Poster Session 6 Hydrometeorological Extremes

Tuesday, 9 January 2018: 3:45 PM-5:30 PM
Exhibit Hall 3 (ACC) (Austin, Texas)
Host: 32nd Conference on Hydrology
Eleonora Demaria, USDA–ARS, Southwest Watershed Research Center, Tucson, AZ; John N. McHenry, Baron Advanced Meteorological Systems, LLC, Chief Scientist, Raleigh, NC; Konstantinos Andreadis, JPL, Pasadena, CA and Daniel Rodriguez, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia–Univ. Federal do Rio de Janeiro, Rio de Janeiro

High-impact hydrometeorological events produce the most destructive and costly outcomes of any weather-driven phenomena worldwide. Furthermore, despite significant progress over the last several decades, forecasting and warning for these events still lacks the precision that could minimize loss of property and life, especially in developing nations. However, new observational platforms (in situ, remote) and data-collection methods are improving our ability to assess ongoing events as well as forecast and distinguish those that could be destructive from those that probably will not be. Excessive precipitation or runoff associated with tropical cyclones/convection, land-based convection, atmospheric rivers, ENSO, wintertime snowmelt, rain-on-snow, etc. results in both flash-flooding and large-river system floods whose characteristics often depend on local soils, vegetation/agriculture, and topography. Conversely, severe droughts create deleterious impacts on crop/food production and the water supply. In this session, papers are invited that contribute to our ability to improve real-time/operational forecasts and warnings for these kinds of extremes, especially observational and modeling approaches that may vary depending upon differing societal contexts. In addition, papers that address promising and innovative methods of assessing and modeling the statistics of observed hydrometeorological extremes as applied to real-time/operational forecasting/warning systems are encouraged. Papers that document forecast system performance vis-a-vis the effect of including new or additional observations are also encouraged, as well as new or innovative approaches to communicating vital "extremes" information to stakeholders.

Lightning and Cloud Electrification in the COSMO Numerical Weather Prediction Model
Zbyněk Sokol, Institute of Atmospheric Physics CAS, Prague, Prague, Czech Republic; and J. Minářová

Track and Circulation Analysis of Tropical and Extratropical Cyclones that Cause Extreme Precipitation and Streamflow Events in the New York City Watershed
Katherine L. Towey, City Univ. of New York Graduate Center, New York, NY; and J. F. Booth, A. Frei, and M. Sinclair

Extreme Precipitation in the West African Cities of Dakar and Ouagadougou—Atmospheric Dynamics and Implications for Flood Risk Assessments
Andreas H. Fink, Karlsruhe Institute of Technology, Karlsruhe, Germany; and P. Knippertz, G. Pante, T. Engel, and J. Bliefernicht

Peak over Threshold Analysis of Heavy Precipitation in Texas
Rebecca Paulsen Edwards, Southwestern Univ., Georgetown, TX; and M. Akers
Manuscript (1.2 MB)

Factors Controlling Convective Storm Mode and Heavy Rainfall Production Near the Sierras De Córdoba, Argentina
Jake Mulholland, Univ. of Illinois, Urbana, IL; and S. W. Nesbitt, R. J. Trapp, and K. L. Rasmussen

Analysis of the Extreme Rainfall over the State of Texas in 2015
Zaid Subhi, Univ. of Texas, San Antonio, TX; and H. Sharif and E. Omranian

Climate Extremes of the United States Northern Great Plains
Skylar S. Williams, Montana State Univ., Bozeman, MT; and G. Bromley, T. Gerken, and P. Stoy

Variation Characteristics of Extreme Low Runoff in Midstream Of Ganjiang River and Its Influence Factors
Weilin Liu, Nanchang Institute of Technology, Nanchang, China; and L. Liu

Regimes of Widspread Heavy Precipitation in Diverse Geographic Regions
Nathan R. Kelly, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher

Toward Improvement in Seasonal Forecasting in the Southwest United States Using Regional Climate Product at Convective-Permitting Scale
Sujan Pal, Univ. of Illinois at Urbana−Champaign, Urbana, IL; and H. I. Chang, C. L. Castro, and F. Dominguez

Handout (1.5 MB)

Understanding Himalayan Extreme Rainfall to Inform Disaster Governance
Anil Kumar, NOAA Center for Weather and Climate Prediction, College Park, MD; and M. Ek

The Role of Atmospheric Water Vapor in the Observed Upward Trend in Extreme Precipitation
Laura E. Stevens, Cooperative Institute for Climate and Satellites, Asheville, NC; and K. E. Kunkel and S. Stevens

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- Indicates an Award Winner