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    Improved AIRS Temperature and Moisture Soundings with Local A Priori Information for the 1DVAR Method 

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 005:;page 1083
    Author(s): Jang, Hyun-Sung; Sohn, Byung-Ju; Chun, Hyoung-Wook; Li, Jun; Weisz, Elisabeth
    Publisher: American Meteorological Society
    Abstract: moving-window regression technique was developed for obtaining better a priori information for one-dimensional variational (1DVAR) physical retrievals. Using this technique regression coefficients were obtained for a ...
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    DSpace software copyright © 2002-2015  DuraSpace
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