Opportunity at National Oceanic & Atmospheric Administration (NOAA)
Applications of Cloud-Scale and Mesoscale Models to Operational Forecasting
National Severe Storms Laboratory
||Norman, OK 73072
|Brooks, Harold E.
The challenges and opportunities of operational forecasting are increasing as both new observing systems and numerical prediction models produce more detailed pictures of the atmosphere. There are many difficulties involved with the intelligent use and interpretation of these vast amounts of data to provide better forecasts and warnings to the public. Therefore, we examine the ability of current research models to simulate severe weather events (e.g., supercell thunderstorms, flash floods, and damaging winds) and the environments in which they form. We also investigate various methods to use model output to the greatest advantage in a forecast situation. One approach couples mesoscale and cloud-scale models, with the mesoscale model producing the evolution of regions of deep convection and their surrounding environments over a given prediction interval. The cloud-scale model ingests input from the mesoscale model upstream of convective regions to define the undisturbed, preconvective environment, and produces a simulation of a convective storm at much higher horizontal and vertical resolution. The cloud model output is used to examine the various modes of convective activity that may occur within the environments produced by the mesoscale model. Other interest areas include ensemble forecasting, model initialization techniques, and the development of new methods to analyze and display model output.
Weather forecasting; Atmospheric models; Mesoscale meteorology; Clouds; Convection (atmospheric);
Open to U.S. citizens, permanent residents and non-U.S. citizens
Open to Postdoctoral and Senior applicants
$24,000 Supplement for Doctorates in Electrical Engineering
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the
number of years of experience past their PhD.