Institute: Minnesota
USGS Grant Number:
Year Established: 2020 Start Date: 1970-01-01 End Date: 1970-01-01
Total Federal Funds: $81,247 Total Non-Federal Funds: Not available
Principal Investigators: Vipin Kumar
Project Summary: Water temperature plays a key role in many societally relevant outcomes and, hence, many data-driven and process-based modeling approaches to predicting water temperature have been developed. Both modeling approaches have significant drawbacks, but new process guided data science (PGDS) approaches promise improved modeling performance. Thus, the objective of this proposal is to develop PGDS techniques for temperature modeling for aquatic systems.