Direct Assimilation of Radar Reflectivity Data Using Ensemble Kalman Filter Based on a Two-Moment Microphysics Scheme for the Analysis and Forecast of Typhoon Lekima (2019)

Direct Assimilation of Radar Reflectivity Data Using Ensemble Kalman Filter Based on a Two-Moment Microphysics Scheme for the Analysis and Forecast of Typhoon Lekima (2019)

We investigate the impact of directly assimilating radar reflectivity data using an ensemble Kalman filter (EnKF) based on a double-moment (DM) microphysics parameterization (MP) scheme in GSI-EnKF data assimilation (DA) framework and WRF model for a landfall typhoon Lekima (2019). Observations from...

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Bibliographic Details
Main Authors:	Jingyao Luo, Hong Li, Ming Xue, Yijie Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Remote Sensing
Subjects:	radar reflectivity assimilation ensemble Kalman filter double-moment microphysics typhoon simulation
Online Access:	https://www.mdpi.com/2072-4292/14/16/3987

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