H41A:
Advances in Hydrometeorological Predictions and Applications II Posters

Session ID#: 1760

Thursday, 18 December 2014: 8:00 AM-12:20 PM
Not an Option (Moscone West)
Chairs:  Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States, Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States and Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States
Primary Convener:  Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
Co-conveners:  Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States and Andrew W Wood, National Center for Atmospheric Research, CGD Laboratory, Boulder, CO, United States
OSPA Liaison:  Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
Joint System of the National Hydrometeorology for disaster prevention (27856)
Juyoun Lim, Kyungsuk Cho, Yei-Sook Lee, Hyun-Sook Jung, Hee-dong Yoo, DooHee Ryu and Jaeil Kwon, KMA Korea Meteorlogical Administration, Seoul, Korea, Republic of (South)
 
WRF Performance Skills in Predicting Rainfall Over the Philippines (25630)
Gay Jane P Perez, University of the Philippines Diliman, Institute of Environmental Science and Meteorology, Quezon City, Philippines and Jay Samuel Combinido, University of the Philippines, Quezon City, Philippines
 
NECESSITY OF FLOOD EARLY WARNING SYSTEMS IN INDIA (12190)
Cicily Kurian, Indian Institute of Technology Madras, Chennai, India, Usha Natesan, ANNA UNIVERSITY, CHENNAI, CENTER FOR WATER RESOURCES, CHENNAI, India and Durga Rao K H V, National Remote Sensing center, WATER RESOURCES DIVISION, Hyderabad, India
 
Wind Velocity Predictions over the Penghu Islands of Taiwan during Tropical Cyclones (12878)
Chih-Chiang Wei, Toko University, Chia-Yi, Taiwan
 
Estimation of Extreme Rainfalls Using the DDF Curves for Han River Basin in Korea (21661)
Sunghun Kim1, Hyunjun Ahn2, Taereem Kim3 and Jun-Haeng Heo3, (1)Missouri University of Science and Technology, Civil, Architectural and Environmental Engineering, Rolla, MO, United States, (2)Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South), (3)Yonsei University, Seoul, Korea, Republic of (South)
 
Regional Frequency Analysis of extreme rainfall events, Tuscany (Italy) (29190)
Enrica Caporali1, Valentina Chiarello2 and Giuseppe Rossi2, (1)University of Florence, Department of Civil and Environmental Engineering, Firenze, Italy, (2)University of Firenze, Italy, Civil and Environmental Engineering, Firenze, Italy
 
Threshold Frequency Estimation for the Russian River, CA (29559)
Angela Pelle1, Glenn A Tootle2, Lynn E Johnson3, Robert Cifelli4 and Chengmin Hsu3, (1)University of Alabama, Tuscaloosa, AL, United States, (2)University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, AL, United States, (3)NOAA Boulder, PSD2, Boulder, CO, United States, (4)NOAA Boulder, Boulder, CO, United States
 
A Markov track model for simulating Typhoon Tracks in North-Western Pacific Ocean (32159)
Byunghyun Song, Korea Meteorological Administration, Seoul, Korea, Republic of (South); Seoul National University, School of Earth and Environment Science, Seoul, Korea, Republic of (South), Balaji Rajagopalan, Univ Colorado, Civil, Environmental, and Architectural Engineering and Cooperative Institute for Research in Environmental Sciences, Boulder, United States and Gyu-Ho Lim, Seoul National University, Seoul, Korea, Republic of (South)
 
Multivariate Non-Parametric Simulation of Daily Streamflows Considering Climate Change (17897)
Uwe Haberlandt, Institute of Hydrology and Water Resources Management, Leibniz University of Hannover, Hannover, Germany
 
Improving Hydrologic Data Assimilation by a Multivariate Particle Filter-Markov Chain Monte Carlo (17145)
Dr. Hongxiang Yan1, Caleb M DeChant1 and Hamid Moradkhani2, (1)Portland State University, Civil and Environmental Engineering, Portland, OR, United States, (2)The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
 
Spatial Characterization of Flood Magnitudes from Hurricane Irene (2011) over Delaware River Basin (19687)
Ping Lu1, James A Smith2, Luciana Cunha3 and Ning Lin2, (1)Tsinghua University, Department of Earth System Science, Beijing, China, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States, (3)WEST Consultants Inc., Folsom, United States
 
Inflow forecasting model construction with stochastic time series for coordinated dam operation (27720)
Taereem Kim1, Younghun Jung1, Hanbeen Kim2 and Jun-Haeng Heo1, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Yonsei University, Department of Civil & Environmental Engineering, Seoul, South Korea
 
A New Approach in Generating Meteorological Forecasts for Ensemble Streamflow Forecasting using Multivariate Functions (30204)
Sepideh Khajehei, Portland State University, Portland, OR, United States, Shahrbanou Madadgar, University of California Irvine, Irvine, CA, United States and Hamid Moradkhani, The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
 
Generation of Daily Rainfall Scenario Based on Nonstationary Spatial-Temporal Downscaling Techniques with Multimodel Ensemble of Different GCMs (20977)
Hyun-han Kwon and Tae-Jeong Kim, Chonbuk National University, Jeonju, Korea, Republic of (South)
 
Water Resource Assessment in KRS Reservoir Using Remote Sensing and GIS Modelling (15500)
Manumohana V H1, Krushna Chandra Gouda2, Nagaraj Bhat3 and Ashoka Reddy1, (1)Karnataka State Remote Sensing Applications center, Bangalore, India, (2)CSIR CENTRE FOR MATHEMATICAL MODELLING AND COMPUTER SIMULATION, CLIMATE AND ENVIRONMENT MODELLING, BANGALORE, India, (3)Shri Madhwa Vadiraja Institute of Technology and Management, Computer science & Engineering, UDUPI, India
 
The Potential of Remotely Sensed Evapotranspiration and Soil Moisture Retrievals in Calibrating Land Surface Models (21003)
Aiswarya Kunnath Poovakka, The University of Melbourne, Parkville, Australia, Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, Luigi J Renzullo, CSIRO Land and Water, Canberra, Australia and Biju George, Integrated Water and Land Management Program, ICARDA, Cairo, Egypt
 
Regionalization and Prediction of Seasonal Precipitation in Ethiopia (8143)
Ying Zhang, University of Wisconsin Madison, Madison, WI, United States and Paul J Block, University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, United States
 
Study of Seasonal Forecasting of Typhoon in East Asia (8425)
Xiaocan SUN, University of Hong Kong, Hong Kong, Hong Kong and Ji Chen, University of Hong Kong, Civil Engineering, Hong Kong, Hong Kong
 
Can improved SSTA prediction be translated into better seasonal rainfall forecast? (11798)
Mohammad Zaved Kaiser Khan1, Ashish Sharma1, Rajeshwar Mehrotra1, Andrew Schepen2 and Qj Wang3, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)CSIRO Land and Water, Dutton Park QLD 4102, Australia, (3)CSIRO Land and Water, Highett VIC 3190, Australia
 
Skill of Global Climate Models in Capturing Dependence of Great Basin Precipitation on Pacific Modes of Variability (18296)
Kimberly Smith, University of Utah, Salt Lake City, UT, United States, Courtenay Strong, University of Utah, Department of Atmospheric Sciences, Salt Lake City, United States and Shih-Yu (Simon) Wang, Utah State University, Department of Plant, Soils and Climate, Logan, United States
 
Effects of Climate Change on Stormwater Capture Depths in the U.S. Mid-Atlantic Region (9992)
Ibraheem Khan, University of Maryland College Park, College Park, MD, United States, Glenn E Moglen, Virginia Tech-NVC - Room 424, Silver Spring, MD, United States and Klaus Hubacek, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
 
Estimation of Design Rainfall Based on Climate Change Scenario in Jeju Island (10024)
Sung-Kee Yang1, Mr. Jun-Ho Lee, Ph.D.2, Woo-Yul Jung1 and Jeju wter resources research center, (1)Jeju National University, Civil Engineering, Jeju, Korea, Republic of (South), (2)Jeju National University, Civil Engineering, Jeju, South Korea
 
Historical Climate Change Analysis over American River Watershed by Means of 137-Year Long-Term Dynamic Downscaling (14616)
Kei Ishida1, ML Levent Kavvas1, ZhiQiang Richard Chen2, Noriaki Ohara3 and Suhyung Jang4, (1)University of California Davis, Davis, United States, (2)California Department of Water Resources, Sacramento, CA, United States, (3)University of Wyoming, Civil and Architectural Engineering, Laramie, WY, United States, (4)Korea Water Resources Corporation, Korea Institute of Water and Environment, Daejeon, Korea, Republic of (South)
 
On the Predictability of SSTA Indices Relevant for Rainfall Prediction from CMIP5 Decadal Experiments (11851)
Dipayan Choudhury1,2, Ashish Sharma2, Alexander Sen Gupta3,4, Rajeshwar Mehrotra2 and Bellie Sivakumar5,6, (1)University of New South Wales, ARC Centre of Excellence for Climate System Science, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (3)Australian Research Council (ARC) Centre of Excellence for Climate Extremes and UNSW Climate Change Research Centre, Sydney, NSW, Australia, (4)University of New South Wales, Sydney, Australia, (5)Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Beijing, China, (6)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States
 
Hourly Precipitation Downscaling With Empirical Statistical Methods: Case Study near the US Eastern Coast (14462)
Yaoping Wang, Oak Ridge National Lab, Environmental Sciences Division, Oak Ridge, TN, United States and Gajan Sivandran, Ohio State University, Columbus, OH, United States
 
Downscaling using Probabilistic Gaussian Copula Regression model (31796)
Mohamed Ali Ben Alaya, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Quebec City, QC, Canada, Fateh Chebana, National institute of scientific research (INRS), Québec, QC, Canada and Taha Ouarda, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates
 
Flood Frequency Analysis of Future Climate Projections in the Cache Creek Watershed (26218)
Ida Fischer1, Toan Q Trinh1, Kei Ishida2, Suhyung Jang3, Erol Kavvas1 and ML Levent Kavvas2, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Davis, United States, (3)Korea Water Resources Corporation, Korea Institute of Water and Environment, Daejeon, Korea, Republic of (South)
 
A New Method for Radar Rainfall Estimation Using Merged Radar and Gauge Derived Fields (11260)
Mohammad Mahadi Hasan1, Ashish Sharma2, Fiona Johnson2, Grégoire Mariethoz3 and Alan Seed4, (1)University of New South Wales, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (3)University of New South Wales, Sydney, Australia, (4)Bureau of Meteorology, Melbourne, VIC, Australia
 
Comparison of Conceptual and Neural Network Rainfall-Runoff Models (12247)
Vikas Kumar Vidyarthi and Ashu Jain, Indian Institute of Technology Kanpur, Department of Civil Engineering, Kanpur, India
 
Characterizing weather and climate variability for precipitation: A data-based stochastic modeling framework (29929)
Dan Gianotti, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, Bruce T Anderson, Boston University, Earth and Environment, Boston, MA, United States and Guido Salvucci, Boston University, Department of Earth and Environment, Boston, MA, United States
 
Modeling transitions in the hydrologic and thermal regimes of Earth's largest lake system (16783)
Andrew Gronewold1, Eric J Anderson2, Peter Blanken3, Brent M Lofgren4, Jia Wang5 and Craig Stow2, (1)University of Michigan, School for Environment and Sustainability, Ann Arbor, United States, (2)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (3)University of Colorado Boulder, Department of Geography, Boulder, United States, (4)NOAA-Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (5)NOAA Ann Arbor, Ann Arbor, MI, United States
 
Improvements of Physically-Based Hydrological Modelling using the ACRU Agro-Hydrological Modelling System (24415)
Charmaine Michelle Tibe Bonifacio, Stefan Werner Kienzle, Wei Xu and John Zhang, University of Lethbridge, Lethbridge, AB, Canada
 
Forecasting Urban Water Demand via Machine Learning Methods Coupled with a Bootstrap Rank-Ordered Conditional Mutual Information Input Variable Selection Method (26782)
John Quilty, McGill University, Montreal, QC, Canada, Jan F Adamowski, McGill University, Department of Bioresource Engineering, Montreal, QC, Canada, Bahaa Khalil, McGill University, Bioresource Engineering, Montreal, QC, Canada and Maheswaran Rathinasamy, Indian Institute of Technology Delhi, New Delhi, India
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