NDLI: Evaluations of retrieved cloud liquid water from AMSR-E, and impacts on numerical weather prediction

Content Provider	IEEE Xplore Digital Library
Author	Egawa, T. Kazumori, M.
Copyright Year	2008
Description	Author affiliation: Japan Meteorol. Agency, Tokyo (Egawa, T.; Kazumori, M.)
Abstract	Japan Meteorological Agency (JMA) uses the observations from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) in the data assimilation systems for the numerical weather prediction (NWP). In the JMA mesoscale model (MSM), retrievals of total column precipitable water (TCPW) and precipitation (PR) are assimilated. A MSC (Meteorological Satellite Center) algorithm is used to retrieve them. In the global spectral model (GSM), radiances of vertically polarized channels in less-cloudy area are assimilated. But cloud-affected radiances are also used. In our NWP experiments, retrievals of cloud liquid water (CLW) from AMSR-E with the MSC algorithm were used to remove the strongly cloud-affected data and to correct the bias which is derived from the thin cloud. The most significant impact on the forecast experiment was the improvement of the temperature at 850 hPa in the tropics.
Starting Page	1
Ending Page	4
File Size	573030
Page Count	4
File Format	PDF
ISBN	9781424419869
DOI	10.1109/MICRAD.2008.4579457
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-11
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GSM Polarization Clouds Earth Observing System Satellite broadcasting Weather forecasting Information retrieval Microwave radiometry Meteorology Data assimilation
Content Type	Text
Resource Type	Article

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