@Article{WangGiBaHaFeThMa:2018:PrInGo,
author = "Wang, Die and Giangrande, Scott E. and Bartholomew, Mary Jane and
Hardin, Joseph and Feng, Zhe and Thalman, Ryan and Machado, Luiz
Augusto Toledo",
affiliation = "{Brookhaven National Laboratory} and {Brookhaven National
Laboratory} and {Brookhaven National Laboratory} and {Pacific
Northwest National Laboratory} and {Pacific Northwest National
Laboratory} and {Snow College} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "The Green Ocean: precipitation insights from the GoAmazon2014/5
experiment",
journal = "Atmospheric Chemistry and Physics",
year = "2018",
volume = "18",
number = "12",
pages = "9121--9145",
month = "June",
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",
url = "http://dx.doi.org/10.5194/acp-18-9121-2018",
issn = "1680-7316 and 1680-7324",
language = "en",
targetfile = "wang_green.pdf",
urlaccessdate = "27 abr. 2024"
}