Constraints on cloud feedback from analysis of ARM observations and models
Over the performance period, the PI and his team performed innovative analyses of surface remote sensing data from the Atmospheric Radiation Measurement (ARM) Program Southern Great Plains, Tropical Western Pacific, and North Slope of Alaska sites to elucidate some of the physical processes underlyi...
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| Language: | unknown |
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2020
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| Online Access: | http://www.osti.gov/servlets/purl/1178045 https://www.osti.gov/biblio/1178045 https://doi.org/10.2172/1178045 |
| Summary: | Over the performance period, the PI and his team performed innovative analyses of surface remote sensing data from the Atmospheric Radiation Measurement (ARM) Program Southern Great Plains, Tropical Western Pacific, and North Slope of Alaska sites to elucidate some of the physical processes underlying cloud feedbacks on anthropogenic climate change. ARM data strongly influenced parameterization evaluation and development in the GISS (Goddard Institute for Space Studies) General Circulation Model (GCM) over this time. In this report we discuss how ARM funding was utilized for data analyses, model evaluation, and cumulus and stratiform cloud parameterization improvements, highlighting especially the areas of low-cloud feedbacks, cloud phase, and convective entrainment and downdrafts. |
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