Study of Aerosol Influence on Nighttime Land Surface Temperature Retrieval Based on Two Methods. (4th March 2015)

• Record Type: Journal Article
• Authors: Gao, Caixia; Zhao, Enyu; Li, Chuanrong; Qian, Yonggang; Ma, Lingling; Tang, Lingli; Jiang, Xiaoguang; Huo, Hongyuan
• Other Names: Dethloff Klaus Academic Editor.
• Is Part Of: Advances in meteorology. Volume 2015(2015)
• Publication Date: 2015-03-04
• Subjects: Meteorology -- Periodicals; Meteorology; Periodicals; 551.505
• DOI: 10.1155/2015/496458
• Languages: English
• ISSNs: 1687-9309

Abstract

Abstract : The aim of this study is to evaluate the aerosol influence on LST retrieval with two algorithms (split-window (SW) method and a four-channel based method) using simulated data under typical conditions. The results show that the root mean square error (RMSE) decreases to approximately 2.3 K for SW method and 1.5 K for four channel based method when VZA = 60° and visibility = 3 km; an RMSE would be increased by approximately 1.0 K when visibility varies from 3 km to 23 km. Moreover, a detailed sensitivity analysis under a visibility of 3 km and 23 km is performed in terms of uncertainties of land surface emissivity (LSE), water vapor content (WVC), and instrument noise, respectively. It is noted that the four-channel based method is more sensitive to LSE than SW method, especially for dry atmosphere; LST error caused by a WVC uncertainty of 20% is within 1.5 K for SW method and within 0.8 K for four-channel based method; the instrument noise would introduce LST error with a maximum standard deviation of 0.5 K and 0.04 K for the four-channel based method and SW method, respectively.