Using surface stations to improve sounding retrievals from hyperspectral infrared instruments

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Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/101288

Title:	Using surface stations to improve sounding retrievals from hyperspectral infrared instruments
Authors:	任玄;Liu, Chian-Yi;Liu, Gin-Rong;Lin, Tang-Huang;Liu, Chung-Chih;Ren, Hsuan;Young, Chih-Chieh
Contributors:	太空及遙測研究中心
Keywords:	Algorithms;Atmospheric boundary layer;Atmospheric measurements;Atmospheric modeling;Atmospheric sounding;Atmospheric sounding algorithm;Atmospheric temperature;boundary layer;Boundary layers;Environmental research;Meteorology;Moisture;Moisture profiles;Ocean temperature;Radiance;Retrieval;Sea surface;Temperature measurement;thermodynamic structure;Thermodynamics;Water vapor
Date:	2014-01-01
Issue Date:	2026-04-21 14:29:19 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
Abstract:	摘要： 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. 其他題名： TGRS 出版者： New York: IEEE 出版日期： 2014-11-01 出處： IEEE transactions on geoscience and remote sensing, 2014-11, Vol.52 (11), p.6957-6963 資源來源： IEEE All-Society Periodicals Package (ASPP) 1998–Present 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2014 識別號： ISSN: 0196-2892 識別號： EISSN: 1558-0644 識別號： DOI: 10.1109/TGRS.2014.2305992 識別號： CODEN: IGRSD2
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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