The validation of AIRS retrievals of integrated precipitable water vapor using measurements from a network of ground-based GPS receivers over contiguous United States
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作者:
Rama Varma Raja, M.K.
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I. M. Systems Group Inc., Kensington, MD, United StatesI. M. Systems Group Inc., Kensington, MD, United States
Rama Varma Raja, M.K.
[1
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Gutman, Seth I.
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NOAA, Earth System Research Laboratory, Global Systems Division, Boulder, CO, United StatesI. M. Systems Group Inc., Kensington, MD, United States
Gutman, Seth I.
[2
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Yoe, James G.
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机构:
NOAA, NESDIS, ORA, World Weather Building, 5200 Auth Rd., Camp Springs, MD 20746-4304, United StatesI. M. Systems Group Inc., Kensington, MD, United States
Yoe, James G.
[3
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McMillin, Larry M.
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NOAA, NESDIS, ORA, World Weather Building, 5200 Auth Rd., Camp Springs, MD 20746-4304, United StatesI. M. Systems Group Inc., Kensington, MD, United States
McMillin, Larry M.
[3
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Zhao, Jiang
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QSS Group Inc., Lanham, MD, United StatesI. M. Systems Group Inc., Kensington, MD, United States
Zhao, Jiang
[4
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机构:
[1] I. M. Systems Group Inc., Kensington, MD, United States
[2] NOAA, Earth System Research Laboratory, Global Systems Division, Boulder, CO, United States
[3] NOAA, NESDIS, ORA, World Weather Building, 5200 Auth Rd., Camp Springs, MD 20746-4304, United States
A robust and easily implemented verification procedure based on the column-integrated precipitable water (IPW) vapor estimates derived from a network of ground-based global positioning system (GPS) receivers has been used to assess the quality of the Atmospheric Infrared Sounder (AIRS) IPW retrievals over the contiguous United States. For a period of six months from April to October 2004;
excellent agreement has been realized between GPS-derived IPW estimates and those determined from AIRS;
showing small monthly bias values ranging from 0.5 to 1.5 mm and root-mean-square (rms) differences of 4 mm or less. When the spatial (latitude-longitude) window for the GPS and AIRS matchup observations is reduced fronithe initial 1/2 by 1/2 to 1/4 by 1/4;
the rms differences are reduced. Analysis revealed that the observed IPW biases between the instruments are strongly correlated to the reported surface pressure differences between the GPS and AIRS observational points. Adjusting the AIRS IPW values to account for the surface pressure discrepancies resulted in significant reductions of the bias between GPS and AIRS. A similar reduction can be obtained by comparing only (GPS-AIRS) match-up pairs for which the corresponding surface pressure differences are 0.5 mb or less. The comparisons also revealed that the AIRS IPW tends to be relatively dry in moist atmospheres (when IPW values >40 mm) but wetter in dry cases (when IPW values;
机构:
CALTECH, Jet Prop Lab, NASA, 4800 Oak Grove Dr, Pasadena, CA 91125 USACALTECH, Jet Prop Lab, NASA, 4800 Oak Grove Dr, Pasadena, CA 91125 USA
Smalley, Mark
Kirstetter, Pierre-Emmanuel
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机构:
Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA
Natl Severe Storms Lab, Norman, OK 73069 USACALTECH, Jet Prop Lab, NASA, 4800 Oak Grove Dr, Pasadena, CA 91125 USA
Kirstetter, Pierre-Emmanuel
L'Ecuyer, Tristan
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Univ Wisconsin, Madison, WI USACALTECH, Jet Prop Lab, NASA, 4800 Oak Grove Dr, Pasadena, CA 91125 USA