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Title: The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment

Abstract

Abstract. This study summarizes the precipitation properties collected during the GoAmazon2014/5 campaign near Manaus in central Amazonia, Brazil. Precipitation breakdowns, summary radar rainfall relationships and self-consistency concepts from a coupled disdrometer and radar wind profiler measurements are presented. The properties of Amazon cumulus and associated stratiform precipitation are discussed, including segregations according to seasonal (wet or dry regime) variability, cloud echo-top height and possible aerosol influences on the apparent oceanic characteristics of the precipitation drop size distributions. Overall, we observe that the Amazon precipitation straddles behaviors found during previous U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program tropical deployments, with distributions favoring higher concentrations of smaller drops than ARM continental examples. Oceanic-type precipitation characteristics are predominantly observed during the Amazon wet seasons. An exploration of the controls on wet season precipitation properties reveals that wind direction, compared with other standard radiosonde thermodynamic parameters or aerosol count/regime classifications performed at the ARM site, provides a good indicator for those wet season Amazon events having an oceanic character for their precipitation drop size distributions.

Authors:
 [1]; ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [2];  [3]; ORCiD logo [4]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Snow College, Richfield, UT (United States)
  4. National Institute for Space Research, São José dos Campos (Brazil)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1544101
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 18; Journal Issue: 12; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences

Citation Formats

Wang, Die, Giangrande, Scott E., Bartholomew, Mary Jane, Hardin, Joseph, Feng, Zhe, Thalman, Ryan, and Machado, Luiz A. T. The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment. United States: N. p., 2018. Web. doi:10.5194/acp-18-9121-2018.
Wang, Die, Giangrande, Scott E., Bartholomew, Mary Jane, Hardin, Joseph, Feng, Zhe, Thalman, Ryan, & Machado, Luiz A. T. The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment. United States. doi:10.5194/acp-18-9121-2018.
Wang, Die, Giangrande, Scott E., Bartholomew, Mary Jane, Hardin, Joseph, Feng, Zhe, Thalman, Ryan, and Machado, Luiz A. T. Fri . "The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment". United States. doi:10.5194/acp-18-9121-2018. https://www.osti.gov/servlets/purl/1544101.
@article{osti_1544101,
title = {The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment},
author = {Wang, Die and Giangrande, Scott E. and Bartholomew, Mary Jane and Hardin, Joseph and Feng, Zhe and Thalman, Ryan and Machado, Luiz A. T.},
abstractNote = {Abstract. This study summarizes the precipitation properties collected during the GoAmazon2014/5 campaign near Manaus in central Amazonia, Brazil. Precipitation breakdowns, summary radar rainfall relationships and self-consistency concepts from a coupled disdrometer and radar wind profiler measurements are presented. The properties of Amazon cumulus and associated stratiform precipitation are discussed, including segregations according to seasonal (wet or dry regime) variability, cloud echo-top height and possible aerosol influences on the apparent oceanic characteristics of the precipitation drop size distributions. Overall, we observe that the Amazon precipitation straddles behaviors found during previous U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program tropical deployments, with distributions favoring higher concentrations of smaller drops than ARM continental examples. Oceanic-type precipitation characteristics are predominantly observed during the Amazon wet seasons. An exploration of the controls on wet season precipitation properties reveals that wind direction, compared with other standard radiosonde thermodynamic parameters or aerosol count/regime classifications performed at the ARM site, provides a good indicator for those wet season Amazon events having an oceanic character for their precipitation drop size distributions.},
doi = {10.5194/acp-18-9121-2018},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 12,
volume = 18,
place = {United States},
year = {2018},
month = {6}
}

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Cited by: 6 works
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    • Atmospheric Chemistry and Physics, Vol. 16, Issue 8
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