Innovations and collaborations to improve monitoring, modeling, and prediction of water availability
Innovations and collaborations to improve monitoring, modeling, and prediction of water availability
Session ID#: 124299
Session Description:
In our rapidly changing world, there is an increasingly urgent need for a more nuanced and accurate characterization of water availability, especially in mountains that serve as critical water towers. Advancements in monitoring technologies, hydrologic modeling, and data science have created opportunities for innovative and collaborative approaches to understand water availability (e.g., snowpack, soil moisture, vegetation state, streamflow) and land-atmosphere interactions at regional and local scales. This session will explore opportunities for more integrated research endeavors that connect disciplines and/or research networks in ways that improve predictions and address research gaps. We invite contributions on (1) integration of existing data and approaches that connect continuous in situ monitoring, remote sensing, and hydrology and snow modeling, (2) science-water resource management collaborations, and (3) cross-basin and other innovative partnerships that advance methodologies and improve data quality, management, and accessibility.
Co-Sponsor(s):
- AMS: American Meteorological Society -
Index Terms:
1847 Modeling [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1884 Water supply [HYDROLOGY]
Primary Convener: Julie A Vano, Aspen Global Change Institute, Basalt, CO, United States
Conveners: Jeffrey S Deems, University of Colorado, Boulder, CO, United States, Mark S Raleigh, Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, OR, United States and Elise C Osenga, Aspen Global Change Institute, Basalt, CO, United States
Primary Liaison: Elise C Osenga, Aspen Global Change Institute, Basalt, CO, United States
See more of: Hydrology