- Related Research Areas
- Climate Variability & Change
In order to accurately measure the topographic changes of sea ice and ice sheets, we need to understand the effect of clouds (including undetected clouds) on range delay. To meet the ICESat-II mission science requirements, we have to be confident that the telescope FOV is small enough to keep the range bias caused by cloud forward scattering below a certain threshold dictated by the requirements. The choice of FOV is related to laser footprint size. Our group at NASA GSFC is one of only a few dedicated to 3D cloud radiation modeling with knowledge and expertise in both passive and active atmospheric remote sensing. Based on our earlier experience with ICESat as well as with MODIS and ARM data, we propose to address this problem using the following major steps: - collect cloud statistics from ICESat, CALIPSO and MODIS; - obtain cloud microphysical model and scattering phase function; - apply statistical analyses to available surface topographic data to generate realizations of a stochastic surface reflectance model; - use 3D radiative transfer models to calculate range delay as a function of the telescope FOV; - model cloud horizontal variability to interpret correctly cross-track measurements.
Project PI: Alexander Marshak/NASA Goddard Space Flight Center
NASA GSFC, Code 613.2, Greenbelt, MD 20771.
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