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Title: Cloud System Evolution in the Trades (CSET): Following the Evolution of Boundary Layer Cloud Systems with the NSF–NCAR GV

Journal Article · · Bulletin of the American Meteorological Society
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  1. Univ. of Miami, Miami, FL (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Univ. of Washington, Seattle, WA (United States)
  4. Univ. of Wisconsin–Madison, Madison, WI (United States)
  5. Michigan Technological Univ., Houghton, MI (United States)
  6. Emory Univ., Atlanta, GA (United States)
  7. Univ. of Hawai‘i at Mānoa, Honolulu, HI (United States)
  8. Max Planck Institute of Chemistry, Mainz, Germany
  9. Science Systems and Applications, Inc., Lanham, MD (United States); NASA Langley Research Center, Hampton, VA (United States)
  10. NCAR, Boulder, CO (United States)
  11. Univ. of Colorado Boulder, Boulder, CO (United States)
+ Show Author Affiliations

The Cloud System Evolution in the Trades (CSET) study was designed to describe and explain the evolution of the boundary layer aerosol, cloud, and thermodynamic structures along trajectories within the North Pacific trade winds. The study centered on seven round trips of the National Science Foundation–National Center for Atmospheric Research (NSF–NCAR) Gulfstream V (GV) between Sacramento, California, and Kona, Hawaii, between 7 July and 9 August 2015. The CSET observing strategy was to sample aerosol, cloud, and boundary layer properties upwind from the transition zone over the North Pacific and to resample these areas two days later. Global Forecast System forecast trajectories were used to plan the outbound flight to Hawaii with updated forecast trajectories setting the return flight plan two days later. Two key elements of the CSET observing system were the newly developed High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Cloud Radar (HCR) and the high-spectral-resolution lidar (HSRL). Together they provided unprecedented characterizations of aerosol, cloud, and precipitation structures that were combined with in situ measurements of aerosol, cloud, precipitation, and turbulence properties. The cloud systems sampled included solid stratocumulus infused with smoke from Canadian wildfires, mesoscale cloud–precipitation complexes, and patches of shallow cumuli in very clean environments. Ultraclean layers observed frequently near the top of the boundary layer were often associated with shallow, optically thin, layered veil clouds. In conclusion, the extensive aerosol, cloud, drizzle, and boundary layer sampling made over open areas of the northeast Pacific along 2-day trajectories during CSET will be an invaluable resource for modeling studies of boundary layer cloud system evolution and its governing physical processes.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Atmospheric System Research
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1509996
Journal Information:
Bulletin of the American Meteorological Society, Journal Name: Bulletin of the American Meteorological Society Journal Issue: 1 Vol. 100; ISSN 0003-0007
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (5)

Sugar, gravel, fish and flowers: Mesoscale cloud patterns in the trade winds
  • Stevens, Bjorn; Bony, Sandrine; Brogniez, Hélène
  • Quarterly Journal of the Royal Meteorological Society, Vol. 146, Issue 726 https://doi.org/10.1002/qj.3662
journal November 2019
Single‐Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer journal August 2019
Fine-Scale Droplet Clustering in Atmospheric Clouds: 3D Radial Distribution Function from Airborne Digital Holography journal November 2018
Sugar, gravel, fish and flowers: Mesoscale cloud patterns in the trade winds text January 2020
The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD) journal January 2019

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