Global prediction is shifting towards earth system models where different models (e.g., atmosphere, ocean, wave, sea ice, aerosols, land) are coupled to produce short-range to seasonal forecasts. In NRL's atmospheric global modeling group, basic and applied research is being performed on (1) coupling mechanisms and processes, (2) subseasonal-to-seasonal prediction, (3) model diagnostics, (4) systematic biases in coupled models, and other aspects of coupled modeling. We are interested in prediction in many regions (e.g., polar, tropical, mid-latitudes) and the teleconnections between these regions. Potential research topics include, but are not limited to parameterization development, earth system processes, predictability, ensemble development, data assimilation, and post-processing. Polar atmospheric prediction and diagnostics are a major focus because of the expected increase in Arctic operations. Another focus area is improving subseasonal-to-seasonal tropical cyclone prediction through improving physics parameterizations and post-processing.

Additional Benefits

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.