Retrieval of Sea Surface Temperature from TRMM VIRS |
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| Authors: | Lei Guan Hiroshi Kawamura Hiroshi Murakami |
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| Institution: | (1) Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan;(2) Ocean Remote Sensing Institute, Ocean University of China, Qingdao, 266003, China;(3) National Space Development Agency of Japan, Harumi Island Triton Square X-23, Earth Observation Research Center, Harumi, Chuo-ku, Tokyo 104-6023, Japan |
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| Abstract: | The Visible and Infrared Scanner (VIRS) aboard the Tropical Rainfall Measuring Mission (TRMM) is a five-channel radiometer
with wavelength from 0.6 to 12 μm. Daily 0.125° sea surface temperature (SST) data from VIRS were first produced at the National
Space Development Agency (NASDA) for comparison with SST from TRMM Microwave Imager (TMI). In order to obtain accurate high
spatial resolution SST for the merging of SST from infrared and microwave measurements, new SST retrieval coefficients of
the Multichannel SST (MCSST) algorithm were generated using the global matchups from VIRS brightness temperature (BT) and
Global Telecommunications System (GTS) SST. Cloud detection was improved and striping noise was eliminated. One-year global
VIRS level-1B data were reprocessed using the MCSST algorithm and the advanced cloud/noise treatments. The bias and standard
deviation between VIRS split-window SST and in situ SST are 0.10°C and 0.63°C, and for triple-window SST, are 0.06°C and 0.48°C.
The results indicate that the reprocessing algorithm is capable of retrieving high quality SST from VIRS data.
This revised version was published online in July 2006 with corrections to the Cover Date. |
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| Keywords: | SST TRMM VIRS cloud detection removal of striping |
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