Analysis and characterization of the synergistic AIRS and MODIS cloud-cleared radiances |
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Authors: | Hong Zhang Hung-Lung Huang Agnes Lim Robert Holz Steve Dutcher Fred Nagle Liam Gumley Jinnian Wang Runhe Shi Wei Gao |
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Affiliation: | (1) Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149-1098, USA;(2) Department of Earth Sciences, Meteorology, Uppsala University, Villav?gen 16, 75236 Uppsala, Sweden |
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Abstract: | The Atmospheric Infrared Sounder (AIRS) and MODerate-Resolution Imaging Spectroradiometer (MODIS) on board NASA Earth Observing System (EOS) Aqua spacecraft measure the upwelling infrared radiance used for numerous remote-sensing- and climate-related applications. AIRS provides high spectral resolution infrared radiances, while MODIS provides collocated high spatial resolution radiances at 16 broad infrared bands. An optimal algorithm for cloud-clearing has been developed for AIRS cloudy soundings at the University of Wisconsin-Madison, where the spatially and spectrally collocated AIRS and MODIS data has been used to analyze the characteristic of this algorithm. An analysis and characterization of the global AIRS cloud-cleared radiances using the bias and the standard deviation between the cloud-cleared and the nearby clear measurements are studied. Scene inhomogeneity for both land- and water-surface types has been estimated to account for the assessed error. Both monthly and seasonal changes of global AIRS/MODIS cloud-clearing performance also have been analyzed. |
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