DocumentCode :
1329227
Title :
An Improved Fast Microwave Water Emissivity Model
Author :
Liu, Quanhua ; Weng, Fuzhong ; English, Stephen J.
Author_Institution :
Joint Center for Satellite Data Assimilation, Camp Springs, MD, USA
Volume :
49
Issue :
4
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
1238
Lastpage :
1250
Abstract :
Satellite measurements from microwave instruments have made a significant contribution to the skill of numerical weather forecasting, on both global and regional scales. A FAST microwave Emissivity Model (FASTEM), which was developed by the Met Office, U.K., has been widely utilized to compute the surface emitted radiation in forward calculations. However, the FASTEM model was developed for frequencies in the range of 20-60 GHz, and it is biased at higher and lower frequencies. Several critical components such as variable sea surface salinity and full Stokes vector have not been generally taken into account. In this paper, the effects of the permittivity models are investigated, and a new permittivity model is generated by using the measurements for fresh and salt water at frequencies between 1.4 and 410 GHz. A modified sea surface roughness model from Durden and Vesecky is applied to the detailed two-scale surface emissivity calculations. This ocean emissivity model at microwave is now being used in the Community Radiative Transfer Model, and it has resulted in some major improvements in microwave radiance simulations. This paper is a joint effort of the Met Office, U.K., and the Joint Center for the Satellite Data Assimilation, U.S. The model is called as FASTEM-4 in the Radiative Transfer for TIROS Operational Vertical Sounder model.
Keywords :
emissivity; microwave measurement; permittivity; radiative transfer; remote sensing; weather forecasting; Community Radiative Transfer Model; FAST microwave Emissivity Model; FASTEM model; Met Office; TIROS Operational Vertical Sounder model; frequency 1.4 GHz to 410 GHz; full Stokes vector; numerical weather forecasting; permittivity model; satellite measurement; sea surface roughness model; sea surface salinity; surface emitted radiation; Microwave sensor; remote sensing; surface wave;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2064779
Filename :
5580050
Link To Document :
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