A111
Reducing uncertainty in aerosol effects on climate

Session ID#: 76712

Session Description:
Large uncertainty in the radiative forcing of anthropogenic aerosols has persisted through all IPCC assessment reports since 1995.  This session invites submissions that address the causes of uncertainty and methodologies to reduce the uncertainty through process-based model evaluation and constraint of model simulations using observations of aerosols, clouds and radiation. We welcome studies that explore novel ways of integrating model and observation data to narrow the uncertainty in multi-model or single-model simulations. Also welcome are studies that use process-based observations and/or higher-resolution models to develop an understanding of aerosol effects on climate and ways to improve large-scale models.
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0320 Cloud physics and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]

Primary Convener:  Ken S Carslaw, University of Leeds, Leeds, LS2, United Kingdom
Conveners:  Johannes Mulmenstadt, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany and Matthew Christensen, University of Oxford, Oxford, United Kingdom
Primary Liaison:  Ken S Carslaw, University of Leeds, Leeds, LS2, United Kingdom
 
A New Proxy for Cloud Condensation Nuclei from Polarization Measurements and its Use for Quantifying Aerosol-Cloud Interactions (490684)
Otto P. Hasekamp, SRON Netherlands Institute for Space Research, Utrecht, Netherlands, Edward Gryspeerdt, University of Leipzig, Leipzig, Germany and Johannes Quaas, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany
 
Weak Average Response of Liquid Cloud Water to Anthropogenic Aerosols (493072)
Nicolas Bellouin, University of Reading, Department of Meteorology, Reading, United Kingdom, Velle Toll, University of Reading, Reading, United Kingdom, Johannes Quaas, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany and Matthew Christensen, University of Oxford, Oxford, United Kingdom
 
A Global-Scale In Situ Dataset of Aerosol Properties to Constrain Models: Results from the Atmospheric Tomography Mission (ATom) (495123)
Charles A Brock1, Agnieszka Kupc2, Christina Williamson3, Karl D Froyd4, Gregory P Schill4, Daniel M Murphy5, Jose L Jimenez6, Pedro Campuzano-Jost7, Bernadett Weinzierl8, Maximilian Dollner9, Joshua Peter Schwarz10, Joseph M Katich11, Jack E Dibb12, Glenn S Diskin13 and Thaopaul V Bui14, (1)NOAA Boulder, Boulder, CO, United States, (2)University of Vienna, Faculty of Physics, Vienna, Austria, (3)NOAA/CIRES, Boulder, United States, (4)NOAA/CIRES, Boulder, CO, United States, (5)Earth System Research Laboratory, CSD, Boulder, CO, United States, (6)University of Colorado at Boulder, Department of Chemistry, Boulder, CO, United States, (7)University of Colorado at Boulder, Department of Chemistry and Biochemistry, Boulder, CO, United States, (8)Centreville, MD, United States, (9)Los Alamos, NM, United States, (10)NOAA ESRL, Boulder, CO, United States, (11)CIRES, Boulder, CO, United States, (12)Univ New Hampshire, Durham, NH, United States, (13)NASA Langley Research Ctr, Hampton, VA, United States, (14)NASA Ames Research Center, Moffett Field, CA, United States
 
Evaluation of the particle light scattering enhancement factor within six climate models using surface-based in-situ measurements (496479)
Maria Ángeles Burgos Simón, Stockholm, Sverige, Sweden, Gloria Titos, Andalusian Insitute for Earth System Research, Granada, Spain, Elisabeth Andrews, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Huisheng Bian, NASA Goddard Space Flight Ctr, Greenbelt, MD, United States, Virginie Buchard, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Gabriele Curci, University of L'Aquila, CETEMPS, Department of Physical and Chemical Sciences, L'Aquila, Italy, Alf Kirkevag, Norwegian Meteorological Institute, Section for Climate Modelling and Air Pollution, Oslo, Norway, Hitoshi Matsui, Nagoya University, Nagoya, Japan, Cynthia A Randles, ExxonMobil Research and Engineering Company, Annandale, NJ, United States, Kai Zhang, Pacific Northwest National Lab, Richland, WA, United States and Paul Zieger, Stockholm University, ACES, Stockholm, Sweden
 
Quantifying biases in aerosol-cloud-radiation interactions associated with spatiotemporal averaging (496801)
Graham Feingold, NOAA Boulder, Boulder, CO, United States and Tom Goren, NOAA/CIRES, Boulder, CO, United States; NOAA, Boulder, United States
 
Searching for signals of dominant aerosol-cloud interactions with global datasets (499356)
Lazaros Oreopoulos1, Nayeong Cho1 and Dongmin Lee2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Morgan State University, Baltimore, MD, United States
 
Aerosol-cloud interactions from combined observations with geostationary and polar-orbiting sensors (501867)
Matthias Tesche1, Torsten Seelig1, Fani Alexandri1, Johannes Quaas2 and Goutam Choudhury1, (1)University of Leipzig, Leipzig, Germany, (2)University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany
 
Aerosol-climate interactions at the local scale are strongly modulated by the biophysical properties of the underlying land surface (503089)
Tirthankar Chakraborty, Yale University, New Haven, CT, United States and Xuhui Lee, Yale University, School of Forestry and Environmental Studies, New Haven, CT, United States
 
Using Hemispheric Contrasts in Satellite-Derived Cloud Microphysical Properties to Constrain Aerosol Forcing (Invited) (525752)
Isabel Louise McCoy1, Daniel T McCoy2, Robert Wood1, Leighton Anunda Regayre2, Dan Grosvenor2, Jane Patricia Mulcahy3, Yongxiang Hu4, Frida Bender5, Paul Field6, Ken S Carslaw7 and Hamish Gordon2, (1)University of Washington, Seattle, WA, United States, (2)University of Leeds, Leeds, United Kingdom, (3)Met Office Hadley Centre for Climate Change, Exeter, United Kingdom, (4)NASA Langley Research Center, Hampton, VA, United States, (5)Stockholm University, Stockholm, Sweden, (6)United Kingdom Met Office, Exeter, United Kingdom, (7)University of Leeds, Leeds, LS2, United Kingdom
 
Observationally Constrained estimates of Aerosol first and second Indirect Radiative Forcing over the Indian Ocean. (535164)
Sofiya Rao, Indian Institute of Technology Delhi, New Delhi, India and Sagnik Dey, IIT Delhi, New Delhi, India
 
Constraining aerosol radiative forcing using remote marine aerosol measurements (535300)
Leighton Regayre1, Jill S Johnson2, Julia Schmale3, Christian Tatzelt4, Silvia Henning4, Andrea Baccarini5, Masaru Yoshioka6, Kirsty Pringle6, Martin Gysel7 and Ken S Carslaw1, (1)University of Leeds, Leeds, LS2, United Kingdom, (2)University of Leeds, Institute for Climate and Atmospheric Science, School of Earth and Environment, Leeds, United Kingdom, (3)Paul Scherrer Institute, Laboratory of Atmospheric Chemistry, Villingen, Switzerland, (4)Leibniz Institute for Tropospheric Research, Leipzig, Germany, (5)Paul Scherrer Institute, Villigen, Switzerland, (6)University of Leeds, Leeds, United Kingdom, (7)Paul Scherrer Institute, 5232 Villigen, Switzerland
 
How Does Spatially Heterogeneous Aerosol Forcing Map to Climate Response? (Invited) (554809)
Geeta Persad, Carnegie Institution for Science Stanford, Stanford, CA, United States, Yi Ming, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, Ken Caldeira, Carnegie Institution for Science Stanford, Dept. of Global Ecology, Stanford, CA, United States, Zhaoyi Shen, Princeton University, Princeton, NJ, United States and V Ramaswamy, NOAA/OAR/ GFDL, Princeton, NJ, United States
 
The Aerosol Direct and Semi-Direct Effects on Global Forecast Models using Aerosol Climatology (565997)
Gill-Ran Jeong, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, Korea, Republic of (South)
 
EVALUATING THE POTENTIAL OF SIMULATED ATMOSPHERIC BLACK CARBON (BC) BURDEN AND RADIATIVE PERTURBATIONS OVER THE INDO-GANGETIC PLAIN, TO THE EMISSION STRENGTH EFFICACY USING A HIGH RESOLUTION CHEMICAL TRANSPORT MODEL (CHIMERE) (570375)
Sanhita Ghosh, Indian Institute of Technology Kharagpur, Advanced Technology Development Center, Kharagpur, India and Shubha Verma, Indian Institute of Technology Kharagpur, Department of Civil Engineering, Kharagpur, India
 
Identifying and quantifying uncertainties in process representations regulating aerosol-cloud-precipitation interactions and constraining them using deep learning techniques (580397)
Po-Lun Ma, Pacific Northwest National Laboratory, Richland, WA, United States, Bryce E Harrop, University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, Vincent E Larson, Univ Wisconsin-Milwaukee, Milwaukee, WI, United States, Johannes Mulmenstadt, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany, Richard B Neale, NCAR, Boulder, CO, United States, Philip J Rasch, Pacific Northwest National Lab, Richland, WA, United States, Panos Stinis, Pacific Northwest National Laboratory, Richland, United States and Heng Xiao, Pacific Northwest Natl Lab, Richland, WA, United States
 
Investigating the impact of regional and global constraints on reducing the uncertainty in aerosol effective radiative forcing (596549)
Lucia Deaconu1, Duncan Watson-Parris1, Masaru Yoshioka2, Leighton Anunda Regayre2, Jill S Johnson3, Ken S Carslaw4 and Philip Stier5, (1)University of Oxford, Oxford, United Kingdom, (2)University of Leeds, Leeds, United Kingdom, (3)University of Leeds, Institute for Climate and Atmospheric Science, School of Earth and Environment, Leeds, United Kingdom, (4)University of Leeds, Leeds, LS2, United Kingdom, (5)University of Oxford, Department of Physics, Oxford, United Kingdom
 
A multiscale modeling framework for improving the representation of aerosol interactions with clouds and radiation (613983)
Laura Fierce, Brookhaven National Laboratory, Environmental & Climate Sciences, Upton, NY, United States
 
Impacts of aerosol size-dependent below-cloud scavenging on tropospheric aerosol in the NASA GEOS model (615833)
Bo Zhang1, Hongyu Liu1, Huisheng Bian2, Michael Manyin3, Donifan Barahona4, Anton Darmenov5, Betty Croft6, Karla M Longo de Freitas7, Peter Richard Colarco4, Andrea Molod8, Mian Chin9 and Arlindo daSilva8, (1)National Institute of Aerospace, Hampton, VA, United States, (2)NASA Goddard Space Flight Ctr, Greenbelt, MD, United States, (3)Science Systems and Applications, Inc., Lanham, MD, United States, (4)NASA GSFC, Greenbelt, MD, United States, (5)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States, (6)Dalhousie University, Physics and Atmospheric Science, Halifax, NS, Canada, (7)Universities Space Research Association Columbia, Columbia, United States, (8)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (9)NASA Goddard SFC, Greenbelt, MD, United States
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