Poster Session Hydrometeorological Extremes (Posters)

Monday, 7 January 2019: 4:00 PM-6:00 PM
Hall 4 (Phoenix Convention Center - West and North Buildings)
Host: 33rd Conference on Hydrology
Konstantinos Andreadis, Univ. of Massachusetts Amherst, Civil and Environmental Engineering, Amherst, MA; Eleonora Demaria, USDA–ARS, Southwest Watershed Research Center, Tucson, AZ; Daniel Rodriguez, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Univ. Federal do Rio de Janeiro, Rio de Janeiro and John McHenry, Baron Advanced Meteorological Systems, Chief Scientist, Raleigh, NC

High-impact hydrometeorological events produce the most destructive and costly outcomes of any weather-driven phenomena world-wide. 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 snow-melt, 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.

Using WRF-Hydro v5.0 for Operational, Highly Localized Land Surface and Streamflow Predictions
Mukul Tewari, IBM Research, New York, NY; and C. D. Watson, L. A. Treinish, and H. Kolar

Large Scale Influences on Atmospheric River Induced Extreme Precipitation Events Impacting the Coast of the State of Washington
Haiden Mersiovsky, Florida State Univ., Tallahassee, FL; and A. Collow, M. Bosilovich, B. McClenny, and P. Ullrich

How the Recently Developed Atmospheric River Scale Can Improve NWS Forecasts and Services
Jonathan J. Rutz, NWS, Salt Lake City, UT; and C. Smallcomb and K. Mattarochia

Synoptic-Dynamic Analysis and Predictability of an Extreme Precipitation Event Affecting Ho Chi Minh City on 26 September 2016
Roderick van der Linden, Karlsruhe Institute of Technology, Karlsruhe, Germany; and A. H. Fink, M. V. Khiem, T. Phan-Van, and J. G. Pinto

Operational Utilization of FY-4 Satellite Data for Extreme Weather Monitoring
Xin Wang, Satellite Meteorological Center, China Meteorological Administration, Beijing, China

Comparison of Agricultural Stakeholder Survey Results and Drought Monitoring Datasets during the 2016 U.S. Northern Plains Flash Drought
Jason A. Otkin, Univ. of Wisconsin–Madison, Madison, WI; and T. Haigh, A. Mucia, M. C. Anderson, and C. R. Hain

An Analysis on the Association between Flash Flood Occurrences and Average Recurrence Intervals of Rainfall and Streamflow
Andres Arturo Vergara Arrieta, CIMSS, Norman, OK; and J. J. Gourley and H. Vergara

Radar QPE for Extreme Precipitation Using the Lontras S-Band Dual-Pol Radar in Santa Catarina, Brazil
Leonardo Calvetti, Universidade Federal de Pelotas, Pelotas, Brazil; and C. Beneti, C. Oliveira, D. L. Herdies, W. F. Coelho, and V. L. Santos

Handout (3.0 MB)

Determining How Much Rain Fell During Hurricane Harvey: A Perspective from the MRMS System
Steven M. Martinaitis, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and S. B. Cocks, A. P. Osborne, M. J. Simpson, J. Zhang, and K. W. Howard

Modeling Hydrological Extremes in the Colorado River Basin at Various Watershed Scales.
Kristen M. Whitney, Arizona State Univ., Tempe, AZ; and T. J. Bohn and E. R. Vivoni

Handout (9.8 MB)

Hydroclimatological Modeling of the Carcarañá River Basin in Argentina
Sujan Pal, Univ. of Illinois at Urbana−Champaign, Urbana, IL; and F. Dominguez, D. J. Gochis, and E. Demaria

Assessment of North American Monsoon Variability in the Lower Santa Cruz River Basin Using Dynamically Downscaled CMIP5 Projections
Patrick Bunn, Univ. of Arizona, Tucson, AZ; and C. L. Castro, H. I. Chang, L. Bearup, and E. Halper

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