Poster Session 4 Severe Precipitation Detection, Estimation, Forecast and Hydrometeorological Applications, Posters

Monday, 8 January 2018: 4:15 PM-6:00 PM
Exhibit Hall 3 (ACC) (Austin, Texas)
Host: 32nd Conference on Hydrology
Ming Xue, Univ. of Oklahoma, CAPS/SOM, Norman, OK

Severe weather with heavy precipitation could bring unexpected hydrometeorological hazards, such as flash floods and landslides/mudslides, which might lead to serious social, economic, and political problems. Severe precipitation, flash floods, or landslides might become disasters that could cause significant injuries, deaths, infrastructure damage, transportation paralysis, and/or many other problems. Therefore, it is essentially important to accurately monitor and estimate the heavy precipitation so that the occurrence and intensity of associated hydrometeorological hazards can be well measured and forecasted. Currently the most powerful technique to monitor/research the severe weather is the remote sensing technique (e.g., radar, satellite). The relevant research fields progress rapidly with the aims of providing accurate and high-resolution precipitation estimation, accurate flash flood forecasting, understanding of causation and geophysical process of these natural hazards. This session invites high quality, original research contributions from radar meteorology, satellite meteorology, flash flood forecasting, hazards monitoring, and related fields that research hydrometeorological hazards.

Convective-Permitting Simulations of Extreme Weather and Climate Events in El Salavador with the Weather Research and Forecasting Model
Christopher L. Castro, Univ. of Arizona, Tucson, AZ; and C. Ochoa-Moya and A. I. Quintanar

Handout (2.2 MB)

Assessment of Distributed Hydrological Model Products for Flash Flood Operations
James Halgren, RTI International, Fort Collins, CO; and L. E. Johnson, T. Coleman, and R. Cifelli

A Scale to Characterize the Strength and Impacts of Atmospheric Rivers
Jonathan J. Rutz, NWS, Salt Lake City, UT; and F. M. Ralph, M. Dettinger, J. M. Cordeira, L. J. Schick, M. L. Anderson, C. Smallcomb, and D. W. Reynolds

Dynamical Insights into Extreme Short-Term Precipitation Associated with Supercells and Mesovortices
Erik R. Nielsen, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher

Handout (14.8 MB)

Forecasting and Simulation of Floods in Western Boundary Basin Ilam,Iran
Farahnaz Taghavi, Univ. of Tehran, Tehran, Iran

The Research on Hydrometeorology Coupling Method in Basin Flood Warning and Forecasting
Tao Peng, Institute of Heavy Rain, China Meteorological Administration, Wuhan, China; and T. Peng, C. G. Cui, Z. Y. Yin, T. Y. Shen, and J. C. Wang

Multi-Sensor QPE for Operational Hydrological Application in Brazil
Cesar Beneti, Parana Meteorological System (SIMEPAR), Curitiba, Brazil; and R. V. Calheiros, L. Calvetti, M. Sorribas, C. Oliveira, R. L. Neundorf, J. Ruviaro, and A. Breda

Tackling the Verification of Flash Floods
Gregory R. Herman, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher

High-Resolution Quantitative Precipitation Estimation from Measurement of S-Band Doppler Weather Radar Network over Eastern China
Chaoying Huang, Key Laboratory of Environment Change and Resources Use in Beibu Gulf (Guangxi Teachers Education Univ.), Nanning, China; and S. Chen, Z. Liang, and B. Hu

MRMS Precipitation Estimates Using Specific Attenuation
Stephen B. Cocks, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and L. Tang, Y. Wang, J. Zhang, A. Ryzhkov, P. Zhang, and K. W. Howard

Quantitative Precipitation Estimation Using X-Band Dual-Pol Phase-Array Radar Measurements over Southern China
Sheng Chen, Sun Yat-Sen Univ., Guangzhou, China; and A. Zhang, J. Hu, and W. Yuan

Improving Multisensor Estimation of Heavy-to-Extreme Precipitation via Conditional Bias-Penalized Optimal Estimation
Mohammad Nabatian, Univ. of Texas, Arlington, TX; and D. J. Seo, S. Noh, L. Tang, J. Zhang, D. Kitzmiller, and G. Fall

The Caribbean Dewetra Platform
Shawn Anthony Boyce, Caribbean Insitute for Meteorology and Hydrology, Saint James, Barbados; and D. Farrell

Handout (2.8 MB)

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner