Scale-dependent impact of Aeolus winds on a global forecast system

被引:1
作者
Chou, Chih-Chun [1 ,2 ]
Kushner, Paul J. [1 ]
机构
[1] Univ Toronto, Dept Phys, Toronto, ON, Canada
[2] Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada
关键词
Aeolus; forecast system; NWP; satellite; wind observations; RADIOSONDE OBSERVATIONS; DATA ASSIMILATION; VALIDATION; PREDICTABILITY; AIRCRAFT; PROFILER; MODEL;
D O I
10.1002/qj.4601
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The European Space Agency's Aeolus mission, launched in August 2018, provides the first global horizontal line-of-sight wind profile measurements. Previous studies have shown that Aeolus winds in global forecast systems improve the overall forecast skill, especially in the upper tropospheric tropics and in other data-sparse regions. In this study, we use a series of observing system experiments with the latest version of the reprocessed Aeolus wind product (2B11) to better characterize the locations and drivers of improved skill from Aeolus with Environment and Climate Change Canada's Global Deterministic Prediction System. Observing system experiments that test the impact of Aeolus winds and the impact of all operational wind observations are carried out, covering the period summer 2019 and winter 2019-2020. Assimilation of operational winds improves the tropospheric wind forecast over the Tropics by a reduction of 8% in the forecast error, and adding the Aeolus winds to the assimilations results in an extra 0.7-0.9%. Aeolus wind impacts are improvements are 0.7-0.9% for the Arctic, and 0.4-0.6% over the Northern and Southern Hemisphere extratropics. The scale dependence of these impacts is investigated using spatial spectra (spherical harmonic decomposition). The improvement is quantified using the difference of the 250 hPa kinetic energy forecast error spectra between experiments. The operational winds largely improve the forecast of planetary scale to intermediate scale for spherical wave numbers between 1 and 20 in the short-range forecasts. The operational wind impact decreases as the forecast lead time increases. On the other hand, the impact of Aeolus is mostly seen in the intermediate to large scale range with a peak around spherical wave number 8. The Aeolus-related improvement around this wave number increases with forecast lead time. This analysis suggests that Aeolus winds provide estimates of the wind state that are valuable and complementary to that provided from current operational winds.
引用
收藏
页码:373 / 387
页数:15
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