Using satellite-derived Atmospheric Motion Vector (AMV) observations in the ensemble data assimilation system
- 作者: Mizyak V.1, Shlyaeva A.2, Tolstykh M.3,1
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隶属关系:
- Hydrometeorological Research Center of the Russian Federation
- Cooperative Institute for Research in Environmental Sciences, 216 UCB
- Institute of Numerical Mathematics RAS
- 期: 卷 41, 编号 6 (2016)
- 页面: 439-446
- 栏目: The Winners of the Conference of Young Scientists
- URL: https://journals.rcsi.science/1068-3739/article/view/229713
- DOI: https://doi.org/10.3103/S1068373916060091
- ID: 229713
如何引用文章
详细
The use of global Atmospheric Motion Vectors (AMV) satellite observations in the meteorological data assimilation system based on Local Ensemble Transform Kalman Filter (LETKF) algorithm is considered. The height assignment is the most crucial error source for AMV observations. To reduce its impact, the AMV height reassignment method is implemented; it is based on the consistency coefficient bet ween the observed and the background winds. The other way to improve the analysis quality is a more accurate specification of AMV observation errors. This necessitates the use of the nondiagonal observation-error covariance matrix R in the data assimilation scheme. The first results of these studies are presented. It is demonstrated that the use of AMV observations in the data assimilation system reduces the errors of forecasts computed from the initial data of this system.
作者简介
V. Mizyak
Hydrometeorological Research Center of the Russian Federation
编辑信件的主要联系方式.
Email: vmizyak@mecom.ru
俄罗斯联邦, Bolshoi Predtechenskii per. 11-13, Moscow, 123242
A. Shlyaeva
Cooperative Institute for Research in Environmental Sciences, 216 UCB
Email: vmizyak@mecom.ru
美国, Boulder, C080309
M. Tolstykh
Institute of Numerical Mathematics RAS; Hydrometeorological Research Center of the Russian Federation
Email: vmizyak@mecom.ru
俄罗斯联邦, ul. Gubkina, 8, Moscow, 119333; Bolshoi Predtechenskii per. 11-13, Moscow, 123242