The CMIP6 Data Request specifies the data requirements for the CMIP6 model inter-comparison project. The presentation includes a review of the CMIP5 archive and of the process of exploitation by the IPCC

Juckes, Martin N

Centre for Environmental Data Analysis Digital Repository

The CMIP6 Data Request– with overview of IPCC processMartin JuckesMarch 2018The IPCC process … in briefConcern over rising CO2 Assessing the research literatureDecisions on actionInternational consensusFrom IPCC 5th Assessment ReportClear relation between accumulated CO2 emissions and global temperatureEvidence of impacts on environment and society CMIP and the IPCCCMIP is independent of the IPCC process …But CMIP provides the foundations for the IPCC report on the physical basis of climate change, and modelling groups are strongly motivated by a desire to meet the deadlines for inclusion of results in the current IPCC assessment cycle.CMIP5Volume: 2.3Pb27 Institutions contributing data;100 ExperimentsMajor input to AR5CMIP3: 30TbCMIP5: 2.3PbCMIP6: ~2x1016±0.8 BytesCMIP6 introduces an ambitous new organisational structure to cope with the rapidly expanding scope of climate modelling: 21 different science consortia developing research objectives, experimental designs and data requirements. WCRP mandated that the data requirements should be consolidated ….  Organising dataCMIPPanelWGCM InfrastructurePanelfor the Coupled Model Inter-comparison Project (CMIP)21 endorsed Model Inter-comparison Projects dealing with different science areas.Science objectives and experimental outlines pulished in GMD Data requirements for each MIPConsolidated data request: > 2000 variables, various frequencies, grids, masks and tiles.~30 modelling centres will participate, each supporting one or more of the endorsed MIPs. All centres should complete the “DECK” experiments: historical, control, steady and abrupt CO2 increase.The Endorsed MIP ConstellationAirEnergyWaterMineralDCPP: Decadal  PMIP: PalaeoclimateCORDEX: Downscaling CMIP: core ScenarioMIP: ScenariosGeoMIP: GeoengineeringVIACS AB: Vulnerability etc DAMIP: Detection-AttributionISMIP6: Ice SheetHighResMIP: High ResolutionFAFMIP: Flux AnomaliesCFMIP: Cloud FeedbackRFMIP: Radiative ForcingOMIP: OceanGMMIP: MonsoonsSIMIP: Sea IceDynVar: Dynamic VariabilityAerChemMIP: Aerosols and ChemistryC4MIP: Carbon CycleLS3MIP: Land SurfaceLUMIP: Land UseVolMIP: Volcanoes PeopleLifeSystemData Request: Target UsersData user (outside modelling centres)Data user (in modelling centres)Data provider (technician)Data provider (scientist)Data provider (programme manager)Infrastructure provider (technician)Infrastructure provider (manager)Output Requirements Experiments and time slices Objectives supported Priority of variableVariable Lists Definition of physical quantities; Output specifications.Experiment Specifications Duration of simulation Tier Number of ensemble membersRecommendations for output and analysisCMIP6DataRequestThe Software Architecture ComponentsConsolidated RequestThe request as a structured document.Programming InterfaceA python library, facilitating use of the request by software.Command LineFor flexible accessWeb AccessGreater flexibilityModelling groups will select priority of variables (as for CMIP5); which MIPs to support;  objectives within MIPs; Tiers of experiments; MIPs can specify groups of variables; variables may be given different priorities for different experiments.Variable ListsCMIP5“standard output” spreadsheet: list of variables organised into MIP tables, 1098 CMOR variables, 536 standard namesCMIP6~800 standard names~1000 MIP Variable~2000 CMOR Variables~3500 Request VariablesA “MIP Variable” can be re-used at different frequencies, or with different masking options. A CMOR variable can be re-used at different priorities or in different groups.ScenarioMIPThe 4 Representative Concentration Pathways of CMIP5 are replaced by a matrix of Shared socio-economic pathways. Focussing on processesDecadal Climate Prediction Project (DCPP) … looking at the boundary between forced centennial projections and seasonal forecasts.High Resolution MIP (HighresMIP) … analysing climate change in high resolution models (fig. from H2020 project PRIMAVERA).Advances in the crysopshere: ISMIP6Dynamic, floating, ice frontsDetailed modelling of snowpackVIACSABVulnerability, Impacts, Adaptation and Climate Services Advisory BoardAgricultureTerrestrial EcosystemsMarine EcosystemsHealthFisheriesClimate ServicesThe end ...Variable ListsCMORVariableMIPVariable short name standard name long name description unitsRequestVariable MIP Priority CMOR name description frequency MIP table realm ….Different MIPs may request the same variable with different prioritiese.g. tase.g. tas, Amon,PMIPe.g. tas, AmonA variable may occur in many different guisesStructure cell_methods cell_measures flag_meanings flag_values …... dimensionsUse in python code:from dreqPy import scope sc = scope.dreqQuery()v1 = sc.volByMip( 'C4MIP', pmax=2 )v2 = sc.volByMip( {'C4MIP', 'LUMIP'}, pmax=2 )From the LINUX command line:drq -m C4MIP,LUMIP -p 1 -t 1                →  24.17Tb drq -m HighResMIP -p 1 -t 1                    → 45Tbdrq -m HighResMIP:DiurnalCycle -p 1 -t 1 → 3.95 TbVariable choicesRequests conditional on model configuration.Some variables are only needed for specific configurations/types of models. E.g.  time varying ice sheet state …. only needed for models with dynamic ice sheets; pressure on model levels …. not needed for models with pressure-based vertical coordinates;Ranked variablesWhere there is clear redundancy between variables, e.g. air temperature on 7 pressure levels at 6 hourly intervals vs. the same variable on the same levels at 3 hourly intervals, these can be given a rank and the API will only select the highest ranked variable. A modelling group supporting the HighResMIP request for priority 1 variables should provide the 6 hourly data, but another group going up to priority 2 will only supply the 3 hourly data.Problems ...Preferred gridIf DCPP asks for data on a 100km grid and FAFMIP asks for the same data on the native grid, should both be considered as required?Gaps in the requestOnly one MIP has requested “areacella” (the area of atmospheric grid cells). Should some fields be specified as required metadata? Are there other gaps?CMIP6 NoveltiesNew area types and boundaries: surface under ice sheet grounding lineAdapted from MeteoFrance http://www.cnrm.meteo.fr/surfex/spip.php?rubrique8urban; crop; pasture;secondary+primaryr ; r ; t r ;rri rLUMIP is requesting output on four Land Use tiles which partially align with C4MIP vegetation fractions.Resources*XML request document and documentation;*Python library and documentation;*Repository of document versions;*Persistent identifiers (e.g. w3id.org/cmip6dr/variable/tas  );*Data request handbook (in preparation);*Additional views of the request (excel, html, …);* forum: dreq01.vanillaforums.comIPCC Numbers831 Authors6500 Pages 140000 Review commentsOutput RequestVariableGroup Objective Time slice Experiment groupRequestVariable MIP Prioritye.g. Amon,PMIP,amipRequestLinkRequestItemExperiment SetObjectiveExperimentEnergyWaterAirISMIP6 Ice SheetHighResMIP High ResolutionFAFMIP Flux Anomaly ForcedDCPP Decadal Climate Prediction CFMIP Cloud FeedbackVolMIP Volcanic ForcingsScenarioMIP ScenariosRFMIP Radiative ForcingPMIP PalaeoclimateOMIP OceanEarthGMMIP Global MonsoonsLUMIP Land UseGeoMIP GeoengineeringC4MIP Coupled Climate Carbon CycleLS3MIP Land Surface, Snow and Soil MoistureNatural EcosystemsHumanity AbstractCORDEX: Downscaling inputsVIACS AB Vulnerability, Impacts, .. SIMIP Sea IceDynVar Dynamic VariabilityAerChemMIP: Aerosols and ChemistryDiagnostic MIPsDAMIP Detection and AttributionDECK: control experiments and model evaluation What is the data request?The data request is the composite of the endorsed MIP requests.(1) “DECK” is not an endorsed MIP … (2) The request from each MIP covers the data that they need from the experiments they define, from the DECK + CMIP6 historical, and from experiments defined by other MIPs where it is needed for the analysis they propose.Endorsed MIPs  .. request overviewVolume of data (Tier 1, Priority 1) requested by MIPs in left column from experiments defined by MIPs in top row.Managing duplicate requestsThere is a single consolidated list of CMOR variables. All endorsed MIP requests refer to the same set of variables.The python API will provide a list of required variables for any combination of MIPs

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The CMIP6 Data Request – with overview of IPCC process

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The CMIP6 Data Request – with overview of IPCC process

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