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
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
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)
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)
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
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
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
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
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
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