基于两种定位技术的确定性集合卡尔曼滤波器，用于减轻准地养模型的采样误差

IF 1.9 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Meteorology and Atmospheric Physics Pub Date : 2024-05-20 DOI:10.1007/s00703-024-01015-1

Mingheng Chang, Jikai Duan, Xiangyue Chen, Wenpeng Wang, Hongchao Zuo, Yulong Bai, Bolong Chen, Lei Ma

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Deterministic ensemble Kalman filter based on two localization techniques for mitigating sampling errors with a quasi-geostrophic model

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Deterministic ensemble Kalman filter based on two localization techniques for mitigating sampling errors with a quasi-geostrophic model

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来源期刊

Meteorology and Atmospheric Physics 地学-气象与大气科学

CiteScore

4.00

自引率

5.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Meteorology and Atmospheric Physics accepts original research papers for publication following the recommendations of a review panel. The emphasis lies with the following topic areas: - atmospheric dynamics and general circulation; - synoptic meteorology; - weather systems in specific regions, such as the tropics, the polar caps, the oceans; - atmospheric energetics; - numerical modeling and forecasting; - physical and chemical processes in the atmosphere, including radiation, optical effects, electricity, and atmospheric turbulence and transport processes; - mathematical and statistical techniques applied to meteorological data sets Meteorology and Atmospheric Physics discusses physical and chemical processes - in both clear and cloudy atmospheres - including radiation, optical and electrical effects, precipitation and cloud microphysics.