IRP Proposals Accepted February 11 - March 25
The CIRES Innovative Research Program will begin accepting applications February 11; all materials are due March 25 through this InsideCIRES link.
The IRP is designed to stimulate a creative research environment within CIRES and to encourage synergy between disciplines and research colleagues. The intent is to support small research efforts that can quickly provide concept viability or rule out further consideration. The program encourages novel, unconventional or fundamental research that might otherwise be difficult to fund. Funded projects are inventive, sometimes opportunistic, and do not necessarily have an immediate practical application or guarantee of success. This program supports pilot or exploratory studies, which may provide rapid results. Activities are not tightly restricted and can range from instrument development, lab testing, and field observations to model development, evaluation, and application.
2019-02-11 to 2019-03-25
Cryospheric and Polar Processes Seminar
Advancing Water Supply Forecasts in the Colorado River Basin for Improved Decision Making by Paul Micheletty, Research Hydrologist at RTI International
Abstract: Water supply forecasting in the western United States is inextricably linked to snowmelt processes, as approximately 70-85% of total annual runoff comes from water stored in seasonal mountain snowpacks. Snowmelt-generated streamflow is vital to a variety of downstream uses; the Upper Colorado River Basin (UCRB) alone provides water supply for 25 million people, irrigation water for 3.5 million acres, and drives hydropower generation at Lake Powell. April-July water supply forecasts produced by the National Weather Service (NWS) Colorado Basin River Forecast Center (CBRFC) are critical to basin water management. The primary objective of this project as part of the NASA Water Resources Applied Science Program, is to improve water supply forecasting for the UCRB by assimilating satellite and ground snowpack observations into distributed hydrologic models. In addition, we are working with stakeholders Denver Water and the Dolores Water Conservancy District to demonstrate how the probabilistic ensemble forecast information can be used to improve water management decision making.
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