Large-scale satellite data are critical for both verifying and improving general circulation model parameterizations of clouds and radiation for climate prediction. For reliable application of satellite data sets in cloud processes and climate models, it is important to have a reasonable estimate of the errors in the derived cloud properties. The daytime single-layered low-level cloud properties retrieved by the Geostationary Operational Environmental Satellite system (GOES) are compared with ground-based observations and retrievals over the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Central Facility from June 1998 to December 2006. The GOES retrievals are made via the Visible-Infrared Solar-infrared Split-window Technique. They are spatially averaged within a 0.15° × 0.15° box centered on the ARM SGP site, and the ARM surface observations are temporally averaged ±15 min around the GOES scans to produce collocated pairs. Comparisons are made for monthly means, diurnal means, and one-to-one GOES and ARM collocated pairs. GOES Teff is highly correlated with ARM Ttop cloud temperature, having an R2 value of 0.75, though GOES exhibits a cold bias. GOES-retrieved τ and liquid water path have very good agreement with ARM retrievals with R2s of 0.45 and 0.47, while re (GOES), on average, is about 2 μm greater than ARM re. An examination of solar and viewing geometry has shown that GOES-retrieved mean re and τ values are impacted by solar zenith angle and especially scattering angle, which is not unexpected and needs to be accounted for by users.
McHardy, Theodore M., et al. "Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements." Journal of Geophysical Research: Atmospheres, vol. 123, no. 15, Jul. 2018. https://doi.org/10.1029/2018jd028911
McHardy, Theodore M., Dong, Xiquan, Xi, Baike, et al., "Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements," Journal of Geophysical Research: Atmospheres 123, no. 15 (2018), https://doi.org/10.1029/2018jd028911
@article{osti_1539763,
author = {McHardy, Theodore M. and Dong, Xiquan and Xi, Baike and Thieman, Mandana M. and Minnis, Patrick and Palikonda, Rabindra},
title = {Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements},
annote = {Large-scale satellite data are critical for both verifying and improving general circulation model parameterizations of clouds and radiation for climate prediction. For reliable application of satellite data sets in cloud processes and climate models, it is important to have a reasonable estimate of the errors in the derived cloud properties. The daytime single-layered low-level cloud properties retrieved by the Geostationary Operational Environmental Satellite system (GOES) are compared with ground-based observations and retrievals over the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Central Facility from June 1998 to December 2006. The GOES retrievals are made via the Visible-Infrared Solar-infrared Split-window Technique. They are spatially averaged within a 0.15° × 0.15° box centered on the ARM SGP site, and the ARM surface observations are temporally averaged ±15 min around the GOES scans to produce collocated pairs. Comparisons are made for monthly means, diurnal means, and one-to-one GOES and ARM collocated pairs. GOES Teff is highly correlated with ARM Ttop cloud temperature, having an R2 value of 0.75, though GOES exhibits a cold bias. GOES-retrieved τ and liquid water path have very good agreement with ARM retrievals with R2s of 0.45 and 0.47, while re (GOES), on average, is about 2 μm greater than ARM re. An examination of solar and viewing geometry has shown that GOES-retrieved mean re and τ values are impacted by solar zenith angle and especially scattering angle, which is not unexpected and needs to be accounted for by users.},
doi = {10.1029/2018jd028911},
url = {https://www.osti.gov/biblio/1539763},
journal = {Journal of Geophysical Research: Atmospheres},
issn = {ISSN 2169-897X},
number = {15},
volume = {123},
place = {United States},
publisher = {American Geophysical Union},
year = {2018},
month = {07}}