H41A:
Advances in Hydrometeorological Predictions and Applications II Posters

Thursday, 18 December 2014: 8:00 AM-12:20 PM
Chairs:  Hamid Moradkhani, Portland State University, Civil and Environmental Engineering, Portland, OR, United States, Nathalie Voisin, PNNL, Seattle, WA, United States and Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States
Primary Conveners:  Hamid Moradkhani, Portland State University, Civil and Environmental Engineering, Portland, OR, United States
Co-conveners:  Nathalie Voisin, PNNL, Seattle, WA, United States and Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States
OSPA Liaisons:  Hamid Moradkhani, Portland State University, Civil and Environmental Engineering, Portland, OR, United States

Abstracts Submitted to this Session:

 
Joint System of the National Hydrometeorology for disaster prevention
Juyoun Lim, Kyungsuk Cho, Yei-Sook Lee, Hyun-Sook Jung, Hee-dong Yoo, DooHee Ryu and Jaeil Kwon, KMA Korea Meteorlogical Administration, Seoul, South Korea
 
WRF Performance Skills in Predicting Rainfall Over the Philippines
Gay Jane P Perez and Jay Samuel Combinido, University of the Philippines, Quezon City, Philippines
 
NECESSITY OF FLOOD EARLY WARNING SYSTEMS IN INDIA
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
 
Estimation of Extreme Rainfalls Using the DDF Curves for Han River Basin in Korea
Sunghun Kim, Hyunjun Ahn, Taereem Kim and Jun-Haeng Heo, Yonsei University, Seoul, South Korea
 
Regional Frequency Analysis of extreme rainfall events, Tuscany (Italy)
Enrica Caporali, Valentina Chiarello and Giuseppe Rossi, University of Firenze, Italy, Civil and Environmental Engineering, Firenze, Italy
 
Threshold Frequency Estimation for the Russian River, CA
Angela Pelle1, Glenn A Tootle1, Lynn E Johnson2, Robert Cifelli2 and Chengmin Hsu2, (1)University of Alabama, Tuscaloosa, AL, United States, (2)NOAA Boulder, PSD2, Boulder, CO, United States
 
A Markov track model for simulating Typhoon Tracks in North-Western Pacific Ocean
Byunghyun Song, Seoul National University, School of Earth and Environment Science, Seoul, South Korea; Korea Meteorological Administration, Seoul, South Korea, Balaji Rajagopalan, Univ Colorado, Civil, Environmental, and Architectural Engineering and Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States and Gyu-Ho Lim, Seoul National University, Seoul, South Korea
 
Multivariate Non-Parametric Simulation of Daily Streamflows Considering Climate Change
Uwe Haberlandt, Leibniz University of Hannover, Hannover, Germany
 
Improving Hydrologic Data Assimilation by a Multivariate Particle Filter-Markov Chain Monte Carlo
Hongxiang Yan, Caleb M DeChant and Hamid Moradkhani, Portland State University, Civil and Environmental Engineering, Portland, OR, United States
 
Model averaging methods to merge statistical and dynamic seasonal streamflow forecasts in Australia
Andrew Schepen, CSIRO Land and Water, Dutton Park QLD 4102, Australia and Q.J. Wang, CSIRO Land and Water, Highett VIC 3190, Australia
 
Inflow forecasting model construction with stochastic time series for coordinated dam operation
Taereem Kim, Younghun Jung, Hanbeen Kim and Jun-Haeng Heo, Yonsei University, Seoul, South Korea
 
A New Approach in Generating Meteorological Forecasts for Ensemble Streamflow Forecasting using Multivariate Functions
Sepideh Khajehei1, Shahrbanou Madadgar1 and Hamid Moradkhani2, (1)Portland State University, Portland, OR, United States, (2)Portland State University, Civil and Environmental Engineering, Portland, OR, United States
 
Water Resource Assessment in KRS Reservoir Using Remote Sensing and GIS Modelling
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
Aiswarya Kunnath Poovakka1, Dongryeol Ryu1, Luigi J Renzullo2 and Biju George3, (1)The University of Melbourne, Parkville, Australia, (2)CSIRO Land and Water, Canberra, Australia, (3)Integrated Water and Land Management Program, ICARDA, Cairo, Egypt
 
Regionalization and Prediction of Seasonal Precipitation in Ethiopia
Ying Zhang, University of Wisconsin Madison, Madison, WI, United States and Paul Block, University of Wisconsin - Madison, Madison, WI, United States
 
Study of Seasonal Forecasting of Typhoon in East Asia
Xiaocan SUN and Ji Chen, University of Hong Kong, Hong Kong, Hong Kong
 
Can improved SSTA prediction be translated into better seasonal rainfall forecast?
Mohammad Zaved Kaiser Khan1, Ashish Sharma1, Rajeshwar Mehrotra2, Andrew Schepen3 and Qj Wang4, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (3)CSIRO Land and Water, Dutton Park QLD 4102, Australia, (4)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
Kimberly Smith1, Courtenay Strong1 and Shih-Yu Wang2, (1)University of Utah, Salt Lake City, UT, United States, (2)Utah State University, Logan, UT, United States
 
Effects of Climate Change on Stormwater Capture Depths in the U.S. Mid-Atlantic Region
Ibraheem Khan1, Glenn E Moglen2 and Klaus Hubacek1, (1)University of Maryland College Park, College Park, MD, United States, (2)Virginia Tech-NVC - Room 424, Silver Spring, MD, United States
 
Estimation of Design Rainfall Based on Climate Change Scenario in Jeju Island
Sung-Kee Yang, Jun-Ho Lee and Woo-Yul Jung, 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
Kei Ishida1, ML Levent Kavvas1, ZhiQiang Richard Chen2, Noriaki Ohara3 and Suhyung Jang4, (1)University of California Davis, Davis, CA, United States, (2)California Department of Water Resources, Sacramento, CA, United States, (3)University of Wyoming, Laramie, WY, United States, (4)Korea Water Resources Corporation, Korea Institute of Water and Environment, Daejeon, South Korea
 
On the Predictability of SSTA Indices Relevant for Rainfall Prediction from CMIP5 Decadal Experiments
Dipayan Choudhury1,2, Ashish Sharma2, Alexander Sen Gupta3,4, Rajeshwar Mehrotra5 and Bellie Sivakumar2,6, (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)University of New South Wales, Climate Change Research Centre, Sydney, Australia, (4)University of New South Wales, ARC Centre of Excellence for Climate System Science, Sydney, Australia, (5)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (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
Yaoping Wang, Ohio State University Main Campus, Columbus, OH, United States and Gajan Sivandran, Ohio State University, Columbus, OH, United States
 
Downscaling using Probabilistic Gaussian Copula Regression model
Mohamed Ali Ben Alaya, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Quebec City, QC, Canada, Fateh Chebana, 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
Ida Fischer1, Toan Trihn1, Kei Ishida1, Suhyung Jang2, Erol Kavvas1 and ML Levent Kavvas1, (1)University of California Davis, Davis, CA, United States, (2)Korea Water Resources Corporation, Korea Institute of Water and Environment, Daejeon, South Korea
 
A New Method for Radar Rainfall Estimation Using Merged Radar and Gauge Derived Fields
Mohammad Mahadi Hasan1, Ashish Sharma2, Fiona Johnson3, Gregoire Mariethoz1 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
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
Dan Gianotti1, Bruce T Anderson1 and Guido Salvucci2, (1)Boston University, Boston, MA, United States, (2)Boston University, Earth and Environment, Boston, MA, United States
 
Modeling transitions in the hydrologic and thermal regimes of Earth's largest lake system
Andrew Gronewold1, Eric J Anderson1, Peter Blanken2, Brent M Lofgren1, Jia Wang1 and Craig Stow1, (1)NOAA Ann Arbor, Ann Arbor, MI, United States, (2)University of Colorado, Boulder, Boulder, CO, United States
 
Improvements of Physically-Based Hydrological Modelling using the ACRU Agro-Hydrological Modelling System
Charmaine 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
John Quilty1, Jan F Adamowski1, Bahaa Khalil1 and Maheswaran Rathinasamy2, (1)McGill University, Montreal, QC, Canada, (2)Indian Institute of Technology Delhi, New Delhi, India
 
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