Dethloff Markus Rex and many others Goals Processlevel coupledsystem understanding to enable weather climate and seaice forecasting models Subgrid parameterizations Process understanding and evaluation ID: 1043624
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1. MOSAiC and ModelingMatthew Shupe, Klaus Dethloff, Markus Rex, and many others
2. GoalsProcess-level, coupled-system understanding to enable weather, climate, and sea-ice forecasting modelsSub-grid parameterizationsProcess understanding and evaluationCoupling and feedbacks ABL, clouds, ice rheology, ocean mixing, BGC processes, fluxesLarge scale context for measurementsInform large-scale linkagesAssimilation and operational dataUnique assimilation assessmentEnhance observing system / satellite products
3. Modeling Pathway1D-SCMProcess UnderstandingValidationEvaluationRegional System UnderstandingProcess, large-eddy, & mesoscale simulationsProjectionsPredictionsDetailed observational foundation3D-RCM3D-GCM
4. Designed for ModelingMulti-scale nodes to represent grid-box heterogeneity and support upscalingOpportunities for input on length scales!
5. Process EvaluationSurface Energy BudgetResponse terms vs. forcing terms as a function of monthDetailed process evaluation over full annual cycle
6. Operational supportPre-drift planning for optimal installReal-time ice drift forecasting > planning, targeted imageryReal-time weather forecasting > operations, planning
7. Process ModelingLES and/or nested mesoscale modelsProcess understanding / fluxesIdealized studiesLink across scalesLES <-> ObsSynergyNested domains link mesoscale to LESSolomon et al.
8. BGC/Eco ModelingUnderstanding effects of melting sea ice on carbon and nutrient cycles and marine ecosystem responsesArctic BGC-E Model SINMOD 3-D chemical & biological model coupled to Arctic Ocean-sea ice model Forced by atmospheric driving data and freshwater input Wassman, Reigstad et al.
9. Regional Model IntercomparisonArctic CORDEXCircum-Arctic domainHoriz. resol. of 0.44° or higherDriven by ERA-Interim13 participating institutesAWIPotsdam, GermanyCCCmaVictoria, CanadaColorado Uni. Boulder, USADMICopenhagen, DenmarkEMUTTrier, GermanyGERICSHamburg, GermanyISUIowa, USALund Uni.Lund, SwedenMGOSt. Petersburg, RussiaSMHINorrkoping, SwedenUNIBergen, NorwayUlgLiège, BelgiumUQAMMontreal, CanadaRinke et al.
10. Experimental Sea-Ice ForecastingRASM-ESRLBased on RASM10km res.Forced by GFSFor MOSAiCDaily 5-14 day forecastsForecast and assessment for full yearSolomon et al.
11. AssimilationExtra Observations(radiosondes)Data assimilationReanalysisw/o extra obsControl ReanalysisGlobal observationsAtmosphericforecastSea-iceforecastAtmosphericforecastSea-iceforecastPredictability of extreme eventsPredictability of sea ice over NSRJAMSTEC ALERA2 Observing system experiments Inoue, Dethloff et al.