Hydrometeorology Modeling and Applications Team
Fresh water is one of our nation's most precious and valuable natural resources. The management of this resource requires accurate and timely information on precipitation and surface processes for water managers to make appropriate decisions regarding infrastructure and resources. Knowledge of both the amount and uncertainty of precipitation and streamflow information is also required by forecasters to produce robust hydrologic simulations of stream discharge, to issue flood warnings to the public, and improve overall awareness related to incoming storms. Recent studies have shown that climate change will increase the occurrence of extreme precipitation events over time, further highlighting the need for reliable information.
PSD's Hydrometeorology Modeling and Applications Team is focused on advancing hydrometeorology methods, models and applications to address weather and climate extremes. This information is used to provide guidance on observing network design, modeling assimilation and analysis, and predictions that can be applied in National Weather Service operations as well as informing local, regional, and national communities, planners, and decision makers.
Current Research Activities
|Examining observations, model simulations and reanalysis datasets to better understand key physical processes. Such examination was used for a recent study on important physical processes driving extreme precipitation events in the southeastern US.||Contributing to NOAA’s Hydrometeorology Testbed (HMT) through analysis of data from field experiments and atmospheric and hydrologic models.|
|Evaluating precipitation & hydrologic forecasts, and developing prototype tools for use in forecast operations. For example, a frost forecast tool was developed and used by wine growers & water managers in California||Integrating monitoring, analysis, and prediction systems in a "Sea to Summit to Sea" approach to improving management of water resources.|
|Improving process understanding of the drivers, trends, and impacts of drought; and contributing to drought monitoring and early warning decision support tools.||Retrieving cloud properties and precipitation processess to improve rainfall estimates and forecasts.|