Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold-Air Outbreak over the Western North Atlantic

Author:

Chen Jingyi1ORCID,Wang Hailong1,Li Xiangyu1,Painemal David23,Sorooshian Armin45,Thornhill Kenneth Lee32,Robinson Claire32,Shingler Taylor3

Affiliation:

1. a Pacific Northwest National Laboratory, Richland, Washington

2. b Science Systems and Applications, Inc., Hampton, Virginia

3. c NASA Langley Research Center, Hampton, Virginia

4. d Department of Chemical and Environmental Engineering, The University of Arizona, Tucson, Arizona

5. e Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, Arizona

Abstract

Abstract Postfrontal clouds (PFC) are ubiquitous in the marine boundary layer, and their morphology is essential to estimating the radiation budget in weather and climate models. Here we examine the roles of sea surface temperature (SST) and meteorological factors in controlling the mesoscale morphology and evolution of shallow clouds associated with a cold-air outbreak that occurred on 1 March 2020 during phase I of the Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment (ACTIVATE). Our results show that the simulated PFC structure and ambient conditions by the Weather Research and Forecasting (WRF) Model are generally consistent with observations from GOES-16 and dropsonde measurements. We also examine the thermodynamical and dynamical influences in the cloud mesoscale morphology using WRF sensitivity experiments driven by two meteorological forcing datasets with different domain-mean SST and spatial gradients, which lead to dissimilar values of hydrometeor water path and cloud core fraction. The SST from ERA5 leads to weaker stability and higher inversion height than the SST from FNL does. In addition, the use of large-scale meteorological forcings from ERA5 yields a distinctive time evolution of wind direction shear in the inner domain, which favors the formation and persistence of longer cloud rolls. Both factors contribute to a change in the time evolution of domain-mean water path and cloud core fraction of cloud streets. Our study takes advantage of the simulation driven by the differences between two large-scale forcing datasets to illustrate the importance of SST and wind direction shear in the cloud street morphology in a realistic scenario.

Funder

National Aeronautics and Space Administration

Publisher

American Meteorological Society

Subject

Atmospheric Science

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