A Collaborative Stochastic Weather Generator for Climate Impacts Assessment

Project ID: 21039
Principal Investigator: Subhrendu Gangopadhyay
Research Topic: Water Operation Models and Decision Support Systems
Funded Fiscal Years: 2021
Keywords: None

Research Question

Stochastic weather generators provide opportunities to simulate weather conditional on a multitude of variables and form a robust complementary approach to climate projections in impacts assessments studies. Though weather generators have been prominent in the literature and have demonstrated varied applications including climate impacts assessments, they don't appear to be a dominant approach that is regularly used in climate impacts assessments. A weather generator was used for a climate impacts assessment study in the Lower Santa Cruz River Basin in Arizona.

Need and Benefit

This research project will help make this weather generator more broadly usable by adding functionality so that users can process climate projection data and define seasons based on their knowledge of updated understanding of seasonality from a changing climate or defining seasons as a suite of scenarios; documenting the tool and publishing the methodology in a peer-reviewed journal; and developing a package for the widely used statistical computing platform R – suggested package/library name, rwxgen. This peer reviewed methodology and resulting tool (R-library, rwxgen) will support informed use of weather and climate data in water management applications under a changing climate.

Contributing Partners

Contact the Principal Investigator for information about partners.

Research Products

Please contact research@usbr.gov about research products related to this project.

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Last Updated: 6/22/20