic SnowTemperature SnowTemperature prognostic SnowCoverFractions SnowCoverFractions ground snow fraction Processes Processes snow melting Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 25eb2f6c-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.695609 Land Surface Soil INMAM4 All soil is divided into 11 types according to percent of sand, clay and organics. Coefficients for thermal and water conductivity, water table, and some other constants are prescribed for 11 soil types, see Alekseev_1998, Volodin_1998. SoilMap SoilMap Texture Texture 11 soil types are prescribed according to percent of sand, clay and organics Structure Structure no explicit structure Albedo Albedo albedo of bare soil is prescribed, as well as vegetation albedo for 4 seasons WaterTable WaterTable water table is prescribed according to 11 soil types Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Volodin_1998 Volodin, E.M., and V.N. Lykossov (1998). "Parameterization of heat and moisture transfer in the soil-vegetation system for use in atmospheric general circulation models. 1. Formulation and simulations based on local observational data". Izvestia. Atmospheric and Oceanic Physics, 34, 453-465. Land Surf Soil Heat Treatment Land Surface Soil Heat Treatment Heat diffusion is considered in snow (3 leyers) and soil (23 layers) includion freezing/melting according to Alekseev_1998, Volodin_1998. SoilHeatTreatmentAttributes SoilHeatTreatmentAttributes SpecificTiling SpecificTiling no NumberOfGroundHeatLayers NumberOfGroundHeatLayers 23 Method Method HeatStorage HeatStorage Explicit diffusion Processes Processes soil moisture freeze-thaw Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Volodin_1998 Volodin, E.M., and V.N. Lykossov (1998). "Parameterization of heat and moisture transfer in the soil-vegetation system for use in atmospheric general circulation models. 1. Formulation and simulations based on local observational data". Izvestia. Atmospheric and Oceanic Physics, 34, 453-465. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 25b89e30-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.790339 Land Surf Soil Hydrology SoilHydrologyAttributes SoilHydrologyAttributes SpecificTiling SpecificTiling yes NumberOfGroundWaterLayers NumberOfGroundWaterLayers 23 WaterStorageMethod WaterStorageMethod Explicit diffusion SoilMoistureFreezing SoilMoistureFreezing NumberOfGroundIceLayers NumberOfGroundIceLayers 23 IceStorageMethod IceStorageMethod ice amount is calculated using data of temperature and heat flux Permafrost Permafrost other Runoff-Drainage Runoff-Drainage Method Method differentiated drainage and runoff Processes Processes deep drainage saturated surface runoff subgrid drainage Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 25782d8c-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.875976 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 257617d6-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.876041 Land Surface Vegetation Land Surface Vegetation Potential vegetation is prescribed (fixed) according to Wilson_1985. Actual vegetation is calculated using potential vegetation, available water in root zone and soil temperature. Details are in Alekseev_1998. SpecificTiling SpecificTiling no VegetationRepresentation VegetationRepresentation vegetation types VegetationTimeVariation VegetationTimeVariation other Interception Interception yes VegetationTypes VegetationTypes broadleaf tree needleleaf tree other SchemeMethod SchemeMethod Phenology Phenology diagnostic (vegetation map) LAI LAI diagnostic Biomass Biomass prognostic BioGeography BioGeography diagnostic StomatalResistanceFunctionOf StomatalResistanceFunctionOf CO2 light temperature water availability Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Alekseev_1998 http://83.149.207.89/GCM_DATA_PLOTTING/documents/modelen.pdf Alekseev, V.A., E.M. Volodin, V.Ya. Galin, V.P. Dymnikov, and V.N. Lykossov (1998). "Modeling of the present-day climate by the atmospheric model of INM RAS DNM GCM. Description of the model version A5421 and results of AMIP2 simulations". INM Report N2086-B98. Available by request from volodin@inm.ras.ru Wilson_1985 Wilson, W.F., and A. Henderson-Sellers (1985). "A global archive of land cover and soils data for use in general circulation climate models". Journal of Climatology, 5, 119-143. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 261134a0-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:53.963307 River Routing River Routing River runoff calculated in river basin gridpoint is summarized and moves to river mouth instantaneousely, where it influences on oceanic dynamics. Evaporation from inland water (subgrid-scale lakes, wetlands, irrigation land) treated as negative river runoff. SpecificTiling SpecificTiling no Resolution Resolution inherited from Land Surface NumberOfReservoirs NumberOfReservoirs 1 ListOfPrognosticVariables ListOfPrognosticVariables water WaterRe-evaporation WaterRe-evaporation irrigation CouplingWithAtmosphere CouplingWithAtmosphere yes DrainageMap DrainageMap present-day QuantitiesExchangedWithAtmosphere QuantitiesExchangedWithAtmosphere water OceanicDischarge OceanicDischarge Type Type direct (large rivers) QuantitiesTransported QuantitiesTransported water Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 26e9dd6e-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.049973 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 254483c4-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.050102 Ocean INMOM4 See details in Volodin_etal_2010, Marchuk_etal_2010. Ocean Key Properties Ocean Key Properties Fortran function for equation of state: C SEA WATER DENSITY DEVIATION FROM 1.02 [GR/CM**3] C AS FUNCTION OF T[C](potential),S[PPT],P[MPa] C By Bryden et al.:"A new approximation of the equation of state for C seawater, suitable for numerical ocean models." C In: J.Geophis.Res.,v.104,No.C1, p.1537-1540, 1999. REAL PRESTOMPA,T,S,P,DENP PARAMETER(PRESTOMPA=1.0E-07) DENP(T,S,P) =-2.00920601E-02 C 1 + ( 5.07043E-04*P-5.43283E-07*P*P) 2 + ( 5.10768E-05-3.69119E-06*P+6.54837E-09*P*P)*T 3 + ( 8.05999E-04-9.34012E-07*P+1.38777E-09*P*P)*S 4 + (-7.40849E-06+5.33243E-08*P-1.01563E-10*P*P)*T*T 5 + (-3.01036E-06+1.75145E-08*P-2.34892E-11*P*P)*T*S 6 + ( 3.32267E-08-3.25887E-10*P+4.98612E-13*P*P)*T*T*T 7 + ( 3.21931E-08-1.65849E-10*P+2.17612E-13*P*P)*T*T*S Time scheme for temperature and salinity is Matsuno scheme: X(n+1*)=X(n)+F(X(n)) X(n+1)=X(n)+F(X(n+1*)) Time scheme for momentun is semiimplicit. See Marchuk_etal_2010 for details. ModelFamily ModelFamily OGCM BasicApproximations BasicApproximations Boussinesq ListOfPrognosticVariables ListOfPrognosticVariables potential temperature salinity SSH U-velocity V-velocity SeaWater SeaWater EquationOfState EquationOfState other FreezingPoint FreezingPoint varying SpecificHeat SpecificHeat fixed FreezingPointComputation FreezingPointComputation TF=-0.0575*S, where TF - freezing point (C), and S - salinity (promille) SpecificHeatValue SpecificHeatValue 4100 J/(kg K) Non-OceanicWater Non-OceanicWater RiverMouthMixing RiverMouthMixing river runoff comes to uppermost model layer without any additional mixing IsolatedSeasMixing IsolatedSeasMixing no Bathymetry Bathymetry BathymetryType BathymetryType fixed ReferenceDate ReferenceDate present-day HorizontalDiscretization HorizontalDiscretization SchemeMethod SchemeMethod finite differences PoleSingularityTreatment PoleSingularityTreatment pole rotation Staggering Staggering Arakawa C-grid TimeSteppingFramework TimeSteppingFramework Tracers Tracers other BarotropicSolver BarotropicSolver other BaroclinicMomentum BaroclinicMomentum Forward-backward TimeStep TimeStep 2 hours for barotropic solver and momentum, 20 minutes for temperature and salinity Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 2009 Marchuk_etal_2010 Marchuk, G.I., V.B. Zalesny, V.I. Agoshkov, A.V. Bagno, A.V. Gusev, N.A. Diansky, S.N. Moshonkin, R.Tamsalu, and E.M. Volodin (2010). "Numerical simulation of large-scale ocean circulation based on multicomponent splitting method". Russian Journal of Numerical Analysis and Mathematical Modeling, 25, 581-609. Volodin_etal_2010 http://83.149.207.89/GCM_DATA_PLOTTING/documents/PhysAtm4_10VolodinLO.pdf Volodin, E.M., N.A. Diansky, and A.V. Gusev (2010). "Simulating Present-Day Climate with the INMCM4.0 Coupled Model of the Atmospheric and Oceanic General Circulations". Izvestia, Atmospheric and Oceanic Physics, 46, 414-431 Ocean Advection Ocean Advection See Marchuk_etal_2010 Momentum Momentum SchemeName SchemeName coordinate spliting scheme SchemeType SchemeType Flux form LateralTracers LateralTracers SchemeType SchemeType Centred 2nd order MonotonicFluxLimiter MonotonicFluxLimiter no VerticalTracers VerticalTracers SchemeType SchemeType Centred 2nd order MonotonicFluxLimiter MonotonicFluxLimiter no Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Marchuk_etal_2010 Marchuk, G.I., V.B. Zalesny, V.I. Agoshkov, A.V. Bagno, A.V. Gusev, N.A. Diansky, S.N. Moshonkin, R.Tamsalu, and E.M. Volodin (2010). "Numerical simulation of large-scale ocean circulation based on multicomponent splitting method". Russian Journal of Numerical Analysis and Mathematical Modeling, 25, 581-609. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 28cdcf50-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.267274 Ocean Boundary Forcing Ocean Boundary Forcing Momentum Momentum BottomFriction BottomFriction non-linear LateralFriction LateralFriction none SurfaceFluxCorrection SurfaceFluxCorrection no Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Ocean Bound Forcing Tracers Ocean Boundary Forcing Tracers SunlightPenetration SunlightPenetration SchemeType SchemeType 2 extinction depths OceanColorDependent OceanColorDependent no SurfaceSalinity SurfaceSalinity FromAtmosphere FromAtmosphere freshwater flux FromSeaIce FromSeaIce freshwater flux FromRiver FromRiver freshwater flux Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 29c689e2-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.358309 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 29c47b52-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.358369 Ocean Lateral Physics Ocean Lateral Physics Isopycnal diffusion with constant coefficient and Laplas**2 at sigma-surfaces are applied for temperature and salinity. Laplas**2 and Laplas**4 at sigma-surfaces with constant coefficients are applied for u, v. Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Ocean Lateral Phys Momentum Ocean Lateral Phys Momentum Laplas**2 at model sigma-surfaces with constant coefficient 8e+13 m4/s as well as Laplas**4 at model sigma-surfaces with constant coefficient 1.2e+27 m8/s are applied for momentum Operator Operator Direction Direction iso-level Order Order other Discretization Discretization second order EddyViscosityCoefficient EddyViscosityCoefficient CoefficientType CoefficientType constant MinimalBackgroundValue MinimalBackgroundValue 8e+13 m4/s, 1.2e+27m8/s CoefficientValue CoefficientValue 8e+13 m4/s, 1.2e+27m8/s Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 28edb0cc-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.433962 Ocean Lateral Phys Tracers Ocean Lateral Phys Tracers Isopycnal diffusion with constant coefficient of 8e+2 m2/s, and Laplas**2 at model sigma-surfaces with constant coefficient of 8e+13m4/s are applied for temperature and salinity. MesoscaleClosure MesoscaleClosure no Operator Operator Direction Direction other Order Order other Discretization Discretization other EddyViscosityCoefficient EddyViscosityCoefficient CoefficientType CoefficientType constant BackgroundValue BackgroundValue 8e+2 m2/s, 8e+13 m4/s CoefficientValue CoefficientValue 8e+2 m2/s, 8e+13 m4/s Eddy-inducedVelocity Eddy-inducedVelocity CoefficientValue CoefficientValue no eddy-induced velocity Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 290c7c82-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.525487 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 28eba48a-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.525562 Ocean Up And Low Boundaries Ocean Up and Low Boundaries No specific treatment of bottom boundary layer, bottom friction only. FreeSurface FreeSurface Type Type linear implicit BottomBoundaryLayer BottomBoundaryLayer Type Type other SillOverflow SillOverflow no specific treatment Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Marchuk_etal_2010 Marchuk, G.I., V.B. Zalesny, V.I. Agoshkov, A.V. Bagno, A.V. Gusev, N.A. Diansky, S.N. Moshonkin, R.Tamsalu, and E.M. Volodin (2010). "Numerical simulation of large-scale ocean circulation based on multicomponent splitting method". Russian Journal of Numerical Analysis and Mathematical Modeling, 25, 581-609. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 29aeaaa2-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.571361 Ocean Vertical Physics Ocean vertical physics See Marchuk_etal_2010. Convection Convection enhanced vertical diffusion Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Marchuk_etal_2010 Marchuk, G.I., V.B. Zalesny, V.I. Agoshkov, A.V. Bagno, A.V. Gusev, N.A. Diansky, S.N. Moshonkin, R.Tamsalu, and E.M. Volodin (2010). "Numerical simulation of large-scale ocean circulation based on multicomponent splitting method". Russian Journal of Numerical Analysis and Mathematical Modeling, 25, 581-609. Ocean Interior Mixing Ocean Interior mixing Tracers Tracers SchemeType SchemeType Richardson number dependent (PP) BackgroundType BackgroundType constant value BackgroundCoefficient BackgroundCoefficient 5e-6 Momentum Momentum SchemeType SchemeType Richardson number dependent (PP) BackgroundType BackgroundType constant value BackgroundCoefficient BackgroundCoefficient 1e-4 Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 29874372-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.664944 Ocean Mixed Layer Ocean Mixed Layer Mixed layer is paramererized by vertical diffusion (Philander-Pakanowsky), but with additional mixing induced by wind waves. Maximum coefficient is 5e-2 m2/s for tracers and momentum. Tracers Tracers SchemeType SchemeType Richardson number dependent (PP) BackgroundCoefficient BackgroundCoefficient 5e-6 m2/s Momentum Momentum SchemeType SchemeType Richardson number dependent (PP) BackgroundValue BackgroundValue 1e-4 m2/s Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 295515be-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.715543 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2952fd2e-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.715609 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 28480816-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.715712 Increase of spatial resolution from 2.5x2L33 to 1x0.5L40; use of generalized spherical coordinates with poles shifted outside ocean rather than geographic shperical coordinates; isopicnal diffusion for temperature and salinity rather than Z-diffusion, Laplas**4 rather than Laplas**2 for u,v INMOM3 Ocean Biogeo Chemistry Ocean biogeochemistry Ocean BioGeoChemistry is very simple and contains advection of total carbon amount by oceanic currents, CO2 exchange at the ocean-atmosphere surface and simple parameterization of biological pump that takes carbon in the uppermost 100m and returns it in near-bottom layers. The strength of biological pump is prescribed and not depends on space and time. See details in Volodin_2007. Ocean Bio Key Properties Ocean Bio Key Properties Ocean Bio Time Step Framework Ocean Bio Time Step Framework There is no explicit biology in the model. Transport of total carbon amount only PassiveTracers PassiveTracers Method Method use Ocean transport time step Biology Biology Method Method use ocean transport time step BasicApproximations BasicApproximations total carbon amount is calculated only, no other biogeochemistry ListOfPrognosticVariables ListOfPrognosticVariables total carbon amount BioGeoTracersDamping BioGeoTracersDamping ListOfTracers ListOfTracers no damping LatMin LatMin 0 LatMax LatMax 0 LonMin LonMin 0 LonMax LonMax 0 UpperLevel UpperLevel 0 LowerLevel LowerLevel 0 Transport Transport Method Method online, same as Ocean Tracers Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 2007 Volodin_2007 http://83.149.207.89/GCM_DATA_PLOTTING/documents/iacp266.pdf Volodin, E.M. (2007). "Atmosphere-ocean general circulation model with the carbon cycle". Izvestia, Atmospheric and Oceanic Physics, 43, 266-280. Ocean Bio Boundary Forcing Ocean Bio Boundary Forcing Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 27972046-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.855062 Ocean Bio Gas Exchange Ocean Boi Gas Exchange Exchange of CO2 is taken into account only. Ocean-atmosphere flux is calculated using bulk-formulae, in the same manner as heat or moisture flux. See details in Volodin_2007. CO2 CO2 Present Present yes SchemeType SchemeType other O2 O2 Present Present no DMS DMS Present Present no N2 N2 Present Present no N2O N2O Present Present no CO CO Present Present no Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Volodin_2007 http://83.149.207.89/GCM_DATA_PLOTTING/documents/iacp266.pdf Volodin, E.M. (2007). "Atmosphere-ocean general circulation model with the carbon cycle". Izvestia, Atmospheric and Oceanic Physics, 43, 266-280. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 27a52d6c-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.937647 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 273defbc-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:54.937739 no Sea Ice Sea Ice See details of ice dynamics and thermodynamics in Iakovlev_2008. Sea Ice Key Properties Sea Ice Key Properties BasicApproximations BasicApproximations elastic-viscous-plastic rheology ListOfPrognosticVariables ListOfPrognosticVariables ice area, ice mass, snow mass, U, V, x-component of stress tensor, y-component of stress tensor, xy-component of stress tensor SeaIceRepresentation SeaIceRepresentation SchemeType SchemeType 2-levels TimeSteppingFramework TimeSteppingFramework Method Method specific time step TimeStep TimeStep 4 min for dynamics, 2 hours for thermodynamics Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM 2009 Iakovlev_2008 Iakovlev, N.G. (2008). "Reproduction of the Large-Scale State of Water and Sea Ice in the Arctic Ocean in 1948-2002: Part I. Numerical Model". Izvestiya, Atmospheric and Oceanic Physics, 45, 357-371. Sea Ice Dynamics Sea Ice Dynamics Advection using MPDATA with upwind finite difference first order scheme (Iakovlev_2008). Rheology Rheology EVP Advection Advection other HorizontalDiscretizationGrid HorizontalDiscretizationGrid Ocean grid Redistribution Redistribution IceStrengthFormulation IceStrengthFormulation no ice strength, the only sea ice cathegory is considered Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Iakovlev_2008 Iakovlev, N.G. (2008). "Reproduction of the Large-Scale State of Water and Sea Ice in the Arctic Ocean in 1948-2002: Part I. Numerical Model". Izvestiya, Atmospheric and Oceanic Physics, 45, 357-371. metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2a5cfe72-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.058055 Sea Ice Thermodynamics Sea Ice Thermodynamics WaterPonds WaterPonds no SurfaceAlbedo SurfaceAlbedo depends on surface temperature NewIceFormation NewIceFormation area change calculates in assumption that new ice thickness is 0.05m Snow Snow HeatDiffusion HeatDiffusion one layer SchemeType SchemeType snow-ice Ice Ice VerticalHeatDiffusion VerticalHeatDiffusion one layer OceanToIceBasalHeatFlux OceanToIceBasalHeatFlux parametrized (calculated in SeaIce) BrineInclusions BrineInclusions thermal properties depending on S-T (fixed salinity) Processes Processes Sea ice lateral melting Surface sublimation TransportInThicknessSpace TransportInThicknessSpace eulerian Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2a3849ce-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.135609 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 2a181488-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.135687 Sea ice dynamics was included INMOM3 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 204e6fe2-ee42-11df-93b1-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.135806 Horizontal resolution in the atmosphere was increased fro 5x4 to 2x1.5 degrees. Resolution in the ocean was increased from 2.5x2 to 1x0.5 degrees. Generalized spherical coordinate with rotated poles rather than usual spherical coordinate was used. Fresh water flux adjustment was removed. Carbon cycle was included. inmcm3.0 Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM Russian Institute for Numerical Mathematics INM project http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk rcp85 rcp85 bb916c82-d3a5-11df-837f-00163e9152a5 rcp85 experiment 1 Reference to an Experiment called rcp85 with experimentNumber 4.2 a819186a-249c-11e0-a74f-00163e9152a5 piControl simulation 4 This simulation is extension of Historical simulation Volodin, E.M. Initial condition is the end of Historical run. bb916c82-d3a5-11df-837f-00163e9152a5 ic.004 NumericalRequirement 1 Reference to a NumericalRequirement called ic.004 in a experiment called 4.2 rcp85 concentration of CO2, CH4, N2O are prescribed from http://cmip-pcmdi.llnl.gov/cmip5/forcing.html?submenuheader=3#concentrations bb916c82-d3a5-11df-837f-00163e9152a5 bc.035 NumericalRequirement 1 Reference to a NumericalRequirement called bc.035 in a experiment called 4.2 rcp85 Ozone time changes are prescribed on the basis of linear interpolation of monthly mean data recommended for CMIP5: http://cmip-pcmdi.llnl.gov/cmip5/forcing.html?submenuheader=3#ozone_forcing bb916c82-d3a5-11df-837f-00163e9152a5 bc.036 NumericalRequirement 1 Reference to a NumericalRequirement called bc.036 in a experiment called 4.2 rcp85 no aerosol precursors bb916c82-d3a5-11df-837f-00163e9152a5 bc.038 NumericalRequirement 1 Reference to a NumericalRequirement called bc.038 in a experiment called 4.2 rcp85 land use changes are not considered bb916c82-d3a5-11df-837f-00163e9152a5 bc.043 NumericalRequirement 1 Reference to a NumericalRequirement called bc.043 in a experiment called 4.2 rcp85 Volcanic aerosols are specified as for the end of Historical run (year 2005) bb916c82-d3a5-11df-837f-00163e9152a5 bc.034 NumericalRequirement 1 Reference to a NumericalRequirement called bc.034 in a experiment called 4.2 rcp85 bb916c82-d3a5-11df-837f-00163e9152a5 stc.030 NumericalRequirement 1 Reference to a NumericalRequirement called stc.030 in a experiment called 4.2 rcp85 Natural aerosols are prescribed as climatology, without time changes, as in piControl. Concentration of antropogenic aerosol was prescribed as lat-lon-month distribution recommended for CMIP3 (scenario A1B). Vertical distribution of antropogenic aerosol is assumed the same as that one for natural aerosol. bb916c82-d3a5-11df-837f-00163e9152a5 bc.037 NumericalRequirement 1 Reference to a NumericalRequirement called bc.037 in a experiment called 4.2 rcp85 The resources(deployment) on which this simulation ran e6bf25ac-ee3f-11df-83ce-00163e9152a5 server1 platform 1 Reference to a platform called server1 2100-12-31T23:59:59Z 2006-01-01T00:00:00Z 204e6fe2-ee42-11df-93b1-00163e9152a5 INM-CM4 modelComponent 1 Reference to a modelComponent called INM-CM4 f8dc687e-27b7-11e0-abec-00163e9152a5 2 QN_DRS The QN_DRS value allows mapping from data files to metadata being exported from the metadata questionnaire, and contains the institution name, the model name on which the simulation was run, the experiment name to which the simulation conforms, the simulation level base rip value, and finally the given start year for the simulation. The format of the string will thus be: institute_model_experiment_rip_startyear. Also note, that in particular cases, i.e. decadal and noVolc exps, the start date and expdate may differ - this will occur in those cases where the simulation start date is 1st january but still refers to an experiment for the year before. - (see cmip5 experiment design document) DRS_CMIP5_ensembleType Metafor Questionnaire 2012-05-28T14:40:55.216985 Provide estimate of future anthropogenic climate change. rcp85 RCP8.5 Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. 4.2 ic.004 4.2.ic Initial conditions are from the end of experiment 3.2_historical 4.2.bc.wmg Imposed changing concentrations or emissions of RCP8.5 well mixed gases, including CO2 bc.035 4.2.bc.wmg_conc Concentrations bc.039 4.2.bc.wmg_em Emissions 4.2.bc.sls Imposed changing concentrations or emissions of RCP8.5 short lived gas species bc.036 4.2.bc.sls_conc Concentrations bc.040 4.2.bc.sls_em Emissions 4.2.bc.aer Imposed changing concentrations or emissions of RCP8.5 aerosols bc.037 4.2.bc.aer_conc Concentrations bc.041 4.2.bc.aer_em Emissions 4.2.bc.aer_pre Imposed changing concentrations or emissions of RCP8.5 aerosol precursors bc.038 4.2.bc.aer_pre_conc Concentrations bc.042 4.2.bc.aer_pre_em Emissions bc.043 4.2.bc.LU Imposed changing RCP8.5 land use stc.030 4.2.stc.2006_94yr Begin in 2006 and run for 94 years P94Y 2100-01-01T00:00:00Z 2006-01-01T00:00:00Z bc.034 4.2.bc.volc_aer_conc Imposed constant background volcanic aerosol bb916c82-d3a5-11df-837f-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.238653 server1_Intel Machine server1 and compiler Intel Russian Institute for Numerical Mathematics INM server1 Parallel machineOperatingSystem http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk machineVendor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk machineInterconnect http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 22 8 machineProcessorType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk Intel 9.0 e6bf25ac-ee3f-11df-83ce-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.238843 Atmospheric grid atmospheric grid Spherical uniform grid with steps equal 2 degrees in longitude and 1.5 degrees in latitude. 21 sigma-levels in vertical. -89.25 89.25 0 360 1 SurfaceReference latitude-longitude 090b8290-ee40-11df-9c49-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.503107 oceanic grid oceanic grid Horizontal grid use grneralized spherical coordinates with ploes shifted outside oceanic domain. Vertical grid is sigma. -90 90 0 360 340 NumberOfCellsInSecondGridDimension 70 FirstPoleLat -70 SecondPoleLat 360 NumberOfCellsInFirstGridDimension 100 SecondPoleLon 100 FirstPoleLon 9 at depth=3000m NumberOfLevelsInUpper100m sigma=0.0010426 UpperLevel sigma=0.9718239 LowerLevel 40 NumberOfLevels 0 SurfaceReference generalized spherical coordinates with poles displaced outside ocean c1778a90-09d9-11e0-ba3b-00163e9152a5 1 Metafor Questionnaire 2012-05-28T14:40:55.638306