Nonlinear Geophysics



Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences
Primary Convener:  Steven J Fletcher, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Conveners:  Brian C Ancell, Texas Tech Univ-Geosciences, Lubbock, TX, United States, Derek J Posselt, University of California, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, United States and Matthias Morzfeld, Scripps Institution of Oceanography, University of California, San Diego, Institute of Geophysics and Planetary Physics, La Jolla, United States


Applied Mathematics Perspectives on Modern Geosciences
Primary Convener:  Nan Chen, University of Wisconsin Madison, Madison, WI, United States
Conveners:  Di Qi, Purdue University, Mathematics, West Lafayette, IN, United States, Reza Malek-Madani, George Washington University, Computer Science, Washington D.C., United States and Michael Mahoney, University of California Berkeley, Department of Statistics, Berkeley, United States
Student/Early Career Convener:  Charlotte Moser, University of Wisconsin Madison, Madison, WI, United States


Beyond Gaussianity in Earth System Data Assimilation: Advancing Ensemble Methods, Remote Sensing, and Artificial Intelligence for High-Impact Prediction
Primary Convener:  Soyoung Ha, NSF National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Lab, Boulder, United States
Conveners:  Moha Gharamti, NSF National Center for Atmospheric Research, Computational and Information Systems Lab, Boulder, United States, Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Steven J Greybush, The Pennsylvania State University, University Park, United States


Climate Variability and Extremes from Weather to Milankovitch Scales
Primary Convener:  Raphaël Hébert, University of Wisconsin Milwaukee, Milwaukee, WI, United States
Conveners:  Daniel J M Schertzer, Ecole Nationale des Ponts et Chaussées, Hydrologie Météorologie et Complexité (HM&Co), Champs-sur-Marne, France and Shaun Lovejoy, McGill Univ, Montreal, QC, Canada


Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling
Primary Convener:  Simon Driscoll, University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, United Kingdom
Conveners:  Sara Shamekh, New York University, Center for Atmosphere Ocean Science, Courant Institute of Mathematical Sciences, New York, United States, Ching-Yao Lai, Stanford University, Department of Geophysics, Stanford, United States and Karan Jakhar, Pravāh, San Francisco, United States


Foundational Mathematical Principles and Theoretical Frameworks for Earth System Complexity and Intelligence
Primary Convener:  Rui A.P. Perdigão, Meteoceanics Institute for Complex System Science, IUC Physics of Complex Systems and Fluid Dynamical Systems, Washington, DC, United States
Convener:  Julia Hall, Meteoceanics Institute for Complex System Science, GeoSys International, Lisbon, Portugal


Geodynamics and Complexity: Current Trends and Future Directions
Primary Convener:  John B Rundle, University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States
Conveners:  Bruce D Malamud, King's College London, Earth and Environmental Dynamics Research Group, Department of Geography, London, WC2R, United Kingdom, William Newman, UCLA, Earth and Planetary Science, Los Angles, United States, Kazuyoshi Nanjo, University of Shizuoka, Global Center for Asian and Regional Research, Natural Disaster Research Section, Shizuoka, Japan and Magali I Billen, UC Davis, Davis, United States


Geophysical Fluid Dynamics
Primary Convener:  Raffaele Marino, CNRS, École Centrale de Lyon, Écully, France
Conveners:  Nobumitsu Yokoi, University of Tokyo, Institute of Industrial Science, Bunkyo-ku, Japan, Ian Grooms, University of Colorado at Boulder, Applied Mathematics, Boulder, United States, Duane L. Rosenberg, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, United States and Andrew Grace, University of Notre Dame, Notre Dame, United States


Ten Years of Machine Learning in Heliophysics
Primary Convener:  Enrico Camporeale, University of Colorado, Queen Mary University of London, Boulder, United States
Conveners:  Ryan McGranaghan, JPL/NASA/Caltech, Pasadena, United States, Jacob Bortnik, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States and Tomoko Matsuo, University of Colorado Boulder, Boulder, United States