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contributor authorLiu, Yinghui
contributor authorKey, Jeffrey R.
date accessioned2017-06-09T14:34:36Z
date available2017-06-09T14:34:36Z
date copyright2003/12/01
date issued2003
identifier issn0739-0572
identifier otherams-2202.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4158424
description abstractThe near-surface atmosphere of the polar region is characterized by temperature inversions throughout most of the year. However, radiosonde data are sparse, and numerical weather prediction models have relatively poor vertical resolution for boundary layer studies. A method is developed for detecting and estimating the characteristics of clear-sky, low-level temperature inversions using the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites. The method is based on an empirical relationship between the inversion strength, defined as the temperature difference across the inversion, or depth, defined as the altitude difference, and the difference between brightness temperatures in the 7.2-µm water vapor and 11-µm infrared window bands. Results indicate that inversion strength can be estimated unbiasedly with a root-mean-square error (rmse) of 2°?3°C and an R2 of 0.80?0.97. Inversion depth can be estimated with an rmse of 130?250 m and an R2 of 0.62?0.82. With MODIS, temperature inversions can be observed at a spatial resolution as high as 1 km2 and a temporal sampling of up to 14 times per day, providing an opportunity for detailed studies of the spatial distribution and temporal evolution of the high-latitude boundary layer.
publisherAmerican Meteorological Society
titleDetection and Analysis of Clear-Sky, Low-Level Atmospheric Temperature Inversions with MODIS
typeJournal Paper
journal volume20
journal issue12
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/1520-0426(2003)020<1727:DAAOCL>2.0.CO;2
journal fristpage1727
journal lastpage1737
treeJournal of Atmospheric and Oceanic Technology:;2003:;volume( 020 ):;issue: 012
contenttypeFulltext


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