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A suite of radar-lidar-radiometer cirrus retrieval algorithms for the combined cloudsat, calipso, and aqua datastreams; development and initial results. Yuying Zhang, Jay Mace (University of Utah), Ping Yang (Texas A&M University). Data provided by: Gerry Heymsfield, Matt McGill, Andy Heymsfield.
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A suite of radar-lidar-radiometer cirrus retrieval algorithms for the combined cloudsat, calipso, and aqua datastreams; development and initial results Yuying Zhang, Jay Mace (University of Utah), Ping Yang(Texas A&M University) Data provided by: Gerry Heymsfield, Matt McGill, AndyHeymsfield
The A-Train ?/05 ?/07 12/02 3/05 1/04 Slide Courtesy Graeme Stephens Cloud observations in the near future
II. Retrieval algorithms X X X X X X X X X
II. Retrieval algorithms 2. Forward model Qabs fitted Yang et al. 2003 empirical relation
II. Retrieval algorithms 3. Optimal estimation framework (Rodgers, 1976; Rodgers, 2002)
IV. Case Study CRYSTAL-FACE July 26 2002
Courtesy G.Heymsfield Courtesy G.Heymsfield& M. McGill Courtesy G.Heymsfield& S. Platnick
Avalone et al. Weinstock et al. 2002
MOD06 Cloud Products compare with lidar-Radiometer retrievals MOD06 (King et al. 1997) retrieval Optical thickness
IV. Summary • A major advantage of the A-Train: use multiple data streams for cloud property retrieval Goal: develop an algorithm suite to exploit this resource • From IWC comparison with WB57, the lidar-radiometer algorithm is able to retrieve reliable microphysical properties • Retrieval algorithms are sensitive to empirical constants • In future, use radar and lidar profiles to retrieve vertical structure of cirrus clouds
Aqua MODIS Passive radiometer scattered and emitted radiance Integral constraint Algorithm development Radiance emissivity CO2 channel (Wylie and Menzel, 1989; Wylie et al., 1994; Liou, 2002)
CloudSat Radar Millimeter radar Vertical profile of Ze
CALIPSO • Optical lidar • Vertical profile of attenuated backscatter Lidar signal cloud layer transmissivity (Mitrescu and Stephens, 2002; Young 1995) Height (km) Lidar signal