'Error growth' diaporamas de présentation

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate)

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate). Jagadish Shukla. Department of Atmospheric, Oceanic and Earth Sciences George Mason University. CLIM 751 Fall 2012 Lecture on Aug 29, 2012. Outline. Weather and Climate for Poets

1.15k views • 75 slides

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate)

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate). Jagadish Shukla. Department of Atmospheric, Oceanic and Earth Sciences George Mason University. CLIM 751 Fall 2012 Lecture on Aug 29, 2012. Outline. Weather and Climate for Poets

1.03k views • 75 slides

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate)

Predictability of Weather and Climate (Seamless Prediction of Weather and Climate). Jagadish Shukla. Department of Atmospheric, Oceanic and Earth Sciences George Mason University. CLIM 751 Fall 2012 Lecture on Aug 29, 2012. Outline. Weather and Climate for Poets

876 views • 75 slides

Dynamical Seasonal Prediction: Model Fidelity vs Predictability

Center of Ocean-Land-Atmosphere studies. Dynamical Seasonal Prediction: Model Fidelity vs Predictability. Jagadish Shukla University Professor, George Mason University (GMU) President, Institute of Global Environment and Society (IGES).

855 views • 69 slides

Data Assimilation in Meteorology and Oceanography

619 views • 61 slides

Sergio Blanes Joint work with Fernando Casas and Ander Murua

629 views • 49 slides

Mesoscale Atmospheric Predictability

543 views • 39 slides

Dynamical Systems, Sequential Estimation, and Estimating Parameters

462 views • 33 slides

Dynamical Systems, Sequential Estimation, and Estimating Parameters

345 views • 33 slides

Ensemble Forecasting and You The very basics

Ensemble Forecasting and You The very basics. Richard H. Grumm National Weather Service State College PA 16803. The big WHY.

460 views • 27 slides

Dr. Ronald M. Errico Goddard Earth Sciences and Technology Center (UMBC)

Pertinent Issues and Open Questions Regarding the Use of Ensembles for Weather Analysis and Prediction. Dr. Ronald M. Errico Goddard Earth Sciences and Technology Center (UMBC) Global Modeling and Assimilation Office (NASA). Outline. 1. Determination of analysis error

245 views • 24 slides

Streamflow Predictability

Streamflow Predictability. Tom Hopson. Conduct Idealized Predictability Experiments. Document relative importance of uncertainties in basin initial conditions and weather and climate forecasts on streamflow Account for how uncertainties depend on type of forcing (e.g. precip vs. T)

366 views • 20 slides

Assessing Predictability with a Local Ensemble Kalman Filter

320 views • 15 slides

Revisit Lorenz 1982 using ECMWF and NCEP EPS

262 views • 14 slides

Quantifying error growth during convective initiation in a mesoscale model

Quantifying error growth during convective initiation in a mesoscale model. Peter Lean 1 Suzanne Gray 1 Peter Clark 2. 2. J.C.M.M. 1. Aims:. Understand error growth mechanisms dominant in first 3hrs of a forecast

202 views • 12 slides