AGU Fall Meeting 2020 - Shaping the Future of Science

Picture: AGU

The AGU Fall Meeting 2020 is scheduled to take place on the week of 7-11 December 2020 in San Francisco (CA). This year, the meeting will look a little different: the organizing team announced that AGU2020 will be mostly virtual, in response to the ongoing COVID-19 pandemic, but that it will feature the usual real-time sessions, networking events and poster halls, to guarantee the same experience even in remote conditions. The team stated that "the value that you have always experienced at Fall Meeting in-person will remain in our virtual version."

The abstract submission procedure is now open and you will have the chance to submit your contribution until July 29th, 2020.

To give you an easy start into the wonders of this year's programme of the AGU meeting, we prepared a list of sessions that might be of interest for our ESM community. The complete programme can be browsed at this link.


Earth system modelling

Addressing Challenges for the Next Generation of Earth System Models

Christopher Vogl, Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States, Katherine J Evans, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Oliver Fuhrer, Vulcan Inc., Seattle, WA, United States and Carol S. Woodward, Lawrence Livermore National Laboratory, Livermore, CA, United States

High resolution climate modeling on large supercomputers
L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States, Rein Haarsma, Royal Netherlands Meteorological Institute, De Bilt, Netherlands, Pier Luigi Vidale, NCAS Climate, Department of Meteorology, University of Reading, Reading, United Kingdom and Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom

Accelerating the Path to 2030 in Exascale Research for the Earth and Space Sciences
Lesley A Wyborn, Australian National University, Canberra, ACT, Australia, Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia and Tim Rawling, Parkville, Victoria, Australia

Progress in Reanalysis: Development, Evaluation, and Application
Jan Dominik Keller, Deutscher Wetterdienst, Offenbach, Germany, Michael G Bosilovich, Earth Sciences Division, Greenbelt, MD, United States, Masatomo Fujiwara, Hokkaido University, Faculty of Environmental Earth Science, Sapporo, Japan and Rixen Michel, World Meteorological Organization, World Climate Research Programme, Geneva, Switzerland

Machine Learning for Weather and Climate Modeling
Noah Brenowitz, Vulcan, Inc, Seattle, United States, Christopher Stephen Bretherton, University of Washington Seattle Campus, Seattle, WA, United States, Laure Zanna, University of Oxford, Dept. of Physics, Oxford, United Kingdom and Maike Sonnewald, Princeton University, Princeton, NJ, United States

CMIP6 Climate Model Evaluation
Baijun Tian, Jet Propulsion Laboratory, Pasadena, CA, United States, Shaocheng Xie, Lawrence Livermore Nat''l Lab, Livermore, CA, United States, Brian Medeiros, National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States and Ming Zhao, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States


Data Assimilation

Data Assimilation, Reanalysis, and Observing System Simulation Experiments
Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, MD, United States

New Observing Strategies for Earth Science
David S Green, NASA Headquarters, Washington, DC, United States, Benjamin D Smith, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Jacqueline Le Moigne, NASA, Earth Science Technology Office, Greenbelt, MD, United States and Marge Cole, NASA Goddard Space Flight Center, Earth Science Technology Office, Greenbelt, MD, United States

Advances in Data Assimilation, Predictability and Uncertainty Quantification
Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Brian C Ancell, Texas Tech Univ-Geosciences, Lubbock, TX, United States, Derek J Posselt, Jet Propulsion Laboratory, Pasadena, CA, United States and Matthias Morzfeld, University of Arizona, Department of Mathematics, Tucson, AZ, United States

Data and Information Services for Interdisciplinary Research and Applications in Earth Science
Zhong Liu1,2, Vasco Manuel Mantas3, Jennifer C Wei2 and Menglin Jin4, (1)NASA GSFC GES DISC (CSISS, George Mason University), Greenbelt, MD, United States(2)NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States(3)University of Coimbra, Department of Earth Sciences, Coimbra, Portugal(4)University of Maryland - College Park, Department of Atmospheric and Oceanic Science, College Park, MD, United States

Extreme Events

Extreme Weather Events: Forecast skill, Uncertainty Quantification and Impact Modeling
Marina Astitha, University of Connecticut, Civil & Environmental Engineering, Storrs, CT, United States, Forest Cannon, Scripps Institution of Oceanography, La Jolla, CA, United States, Alison Cobb, University of California San Diego, Scripps Institute of Oceanography, Center for Western Weather and Water Extremes, La Jolla, CA, United States and Efthymios Ioannis Nikolopoulos, University of Padova, Padova, Italy

Bridging the Gap from Climate to Extreme Weather: Observations, Theory and Modeling
Daniel Robert Chavas, Purdue University, Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States and Kevin A Reed, Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States

Climate Extremes: Patterns, Mechanisms, and Attribution
Chris C Funk, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, Stephanie Herring, NOAA Boulder, Boulder, CO, United States, Andrew Hoell, NOAA Earth System Research Laboratory Physical Sciences Division, Boulder, CO, United States and Daniel Mitchell, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom

Correlated Climate Extremes: Drivers, Mechanisms, and Projections
Kai Kornhuber, Columbia University, Earth Institute/Lamont-Doherty Earth Observatory, New York, United States, Colin Raymond, Columbia University of New York City, New York, NY, United States, Olivia Romppainen-Martius, University of Bern, Oeschger Centre for Climate Change Research, Institute of Geography, Bern, Switzerland and Michael F Wehner, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Recent Advances in Large Scale, High Resolution Hydrologic and Flood Modeling and Hydroclimate Extreme Events Assessment
Sudershan Gangrade1, Shih-Chieh Kao1, Mario Morales-Hernandez1 and Alfred J Kalyanapu2, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States(2)Tennessee Technological University, Cookeville, TN, United States