A009
Advancing Understanding of the Hydrological Cycle and its Extremes Through Objective Tracking of Weather Phenomena
Session ID#: 161384
Session Description:
The hydrological cycle and extremes therein are changing, and advances in climate models have resulted in improvements in the simulation of the hydrological cycle. But model uncertainty still remains a major driver of uncertainty in future changes in precipitation, especially in the near term. There have been significant advances in phenomenon-focused research over the last decade, in which researchers objectively identify specific weather phenomena in observational datasets and numerical model outputs, and link these phenomena to precipitation and its extremes: e.g., tropical cyclones, atmospheric rivers, frontal systems, mesoscale convective systems, and others.
This session seeks presentations on recent advances in research on the hydrological cycle, and its associated extremes, that make use of objective methods for identifying weather phenomena in observations and/or models. Presentations developing new methods for identifying weather phenomena in climate datasets, and presentations that intercompare such objective methods, are equally welcome.
Index Terms:
1655 Water cycles [GLOBAL CHANGE]
3314 Convective processes [ATMOSPHERIC PROCESSES]
3364 Synoptic-scale meteorology [ATMOSPHERIC PROCESSES]
3372 Tropical cyclones [ATMOSPHERIC PROCESSES]
Primary Convener: Travis Allen O'Brien, Indiana University Bloomington, Department of Earth and Atmospheric Sciences, Bloomington, IN, United States
Conveners: Jennifer Louise Catto, University of Exeter, Exeter, United Kingdom, Zhe Feng, Pacific Northwest National Laboratory, Richland, WA, United States and Alyssa M Stansfield, Stony Brook University, School of Marine and Atmospheric Science, Stony Brook, NY, United States
Student/Early Career Convener: Alyssa M Stansfield, Stony Brook University, School of Marine and Atmospheric Science, Stony Brook, NY, United States
The role of cyclones and potential vorticity cutoffs for the occurrence of unusually long wet spells in Europe (Invited) (1057793)
Matthias Rothlisberger1, Barbara Scherrer2, Andries de Vries3 and Raphael Portmann2, (1)ETH Swiss Federal Institute of Technology Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland, (2)Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland, (3)Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Evaluating the simulation of precipitation by storm type in Energy Exascale Earth System Model (1070277)
Kevin A Reed, Stony Brook University, Stony Brook, United States, Alyssa M Stansfield, Stony Brook University, School of Marine and Atmospheric Science, Stony Brook, NY, United States, Wei-Ching Hsu, University of Georgia, Department of Geography, Athens, United States, Gabriel J Kooperman, University of Georgia, Department of Geography, Athens, GA, United States, Akintomide A Akinsanola, Argonne National Laboratory, Argonne, United States, Walter M Hannah, Lawrence Livermore National Laboratory, Livermore, CA, United States, Angeline G Pendergrass, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States and Brian Medeiros, National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States
Atmospheric Rivers and Their Growth, Decay, and Propagation (1101871)
Hing Ong, University of California Davis, Davis, CA, United States and Da Yang, University of California, Davis, Land, Air and Water Resources, Davis, United States; Lawrence Berkeley National Laboratory, Berkeley, United States
An Assessment of the Differences among the Distributions of Daily Precipitation Associated with the Dominant Generating Mechanisms in United States (1107195)
Mohammed Alshehri, Arizona State University, Tempe, United States, Kenneth Kunkel, North Carolina Institute for Climate Studies, North Carolina State University, Asheville, United States and Giuseppe Mascaro, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States
Machine Learning-Based Detection of Weather Fronts and Associated Extreme Precipitation in Historical and Future Climates (1126967)
Katherine Dagon1, John E Truesdale1, Gerald Meehl1, Maria J Molina2, James Clark Biard3 and Kenneth Kunkel4, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NCAR, Boulder, CO, United States, (3)ClimateAi, San Francisco, United States, (4)North Carolina Institute for Climate Studies, North Carolina State University, Asheville, United States
The Future of Atmospheric Fronts and Associated Precipitation (1147522)
Jennifer Louise Catto1, Christian Jakob2 and Matthew Priestley1, (1)University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, EX4, United Kingdom, (2)Monash University, Melbourne, VIC, Australia
Understanding Hydrologic Extremes Using a Multi-Feature Tracking Method (1152340)
James Done1, Andreas F Prein1, Priscilla Mooney2, Ming Ge1, Alok Samantaray2, Carla Vivacqua3 and Cindy L Bruyere4, (1)National Center for Atmospheric Research, Boulder, United States, (2)NORCE & Bjerknes Centre for Climate Research, Bergen, Norway, (3)Federal University at Rio Grande do Norte, Natal, Brazil, (4)University Corporation for Atmospheric Research, Cooperative Programs for the Advancement of Earth System Science, Boulder, United States
Relationship of Central North American Atmospheric Rivers to Mesoscale Convection and Extratropical Cyclones (1158557)
Travis Allen O'Brien, Indiana University Bloomington, Department of Earth and Atmospheric Sciences, Bloomington, IN, United States, Burlen Loring, Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, United States, Amanda Dufek, Lawrence Berkeley National Laboratory, National Energy Research Supercomputing Center, Berkeley, United States, Mohammad Rubaiat Islam, Indiana University Bloomington, Earth and Atmospheric Science, Bloomington, IN, United States, Diya Kamnani, Indiana University Bloomington, Earth and Atmospheric Sciences Department, Bloomington, IN, United States, Kwesi Quagraine, Indiana University Bloomington, Bloomington, IN, United States and Cody Kirkpatrick, Indiana University Bloomington, Earth and Atmospheric Sciences Department, Bloomington, United States
Analyzing the Effect of Tropical Cyclones on Atmospheric River Statistics and Dynamics (1163335)
Mohammad Rubaiat Islam, Indiana University Bloomington, Earth and Atmospheric Science, Bloomington, IN, United States, Travis Allen O'Brien, Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, Kwesi Twentwewa Quagraine, Indiana University Bloomington, Bloomington, United States and Diya Kamnani, Indiana University Bloomington, Earth and Atmospheric Sciences Department, Bloomington, IN, United States
Unsupervised Extreme Weather Segmentation (1164073)
Adam Rupe, Los Alamos National Laboratory, Los Alamos, NM, United States, Karthik Kashinath, NVIDIA Corporation, HPC*AI, Santa Clara, United States, Nalini Kumar, Intel, Santa Clara, United States and James P Crutchfield, University of California Davis, Physics, Davis, CA, United States
Detection and Predictability of Convection and Extreme Precipitation in the North American Monsoon (1164578)
Jennie Bukowski1, Daniel L Swain2,3, James Done3 and Andreas F Prein3, (1)University of California Los Angeles, Institute of the Environment and Sustainability, Los Angeles, CA, United States, (2)University of California Los Angeles, Institute of the Environment and Sustainability, Los Angeles, United States, (3)National Center for Atmospheric Research, Boulder, United States
Geographic Variation of Seasonality Associated with Atmospheric Rivers Based on Multiple Detection Techniques (1165293)
Diya Kamnani, Indiana University Bloomington, Earth and Atmospheric Sciences Department, Bloomington, IN, United States and Travis Allen O'Brien, Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, CA, United States
Constraining Future Projections of Atmospheric Rivers using Poleward Latent Energy Transport (1165403)
Ankur Mahesh, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Travis Allen O'Brien, Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, Burlen Loring, Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, United States and William Drew Collins, Berkeley Lab and UC Berkeley, Berkeley, United States
Synoptic Mechanisms of Extreme Snow Ablation and River Discharge Events in the Susquehanna River Basin (1172891)
Zachary J. Suriano, Western Kentucky University, Earth, Environmental, and Atmospheric Sciences, Bowling Green, United States and Gina R Henderson, United States Naval Academy, Oceanography Dept., Annapolis, MD, United States
An Objective Analysis of the Detection of Monsoon Onset Vortex over the Arabian Sea (1174476)
Talukdar Sasanka, Dept. of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela, India, Krishna Kishore Osuri, National Institute of Technology Rourkela, Department of Earth and Atmospheric Sciences, Rourkela, India and Dev Niyogi, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
The Sensitivity of Mesoscale Convective System Tracking Algorithms to Detection Thresholds and Data Resolution (1182628)
Ross D Dixon, University of Nebraska Lincoln, Department of Earth and Atmospheric Sciences, Lincoln, NE, United States, Thomas Galarneau, University of Oklahoma Norman Campus, Norman, AZ, United States, Xubin Zeng, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, Hui Su, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Amir Ouyed Hernandez, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Scalable Feature Extraction and Tracking (SCAFET): A Novel Framework for Detection of Extreme Events (1192753)
Arjun Babu Nellikkattil, IBS Center for Climate Physics, Pusan National University, Department of Climate System, Busan, South Korea, June-Yi Lee, Pusan National University, Department of Climate System, Busan, South Korea, Pavan Harika Raavi, IBS Center for Climate Physics, Pusan National University, Busan, South Korea, Jung-Eun Chu, City University of Hong Kong, School of Energy and Environment, Hong Kong, China and Axel Timmermann, Center for Climate Physics, Institute for Basic Science, Busan, South Korea
Estimation, Prediction, and Attribution with Objective Tracking of Atmospheric Rivers to Understand the Hydrological Cycle (1199785)
Wen-wen Tung, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States, Di Qi, Purdue University, Mathematics, West Lafayette, IN, United States, Chen Zhang, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States and William S. Cleveland, Purdue University, Statistics, West Lafayette, United States
