The National Oceanic and Atmospheric Administration (NOAA) awarded Duke University a $154,138 Cooperative Agreement under the Climate and Atmospheric Research (CFDA 11.431) federal grant program. The purpose of this 3-year award is to evaluate and improve the modeling of sub-grid space-time patterns of land surface temperature within NOAA's GFDL land model. The project will leverage satellite remote sensing data to assemble a global dataset of observed land surface temperature patterns, implement new modeling capabilities within the GFDL land model, and perform sensitivity analyses to enhance NOAA's ability to predict drought, heat, and flood events for local stakeholders. This work aims to better represent the role of heterogeneous land surfaces in hydrological and temperature extremes, improving the fidelity of NOAA's climate modeling capabilities.
Generated 3/4/25, 7:18 AM