The Assimilation of Envisat data (ASSET) project
نویسندگان
چکیده
1 Data Assimilation Research Centre, University of Reading, Reading, UK 2 Service Aeronomie, Universite Pierre et Marie Curie, Paris, France 3 ECMWF, Reading, UK 4 CNR-IFAC, Florence, Italy 5 University of Köln, Köln, Germany 6 BIRA-IASB, Brussels, Belgium 7 KNMI, De Bilt, The Netherlands 8 Met Office, Exeter, UK 9 Fusion Numerics, Boulder, Colorado, USA 10 CERFACS, Toulouse, France 11 Météo-France, Toulouse, France 12 University of Bologna, Bologna, Italy 13 LMD, Paris, France
منابع مشابه
Improving Asset Ozone Analyses with Multi-sensors Assimilation
Data assimilation has became an useful tool to reanalyse atmospheric fields. The assimilation produces 4dimensional, quality controlled fields that can offer many advantages, compared to sparse observations, in exploring physical phenomena. During the recent Framework 5 Assimilation of Envisat Data (ASSET) project, an intercomparison was made of ozone analyses from several assimilation systems....
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As part of the Danish contribution to MarCoast – the element of GMES (Global Monitoring for Environment and Security) Service Element Project that addresses the marine environment in Europe – DHI & GRAS have developed and are operating an operational forecast system based on numerical modelling. The models are capable of predicting a range of hydrodynamic, biological and wave phenomena up to 5 ...
متن کاملAssimilation of Ers and Envisat Wave Data at Ecmwf
Operational wave data assimilation at ECMWF started with ERS-1 radar altimeter wave heights on 15 August 1993. This had a significant impact on the wave model analysis and forecast. The impact of wave data assimilation based on the ECMWF experience is presented. This includes the impact of assimilation of ERS radar altimeter and synthetic aperture radar and ENVISAT radar altimeter-2 wave data. ...
متن کامل4D-VAR chemical data assimilation of ENVISAT chemical products (BASCOE): validation support issues
RESUME A 4D-VAR chemical data assimilation system, BASCOE, is used to assimilate the chemical observations taken by the three dedicated instruments onboard Envisat. For the first time data assimilation takes active part in the validation of chemical atmospheric observations. Here we present the results of the assimilation of MIPAS NLE products and NRT products. It is shown that the MIPAS constr...
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A four-dimensional variational (4D-var) data assimilation system intended for operational application to stratospheric trace gas observations is being developed. The Kernel of this new system is a novel stratospheric global chemistry circulation model (GCCM) and its adjoint version. The German Weather Service’s global forecast model (GME) with its icosahedral discretisation scheme serves as an ...
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تاریخ انتشار 2008