Heavy rainfall prediction applying satellite-based cloud data assimilation over land-Reference-Cited by-同舟云学术

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Heavy rainfall prediction applying satellite-based cloud data assimilation over land

Published:2016-08-27 Issue:16 Volume:121 Page:9737-9755
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Seto Rie¹,Koike Toshio²³,Rasmy Mohamed³

Affiliation:

1. Institute of Engineering Innovation, School of Engineering; University of Tokyo; Tokyo Japan

2. Department of Civil Engineering; University of Tokyo; Tokyo Japan

3. International Centre for Water Hazard and Risk Management under the auspices of UNESCO (ICHARM)

Funder

Grant-in-Aid for JSPS Fellows

Publisher

American Geophysical Union (AGU)

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JD025291/fullpdf

Reference37 articles.

1. Assimilation and modeling of the atmospheric hydrological cycle in the ECMWF forecasting system;Andersson;Bull. Am. Meteorol. Soc.,2005

2. Satellite cloud and precipitation assimilation at operational NWP centres;Bauer;Q. J. R. Meteorol. Soc.,2011

3. Impact of assimilating SSM/I rainfall rates on numerical prediction of winter cyclones;Chang;Mon. Weather Rev.,1994

4. Shuffled complex evolution approach for effective and efficient global minimization;Duan;J. Optim. Theory Appl.,1993

5. Assimilation of satellite cloud and precipitation observations in numerical weather prediction models: Introduction to the JAS special collection;Errico;J. Atmos. Sci.,2007a

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