Introduction of a Mixed Lognormal Probability Distribution Function and a New Displacement Correction Method for Precipitation to the Ensemble-Based Variational Assimilation of the All-Sky Microwave Imager Brightness Temperatures
Author:
Affiliation:
1. Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan
2. Meteorological Research Institute, Tsukuba, Japan
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/99/5/99_2021-059/_pdf
Reference35 articles.
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2. Aonashi, K., K. Okamoto, T. Tashima, T. Kubota, and K. Ito, 2016: Sampling error damping method for a cloud-resolving model using a dual-scale neighboring ensemble approach. Mon. Wea. Rev., 144, 4751-4770.
3. Bauer, P., A. J. Geer, P. Lopez, and D. Salmond, 2010: Direct 4D-Var assimilation of all-sky radiances. Part I: Implementation. Quart. J. Roy. Meteor. Soc., 136, 1868-1885.
4. Bishop, C. H., B. J. Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436.
5. Chambon, P., S. Q. Zhang, A. Y. Hou, M. Zupanski, and S. Cheung, 2014: Assessing the impact of pre-GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system. Quart. J. Roy. Meteor. Soc., 140, 1219-1235.
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2. Editorial for the special edition on Global Precipitation Measurement (GPM): 5th Anniversary;Journal of the Meteorological Society of Japan. Ser. II;2022
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