H119
Water and Society: Interdisciplinary Perspectives on Hydroclimatic Forecasting for Water Resources Decision-Making
Session ID#: 159287
Session Description:
Advances in hydroclimatic forecasting methodologies, along with improvements in decision processes, information provision, and institutional capacity can support water resources decision making in an effective manner. However, changing climate and watershed conditions, leading to nonstationary processes, and the limited ability to insure against poor forecasts, pose great challenges for forecast use. To bring together communities of practice, boundary organizations, and researchers, this session welcomes interdisciplinary and cross-sector perspectives on the use of hydroclimatic forecasts for water resources systems planning, design, and operations decision-making. Advances in hydroclimatic forecasting including accuracy, timeliness, uncertainty quantification, and communication will be addressed, along with improvements in the delivery and usability of forecast information. Also, case studies of actual or experimental use of forecasts in the water sector and associated food, energy, and disaster management contexts will be highlighted.
Index Terms:
1807 Climate impacts [HYDROLOGY]
1816 Estimation and forecasting [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
1880 Water management [HYDROLOGY]
Primary Convener: Ximing Cai, University of Illinois, Urbana, IL, United States
Conveners: David W Watkins Jr, Michigan Technological Univ, Houghton, MI, United States, Paul J Block, University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, WI, United States and Hamid Moradkhani, The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States
From Forecasts to Services: Evolving Applications of the South and Southeast Asia Sub-seasonal to Seasonal Hydrological Forecasting System (SAHFS-S2S) (Invited) (1045915)
Benjamin F Zaitchik, Johns Hopkins University, Earth and Planetary Sciences, Baltimore, United States, Faisal M. Qamer, International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal, Yifan Zhou, Johns Hopkins University, Baltimore, United States and Kiran Shakya, ICIMOD, Kathmandu, Nepal
Using Ensemble Streamflow Forecasts to Improve Seasonal Outlooks of Water Allocation (Invited) (1054362)
Q. J. WANG1, Tristan Graham2, Yating Tang1, Andrew William Western3, Wenyan Wu1, Guy Ortlipp4, Mark Bailey4, Senlin Zhou5, Kirsti Hakala2 and Qichun Yang1, (1)The University of Melbourne, Parkville, Australia, (2)The University of Melbourne, Melbourne, Australia, (3)University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, (4)Goulburn-Murray Water, Tatura, Australia, (5)Bureau of Meteorology, Docklands, Australia
A Semi-distributed modeling framework for coupled surface-subsurface urban runoff routing: concepts, parameterization, and validation (1057561)
Hong-Yi Li, University of Houston, Houston, TX, United States, Taher Chegini, University of Houston, Houston, United States, L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, Zeli Tan, Pacific Northwest National Laboratory, Richland, WA, United States and Tian Zhou, Pacific Northwest National Laboratory, Richland, United States
Comparison of Classic Time Series Forecasting Methods and Deep Learning Models for Reference Evapotranspiration Forecasting (1079552)
Arman Ahmadi1, Andre Daccache1, Mojtaba Sadegh2 and Richard L Snyder3, (1)University of California, Davis, Biological and Agricultural Engineering, Davis, United States, (2)Boise State University, Department of Civil Engineering, Boise, ID, United States, (3)University of California, Land, Air & Water Resources, Davis, CA, United States
Leveraging spatial patterns in precipitation forecasts using deep learning to support regional water management (1090024)
Jonathan D Herman, University of California Davis, Davis, United States, Chen Zhang, University of California Davis, Civil & Environmental Engineering, Davis, United States, Zachary Brodeur, Cornell University, Ithaca, NY, United States and Scott Steinschneider, Cornell University, Ithaca, United States
Perspectives on Flood Risk, Vulnerability, and Early Warnings in Peru (1113871)
Hugh Roland1, Kristen Malecki2, Donghoon Lee3, Dominique Brossard4, Katherine Curtis1, Chris Wirz5 and Paul J Block6, (1)University of Wisconsin Madison, Madison, United States, (2)University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States, (3)University of California Santa Barbara, Santa Barbara, CA, United States, (4)University of Wisconsin Madison, Madison, WI, United States, (5)National Center for Atmospheric Research, Boulder, United States, (6)University of Wisconsin Madison, Civil and Environmental Engineering, Madison, WI, United States
On the quest for practicable decadal hydrologic projections: A spectrally transformed hybrid empirical-dynamical approach (1132617)
Ashish Sharma1, Ze Jiang2 and Dipayan Choudhury1, (1)University of New South Wales, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
Improving Sub-seasonal to Seasonal Forecast for Better Predictions upon the Occurrence of Extreme Precipitation Events over the Contiguous United States (1132816)
Lujun Zhang1, Tiantian Yang1, Shang Gao1, Yang Hong1, Qin Zhang2, Xin Wen3 and Chuntian Cheng4, (1)University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (2)NOAA Climate Prediction Center, College Park, United States, (3)Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China, (4)Dalian University of Technology, Institute of Hydropower and Hydroinformatics, Dalian, China
Exploring the Seasonal Predictability and Uncertainty of Water Temperature and Thermal Impacts to Endangered Fish in a Managed River System (1137482)
James M Gilbert, University of California Santa Cruz, Santa Cruz, CA, United States, Miles Eric Daniels, University of California Santa Cruz & NOAA Southwest Fisheries Science Center, Santa Cruz, CA, United States and Eric Danner, NOAA Fisheries, Santa Cruz, CA, United States
Value of medium range inflow forecast for hydropower scheduling flexibility (1168380)
Nathalie Voisin1, Jordan D Kern2, Scott Steinschneider3, Sean William Donald Turner4, Henry Ssembatya2 and Sungwook Wi5, (1)Pacific Northwest National Laboratory, Richland, United States, (2)North Carolina State University, Forestry and Environmental Resources, Raleigh, United States, (3)Cornell University, Ithaca, United States, (4)Singapore University of Technology and Design, Engineering Systems and Design, Singapore, Singapore, (5)Cornell University, Department of Biological and Environmental Engineering, Ithaca, United States
What are the characteristics that contribute to seasonal forecast value for informing management decisions of irrigated agriculture? (1169293)
Chen Xu1, Kirti Rajagopalan2, Michael Brady3, Jennifer C Adam1, Mingliang Liu4 and Ashish Kondal5, (1)Washington State University, Civil and Environmental Engineering, Pullman, WA, United States, (2)Washington State University, Biological Systems Engineering, Pullman, WA, United States, (3)Washington State University, School of Economic Sciences, Pullman, WA, United States, (4)Washington State University, Pullman, WA, United States, (5)West Virginia University, Morgantown, WV, United States
Flood Early Warning Systems in Nepal: State-of-the-art, advantages, and opportunities (1190404)
Januka Gyawali, Practical Action Consulting South Asia, Kathmandu, Nepal, Maggie Creed, University of Glasgow, Glasgow, United Kingdom and Dharam Uprety, Practical Action Nepal, Kathmandu, Nepal
Advancing the Operation of Multipurpose Water Reservoirs with Multi-timescale Forecasts: Application to Lake Como (1191956)
Andrea Ficchì1, Andrea Castelletti1, Matteo Giuliani2 and Dennis Zanutto1, (1)Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Milano, Italy, (2)Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, Italy
