Summertime continental shallow cumulus cloud detection using goes-16 satellite and ground-based stereo cameras at the doe arm southern great plains site
| Autor: | Yunyan Zhang, Stephen A. Klein, David M. Romps, Rusen Oktem, Likun Wang, Jingjing Tian |
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| Rok vydání: | 2021 |
| Předmět: |
Daytime
010504 meteorology & atmospheric sciences Science media_common.quotation_subject Classical Physics 0211 other engineering and technologies 02 engineering and technology 01 natural sciences Physical Geography and Environmental Geoscience stereo camera cloud Geostationary Operational Environmental Satellite GOES-R 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing media_common Pixel Stereo cameras Cloud fraction shallow cumulus clouds Geomatic Engineering Sky General Earth and Planetary Sciences Satellite Advanced Baseline Imager GOES-16 Stereo camera Geology |
| Zdroj: | Remote Sensing, vol 13, iss 12 Remote Sensing, Vol 13, Iss 2309, p 2309 (2021) Remote Sensing Volume 13 Issue 12 |
| Popis: | Summertime continental shallow cumulus clouds (ShCu) are detected using Geostationary Operational Environmental Satellite (GOES)-16 reflectance data, with cross-validation by observations from ground-based stereo cameras at the Department of Energy Atmospheric Radiation Measurement Southern Great Plains site. A ShCu cloudy pixel is identified when the GOES reflectance exceeds the clear-sky surface reflectance by a reflectance detection threshold of ShCu, ΔR. We firstly construct diurnally varying clear-sky surface reflectance maps and then estimate the ∆R. A GOES simulator is designed, projecting the clouds reconstructed by stereo cameras towards the surface along the satellite’s slanted viewing direction. The dynamic ShCu detection threshold ΔR is determined by making the GOES cloud fraction (CF) equal to the CF from the GOES simulator. Although there are temporal variabilities in ΔR, cloud fractions and cloud size distributions can be well reproduced using a constant ΔR value of 0.045. The method presented in this study enables daytime ShCu detection, which is usually falsely reported as clear sky in the GOES-16 cloud mask data product. Using this method, a new ShCu dataset can be generated to bridge the observational gap in detecting ShCu, which may transition into deep precipitating clouds, and to facilitate further studies on ShCu development over heterogenous land surface. |
| Databáze: | OpenAIRE |
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