Sentences with phrase «seasonal prediction system»

The Met Office seasonal prediction system: GloSea5 seasonal forecasting system uses a member of this model family.

Not exact matches

By working on the still - not - fully - cracked nut of estimating changes in hurricane frequency and intensity in a warming climate, Gabe and his colleagues ended up with a modeling system with seasonal skill in regional hurricane prediction.

Palmer, T.N., et al., 2004: Development of a European multimodel ensemble system for seasonal to interannual prediction (DEMETER).

The NEMO model provides the dynamic ocean model used in the ensemble prediction system and the seasonal forecast system (S4).

Further, just as seasonal - to - interannual predictions start from an estimate of the state of the climate system, there is a growing realization that decadal and longer - term climate predictions could be initialized with estimates of the current observed state of the atmosphere, oceans, cryosphere, and land surface.

Prediction systems have evolved from seasonal to decadal forecasting.

This study assesses the ability of the Canadian Seasonal to Interannual Prediction System (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the CanadianSeasonal to Interannual Prediction System (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian sSystem (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian ssystem Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadianseasonal to multi-decadal timescales, with a focus on the Canadian sector.

During 2015 our decadal prediction system was upgraded to use the latest high resolution version of our coupled climate model, consistent with our seasonal forecasts.

McLaren et al. (Met Office Hadley Centre); 5.5 Million Square Kilometers; Modeling Prediction is based on an experimental model prediction from the Met Office Hadley Centre seasonal forecasting system (GloSea4) that became operational in SeptePrediction is based on an experimental model prediction from the Met Office Hadley Centre seasonal forecasting system (GloSea4) that became operational in Septeprediction from the Met Office Hadley Centre seasonal forecasting system (GloSea4) that became operational in September 2009.

Sugiura N., T. Awaji, S. Masuda, T. Mochizuki, T. Toyoda, T. Miyama, H. Igarashi, Y. Ishikawa, 2008: Development of a four - dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations.

CanCM4 is the latest component of the Canadian Seasonal to Inter-annual Prediction System (CanSIPS), which is a multi-seasonal climate prediction system developed particularly for Canada but applicablePrediction System (CanSIPS), which is a multi-seasonal climate prediction system developed particularly for Canada but applicable gloSystem (CanSIPS), which is a multi-seasonal climate prediction system developed particularly for Canada but applicableprediction system developed particularly for Canada but applicable glosystem developed particularly for Canada but applicable globally.

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

Recent improvements in forecast skill of the climate system by dynamical climate models could lead to improvements in seasonal streamflow predictions.

This study evaluates the hydrologic prediction skill of a dynamical climate model - driven hydrologic prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System prediction skill of a dynamical climate model - driven hydrologic prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System (Cansystem (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System Prediction System (CanSystem (CanSIPS).

This new prediction system shows the multi-year predictive skills of drought and wildfire conditions beyond the typical timescale of seasonal climate forecast models.

Models include the Geophysical Fluid Dynamics Laboratory (GFDL) model, the National Aeronautics and Space Administration (NASA) Seasonal to Interannual Prediction Program (NSIPP) model, the National Center for Atmospheric Research Community Atmosphere Model (CAM3), the Canadian Centre for Climate Modelling and Analysis (CCCma) model, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (HadAM3).

This has proven very effective for seasonal to interannual prediction, especially given the need for very large sets of simulations to assess the skill of a prediction system.

McLaren et al. (Met Office Hadley Centre); 5.5 Million Square Kilometers; Modeling Prediction is based on an experimental model prediction from the Met Office Hadley Centre seasonal forecasting system Prediction is based on an experimental model prediction from the Met Office Hadley Centre seasonal forecasting system prediction from the Met Office Hadley Centre seasonal forecasting system (GloSea4).