NH21A:
Remote Sensing: Monitoring, Prediction, and Hazard Mitigation of Hydroclimatic Extreme Events
Submit an Abstract to this Session
Session ID#: 62853
Session Description:
Hydroclimatic extremes have significant socio-economic and ecological impacts. This session seeks studies of hydroclimatic extremes including:
(a) Prediction and monitoring of extreme events using satellite/radar-derived remote sensing data.
(b) Analysis and monitoring of infrastructure for risk mitigation, resilience, and reliability through the use of remotely sensed, field based, and in-situ observations.
(c) Analysis of hydroclimatic extremes and their precursors using in-situ and remotely sensed data as well as dynamic statistical, and learning-based models.
(d) Dynamics of hydroclimatic extremes;
1. Diagnosis, assessment and prediction of extremes and their severity, duration and spatiotemporal patterns;
2. Non-stationary analysis of extremes; and
3. Uncertainty analysis of data and models used for monitoring extreme events.
Case studies that focus on regional or continental aspects are encouraged.
Primary Convener: Ali Mehran, University of North Georgia, Oakwood, GA, United States
Conveners: Guy Schumann, Remote Sensing Solutions, Inc., Pasadena, United States, Phu Nguyen, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States
Primary Liaison: Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States
Chairs: Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States and Riccardo Tortini, University of California Los Angeles, Geography, Los Angeles, CA, United States
OSPA Liaison: Phu Nguyen, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
Abstracts Submitted to this Session:
Terri S Hogue1, Kyle Blount2, Christopher J Ruybal3 and Ashley Rust3, (1)Colorado School of Mines, Civil and Environmental Engineering, Hydrologic Science and Engineering, Golden, CO, United States, (2)University of Illinois, Springfield, School of Integrated Sciences, Sustainability, and Public Health, Springfield, United States, (3)Colorado School of Mines, Golden, CO, United States
Antonios Mamalakis, University of Virginia, Department of Environmental Sciences, Charlottesville, VA, United States, Jin-Yi Yu, Univ California Irvine, Department of Earth System Science, Irvine, United States, James T. Randerson, University of California Irvine, Earth System Science, Irvine, United States, Amir AghaKouchak, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Efi Foufoula-Georgiou, University of California Irvine, Civil and Environmental Engineering, Irvine, United States
Omid Mazdiyasni1, Amir AghaKouchak2, Felicia Chiang1, Ali Mehran3, Hamed Moftakhari4, Steven J Davis5, Nathan Mueller6, Kuo-lin Hsu2 and Phu Nguyen2, (1)University of California Irvine, Irvine, CA, United States, (2)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (3)San Jose State University, CEE, San Jose, CA, United States, (4)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (5)University of California Irvine, Earth System Science, Irvine, CA, United States, (6)Colorado State University, Department of Ecosystem Science and Sustainability, Fort Collins, United States
