Opportunity at National Oceanic & Atmospheric Administration (NOAA)
Parameterization and Physically-Based Schemes for Precipitation-Runoff Models
National Weather Service, Office of Hydrologic Development
||Silver Spring , MD 20910
|Smith, Michael Bryan
The effective use of lumped and distributed models for operational river, flash flood, and water resources forecasting requires the derivation of meaningful a priori estimates of model parameters. This topic covers research into strategies for developing a priori parameters for snow accumulation and melt models, rainfall-runoff models, and hillslope and channel routing models. The need is accentuated as the NWS transitions to the use of distributed models for operational use. Ongoing research centers on the use of soil texture data at various spatial scales for the derivation of Sacramento model parameters. More work is needed that could consider the use of other basin physiographic features or modifications to the existing strategy. Model parameters may also need subsequent adjustment for climatic factors. Corresponding strategies are needed to derive a priori estimates of snow model parameters. In addition, continued research is ncessary to develop parameters for hillslope and channel routing schemes to support distributed modeling.
In addition, research is needed into the use of physically based models for operational forecasting. These are models that attempt to quantify the movement of water in the rainfall runoff process using the physics equations of water flow. As such, these models should have reduced calibration requirements since their parameters are typically defined from physical data sets. Experience in the NWS Distributed Model Intercomparison Project has shown that while promising, such models have not yet reached their full potential.
Hydrology; Hydrologic routing; GIS; Geomorphology; Distributed modeling; Hillslope-channel routing;
Open to U.S. citizens, permanent residents and non-U.S. citizens
Open to Postdoctoral and Senior applicants
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the
number of years of experience past their PhD.