Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites

被引：19

作者：

Pinker, Rachel T. ^{[1
]}

Ma, Yingtao ^{[1
]}

Chen, Wen ^{[1
]}

Hulley, Glynn ^{[2
]}

Borbas, Eva ^{[3
]}

Islam, Tanvir ^{[2
]}

Hain, Chris ^{[4
]}

Cawse-Nicholson, Kerry ^{[2
]}

Hook, Simon ^{[2
]}

Basara, Jeff ^{[5
,6
]}

机构：

[1] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA

[2] NASA Jet Prop Lab, M-S 183-501,4800 Oak Grove Dr, Pasadena, CA 91109 USA

[3] Univ Wisconsin, Ctr Space Sci & Engn, CIMSS, 1225 W Dayton St, Madison, WI 53706 USA

[4] NASA Marshall Space Flight Ctr, Huntsville, AL 35808 USA

[5] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA

[6] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA

来源：

REMOTE SENSING | 2019年 / 11卷 / 12期

基金：

美国国家航空航天局;

关键词：

Land Surface Temperature (LST); satellite retrievals of LST; LST from GOES satellites; RADIATIVE-TRANSFER MODEL; THERMAL INFRARED DATA; DIURNAL CYCLE; SKIN TEMPERATURE; ANGULAR ANISOTROPY; SPATIAL-RESOLUTION; EMISSIVITY; ALGORITHM; CLEAR; VALIDATION;

D O I：

10.3390/rs11121399

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Our objective is to develop a framework for deriving long term, consistent Land Surface Temperatures (LSTs) from Geostationary (GEO) satellites that is able to account for satellite sensor updates. Specifically, we use the Radiative Transfer for TOVS (RTTOV) model driven with Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) information and Combined ASTER and MODIS Emissivity over Land (CAMEL) products. We discuss the results from our comparison of the Geostationary Operational Environmental Satellite East (GOES-E) with the MODIS Land Surface Temperature and Emissivity (MOD11) products, as well as several independent sources of ground observations, for daytime and nighttime independently. Based on a six-year record at instantaneous time scale (2004-2009), most LST estimates are within one std from the mean observed value and the bias is under 1% of the mean. It was also shown that at several ground sites, the diurnal cycle of LST, as averaged over six years, is consistent with a similar record generated from satellite observations. Since the evaluation of the GOES-E LST estimates occurred at every hour, day and night, the data are well suited to address outstanding issues related to the temporal variability of LST, specifically, the diurnal cycle and the amplitude of the diurnal cycle, which are not well represented in LST retrievals form Low Earth Orbit (LEO) satellites.

引用

页数：23