Global surface skin temperature analysis from recent decadal IASI observations

2018 ◽  
Author(s):  
Daniel K. Zhou ◽  
Allen M. Larar ◽  
Xu Liu
Keyword(s):  
Skin Temperature ◽  
Temperature Analysis ◽  
Surface Skin Temperature ◽  
Global Surface

Surface Skin Temperature in Tests for Irritant Dermatitis

2013 ◽  
pp. 383-394
Author(s):  
Miranda A. Farage ◽  
Baiyang Wang ◽  
Kenneth W. Miller ◽  
Howard Maibach
Keyword(s):  
Skin Temperature ◽  
Surface Skin Temperature ◽  
Irritant Dermatitis

Normative surface skin temperature changes due to blood redistribution: A prospective study

2019 ◽  
Vol 80 ◽  
pp. 82-88 ◽  
Author(s):  
Phillip Shilco ◽  
Yulia Roitblat ◽  
Noa Buchris ◽  
Jacob Hanai ◽  
Sabrina Cohensedgh ◽  
...  
Keyword(s):  
Prospective Study ◽  
Skin Temperature ◽  
Temperature Changes ◽  
Surface Skin Temperature ◽  
A Prospective Study ◽  
Blood Redistribution

scholarly journals Effects of Nanpao®, a Kampo Medicine, on Peripheral Blood Flow and Surface Skin Temperature in Aged Female Rats

2009 ◽  
Vol 58 (1) ◽  
pp. 67-71
Author(s):  
Masaru ICHIHASHI ◽  
Hiromi TAKATANI ◽  
Yoshikatsu HASHIMOTO ◽  
Kouji YANO ◽  
Atsuyuki NISHIDA ◽  
...  
Keyword(s):  
Blood Flow ◽  
Skin Temperature ◽  
Peripheral Blood ◽  
Female Rats ◽  
Kampo Medicine ◽  
Peripheral Blood Flow ◽  
Surface Skin Temperature

scholarly journals Toward Improved Validation of Satellite Sea Surface Skin Temperature Measurements for Climate Research

2002 ◽  
Vol 15 (4) ◽  
pp. 353-369 ◽  
Author(s):  
C. J. Donlon ◽  
P. J. Minnett ◽  
C. Gentemann ◽  
T. J. Nightingale ◽  
I. J. Barton ◽  
...  
Keyword(s):  
Skin Temperature ◽  
Sea Surface ◽  
Temperature Measurements ◽  
Climate Research ◽  
Surface Skin Temperature

scholarly journals Global clear-sky surface skin temperature from multiple satellites using a single-channel algorithm with viewing zenith angle correction

2016 ◽  
Author(s):  
Benjamin R. Scarino ◽  
Patrick Minnis ◽  
Thad Chee ◽  
Kristopher M. Bedka ◽  
Christopher R. Yost ◽  
...  
Keyword(s):  
Skin Temperature ◽  
Real Time ◽  
Single Channel ◽  
Weather Prediction ◽  
Surface Radiation ◽  
Earth Orbit ◽  
Viewing Angle ◽  
Clear Sky ◽  
Geo Satellite ◽  
Surface Skin Temperature

Abstract. Surface skin temperature (Ts) is an important parameter for characterizing the energy exchange at the ground/water-atmosphere interface. The Satellite ClOud and Radiation Property retrieval System (SatCORPS) employs a single-channel thermal-infrared- (TIR-) method to retrieve Ts over clear-sky land and ocean surfaces from data taken by geostationary-Earth orbit (GEO) satellite and low-Earth orbit (LEO) satellite imagers. GEO satellites can provide somewhat continuous estimates of Ts over the diurnal cycle in non-polar regions, while polar Ts retrievals from LEO imagers, such as the Advanced Very High Resolution Radiometer (AVHRR) can complement the GEO measurements. The combined global coverage of remotely sensed Ts, along with accompanying cloud and surface radiation parameters, produced in near-real time and from historical satellite data, should be beneficial for both weather and climate applications. For example, near-real-time hourly Ts observations can be assimilated in high-temporal resolution numerical weather prediction models and historical observations can be used for validation or assimilation of climate models. Key drawbacks to the utility of TIR-derived Ts, data include the limitation to clear-sky conditions, the reliance on a particular set of analyses/reanalyses necessary for atmospheric corrections, and the dependence on viewing angle. Therefore, Ts validation with established references is essential, as is proper evaluation of Ts sensitivity to atmospheric correction source. This article presents improvements on the NASA Langley GEO satellite and AVHRR TIR-based Ts product, derived using a single-channel technique. The resulting clear-sky skin temperature values are validated with surface references and independent satellite products. Furthermore, an empirical means of correcting for the viewing-angle dependency of satellite land surface temperature (LST) is explained and validated. Application of a daytime nadir-normalization model yields improved accuracy and precision of GOES-13 LST relative to independent Moderate-resolution Imaging Spectroradiometer (MYD11_L2) LST and Atmospheric Radiation Measurement Program/NOAA ESRL Surface Radiation network ground stations. These corrections serve as a basis for a means to improve satellite-based LST accuracy, thereby leading to better monitoring and utilization of the data. The immediate availability and broad coverage of these skin temperature observations should prove valuable to modelers and climate researchers looking for improved forecasts and better understanding of the global climate model.

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