DocumentCode
1248461
Title
Determination of oceanic total precipitable water from the SSM/I
Author
Alishouse, John C. ; Snyder, Sheila A. ; Vongsathorn, Jennifer ; Ferraro, Ralph R.
Author_Institution
NOAA, Washington, DC, USA
Volume
28
Issue
5
fYear
1990
fDate
9/1/1990 12:00:00 AM
Firstpage
811
Lastpage
816
Abstract
Results are presented of calibration/validation studies showing the ability of the Special Sensor Microwave/Imager (SSM/I) to measure total precipitable water in the atmosphere over the ocean. Comparisons between radiosondes and the SSM/I are presented for three different algorithms. The results show the possibility of a distinct improvement in the retrieval of total precipitable water over the ocean. The global, nonlinear algorithm is more sensitive to cloud liquid water content, rain, and sea ice. The additional sensitivity is due to the screening of rain and sea ice from the dependent data and the squared term in the retrieval algorithm. Thus, it will be very important to have good screening procedures for identifying these conditions. The linear algorithm overestimates in the mid-range and underestimates at large values of total precipitable water. The explanation for this effect is probably related to the selection of the center of the water vapor line as the operating frequency of the SSM/I water vapor channel. The line center is most likely to exhibit a saturation effect at large water vapor amounts, and pressure and temperature effects can also be important, depending on the distribution of water vapor in the atmosphere
Keywords
atmospheric humidity; atmospheric precipitation; remote sensing; DMSP; SSM/I; Special Sensor Microwave/Imager; algorithms; atmosphere; calibration; cloud liquid water content; oceanic total precipitable water; pressure effects; rain; screening procedures; sea ice; temperature effects; validation studies; Atmosphere; Atmospheric measurements; Calibration; Image sensors; Microwave measurements; Microwave sensors; Oceans; Rain; Sea ice; Sea measurements;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.58967
Filename
58967
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