Analysis and characterization of the synergistic AIRS and MODIS cloud-cleared radiances

Hong Zhang1, Hung-Lung Huang2,1, Agnes Lim1, Robert Holz1, Steve Dutcher1, Fred Nagle1, Liam Gumley1, Jinnian Wang3, Runhe Shi2, Wei Gao4,2
1Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin, Madison, USA
2Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai, China
3Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China
4Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, USA

Tóm tắt

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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Tài liệu tham khảo

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