Title :
Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The K-Coefficient Approach Using Cloud-Cleared Radiances as Input
Author :
Ou, S.S.C. ; Kahn, B.H. ; Kuo-Nan Liou ; Takano, Yuta ; Schreier, M.M. ; Qing Yue
Author_Institution :
Joint Inst. for Regional Earth Syst. Sci. & Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
We have developed a k-coefficient retrieval approach for Atmospheric Infrared Sounder (AIRS) observations, using AIRS cloud-cleared radiances (ACCRs) as input. This new approach takes advantage of the available ACCR, reduces computational expense, offers an efficient and accurate cirrus cloud retrieval alternative for hyperspectral infrared (IR) observations, and is potentially applicable to the compilation of a long-term cirrus cloud climatology from hyperspectral IR observations. The retrieval combines a lookup-table method coupled to a residual minimization scheme using observed cloudy and cloud-cleared AIRS radiances as input. Six AIRS channels between 766 and 832 cm-1 with minimal water vapor absorption/emission have been selected, and their spectral radiances have been demonstrated to be sensitive to both cirrus cloud optical depth (τc) and ice crystal effective particle size (De). The capability of the k-coefficient approach is demonstrated by comparison with a more accurate retrieval program, which combines the delta-four stream (D4S) approximation with the currently operational Stand-alone AIRS Radiative Transfer Algorithm (SARTA). The distribution patterns and the range of retrieved cloud parameters from the k-coefficient approach are nearly identical to those from SARTA+D4S retrievals, with minor differences traced to uncertainties in parameterized cloudy radiances in the k-coefficient approach and in the ACCR. The k -coefficient approach has also been applied to four AIRS granules over North Central China, Mongolia, and Siberia containing a significant presence of cirrus clouds, and its results are quantitatively compared to simultaneous Moderate Resolution Imaging Spectroradiometer/Aqua cirrus cloud retrievals. Finally, AIRS retrieved τc and De are consistent with the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and CloudSat derived- values for semitransparent cirrus clouds, with more significant differences in thicker cirrus and multilayer clouds.
Keywords :
atmospheric humidity; atmospheric optics; atmospheric radiation; atmospheric techniques; clouds; geophysical image processing; image retrieval; radiometry; remote sensing by laser beam; Aqua; CALIPSO derived values; CloudSat derived values; Moderate Resolution Imaging Spectroradiometer; Mongolia; North Central China; Siberia; atmospheric infrared sounder; cirrus cloud climatology; cirrus cloud optical depth; cirrus cloud properties; cloud-cleared radiances; delta-four stream approximation; hyperspectral infrared observations; ice crystal effective particle size; k-coefficient approach; k-coefficient retrieval approach; lookup-table method; multilayer clouds; residual minimization scheme; semitransparent cirrus clouds; stand-alone AIRS radiative transfer algorithm; water vapor absorption; water vapor emission; Atmospheric modeling; Clouds; Crystals; Ice; Integrated optics; Optical scattering; Optical sensors; $delta$-four stream (D4S) method; $k$-coefficient approach; Atmospheric Infrared Sounder (AIRS); Moderate Resolution Imaging Spectroradiometer (MODIS); Stand-alone AIRS Radiative Transfer Algorithm (SARTA); cirrus clouds; cloud-cleared radiances; ice crystal mean effective diameter; optical depth; satellite remote sensing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2205261