Convection-permitting to convection-resolving data assimilation and numerical weather prediction.
Earth System Research Laboratories, Global Systems Laboratory
Successful analysis and prediction of hazardous weather requires accurate data assimilation and numerical weather prediction at high temporal frequency and high spatial resolutions. The Assimilation and Verification Innovation Division (AVID) at GSL leads research to design, develop, and improve rapidly updating models at convection-permitting and convection-resolving scales. GSL specializes in transferring these scientific advances to operations at the National Weather Service. The innovations are of paramount importance for many applications including severe and hazardous weather, aviation/transportation, hydrology, and energy.
Development of the Rapid Refresh Forecast System (RRFS), the regional, convection-permitting, and rapidly updating model within NOAA’s Unified Forecast System (UFS) is underway at GSL/AVID. There are research opportunities for postdoctoral study in data assimilation, modeling, and verification that can contribute to RRFS and future operational modeling systems. Examples include: Exploration of new observation inputs (e.g. UAS, additional satellite information). Advances for existing observation inputs (e.g. radar, aircraft). Improving the application of ensemble and ensemble-variational data assimilation techniques and exploration of new techniques (e.g. particle filters, machine learning).
Experience Supplement
Postdoctoral and Senior awardees will receive an appropriately higher stipend based on the number of years of experience past their PhD.
Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.
A group health insurance program is available to awardees and their qualifying dependents in the United States.