H33M:
Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response I

Session ID#: 4871

Wednesday, 17 December 2014: 1:40 PM-3:40 PM
3010 (Moscone West)
Chairs:  Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China, Tara Troy, Lehigh University, Bethlehem, PA, United States and Philip Ward, Free University of Amsterdam, Amsterdam, Netherlands
Primary Convener:  Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China
Co-conveners:  Tara Troy, Lehigh University, Bethlehem, PA, United States, G Robert Brakenridge, University of Colorado, Boulder, CO, United States and Philip Ward, Free University of Amsterdam, Amsterdam, Netherlands
OSPA Liaison:  Tara Troy, Lehigh University, Bethlehem, PA, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
Index Terms:

1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
Virtual Option?: Yes
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

H33M-01
LiDAR and IFSAR-Based Flood Inundation Model Estimates for Flood-Prone Areas of Afghanistan (28105)
William C Johnson1, Meliissa M Goldade1, Jude Kastens2, Kevin E. Dobbs2 and Gwendolyn Macpherson1, (1)University of Kansas, Lawrence, KS, United States, (2)Kansas Biological Survey, Lawrence, KS, United States
H33M-02
The Global Flood Awareness System (GloFAS) – Overview of Recent Developments (21287)
Feyera A Hirpa1, Zuzanna Zajac2, Beatriz Revilla-Romero2, Victor Ntegeka2, Peter Salamon3, Jutta Thielen-del Pozo2, Peter Burek4, Milan Kalas2, Lorenzo Alfieri2 and Hylke Beck4, (1)Joint Research Center Ispra, Disaster Risk Management Unit, Ispra, Italy, (2)Joint Research Center Ispra, Climate Risk Management Unit, Ispra, Italy, (3)European Commission, Climate Risk Management Unit, Brussels, Belgium, (4)Joint Research Center Ispra, Water Resources Unit, Ispra, Italy
H33M-03
Validation of a Global Hydrodynamic Flood Inundation Model (Invited) (3924)
Paul D Bates1, Andrew Smith1, Christopher Charles Sampson2, Lorenzo Alfieri3 and Jeffrey C Neal1, (1)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (2)University of Bristol, Bristol, United Kingdom, (3)EU Joint Research Centre, Ispra, Italy
H33M-04
A new approach for improving flood model predictions based on the sequential assimilation of SAR-derived flood extent maps (15580)
Renaud Hostache, Giovanni Corato, Marco Chini, Melissa Wood, Laura Giustarini and Patrick Matgen, CRP Gabriel Lippmann, Belvaux, Luxembourg
H33M-05
Latest updates in global flood modelling: channel bifurcation and global river width database (14328)
Dai Yamazaki, University of Tokyo, Institute of Industrial Science, Bunkyo-ku, Japan, Shinjiro Kanae, Tokyo Institute of Technology, Department of Civil and Environmental Engineering, Tokyo, Japan, Yukiko Hirabayashi, The Shibaura Institute of Technology, Tokyo, Japan, Fiachra O'Loughlin, University College Dublin, School of Civil Engineering, Dublin, Ireland, Mark Adam Trigg, University of Bristol, School of Geography, Bristol, United Kingdom and Paul D Bates, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom
H33M-06
Development of an Operational Hydrological Monitoring and Seasonal Forecast System for China (11956)
Qiuhong Tang and Xuejun Zhang, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
H33M-07
Assessing short to medium range ensemble streamflow forecast approaches in small to medium scale watersheds across CONUS (29798)
Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States, Andrew James Newman, National Center for Atmospheric Research, Boulder, United States, Levi D Brekke, U.S. Bureau of Reclamation, Denver, United States, Dr. Jeffrey Richard Arnold, MITRE Corporation Mclean, Climate + Environmental Sciences, Mclean, United States and Martyn P Clark, University of Calgary, Schulich School of Engineering, Department of Civil Engineering, Calgary, AB, Canada
H33M-08
Can atmospheric reanalysis datasets be used to reproduce flood characteristics? (25424)
Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, Guy Schumann, University of California Los Angeles, Los Angeles, CA, United States and Dimitrios Stampoulis, Arizona State University, Future H2O, Knowledge Enterprise Development, Tempe, AZ, United States
See more of: Hydrology