Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment

Author(s):Show less -

Giangrande, Scott E. ^[1] ; Feng, Zhe ^[2] ; Jensen, Michael P. ^[1] ; Comstock, Jennifer M. ^[1] ; Johnson, Karen L. ^[1] ; Toto, Tami ^[1] ; Wang, Meng ^[1] ; Burleyson, Casey ^[2] ; Bharadwaj, Nitin ^[2] ; Mei, Fan ^[2] ; Machado, Luiz A. T. ^[3] ; Manzi, Antonio O. ^[4] ; Xie, Shaocheng ^[5] ; Tang, Shuaiqi ^[5] ; Silva Dias, Maria Assuncao F. ^[6] ; de Souza, Rodrigo A. F. ^[7] ; Schumacher, Courtney ^[8] ; Martin, Scot T. ^{[9, 10]}

Affiliation

^[1] Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 - USA

^[2] Pacific Northwest Natl Lab, Richland, WA - USA

^[3] Natl Inst Space Res, Sao Jose Dos Campos - Brazil

^[4] Natl Inst Amazonian Res, Manaus, Amazonas - Brazil

^[5] Lawrence Livermore Natl Lab, Livermore, CA - USA

^[6] Univ Sao Paulo, Dept Atmospher Sci, Sao Paulo - Brazil

^[7] State Univ Amazonas UEA, Meteorol, Manaus, Amazonas - Brazil

^[8] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 - USA

^[9] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 - USA

^[10] Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 - USA

• Document type: Journal article
• Source: Atmospheric Chemistry and Physics; v. 17, n. 23, p. 14519-14541, DEC 6 2017.
• Web of Science Citations: 12

Abstract

Routine cloud, precipitation and thermodynamic observations collected by the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) and Aerial Facility (AAF) during the 2-year US Department of Energy (DOE) ARM Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) campaign are summarized. These observations quantify the diurnal to large-scale thermodynamic regime controls on the clouds and precipitation over the undersampled, climatically important Amazon basin region. The extended ground deployment of cloud-profiling instrumentation enabled a unique look at multiple cloud regimes at high temporal and vertical resolution. This longer-term ground deployment, coupled with two short-term aircraft intensive observing periods, allowed new opportunities to better characterize cloud and thermodynamic observational constraints as well as cloud radiative impacts for modeling efforts within typical Amazon ``wet{''} and ``dry{''} seasons. (AU)

• FAPESP's process: 09/15235-8 - Cloud processes of the main precipitation systems in Brazil: a contribution to cloud resolving modeling and to the GPM (Global Precipitation Measurement)
• Grantee: Luiz Augusto Toledo Machado
• Support Opportunities: Research Projects - Thematic Grants