风对热带海洋及高纬度地区近地面风预报的影响

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Measurement Techniques Pub Date : 2023-08-24 DOI:10.5194/amt-16-3901-2023
Haichen Zuo, C. Hasager
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引用次数: 0

摘要

摘要为了探测全球风廓线并改善数值天气预报(NWP),欧洲航天局(ESA)于2018年发射了搭载星载多普勒风激光雷达的Aeolus卫星。成功发射后,欧洲中期天气预报中心(ECMWF)进行了观测系统实验(oes),以评估Aeolus数据对NWP的贡献。本研究旨在评估ECMWF模式中风同化对热带海洋地区近地面(10米高度)风预报的影响,以浮标测量为参考,并以气象站数据为参考,评估高纬度地区2020年风预报的影响。评估主要通过相互比较分析进行。结果表明,与浮标测量结果相比,风资料同化对热带地区海面风预报的影响有限。对于北半球高纬度地区,Aeolus能够改善近地面风预报。随着预测时间步长的延长,这种积极影响在2020年上半年和冬季月份更为明显。此外,v分量往往比u分量更能从风量观测中获益。对于南半球,观测到一些误差减小,但随机存在。总的来说,这种基于现场数据的评估扩大了我们对全球NWP模式在预测热带海洋和高纬度地区近地面风方面的作用的理解。
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The impact of Aeolus winds on near-surface wind forecasts over tropical ocean and high-latitude regions
Abstract. To detect global wind profiles and improve numerical weather prediction (NWP), the European Space Agency (ESA) launched the Aeolus satellite carrying a spaceborne Doppler wind lidar in 2018. After the successful launch, the European Centre for Medium-Range Weather Forecasts (ECMWF) performed the observing system experiments (OSEs) to evaluate the contribution of Aeolus data to NWP. This study aims to assess the impact of Aeolus wind assimilation in the ECMWF model on near-surface (10 m height) wind forecasts over tropical ocean regions by taking buoy measurements for reference and over high-latitude regions by taking weather station data for reference for the year 2020. The assessments were conducted mainly through inter-comparison analysis. The results show that Aeolus data assimilation has a limited impact on sea surface wind forecasts for tropical regions when compared with buoy measurements. For the high-latitude regions in the Northern Hemisphere, Aeolus is able to improve near-surface wind forecasts. This positive impact is more evident as the forecast time step is extended, during the first half year of 2020 and during the winter months. In addition, the v component tends to benefit more from the Aeolus observations than the u component. For the Southern Hemisphere, a few error reductions are observed but exist randomly. Overall, this in situ data-based assessment expands our understanding of the role of Aeolus data assimilation with the global NWP model in predicting near-surface wind for tropical oceans and high-latitude regions.
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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