Data Request Section: 1.6 Scientific objectives (objective)

The objectives defined by each MIP can be used to select data requirements.

• aerChem: AerChemMIP diagnostics
• AerosolIrf: Aerosol Instantaneous Forcing
• AgMIP: VIACSAB: Agriculture
• All: All forcing
• Amo: AMO-related forcing
• Analysis: ice sheet climate analysis
• APECOSM: Apex Predators ECOSystem Model (APECOSM)
• Arctic: VIACSAB: Arctic Region
• Atlantis: VIACSAB: Marine System Management
• Bias: origins of model bias
• BOATS: VIACSAB: Fisheries (upper trophic levels)
• CarbonEvaluation: carbon cycle evaluation
• CarbonFeedbacks: climate-carbon cycle feedbacks
• CarbonProjections: carbon cycle projections and carbon budgets
• Caribbean: VIACSAB: Caribbean region
• climateServices: VIACSAB: Climate Services
• Cloudcoupling: cloud couplings in the climate system
• Cloudevaluation: cloud evaluation diagnostics
• Cloudprocesses: cloud process diagnostics
• CMIP6baseline: Baseline Diagnostices for all experiments
• co2removal: Consequences of Carbon Dioxide Removal
• CSP: Climate Services Partnership (VIACSAB)
• Da: detection and attribution
• DBEM: VIACSAB: Fisheries (species modelling)
• DBPM: VIACSAB: Fisheris (Benthic)
• DiurnalCycle: Diurnal cycle in temperature, precipitation
• downscaling: CORDEX climate change
• Downscaling: ice sheet downscaling
• Dynamics: understand atmospheric dynamics forced by volcanic eruptions
• Erf: Effective Radiative Forcing
• esmval: ESMVal
• Evaluation: model evaluation
• Evaluation: evaluation of climate models for climate states different from the present/recent one
• Evaluation: evaluation against observations
• EwE: VIACSAB: Ocean Ecosphere
• Extra: VIACSAB Miscellaneous
• ExtremeEvents: Extreme events with high impact on society
• Fafmip: Coupled Mode Spread
• FISH-MIP: VIACSAB: Fisheries MIP
• Forcing: climate forcing
• Forcing: ice sheet forcing
• Forcing: estimation of volcanic radiative forcing
• ForcingsFeedbacks: response of Earth System to external forcings
• Forecasts: operational decadal predictions
• Future: future climate change
• GreenhouseGasIrf: Greenhouse Gas Instantaneous Forcing
• Heat: sea ice heat budget
• HeatBudget: atmospheric heat budget
• Hindcasts: decadal hindcasts
• Ipo: IPO-related forcing
• ISI-MIP: VIACSAB: ISI-MIP
• LandClimFeedback: land processes and climate feedback
• LandDiag: diagnosis of systematic biases in land modules
• LargeScale: large scale atmospheric circulation characteristics
• Lulcc: land use and land cover change forcing on climate
• Macroecological: VIACSAB: Macroecological
• Madingley: VIACSAB: General Ecosystem
• Malaria: VIACSAB: Malaria Studies
• mechanims: Mechanisms and case studies
• modelIntercomparison: Model Intercomparison
• Momentum: sea ice momentum budget
• OSMOSE: VIACSAB: Marine Ecosystems (OSMOSE)
• MomentumBudget: atmospheric TEM zonal momentum budget analysis
• NaturalVariability: natural variability of climate system over a millenium
• Ocean: ocean and sea-ice dynamics
• Paleo: evaluation against reconstructions
• PaleoImpacts: impacts on paleoclimate recording systems
• Paleorcms: past climate changes at regional scale
• POEM: VIACSAB: Ocean Ecosystem Modelling with POEM
• PolarAmp: Polar Amplification
• Predictability: predictability of regional climate response to volcanic forcing
• ProcessStudies: High frequency diagnostics to understand model performance
• RapidAdjustment: Quantifying adjustments
• Salt: sea ice salt budget
• ScenarioBaseline: Baseline Diagnostices for ScenarioMIP experiments
• SEAPODYM: VIACSAB: Ecosystem Dynamics
• Sensitivity: climate sensitivity due to ice sheets
• Sensitivity: climate sensitivity to volcanic forcing
• SICCME: VIACSAB: Strategic Initiative on Climate Change Impacts on Marine Ecosystems (SICCME)
• SmallScale: small scale weather phenomena
• SMHI-FoUo: VIACSAB: SMHI-FoUo
• State: ice sheet state
• State: sea ice state
• Thermal: Thermal effects of TIP
• Tip: Tibetan-Iranian plateau
• Topo: Topographic effects except for the TIP
• TropicalCyclones: Tropical cyclone performance
• Variability: atmospheric variability across scales
• Variability: understand how volcanic forcing influence climate variability through response of the coupled ocean-atmosphere
• Volcanoes: effects of volcanoes on decadal predictions