Opportunity at National Oceanic & Atmospheric Administration (NOAA)
Real-Time Precipitation Estimation
National Weather Service, Office of Hydrologic Development
||Silver Spring , MD 20910
|Smith, Michael Bryan
The objective of this research is to develop real-time precipitation estimation techniques using Weather Surveillance Radars-1988 Doppler version (WSR-88D), precipitation gages, and satellites to support operational hydrologic forecasting in the National Weather Service. Potential topics in radar rainfall estimation include (1) (near) real-time stratification/classification of Z-R parameters based on environmental variables (including numerical weather prediction model output) and storm morphology, (2) real-time correction of range degradation as a result of vertical reflectivity gradient, (3) real-time detection and correction of bright band, and (4) real-time detection and correction of ground clutter (particularly precipitation embedded) as a result of anomalous propagation. Potential topics in multisensor rainfall estimation include (1) real-time correction of biases in remotely sensed data, (2) real-time rainfall estimation using simultaneous observations from multiple sensors (particularly in the mountainous areas), and (3) objective use of environmental data (e.g., surface temperature and sounding data) in real-time multisensor estimation.
Another research area focuses on developing methodologies for probabilistic precipitation estimation to support ensemble hydrologic forecasting in the National Weather Service. Potential topics include (1) quantification of the uncertainties in radar and satellite estimates of rainfall by second-order analyses and simulation, and (2) precipitation gage-based estimates of mean areal precipitation by second-order analyses and conditional simulation.
Precipitation (meteorology); Radar; Real time;
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.