PA020
Enhancing the value proposition of hydro-meteorological forecasts to inform multi-sectoral decision making.
Session ID#: 83111
Session Description:
Many flood and drought forecast products have now adopted a risk-based communication approach toward better informing decision-making. The process of adoption for those climate products includes the demonstration of the increased accuracy as well as the value of the risk-based information, which comes down to customized communication, and sometimes rethinking the processing of this new information. In a multi sectoral context, hydro-climate information is typically processed, and simplified, to complement other drivers of decision-making; evolving policies, energy market, technology innovation, etc. How can we enhance the use and value of hydro-climate information in day-ahead and long term planning strategies across activity sectors? The overarching goal of the session is to understand the perceived value of climate services and discuss the value proposition for a range of sectors. We invite researchers and practitioners to discuss how hydro-climate forecasts are being or could be customized, valued and communicated into multi-sectoral decision-support processes.
Co-Organized:
Index Terms:
1840 Hydrometeorology [HYDROLOGY]
1880 Water management [HYDROLOGY]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]
6344 System operation and management [POLICY SCIENCES & PUBLIC ISSUES]
Primary Convener: Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Andy Wood, National Center for Atmospheric Research, Boulder, CO, United States, Maria-Helena Ramos, IRSTEA, HYCAR, Antony, France and Andrea J Ray, NOAA/Earth System Research Lab, Boulder, CO, United States
Primary Liaison: Nathalie Voisin, PNNL, Seattle, WA, United States
Mind the gap: on the importance of making operational runoff forecasting systems publicly available in Russia (498340)
Oxana Erina1, Georgy Ayzel2, Natalia Varentsova3, Dmitriy Sokolov1, Lubov Kurochkina4 and Vsevolod Moreydo5, (1)Lomonosov Moscow State University, Department of Hydrology, Moscow, Russia, (2)University of Potsdam, Institute for Environmental Sciences and Geography, Potsdam, Germany, (3)Central Administration for Hydrometeorology and Ecology Monitoring, Moscow, Russia, (4)Russian State Hydrological Institute, St.Petersburg, Russia, (5)Water Problems Institute of Russian Academy of Sciences, Moscow, Russia
A preliminary evaluation framework to assess the value of flow forecasts to power system analytics (523661)
Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States, Jordan Kern, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Thomas M Mosier, Idaho National Laboratory, Idaho Falls, ID, United States and Andy Wood, National Center for Atmospheric Research, Boulder, CO, United States
Six challenges to successfully inform hydropower operation by improved hydro-meteorological forecasts (535855)
Andrea Castelletti1, Matteo Giuliani2, Maria-Helena Ramos3, Manuel Pulido-Velazquez4, Gustafson David5, Hector Macian-Sorribes6, Louise Crochemore5, Ilias Pechlivanidis5, Guillaume Thirel7 and Manon Cassagnole3, (1)Politecnico di Milano, Milano, 20133, Italy, (2)Politecnico di Milano, Milano, Italy, (3)IRSTEA, Antony Cedex, France, (4)Universidad Politecnica de Valencia, Valencia,, Spain, (5)Swedish Meteorological and Hydrological Institute, Norrköping, Sweden, (6)Universidad Politecnica de Valencia, Valencia, Spain, (7)IRSTEA, Antony, France
Do we really need inflow forecasts to improve reservoir operations? (536453)
Matteo Giuliani1, Marta Zaniolo1, Andrea Castelletti1, Guido Davoli2,3 and Paul J Block4, (1)Politecnico di Milano, Milano, Italy, (2)Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy, (3)Ca' Foscari University, Venice, Italy, (4)University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, WI, United States
Employing ensemble prediction to enhance the value of Great Lakes seasonal water supply and water level forecasts (580003)
Lauren M Fry1, Deanna Apps1, Zoe Miller1 and Andrew Gronewold2, (1)US Army Corps of Engineers - Detroit District, Office of Great Lakes Hydraulics and Hydrology, Detroit, MI, United States, (2)University of Michigan Ann Arbor, Ann Arbor, United States
The Utility of Gauge-measured Streamflow Records in Improving Month-ahead Streamflow Forecasts through Variational Data Assimilation (584299)
Amirhossein Mazrooei, North Carolina State University, Department of Civil, Construction, and Environmental Engineering, Raleigh, NC, United States, Sankarasubramanian Arumugam, NC State University, Raleigh, NC, United States and Andy Wood, National Center for Atmospheric Research, Boulder, CO, United States
Guiding nutrient application timing using the NOAA-NWS Runoff Risk Advisory Forecast tool: A case study of water quality impacts in western Lake Erie basin, USA (597053)
Asmita Murumkar1, Jay Martin2, Margaret McCahon Kalcic2, Grey Evenson2, Anna Apostel2, Jeffrey Kast2, Dustin Goering3, Andrea Thorstensen4, Abram DaSilva5, Chelsie Boles6, Todd Redder6 and Rem Confesor7, (1)Ohio State University Main Campus, Columbus, OH, United States, (2)The Ohio State University, Department of Food, Agricultural and Biological Engineering, Columbus, OH, United States, (3)NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States, (4)NWS North Central River Forecast Center, Chanhassen, MN, United States, (5)Ohio River Forecast Center (NOAA-National Weather Service), Detriot, United States, (6)LimnoTech, Ann Arbor, MI, United States, (7)National Center for Water Quality Research, Heidelberg University, Tiffin, OH, United States
Conducting usable hydro-meteorological and hydro-climatologic science in the Rocky Mountain West (Invited) (597124)
Benét Duncan, Western Water Assessment, CIRES, University of Colorado Boulder, Salt Lake City, UT, United States, Lisa Dilling, University of Colorado, Boulder, CO, United States, William Travis, Earth Lab, University of Colorado Boulder, Boulder, CO, United States, Jeff Lukas, University of Colorado Boulder, Western Water Assessment, CIRES, Boulder, CO, United States, Liz Payton, Western Water Assessment, Boulder, CO, United States and Seth Arens, Western Water Assessment, Salt Lake City, UT, United States
Enhancing Sub-seasonal Climate Forecast Skill through Post-processing at the Scales of Water Management (633430)
Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States, Sarah Ann Baker, University of Colorado at Boulder, Boulder, CO, United States and Balaji Rajagopalan, University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering and CIRES, Boulder, CO, United States
