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Proceedings Paper

Global surface skin temperature analysis from recent decadal IASI observations
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Paper Abstract

Time-series of global satellite measurements allow for monitoring the global and regional environmental characteristics and associated change. Global surface skin temperature has been retrieved from MetOp-A/IASI hyperspectral infrared measurements over the past decade. Monthly and spatially-gridded surface skin temperature is produced to show some phenomena associated with its natural variability. The anomalies of surface skin temperature are used to estimate its recent decadal trend. Error estimation and evaluation has been performed and discussed in order to understand the uncertainty in the estimated trends. The trends of IASI global surface skin temperature anomalies are compared with those of the NASA Goddard Institute for Space Studies global surface air temperature anomalies. Despite the physical differences between surface skin and air temperature, reasonable agreement is shown between these two datasets indicating consistency and global surface warming during the past decade. The trend of IASI global surface skin temperature anomaly illustrates that an approximate 0.027°K/yr. global average increase has evolved during a decade long period of June 2007 – April 2018. This decadal warming trend is more pronounced in the northern hemisphere. This work demonstrates the utility of using Earth’s surface skin temperature derived from satellite measurements for monitoring global and regional surface characteristics.

Paper Details

Date Published: 23 October 2018
PDF: 9 pages
Proc. SPIE 10780, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII, 1078005 (23 October 2018); doi: 10.1117/12.2323190
Show Author Affiliations
Daniel K. Zhou, NASA Langley Research Ctr. (United States)
Allen M. Larar, NASA Langley Research Ctr. (United States)
Xu Liu, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 10780:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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