NH21B:
Monitoring, Prediction, and Hazard Mitigation of Hydroclimatic Extreme Events II Posters

Submit an Abstract to this Session



Session ID#: 24557

Session Description:
Hydroclimatic extremes have significant socio-economic and terrestrial ecological impacts. This session aims to attract studies on analyses of hydroclimatic extremes including:

(a)Prediction and monitoring using remote sensing satellite/radar-derived data.

(b)Analysis and monitoring infrastructures risk mitigation, resilience (relief response), and reliability.

(c)Analysis of extremes and their precursors using gage and remotely sensed data with hydroclimatic models, statistical and learning algorithms.

(d)Dynamics of hydroclimatic extremes;

a.Diagnosis, assessment and prediction of extremes and their severity, duration and spatiotemporal patterns;

b.Non-stationary analysis of extremes; and

c.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:  Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Guy Schumann, Remote Sensing Solutions, Inc., Pasadena, CA, United States and Phu Nguyen, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States
Chairs:  Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Guy Schumann, Remote Sensing Solutions, Inc., Pasadena, United States and Ali Mehran, University of North Georgia, Oakwood, GA, United States
OSPA Liaison:  Phu Nguyen, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States
Index Terms:

4313 Extreme events [NATURAL HAZARDS]
4321 Climate impact [NATURAL HAZARDS]
4323 Human impact [NATURAL HAZARDS]
4330 Vulnerability [NATURAL HAZARDS]

Abstracts Submitted to this Session:

An exhaustive approach for identification of flood risk hotspots in data poor regions enforcing combined geomorphic and socio-economic indicators (220744)
Mohit PRAKASH Mohanty, Indian Institute of Technology Bombay, Centre for Environmental Sciences and Engineering, Mumbai, India, Vittal H, Indian Institute of Technology Bombay, Mumbai-400076, India, Centre for Environmental Science and Engineering, Mumbai, India, Subhankar Karmakar, Indian Institute of Technology Bombay, Environmental Science and Engineering Department, Centre for Climate Studies, Mumbai, India and Subimal Ghosh, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India
Detection and Prediction of Hail Storms in Satellite Imagery using Deep Learning (239371)
Melinda Pullman1, Iksha Gurung1, Rahul Ramachandran2 and Manil Maskey2, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, Huntsville, United States

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