Atmosphere data assimilation system for the Siberian region with the WRF-ARW model and three-dimensional variational analysis WRF 3D-Var

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• 作者：R. B. Zaripov ; Yu. V. Martynova ; V. N. Krupchatnikov…
• 关键词：Atmospheric modeling ; analysis of atmospheric conditions ; regional weather forecast ; assimilation of satellite observations
• 刊名：Russian Meteorology and Hydrology
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：41
• 期：11-12
• 页码：808-815
• 全文大小：
• 刊物主题：Atmospheric Sciences; Meteorology;
• 出版者：Allerton Press
• ISSN：1934-8096
• 卷排序：41

文摘

The system of the cyclic assimilation of data on atmospheric conditions used in the West Siberian Administration for Hydrometeorology and Environmental Monitoring is described. It is based on the WRF-ARW mesoscale atmospheric model and on the WRF 3D-Var system of the three-dimensional variational analysis of data. The system is verified when the first approximation data (6-hour forecast) and WRF-ARW forecasts with the lead time up to 24 hours are compared with the observational data. The problems of assimilation of observations from the AMSU-A and AIRS satellite instruments are considered. The effect of using AMSU-A and AIRS for the analysis in the Novosibirsk region is estimated. The experiments demonstrated that the cyclic data assimilation system operates successfully. The AMSU-A observations improve the quality of analyses and forecasts in winter. In summer the impact of satellite observations on the forecast skill scores is ambiguous. Good short-term forecasts are provided by the initial conditions obtained using the system of detailing of the NCEP large-scale analysis.