Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method-Reference-Cited by-同舟云学术

Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method

Published:2021-05-03 Issue:9 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Gan Ruhui¹^ORCID,Yang Yi¹^ORCID,Qiu Xiaobin²,Wang Ruichun³⁴,Qiu Xuexing⁵,Zhu Lijuan³⁴

Affiliation:

1. Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province College of Atmospheric Sciences Lanzhou University Lanzhou China

2. Tianjin Key Laboratory for Oceanic Meteorology Tianjin Institute of Meteorological Science Tianjin China

3. National Meteorological Center Beijing China

4. Numerical Weather Prediction Center of China Meteorological Administration Beijing China

5. Anhui Meteorological Observatory Hefei China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JD034300

Reference66 articles.

1. The Effect of Assimilating Rain Rates Derived from Satellites and Lightning on Forecasts of the 1993 Superstorm

2. Assimilation of Pseudo-GLM Data Using the Ensemble Kalman Filter

3. An adaptive covariance inflation error correction algorithm for ensemble filters

4. Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter

5. Spatially and temporally varying adaptive covariance inflation for ensemble filters

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