Displaced Ensemble Variational Assimilation Method to Incorporate Microwave Imager Brightness Temperatures into a Cloud-resolving Model-Reference-Cited by-同舟云学术

Displaced Ensemble Variational Assimilation Method to Incorporate Microwave Imager Brightness Temperatures into a Cloud-resolving Model

Published:2011 Issue:3 Volume:89 Page:175-194
ISSN:0026-1165
Container-title:Journal of the Meteorological Society of Japan. Ser. II
language:en
Short-container-title:Journal of the Meteorological Society of Japan

Author:

AONASHI Kazumasa¹,EITO Hisaki²

Affiliation:

1. Meteorological Research Institute

2. Numerical Prediction Division, Japan Meteorological Agency

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

http://www.jstage.jst.go.jp/article/jmsj/89/3/89_3_175/_pdf

Reference24 articles.

1. Aonashi, K., 2008: Toward assimilation of MWR TBs into CRM: ensemble forecast error distribution and covariances of CRM variables and TBs, Proceedings of 2008 IEEE International Geosciences and Remote sensing Symposium, TU2.210.

2. GSMaP Passive Microwave Precipitation Retrieval Algorithm : Algorithm Description and Validation

3. Bauer, P., P. Lopez, A. Benedetti, D. Salmond, and E. Moreau, 2006: Implementation of 1D+4D-Var assimilation of precipitation-affected microwave radiances at ECMWF. I: 1DVar. Quart. J. Roy. Meteor. Soc., 132, 2277–2306.

4. Verification of Hydrometeor Properties Simulated by a Cloud-Resolving Model Using a Passive Microwave Satellite and Ground-Based Radar Observations for a Rainfall System Associated with the Baiu Front

5. Gaspari, G., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723–758.

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