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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43674

Title: Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments
Authors: Chian-Yi Liu;Gin-Rong Liu;Tang-Huang Lin;Chung-Chih Liu;Hsuan Ren;Chih-Chieh Young
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Date: 2014-11
Issue Date: 2017-10-24T07:55:29Z
Publisher: IEEE Transactions on Geoscience and Remote Sensing
Abstract: Abstract::Having an accurate atmospheric thermodynamic state is critical for environmental research, particularly the vertical temperature and moisture profiles within the atmospheric boundary layer. This paper investigates the synergistic use of spaceborne hyperspectral infrared radiance measurement and traditional surface observation to conduct the best estimation of atmospheric temperature and water vapor profiles. Comparing the retrieval results from the original spaceborne observation stand-alone algorithm, atmospheric boundary layer temperature and moisture retrievals appear to be improved through the inclusion of the surface observation in the new developed algorithm. The statistics of retrieval performance by comparing with radiosonde observation suggest that the improvement is not only at the lowest surface level but also within the planetary boundary layer. This implies the benefit of surface observation in the atmospheric sounding retrieval algorithm, and the boundary layer thermodynamic structure could be retrieved optimally from the use of both spaceborne and ground-based observations.
Relation: 52(11) pp.6957-6963
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43674
Appears in Collections:[海洋環境資訊系] 期刊論文

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