Cloud and Precipitation During GoAmazon: The Influence of Aerosol and Thermodynamics.

Tuesday, 15 December 2015: 17:00
3008 (Moscone West)
Luiz Machado1, Micael Cecchin1, Thiago Biscaro1, Wagner Lima1, Alan James P Calheiros1, Rachel I Albrecht2, Jennifer M Comstock3, Beat Schmid3, Fan Mei4, Courtney Schumacher5, Cristiano Eichholz1, Scott E Giangrande6, Jiwen Fan3, Jian Wang7, Manfred Wendisch8, Meinrat O Andreae9, Scot T Martin10, Paulo Artaxo11, Ryan M Thalman6, Daniel Rosenfeld12 and Ulrich Poeschl13, (1)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil, (2)University of Sao Paulo, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Sao Paulo, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Joint Global Change Research Institute, College Park, MD, United States, (5)Texas A & M University College Station, College Station, TX, United States, (6)Brookhaven National Laboratory, Upton, NY, United States, (7)Brookhaven Natl Lab, Upton, NY, United States, (8)University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany, (9)Max Planck Institute for Chemistry, Mainz, Germany, (10)Harvard University, Cambridge, MA, United States, (11)USP University of Sao Paulo, São Paulo, Brazil, (12)Hebrew University of Jerusalem, Jerusalem, Israel, (13)Max Planck Inst. f. Chemistry, Mainz, Germany
The Green Ocean Amazon, GOAmazon, intensive field campaign, hereafter called IOP1 (February-March) and IOP2 (September – October) 2014, was an opportunity for broad and joint campaigns of the CHUVA, IARA and ACRIDICON-CHUVA projects. GOAmazon intends to study how aerosols and surface fluxes influence cloud cycles under clean conditions, as well as how aerosol and cloud life cycles, including cloud-aerosol-precipitation interactions, are influenced by pollutant outflow from a tropical megacity. This study employs the SIPAM S band radar, the X Band dual polarization radar, GOES images, disdrometers, CCN counters, radiosondes and data collected by G1 and HALO airplanes. As ancillary data, we used the Shuttle Radar Topography Mission, the TERRACLASS (INPE) and EVI from MODIS for surface topography, surface type classification and vegetation index, respectively. Cloud and precipitation are studied as function of aerosol concentration as well surface type and thermodynamic properties. Different sensors and space-time scales are employed to compare the life cycle and cloud size distribution using radar and satellite for different atmospheric conditions. For each IOP, the droplet size distribution using the airplanes or the particle size distribution using disdrometers are described discussing the aerosol, thermodynamic, surface type and topography effects on the clouds and precipitation. The typical precipitation behavior, for each IOP, is described using CFADs and reflectivity distributions. For few specific flights, those measuring ice particles, during the wet season (IOP1), some examples and classifications of convective and stratiform clouds are discussed. Finally, the microphysical properties of the clouds are presented using X band dual pol radar hydrometeor classifications and evaluating the effect of aerosol loading on the cloud vertical structure.