Jingjing Tian, Yunyan Zhang, Kevin Knupp, Preston Pangle, Jennifer Comstock
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引用次数: 0
Abstract
Accurate simulations of boundary layer cloud processes remain challenging in Earth system modeling. Observations are essential to evaluate and improve models of such processes. This study introduces a comprehensive validation framework for a satellite-based detection algorithm of continental shallow cumulus (ShCu) clouds during the daytime, which was initially developed using ground-based observations of stereo cameras at the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains site (J. Tian, Zhang, Klein, & Schumacher, 2021, https://doi.org/10.3390/rs13122309, 2022, https://doi.org/10.1029/2021gl097070). To validate this algorithm, the framework employs ground-based ceilometer measurements from North Alabama (NA) where ShCu populations are prevalent. This study first generates clear-sky surface reflectance maps at NA and identifies ShCu pixels with a detection threshold using Geostationary Operational Environmental Satellite (GOES) reflectance data. The obtained cloud fractions (CFs) are then compared against CFs from a ground-based ceilometer, considering factors such as observed area differences, satellite parallax issue, and systematic biases. We found that with a detection threshold (∆R) of 0.05, the ShCu detection algorithm is effective for NA, enabling the reproduction of hourly ShCu CFs using GOES. Our framework is straightforward and easily repeatable to evaluate the effectiveness of a ∆R threshold for detecting ShCu clouds in various geographic regions where ceilometers are deployed. This satellite detection of ShCu provides a crucial regional context for ground-based measurements, facilitating the tracking of convection initiation and its coupling with land surface conditions. Integrating localized ground-based and regional satellite data will enhance our ability to conduct thorough studies of cloud morphology and land-atmosphere interactions in North Alabama.
期刊介绍:
JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.