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Frontiers of Earth Science

Front. Earth Sci.    2010, Vol. 4 Issue (3) : 363-373     DOI: 10.1007/s11707-010-0023-7
Research articles |
Analysis and characterization of the synergistic AIRS and MODIS cloud-cleared radiances
Hong ZHANG1,Agnes LIM1,Robert HOLZ1,Steve DUTCHER1,Fred NAGLE1,Liam GUMLEY1,Hung-Lung HUANG2,Jinnian WANG3,Runhe SHI4,Wei GAO5,
1.Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706-1323, USA; 2.Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706-1323, USA;Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China; 3.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100864, China; 4.Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China; 5.Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China;Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1062, USA;
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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.
Keywords cloud-clearing      Atmospheric Infrared Sounder (AIRS)      MODerate-Resolution Imaging Spectroradiometer (MODIS)      
Issue Date: 05 September 2010
 Cite this article:   
Hong ZHANG,Agnes LIM,Robert HOLZ, et al. Analysis and characterization of the synergistic AIRS and MODIS cloud-cleared radiances[J]. Front. Earth Sci., 2010, 4(3): 363-373.
 URL:  
http://journal.hep.com.cn/fesci/EN/10.1007/s11707-010-0023-7
http://journal.hep.com.cn/fesci/EN/Y2010/V4/I3/363
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Hong ZHANG
Agnes LIM
Robert HOLZ
Steve DUTCHER
Fred NAGLE
Liam GUMLEY
Hung-Lung HUANG
Jinnian WANG
Ackerman S A, Strabala K I, Menzel W P, Frey R A, Moeller C C, Gumley L E(1998). Discriminatingclear sky from clouds with MODIS. J Geophys.Research-Atmospheres, 103 (D24): 32141―32157

doi: 10.1029/1998JD200032
Aumann H H, Chahine M T, Gautier C, Goldberg M D, Kalnay E, McMillin L M, Revercomb H, Rosenkranz P W, Smith W L, Staelin D H, Strow L L, Susskind J(2003). AIRS/AMSU/HSB onthe Aqua mission: design, science objectives, data products, and processingsystems. IEEE Trans Geosci Rem Sens, 41 (2): 253―264

doi: 10.1109/TGRS.2002.808356
Huang H L, Gumley L E, Strabala K, Li J, Weisz E, Rink T, Baggett K C, Davies J E, Smith W L, Dodge J C(2004). International MODIS and AIRS Processing Package (IMAPP): A directbroadcast software for the NASA earth Observing System. Bull Am Meteorol Soc, 85 (2): 159―161

doi: 10.1175/BAMS-85-2-159
Huang H L, Smith W L(2004). Apperception of clouds in AIRS data. ProceedingECMWF Workshop on Assimilation of High Spectral Resolution Sounderin NWP, June 28―July 1, 2004, 155―169
Li J, Huang H L, Liu C Y, Weisz E, Guan Li, Yang P, Wei H L, Schmit T J, Menzel W P(2005a). Retrieval of cloud microphysical properties from MODISand AIRS. J Appl Meteorol, 44 (10): 1526―1543

doi: 10.1175/JAM2281.1
Li J, Liu C Y, Huang H L, Schmit T J, Wu X B, Menzel W P, Gurka J J(2005b). Optimal cloud-clearing for AIRS radiances using MODIS. IEEE Trans Geosci Rem Sens, 43 (6): 1266―1278

doi: 10.1109/TGRS.2005.847795
Li J, Menzel W P, Sun F, Schmit T J, Gurka J(2004). AIRS sub-pixel cloud characterization using MODIS cloud products. J Appl Meteorol, 43 (8): 1083―1109

doi: 10.1175/1520-0450(2004)043<1083:ASCCUM>2.0.CO;2
Smith W L, Zhou D K, Huang H L, Li J, Liu X, Larar A M(2004). Extraction of profile informationfrom cloud contaminated radiances. Proc.ECMWF Workshop on Assimilation of High Spectral Resolution Sounderin NWP, June28―July1, 2004, 145―154
Tobin D C, Revercomb H E, Moller C C, Knuteson R O, Best F A, Smith W L, van Delst P, LaPorte D D, Ellington S D, Werner M D(2004). Validation of Atmospheric InfraRed Sounder (AIRS) spectralradiances with the S-HIS aircraft instrument. Remote Sensing of Cloud and the Atmosphere IX, Proceedings of SPIE5571, 1315Sepetember2004, Maspalomas,Gran Canaria, Spain
Zhang Z B, Yang P, Kattawar G, Huang H L, Greenwald T, Li J, Baum B, Zhou D K, Hu Y(2006). A Fast Infrared Radiative Transfer Model Based on theAdding-Doubling Method for Hyperspectral Remote Sensing Applications. J Quantitative Spectroscopy & Radiative Transfer (in press)
Zhang H, Huang H L, Li J, Weisz E, Baggett K, Liu C Y(2007). Global Analysis and Characterization of AIRS/MODIS Cloud-Clearing. IUGG, July213, 2007, Perugia, Italy
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