MRI-AGCM3.2S MRI-AGCM3.2S Model development path Model development path ModelAssembly ModelAssembly Assembled from components mostly developed in your institution Tuning Section Tuning Section OtherModelTuning? OtherModelTuning? tuned based on tropical cyclone intensity AdjustedParameters AdjustedParameters Conversion rates from cloud water/ice to rain/snow Entrainment parameters TemporalVariabilityMetrics TemporalVariabilityMetrics None MeanStateRegionalMetrics MeanStateRegionalMetrics Monsoons Other: please specify ObservedTrendsMetrics ObservedTrendsMetrics None MeanStateGlobalMetrics MeanStateGlobalMetrics Other: please specify Conservation of integral quantities Conservation of integral quantities FluxCorrectionUsed FluxCorrectionUsed No SpecificTuning SpecificTuning - IntegralConservation IntegralConservation Fresh water Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI 2009 Mizuta_2012 https://www.jstage.jst.go.jp/article/jmsj/90A/0/90A_2012-A12/_pdf Mizuta, R., H. Yoshimura, H. Murakami, M.Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M.Sugi, S. Yukimoto, S. Kusunoki, A. Kitoh (2012). "Climate Simulations Using MRI-AGCM3.2 with 20-km Grid", J. Meteor. Soc. Japan, 90A, 233-258. Atmosphere Atmosphere Atmos Key Properties atmos key properties Top Of Atmos Insolation Top Of Atmos Insolation ImpactOnOzone ImpactOnOzone no SolarConstant SolarConstant Value Value 1365 Type Type fixed OrbitalParameters OrbitalParameters ReferenceDate ReferenceDate N/A Type Type fixed ModelFamily ModelFamily AGCM BasicApproximations BasicApproximations hydrostatic primitive equations VolcanoesImplementation VolcanoesImplementation none Orography Orography OrographyType OrographyType present-day Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI 2009 Mizuta_2012 https://www.jstage.jst.go.jp/article/jmsj/90A/0/90A_2012-A12/_pdf Mizuta, R., H. Yoshimura, H. Murakami, M.Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M.Sugi, S. Yukimoto, S. Kusunoki, A. Kitoh (2012). "Climate Simulations Using MRI-AGCM3.2 with 20-km Grid", J. Meteor. Soc. Japan, 90A, 233-258. Atmos Convect Turbul Cloud AtmosConvectTurbulCloud JMA (2007) and Kawai (2005) ; JMA (2007) is modified as followings : cloud liquid water -> precipitation:　Sundqvist (1978) cloud ice -> precipitation: Kawai (2005) cloud ice fallout: Kawai (2005) evaporation of precipitation: Tiedtke (1993) JMA, 2007: Outline of the operational numerical weather prediction at the Japan Meteorological Agency. Japan Meteorological Agency, 196 pp. Kawai, H., 2005: Improvement of a Cloud Ice Fall Scheme in GCM. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling/WMO, 35, 0411-0412. Sundqvist, H., 1978: A parameterization scheme for non-convective condensation including prediction of cloud water content. Q. J. R. Meteorol. Soc., 104, 677-690. Tiedtke, M., 1993: Representation of Clouds in Large-Scale Models. Mon. Wea. Rev., 121, 3040-3061. BoundaryLayerTurbulence BoundaryLayerTurbulence ClosureOrder ClosureOrder 2 SchemeName SchemeName Mellor-Yamada SchemeType SchemeType TKE diagnostic CounterGradient CounterGradient no DeepConvection DeepConvection SchemeMethod SchemeMethod CAPE SchemeName SchemeName Yoshimura SchemeType SchemeType mass-flux Processes Processes convective momentum transport (CMT) detrainment entrainment penetrative convection radiative effects of anvils updrafts and downdrafts ShallowConvection ShallowConvection Method Method same as deep (unified) OtherConvection OtherConvection SchemeName SchemeName none LargeScalePrecipitation LargeScalePrecipitation SchemeName SchemeName Tiedtke (1993) PrecipitatingHydrometeors PrecipitatingHydrometeors liquid rain snow Microphysics Microphysics SchemeName SchemeName JMA (2007) and Kawai (2005) (see below) Processes Processes cloud droplets effect of raindrops effect of snow Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Atmos Cloud Scheme Atmos Cloud Scheme Cloud Scheme Attributes / Cloud Overlap : other means maximum-random for LW, random for SW. CloudSchemeAttributes CloudSchemeAttributes SeparatedCloudTreatment SeparatedCloudTreatment yes CloudOverlap CloudOverlap other Processes Processes - SubGridScaleWaterDistribution SubGridScaleWaterDistribution Type Type prognostic FunctionName FunctionName uniform FunctionOrder FunctionOrder 2 CouplingWithConvection CouplingWithConvection coupled with deep and shallow Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 58b7b692-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:40.722558 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 58b5ee7a-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:40.722660 Atmos Dynamical Core Atmos Dynamical Core Time Stepping Framework / Scheme Type : semi-implicit semi-Lagrangian Horizontal Diffusion / Scheme Method : bi-harmonic diffusion Prognostic Variables : vapour, cloud water (liquid+solid) ListOfPrognosticVariables ListOfPrognosticVariables clouds surface pressure temperature total water wind components TopBoundaryCondition TopBoundaryCondition sponge layer HeatTreatmentAtTop HeatTreatmentAtTop 0.01hPa WindTreatmentAtTop WindTreatmentAtTop 0.01hPa LateralBoundaryCondition LateralBoundaryCondition none TimeSteppingFramework TimeSteppingFramework SchemeType SchemeType other TimeStep TimeStep 600 sec HorizontalDiscretization HorizontalDiscretization SchemeOrder SchemeOrder - SchemeType SchemeType spectral PoleSingularityTreatment PoleSingularityTreatment none HorizontalDiffusion HorizontalDiffusion SchemeName SchemeName bi-harmonic diffusion SchemeMethod SchemeMethod other Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Atmos Advection Atmos Advection - Tracers / SchemeName : vertically conservative semi-Lagrangian scheme ( Yoshimura (in preparation) , Yoshimura and Matsumura (2003,2005) and Yukimoto et al. (2011) ) - Momentum / Scheme Name: vertically conservative semi-Lagrangian scheme - Momentum / Scheme Characteristics : 5th order in horizontal, 3rd order in vertical Tracers Tracers SchemeName SchemeName other SchemeCharacteristics SchemeCharacteristics semi-Lagrangian ConservedQuantities ConservedQuantities total mass, water vapour and cloud water ConservationMethod ConservationMethod conservation fixer Momentum Momentum SchemeName SchemeName other SchemeCharacteristics SchemeCharacteristics other ConservedQuantities ConservedQuantities none Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 580f92a0-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:40.916823 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 580ba848-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:40.916888 Atmos Orography And Waves Atmos Orography And Waves General Attributes / sponge layer : Rayleigh Friction is also used. SpongeLayer SpongeLayer other 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 Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 599a2388-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.029343 Atmos Radiation Atmos Radiation TimeStep TimeStep 1 hour for SW and 3 hours for LW AerosolTypes AerosolTypes BC (black carbon / soot) dust organic sea salt sulphate GHG-Types GHG-Types CFC CH4 CO2 H2O N2O O3 Longwave Longwave SchemeType SchemeType wide-band model SchemeMethod SchemeMethod layer interaction NumberOfSpectralIntervals NumberOfSpectralIntervals 9 Shortwave Shortwave SchemeType SchemeType wide-band model NumberOfSpectralIntervals NumberOfSpectralIntervals 22 CloudRadiativeProperties CloudRadiativeProperties ice ice Ebert and Curry (1992) liquid liquid Hu and Stamnes(1993) for LW, Slingo (1989) for SW Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 588bc8a2-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.110137 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 57c701d4-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.110248 Land Surface Land Surface Land Surface Key Properties Land Surface Key Properties ConservationOfProperties / WaterTreatment: This model is AGCM, so the river runoff is removed from the system. BasicApproximations BasicApproximations big leaf, 2-layer vegetation Genealogy Genealogy SiB CouplingWithAtmosphere CouplingWithAtmosphere implicit LandCoverTypes LandCoverTypes bare soil ice vegetated ListOfPrognosticVariables ListOfPrognosticVariables canopy heat content canopy skin temperature canopy water content other snow albedo snow density snow layer thickness snow mass soil heat content soil moisture surface skin temperature ConservationOfProperties ConservationOfProperties WaterTreatment WaterTreatment other TimeSteppingFramework TimeSteppingFramework Method Method use Atmosphere time step Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI 2007 Land Surface Albedo Land Surface Albedo SpecificTiling SpecificTiling no SnowFreeAlbedo SnowFreeAlbedo Type Type prescribed SnowAlbedo SnowAlbedo FunctionOf FunctionOf Snow age Snow density Type Type prognostic Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5dbaedda-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.301282 Land Surface Carbon Cycle Land Surface Carbon Cycle Soil Soil Method Method heterotrophic respiration NumberOfCarbonPools NumberOfCarbonPools 4 ListOfCarbonPools ListOfCarbonPools above-ground litter pool, below-ground litter pool, intermidiate soil organic matter pool, and slow soil organic matter pool Permafrost Permafrost ListOfGases ListOfGases none Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Vegetation Carbon Cycle Vegetation Carbon Cycle NumberOfCarbonPools NumberOfCarbonPools 4 ListOfCarbonPools ListOfCarbonPools leaf, sapwood, heartwood, and root Photosynthesis Photosynthesis Method Method biochemical approach AutotrophicRespiration AutotrophicRespiration MaintenanceRespiration MaintenanceRespiration leaves + stems and roots (leafy + woody) Method Method parametrized Allocation Allocation AllocationBins AllocationBins leaves + stems and roots (leafy + woody) AllocationFractions AllocationFractions function of plant allometry Phenology Phenology Method Method parametrized Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5ddbac32-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.417415 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5dd990dc-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.417480 Land Surface Energy Balance Land Surface Energy Balance SpecificTiling SpecificTiling no NumberOfSurfaceTemperatures NumberOfSurfaceTemperatures 3 (canopy_temperature, grass_and_bare_ground_temperature and T2m) SchemeMethod SchemeMethod TypeOfEvaporationFormulation TypeOfEvaporationFormulation combined Processes Processes transpiration Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5d8ed970-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.465583 Land Surface Snow Land Surface Snow SpecificTiling SpecificTiling no NumberOfSnowLayers NumberOfSnowLayers 4(It depends on the SWE.) SchemeMethod SchemeMethod SnowAlbedo SnowAlbedo prognostic SnowDensity SnowDensity prognostic SnowWaterEquivalent SnowWaterEquivalent prognostic SnowHeatContent SnowHeatContent prognostic SnowTemperature SnowTemperature diagnostic SnowLiquidWaterContent SnowLiquidWaterContent prognostic SnowCoverFractions SnowCoverFractions ground snow fraction vegetation snow fraction Processes Processes snow interception snow melting snow refreezing Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5d41621c-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.559324 Land Surface Soil Land Surface Soil SoilMap SoilMap Texture Texture It depends on the vegetation type(SiB). Structure Structure It depends on the vegetation type(SiB). Albedo Albedo It depends on the vegetation type(SiB). WaterTable WaterTable It depends on the vegetation type(SiB). Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Land Surf Soil Heat Treatment Land Surf Soil Heat Treatment SoilHeatTreatmentAttributes SoilHeatTreatmentAttributes SpecificTiling SpecificTiling no NumberOfGroundHeatLayers NumberOfGroundHeatLayers 4 Method Method HeatStorage HeatStorage Explicit diffusion Processes Processes soil moisture freeze-thaw Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5d1b5144-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.637581 Land Surf Soil Hydrology Land Surf Soil Hydrology SoilHydrologyAttributes SoilHydrologyAttributes SpecificTiling SpecificTiling no NumberOfGroundWaterLayers NumberOfGroundWaterLayers 3 WaterStorageMethod WaterStorageMethod Explicit diffusion SoilMoistureFreezing SoilMoistureFreezing NumberOfGroundIceLayers NumberOfGroundIceLayers 3 IceStorageMethod IceStorageMethod If the temperature is lower than the freezing point, the phase change occurs. Permafrost Permafrost specific treatment Runoff-Drainage Runoff-Drainage Processes Processes deep drainage saturated surface runoff Method Method differentiated drainage and runoff Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5ce3ad8e-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.712958 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5ce1cfb4-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.713026 Land Surface Vegetation Land Surface Vegetation VegetationTypes VegetationTypes broadleaf tree C3 grass needleleaf tree SpecificTiling SpecificTiling no VegetationRepresentation VegetationRepresentation vegetation types VegetationTimeVariation VegetationTimeVariation fixed (not varying) Interception Interception yes SchemeMethod SchemeMethod Phenology Phenology diagnostic (vegetation map) LAI LAI prescribed StomatalResistanceFunctionOf StomatalResistanceFunctionOf light water availability Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI MRI 1-1, Nagamine, Tsukuba, Ibaraki, 305-0052, Japan http://www.mri-jma.go.jp/Welcome.html MRI Japanese Meteorological Institute MRI metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5d6350ca-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.824396 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk DRS_CMIP5_componentType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 5ca1eaf2-ca5d-11e1-b570-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.824530 metafor http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk 562ac82e-ca5d-11e1-b570-00163e9152a5 2 Metafor Questionnaire 2012-07-13T10:35:41.824658 Japanese Meteorological Institute MRI Japanese Meteorological Institute MRI Ministry of Education, Culture, Sports, Science and Technology, Japan 3-2-2 Kasumigaseki, Chiyoda-ku, Tokyo 100-8959, Japan http://www.mext.go.jp/english/ MEXT Japanese Meteorological Institute MRI project http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk SNA_rcp45 Superhighres_Nearfuture_AGCM d5b6bae0-d3a5-11df-837f-00163e9152a5 sst2030 experiment 1 Reference to an Experiment called sst2030 with experimentNumber 2.1 MRI initial condition is from the same configuration run for 2025. d5b6bae0-d3a5-11df-837f-00163e9152a5 ic.001 NumericalRequirement 1 Reference to a NumericalRequirement called ic.001 in a experiment called 2.1 sst2030 d5b6bae0-d3a5-11df-837f-00163e9152a5 stc.023 NumericalRequirement 1 Reference to a NumericalRequirement called stc.023 in a experiment called 2.1 sst2030 the same land use as AMIP run (SPA) d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.033 NumericalRequirement 1 Reference to a NumericalRequirement called bc.033 in a experiment called 2.1 sst2030 d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.028 NumericalRequirement 1 Reference to a NumericalRequirement called bc.028 in a experiment called 2.1 sst2030 d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.027 NumericalRequirement 1 Reference to a NumericalRequirement called bc.027 in a experiment called 2.1 sst2030 d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.026 NumericalRequirement 1 Reference to a NumericalRequirement called bc.026 in a experiment called 2.1 sst2030 d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.025 NumericalRequirement 1 Reference to a NumericalRequirement called bc.025 in a experiment called 2.1 sst2030 based on difference between 2015-2039 of rcp45_01 and 1979-2003 of historical_01 of MRI-CGCM3, using a method by Mizuta et al. (2008). d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.063a NumericalRequirement 1 Reference to a NumericalRequirement called bc.063a in a experiment called 2.1 sst2030 based on difference between 2015-2039 of rcp45_01 and 1979-2003 of historical_01 of MRI-CGCM3, using a method by Mizuta et al. (2008). d5b6bae0-d3a5-11df-837f-00163e9152a5 bc.062a NumericalRequirement 1 Reference to a NumericalRequirement called bc.062a in a experiment called 2.1 sst2030 The resources(deployment) on which this simulation ran 0f9dea7e-c596-11e1-b3bf-00163e9152a5 Earth Simulator 2 platform 1 Reference to a platform called Earth Simulator 2 2036-01-01T00:00:00Z 2026-01-01T00:00:00Z 562ac82e-ca5d-11e1-b570-00163e9152a5 MRI-AGCM3.2S modelComponent 2 Reference to a modelComponent called MRI-AGCM3.2S 42946bae-cbec-11e1-9c85-00163e9152a5 1 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 2012-07-13T10:35:41.907498 2030 time-slice. Explore the degree to which future climate states depend on the initial climate state. sst2030 2030 time-slice Simulation of a future decade covering the years 2026-2035, with prescribed SSTs and sea ice concentration anomalies (relative to expt. 3.3). 2.1 ic.001 2.1.ic A description of initial condition for the control run 2.1.bc.rcp45_wmg Imposed changing concentrations or emissions of RCP4.5 well mixed gases including CO2 bc.025 2.1.bc.rcp45_wmg_conc Concentrations bc.029 2.1.bc.rcp45_wmg_em Emissions 2.1.bc.rcp45_sls Imposed changing concentrations or emissions of RCP4.5 short lived gas species bc.026 2.1.bc.rcp45_sls_conc Concentrations bc.030 2.1.bc.rcp45_sls_em Emissions 2.1.bc.rcp45_aer Imposed changing concentrations or emissions of RCP4.5 aerosols bc.027 2.1.bc.rcp45_aer_conc Concentrations bc.031 2.1.bc.rcp45_aer_em Emissions bc.028 2.1.bc.rcp45_aer_pre Imposed changing concentrations or emissions of RCP4.5 aerosol precursors bc.028 2.1.bc.rcp45_aer_pre_conc Concentrations bc.032 2.1.bc.rcp45_aer_pre_em Emissions bc.033 2.1.bc.rcp45_LU Imposed changing RCP4.5 land use stc.023 2.1.stc.2026_10yr Begin in 2026 and run for 10 years P10Y 2036-01-01T00:00:00Z 2026-01-01T00:00:00Z " 2.1.bc.sst Prescribed SST anomolies (relative to exp 3.3) based on either (a) climatology difference between years 2026-2035 (from expt 4.1) and years 1979-2008 (from expt 3.2), OR (b) climatology difference between years 2026-2035 (from expt 1.2) and years 1979-2008 (from expt 1.1) bc.062a 2.1.bc.ssta a) SST anom from expts 4.1 and 3.2 bc.062b 2.1.bc.sstb b)SST anom from expts 1.2 and 1.1 " 2.1.bc.sst Prescribed Sea Ice concentration anomolies (relative to exp 3.3) based on either (a) climatology difference between years 2026-2035 (from expt 4.1) and years 1979-2008 (from expt 3.2), OR (b) climatology difference between years 2026-2035 (from expt 1.2) and years 1979-2008 (from expt 1.1) bc.063a 2.1.bc.ssta a)Sea Ice anom from expts 4.1 and 3.2 bc.063b 2.1.bc.sstb b)Sea Ice anom from expts 1.2 and 1.1 d5b6bae0-d3a5-11df-837f-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.938219 Earth Simulator 2_Other Machine Earth Simulator 2 and compiler Other Japanese Meteorological Institute MRI Earth Simulator 2 Vector 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 1280 1 machineProcessorType http://proj.badc.rl.ac.uk/svn/metafor/cmip5q/trunk Other FORTRAN90/SX Rev.403 0f9dea7e-c596-11e1-b3bf-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:41.938422 TL959L64 TL959L64 Gaussian Grid (1920x960) -90 90 0 360 959 SpectralTruncatureNumber 0.01hPa TopModelLevel about 11 ( It depends on surface pressure) NumberOfLevelsBelow850hPa about 33 ( It depends on surface pressure) NumberOfLevelsAbove200hPa 64 NumberOfLevels p = A(k)+B(k)*Psfc (A=0 below 930hPa, B=0 above 50hPa) Hybridization TL959 e18f07ba-cafb-11e1-b96f-00163e9152a5 1 Metafor Questionnaire 2012-07-13T10:35:42.103938