Diagnosing the causes of bias in climate models - why is it so hard?

Geophysical and Astrophysical Fluid Dynamics

Volumn 105, Issue 2-3, 2011, Pages 351-365

  Palmer, T N ^a   Weisheimer, Antje ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

Analysis increments; Model bias; Nonlinear dynamics; Stochastic parametrisations

Indexed keywords

ANALYSIS INCREMENTS; CLIMATIC RESPONSE; DATA ASSIMILATION; ERROR DIAGNOSIS; FLUCTUATION DISSIPATION THEOREM; FORCINGS; INTERNAL MODES; KEYPOINTS; MODEL ERRORS; NONLINEAR DYNAMICS; PHYSICAL PROCESS; STOCHASTIC PARAMETRISATIONS; THREE-COMPONENT MODELS;

DATA PROCESSING; DYNAMICS; MODELS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CLIMATE MODELS;

CLIMATE MODELING; CLIMATE PREDICTION; DATA ASSIMILATION; ESTIMATION METHOD; NONLINEARITY; NUMERICAL MODEL; PARAMETERIZATION; SAMPLING BIAS; STOCHASTICITY; WEATHER FORECASTING;

EID: 79952971243     PISSN: 03091929     EISSN: 10290419     Source Type: Journal    
DOI: 10.1080/03091929.2010.547194     Document Type: Article

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