A33L:
Cloud-Aerosol-Precipitation-Climate Interactions over the Southeastern Atlantic I

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Session ID#: 16144

Session Description:
The southeastern Atlantic (SEA) low cloud deck reflects solar radiation and cools the upper ocean, which helps set the Tropical atmospheric circulation. Low clouds and their climate feedbacks are challenging to simulate. The SEA low cloud deck is unique in being overlain by optically thick biomass burning aerosol layers transported from Southern Africa from July-October. Low clouds are susceptible to this aerosol in ways that include radiative impacts on sea-surface temperature, impacts of aerosol absorption on atmospheric heating and relative humidity, and microphysical interactions. The combined impacts on future climate are poorly understood.


Studies are solicited that present new research focused on observation and modeling of the interactions between clouds, aerosol, precipitation and climate over the SEA and other extensive low cloud regions. These include new remote sensing methods to improve our ability to observe aerosols, clouds and mixed scenes, analysis of field experiment data, and process and regional modeling.

Primary Convener:  Robert Wood, University of Washington, Department of Atmospheric Sciences, Seattle, United States
Conveners:  James M. Haywood, Met Office, Exeter, United Kingdom, Jens Redemann, University of Oklahoma, School of Meteorology, Norman, United States and Paquita Zuidema, University of Miami, Rosenstiel School, Department of Atmospheric Sciences, Miami, United States
Chairs:  Jens Redemann, University of Oklahoma, School of Meteorology, Norman, United States and Robert Wood, University of Washington, Department of Atmospheric Sciences, Seattle, United States
OSPA Liaison:  Robert Wood, University of Washington, Department of Atmospheric Sciences, Seattle, United States
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Robert Wood, University of Washington, Department of Atmospheric Sciences, Seattle, United States, Jens Redemann, University of Oklahoma, School of Meteorology, Norman, United States, Paquita Zuidema, University of Miami, Rosenstiel School, Department of Atmospheric Sciences, Miami, United States and ORACLES Science Team
Sebastian Milinski, National Center for Atmospheric Research, Boulder, United States and ORACLES Science Team
Paola Formenti1, Stuart Piketh2, Andreas Namwoonde3, Anais Feron4, Cécile Gaimoz4, Mathieu Cazaunau4, Mattheus Hanghome3, Stephen P Broccardo5, Nicola Walton5, Danitza Klopper5, Roelof Burger6, Karine Virginie Desboeufs4, Guillaume Siour7, Wolfgang Junkermann8 and Willy Maenhaut9, (1)Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS, Créteil, France, (2)North-West University, Unit for Environmental Science and Management, Potchefstroom, South Africa, (3)SANUMARC, University of Namibia, Henties Bay, Namibia, (4)Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583, Universités Paris-Est Créteil et Paris Diderot, Institut Pierre Simon Laplace (IPSL), Créteil, France, (5)North-West University, School of Geo an Spatial Science, Mahikeng, South Africa, (6)North-West University, Unit for Environmental Sciences and Management, Mahikeng, South Africa, (7)Laboratoire Inter-universitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Université Paris-Est Créteil, Université de Paris, Institut Pierre Simon Laplace (IPSL), Créteil, France, (8)Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany, (9)Ghent University, Gent, Belgium
Samuel E LeBlanc1,2, Jens Redemann3, Yohei Shinozuka4, Connor J. Flynn5, Michal Segal-Rozenhaimer6, Meloe S Kacenelenbogen4, Kristina Pistone7, Sebastian Schmidt8 and Sabrina Cochrane9, (1)NASA Ames Research Center, Bay Area Environmental Research Institute, Moffett Field, United States, (2)Bay Area Environmental Research Institute, Moffett Field, United States, (3)University of Oklahoma, School of Meteorology, Norman, United States, (4)Bay Area Environmental Research Institute Sonoma, Sonoma, CA, United States, (5)PNNL, Richland, United States, (6)NASA Ames Research Center, Moffett Field, United States, (7)Bay Area Environmental Research Institute, Moffett Field, CA, United States, (8)University of Colorado at Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States, (9)University of Colorado at Boulder, Boulder, CO, United States
Jessica Brown1, Martin de Graaf2,3, Dave Donovan4, Herman W.J. Russchenberg5 and Karolina Sarna5, (1)Wageningen University and Research Center, Wageningen, Netherlands, (2)Royal Netherlands Meteorological Institute, R&D Satellite Observations, De Bilt, Netherlands, (3)Delft University of Technology, Department of Geoscience and Remote Sensing (GRS), Delft, Netherlands, (4)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (5)Delft University of Technology, Delft, Netherlands
Michal Segal-Rozenhaimer, NASA Ames Research Center, Moffett Field, United States, Kirk D Knobelspiesse, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jens Redemann, University of Oklahoma, School of Meteorology, Norman, United States, Brian Cairns, NASA Goddard Institute for Space Studies, New York, NY, United States and Mikhail D Alexandrov, Columbia University, New York, United States
Martin de Graaf1,2 and Lieuwe G. Tilstra2, (1)Delft University of Technology, Department of Geoscience and Remote Sensing (GRS), Delft, Netherlands, (2)Royal Netherlands Meteorological Institute, R&D Satellite Observations, De Bilt, Netherlands
Julia Fuchs1, Jan Cermak2, Hendrik Andersen3 and Katharina Schwarz1, (1)Ruhr University Bochum, Bochum, Germany, (2)Karlsruhe Institute of Technology, Karlsruhe, Germany, (3)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research (IMK), Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe, Germany