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A Comparison of High Spectral Resolution Infrared Cloud Boundary Algorithms using S-HIS and AERI Measurements

Holz, R.E.(a), Antonelli, P.(a), Ackerman, S.(a), McGill, M.J.(a), Nagel, F.(a), Feltz, W.F.(a), and Turner, D.D.(b), Univeristy of Wisconsin, Madison (a), Pacific Northwest National Laboratory (b)
Fourteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting

Cloud top pressure is an important parameter in determining the radiative impact of clouds on climate. In addition, atmospheric temperature and moister retrievals of cloudy scenes using high spectral resolution data require the cloud altitude be known. The S-HIS is scheduled to fly on the Proteus during the upcoming M-PACE experiment. In addition to the SHIS a lidar system and an imager will accompany the SHIS during MPACE. This paper will present a detailed analysis of high spectral resolution cloud top pressure retrievals using S-HIS data from THORPEX and TX2002 field experiments. The analysis will focus on CO2 slicing, MLEV (Minimum Local Emissivity Variance), and CO2 sorting cloud top retrieval algorithms. CO2 sorting is a new cloud top algorithm that will be used in conjunction with CO2 slicing. The paper will include validation using the Cloud Physics Lidar (CPL) and the MAS (Modis Airborne Simulator). In the future we plan to apply the algorithms to satellite based high spectral resolution instruments.

Note: This is the poster abstract presented at the meeting; an extended version was not provided by the author(s).