@InProceedings{GiangrandeWaMeMaBiEl:2019:PeGoCa,
author = "Giangrande, Scott E. and Wang, Di{\'e} and Mechem, David B. and
Machado, Luiz Augusto Toledo and Biscaro, Thiago Souza and
Elsaesser, Gregory",
affiliation = "{Brookhaven National Laboratory} and {Brookhaven National
Laboratory} and {University of Kansas} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Columbia University/NASA GISS}",
title = "Synoptic and Cloud Regimes Over the Amazon Basin: Perspectives
From the GoAmazon2014/5 Campaign",
year = "2019",
organization = "AGU Fall Meeting",
abstract = "he primary source of uncertainty in global climate model (GCM)
predictions of possible climate change is in the representation of
clouds, cloud processes and associated feedbacks. As home to the
largest tropical rainforest on the planet, the Amazon basin
experiences complex and seasonal cloud conditions that promote
local-scale cloud and precipitation changes, as well as
larger-scale circulation feedbacks. The ongoing inability of GCMs
to represent cloud conditions over this expansive tropical area
recently motivated the 2-year US Department of Energy (DOE)
Atmospheric Radiation Measurement (ARM) Observations and Modeling
of the Green Ocean Amazon (GoAmazon2014/5) campaign. As part of
this effort, ARM deployed its Mobile Facility (AMF) to the west of
Manaus, Brazil in the central Amazon. The facility was equipped to
continuously capture thermodynamic state, aerosol, cloud and
precipitation properties in this unique location.",
conference-location = "San Francisco, CA",
conference-year = "09-13 dec.",
language = "en",
targetfile = "giangrande_synoptic.pdf",
urlaccessdate = "01 maio 2024"
}