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Title: Observations and Modeling of the Green Ocean Amazon: Sounding Enhancement Field Campaign Report

The goal of this campaign was to provide higher temporal sampling of the vertical structure of the atmosphere during the two intensive observational periods (IOPs) of the GoAmazon 2014/15 campaign. The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s first ARM Mobile Facility (AMF1) baseline launches for 2014 and 2015 was 4 sondes/day at 2 am, 8 am, 2 pm, and 8 pm local time (LT) (6, 12, 18 and 0 Coordinated Universal Time [UTC]). However, rapid changes in boundary layer and free tropospheric temperature, humidity, and wind profiles happen throughout the diurnal cycle over Manaus, Brazil's complex forest canopy with resulting responses in aerosol, cloud, and precipitation characteristics. This campaign increased sampling to 5 sondes/day for the 2014 wet and dry season IOPs by adding a launch at 11 am (15 UTC) to capture rapid changes in boundary layer properties and convective cloud growth during that time. The extra launch also corresponded to the time of day the ARM Gulfstream (G-1) and German HALO aircraft most often flew, thus providing useful measurements of the large-scale environment during the flights. In addition, the extra launch will significantly add to the quality of AMF1 instrument retrievals andmore » variational analysis forcing data set during the IOPs.« less
  1. Texas A & M Univ., College Station, TX (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Technical Report
DOE ARM Climate Research Facility, Pacific Northwest National Laboratory, Richland, WA
Research Org:
DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Contributing Orgs:
Texas A&M University, Brazilian Government, Max Planck Society, Deutsche Forschungsgesellschaft, German Aerospace Center, Harvard University
Country of Publication:
United States
54 ENVIRONMENTAL SCIENCES boundary layer properties, Amazon, convective cloud growth, climate models, convective available potential energy