Abstract
Satellite infrared (IR) sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction (NWP) models and atmospheric analysis/reanalysis. This paper reviews the development of satellite IR data assimilation in NWP in recent years, especially the assimilation of all-sky satellite IR observations. The major challenges and future directions are outlined and discussed.
摘要
基于气象卫星的红外观测辐射量, 已成为数据同化系统中的主要组成部分, 为数值天气预报和大气再分析场提供重要数据来源。极轨红外探测仪能提供高空间分辨率的数据, 静止红外探测仪有高时间分辨率的特点, 因此都能够为大气探测和临近预报提供非常重要的观测数据。近年来, 通过同化晴空区的红外辐射量, 显著地降低了数值天气预报的预报误差。但是由于红外波段的数据受云的影响很大, 云区的红外辐射量同化一直是近年来国内外学者关注和研究的重点。本文综述了近年来数值天气预报中红外卫星数据资料同化的发展, 特别是全天包括云区的卫星红外辐射同化, 并概述和讨论了相应的问题、挑战和未来研究方向。
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Acknowledgements
This work is partially supported by the JPSS PGRR science program (NA15NES4320001) and the NOAA Joint Technology Transfer Initiative (NA19OAR4590240) at CIMSS/University of Wisconsin-Madison.
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Article Highlights
• A review and summary of the current satellite radiance assimilation.
• The challenges and progress of all-sky radiance assimilation.
• Future strategies for all-sky radiance assimilation.
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Li, J., Geer, A.J., Okamoto, K. et al. Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives. Adv. Atmos. Sci. 39, 9–21 (2022). https://doi.org/10.1007/s00376-021-1088-9
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DOI: https://doi.org/10.1007/s00376-021-1088-9