Joint Poster Session 2 Flood Prediction, Analysis, High Performance Computing, Decision Support, Management, and Tropical Cyclones

Tuesday, 9 January 2018: 3:45 PM-5:30 PM
Exhibit Hall 3 (ACC) (Austin, Texas)
Hosts: (Joint between the 32nd Conference on Hydrology; and the Fourth Symposium on High Performance Computing for Weather, Water, and Climate )
Nick Z. Fang, Univ. of Texas, Department of Civil Engineering, Arlington, TX; Hatim Sharif, Univ. of Texas, Depart. of Civil and Environmental Engineering, San Antonio, TX; Konstantinos Andreadis, JPL, Pasadena, CA; David J. Gochis, NCAR, Research Applications Laboratory, Boulder, CO; John N. McHenry, Baron Advanced Meteorological Systems, LLC, Chief Scientist, Raleigh, NC; Gerry Creager, Oklahoma Univ./CIMMS, and NOAA/NSSL, Norman, OK; Philip B. Bedient, Rice Univ., Civil and Environmental Engineering, Houston, TX and Benjamin Bass, Rice Univ., Civil and Environmental Engineering, Houston, TX

A number of regional and national real-time flood forecasting systems are emerging for a variety of different flood-related applications. These new systems are taking advantage of new national hydrologic data standards, new advances in supercomputing availability and improvements in model parameterizations and meteorological forcing datasets. This session encourages contributions from all sectors of the AMS enterprise (academic, government, and the private sector) who have built and deployed such systems. Additionally, contributions are welcome from researchers who have developed novel methodologies to sense and model flood generation dynamics at a variety of time and space scales. We are also seeking abstracts that focus on hydrological modeling systems which require, and utilize high performance computing (HPC) resources to improve the overall understanding and real-time prediction of hydrologic processes at all scales (land surface, aquifer, and stream/river flows) and their extremes (especially those with high impacts on society). Also In this session, interdisciplinary researchers, from meteorologists to engineers, are encouraged to demonstrate different methodologies and tools for better understanding the spatiotemporal characteristics of tropical cyclones (TCs) and improving risk-based analysis and real-time forecasts of the rainfall and/or storm surge associated with TCs. In addition, studies involving flood mitigation from the local- to regional-scale are invited given the increasing need for protection from such events. Research and application contributions from within the United States as well as internationally are also encouraged.

Evaluation Studies of Real-Time Flood Forecasting: A Review of Issues
Felipe Quintero, Univ. of Iowa, Iowa City, IA; and W. F. Krajewski, G. R. Ghimire, and M. Rojas

Utilizing CIPS Analogs in Extended River Flood Forecasts
Emilee Lachenmeier, NWS/NCRFC, Chanhassen, MN

Advancements in Estimating and Validating Bankfull Flow and Inundation in the National Water Model
Laura K. Read, NCAR, Boulder, AL; and D. N. Yates, D. J. Gochis, F. Salas, Z. Li, and S. Khan

Identifying Runoff Parameters and Predicting Future Runoff with GCM Data in a Mountainous Basin in Japan
Kazumasa Fujimura, Meisei Univ., Hino City, Tokyo, Japan; and Y. Iseri, S. Kanae, S. Okada, and M. Murakami

Poster 454 will also present as paper J35.3A

Accounting for rainfall spatial variability in the prediction of flash floods
Manabendra Saharia, NCAR, Boulder, CO; and P. E. Kirstetter, J. J. Gourley, Y. Hong, and H. Vergara

Spatial Analysis of Rain Rates for Tropical Cyclones Affecting Madagascar or Mozambique
Corene J. Matyas, Univ. of Florida, Gainesville, FL; and S. M. VanSchoick
Manuscript (712.9 kB)

Handout (2.8 MB)

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

Integrated Flood Forecast Model (Hydro-CoSMoS) for San Francisco Bay
Jungho Kim, CIRA, Fort Collins, CO; and L. Herdman, L. E. Johnson, R. Martyr-Koller, R. Cifelli, P. Barnard, L. Erikson, J. Finzi Hart, and V. Chandrasekar

IFIS Model-Plus: A Web-Based GUI for Visualization, Comparison, and Evaluation of Distributed Flood Forecasts and Hindcasts
Andre Della Libera Zanchetta, Univ. of Iowa, Iowa Flood Center, Iowa City, IA; and R. Mantilla, I. Demir, and W. F. Krajewski

Enhancements to the WRF-Hydro Hydrologic Model Structure for Semiarid Environments
Timothy M. Lahmers, Univ. of Arizona, Tucson, AZ; and H. V. Gupta, P. Hazenberg, C. L. Castro, D. J. Gochis, D. N. Yates, A. Dugger, and D. C. Goodrich

Handout (6.4 MB)

Assimilation of Real-Time Streamflow Observations for the National Water Model Using Ensemble Kalman Filter
Seongjin Noh, Univ. of Texas at Arlington, Arlington, TX; and D. J. Seo, A. RafieeiNasab, J. McCreight, D. Gochis, B. Cosgrove, and T. Vukicevic

Implementing the WRF-Hydro Modeling System in the Great Lakes Region
Chuliang Xiao, Univ. of Michigan, Ann Arbor, MI; and B. M. Lofgren, A. Gronewold, D. J. Gochis, L. Mason, L. Pei, and K. Sampson

Historical Rainfall Data Analysis of Storm Characteristics in Tropical Cyclones and Noncyclonic Storms
Baxter E. Vieux, Vieux & Associates, Inc., Norman, OK; and J. E. Vieux

An Assessment of National Water Model Streamflow Forecasts during Tropical Storm Cindy
Xia Feng, NOAA/OWP/NWC, Tuscaloosa, AL; and B. Cosgrove

Field Evaluation of NOAA's National Water Model
Scott D. Lindsey, NWS/Alaska Pacific River Forecast Center, Anchorage, AK; and A. Macneil, E. T. Jones, J. Lhotak, and T. Dixon

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