Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome

被引:13
|
作者
Hagelin, Susanna [1 ]
Azad, Roohollah [2 ]
Lindskog, Magnus [1 ]
Schyberg, Harald [2 ]
Kornich, Heiner [1 ]
机构
[1] SMHI, Norrkoping, Sweden
[2] Met Norway, Oslo, Norway
关键词
ERROR COVARIANCES; ASSIMILATION; WINDS; DIAGNOSIS; LIDAR;
D O I
10.5194/amt-14-5925-2021
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The impact of using wind observations from the Aeolus satellite in a limited-area numerical weather prediction (NWP) system is being investigated using the limited-area NWP model Harmonie-Arome over the Nordic region. We assimilate the horizontal line-of-sight (HLOS) winds observed by Aeolus using 3D-Var data assimilation for two different periods, one in September-October 2018 when the satellite was recently launched and a later period in April- May 2020 to investigate the updated data processing of the HLOS winds. We find that the quality of the Aeolus observations has degraded between the first and second experiment period over our domain. However, observations from Aeolus, in particular the Mie winds, have a clear impact on the analysis of the NWP model for both periods, whereas the forecast impact is neutral when compared against radiosondes. Results from evaluation of observation minus background and observation minus analysis departures based on Desroziers diagnostics show that the observation error should be increased for Aeolus data in our experiments, but the impact of doing so is small. We also see that there is potential improvement in using 4D-Var data assimilation, which generates flow-dependent analysis increments, with the Aeolus data.
引用
收藏
页码:5925 / 5938
页数:14
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