Assimilation of GOME total-ozone satellite observations in a three-dimensional tracer-transport model

被引:96
作者
Eskes, HJ [1 ]
Van Velthoven, PFJ [1 ]
Valks, PJM [1 ]
Kelder, HM [1 ]
机构
[1] Royal Netherlands Meteorol Inst, NL-3730 AE De Bilt, Netherlands
关键词
Kalman filter; TM3;
D O I
10.1256/qj.02.14
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A data-assimilation scheme to assimilate the Global Ozone Monitoring Experiment (GOME) total-ozone data is described. The corresponding software (called TM3DAM) has been operational since early 2000 and is used to produce daily ozone analyses and five-day ozone forecasts. The model is a tracer-transport model with a parametrized description of stratospheric gas-phase and heterogeneous ozone chemistry. It is driven by operational meteorological fields from the ECMWF numerical weather-prediction model. TM3DAM analyses near-real-time level-2 ozone data from the DOME instrument on the ESA ERS-2 satellite. The focus of this paper is on the data-assimilation aspects and the analysis results. The assimilation approach is based on the Kalman-filter equations and provides detailed and realistic maps of the forecast error. The analysis scheme is nevertheless computationally efficient. The forecast-minus-observation statistics, accumulated over a two-year period, are described in detail. A comparison with TOMS and Brewer observations shows good agreement.
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页码:1663 / 1681
页数:19
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