Estimating the retrievability of temperature profiles from satellite infrared measurements |
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Authors: | Jing Huang Chongjian Qiu Gang Ma Yanwu Zhang |
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Institution: | College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000,College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000,National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081,Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000 |
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Abstract: | A method is developed to assess retrievability, namely the retrieval potential for atmospheric temperature profiles, from satellite infrared measurements in clear-sky conditions. This technique is based upon generalized linear inverse theory and empirical orthogonal function analysis. Utilizing the NCEP global temperature reanalysis data in January and July from 1999 to 2003, the retrievabilities obtained with the Atmospheric Infrared Sounder (AIRS) and the High Resolution Infrared Radiation Sounder/3 (HIRS/3)sounding channel data are derived respectively for each standard pressure level on a global scale. As an incidental result of this study, the optimum truncation number in the method of generalized linear inverse is deduced too. The results show that the retrievabilities of temperature obtained with the two datasets are similar in spatial distribution and seasonal change characteristics. As for the vertical distribution, the retrievabilities are low in the upper and lower atmosphere, and high between 400 hPa and 850 hPa. For the geographical distribution, the retrievabilities are low in the low-latitude oceanic regions and in some regions in Antarctica, and relatively high in mid-high latitudes and continental regions. Compared with the HIRS/3 data, the retrievability obtained with the AIRS data can be improved by an amount between 0.15 and 0.40. |
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Keywords: | meteorological satellites generalized linear inverses temperature profiles EOF analysis retrievability |
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