Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect toward the real world

Journal of Advances in Modeling Earth Systems

Volumn 5, Issue 1, 2013, Pages 58-70

  Schirber, Sebastian ^a   Klocke, Daniel ^b   Pincus, Robert ^c   Quaas, Johannes ^d   Anderson, Jeffrey L ^e  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

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

^c UNIVERSITY OF COLORADO   (United States)

^d UNIVERSITY OF LEIPZIG   (Germany)

^e NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

atmospheric general circulation model; data assimilation using Ensemble Kalman techniques; objective parameter estimation

Indexed keywords

EXPERIMENTS;

ATMOSPHERIC GENERAL CIRCULATION MODELS; DATA ASSIMILATION; DATA ASSIMILATION TECHNIQUES; ENSEMBLE KALMAN FILTER; ERROR OF THE MODELS; ESTIMATED PARAMETER; ESTIMATING PARAMETERS; GENERAL CIRCULATION MODEL;

PARAMETER ESTIMATION;

ATMOSPHERIC CONVECTION; ATMOSPHERIC GENERAL CIRCULATION MODEL; CUMULUS; DATA ASSIMILATION; ENSEMBLE FORECASTING; TIMESCALE;

EID: 84876718741     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1029/2012MS000167     Document Type: Article

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