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An evaluation of operational GOES‐derived single‐layer cloud top heights with ARSCL data over the ARM Southern Great Plains Site
Author(s) -
Smith William L.,
Minnis Patrick,
Finney Heather,
Palikonda Rabindra,
Khaiyer Mandana M.
Publication year - 2008
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2008gl034275
Subject(s) - geology , layer (electronics) , cloud computing , meteorology , climatology , geodesy , remote sensing , geography , computer science , materials science , operating system , composite material
Cloud top heights retrieved from Geostationary Operational Environmental Satellite (GOES) data are evaluated using comparisons to 5 years of surface‐based cloud radar and lidar data taken at the Atmospheric Radiation Measurement (ARM) program's site near Lamont, Oklahoma. Separate daytime and nighttime algorithms developed at NASA Langley Research Center (LaRC) applied to GOES imager data and an operational CO 2 ‐slicing technique applied to GOES sounder data are tested. Comparisons between the daytime, nighttime and CO 2 ‐slicing cloud top heights and the surface retrievals yield mean differences of −0.84 ± 1.48 km, −0.56 ± 1.31 km, and −1.30 ± 2.30 km, respectively, for all clouds. The errors generally increase with increasing cloud altitude and decreasing optical thickness. These results, which highlight some of the challenges associated with passive satellite cloud height retrievals, are being used to guide development of a blended LaRC/CO 2 ‐slicing cloud top height product with accuracies suitable for assimilation into weather forecast models.