Predictions of precipitation extremes have improved since then, on all timescales extending from a few days out to seasons.
Not exact matches
CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar
Prediction Project QPF = Quantitative
precipitation forecast S2S = Subseasonal to Seasonal
Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate
Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal
Prediction WWRP = World Weather Research Programme YOPP = Year
of Polar
Prediction
This report discusses our current understanding
of the mechanisms that link declines in Arctic sea ice cover, loss
of high - latitude snow cover, changes in Arctic - region energy fluxes, atmospheric circulation patterns, and the occurrence
of extreme weather events; possible implications
of more severe loss
of summer Arctic sea ice upon weather patterns at lower latitudes; major gaps in our understanding, and observational and / or modeling efforts that are needed to fill those gaps; and current opportunities and limitations for using Arctic sea ice
predictions to assess the risk
of temperature /
precipitation anomalies and
extreme weather events over northern continents.
We are not aware
of any other study that has documented the impact
of the
precipitation simulation imperfections on GCMs»
predictions of surface air temperature, but the ability
of such flawed models to predict global warming and its
extremes could be compromised.