Opportunities exist to conduct basic and applied research on atmospheric predictability using ensembles, adjoint, and singular vector techniques. Focus areas include the identification of rapidly growing structures in the initial errors that can lead to forecast failure, examination of the mechanisms responsible for this rapid growth, and the development of techniques to mitigate these problems and their impact on operational forecasting. Research is conducted using exceptional state-of-the-are tools such as the Navy Global Environmental Model, the Navy Earth System Model, and variational data assimilation systems, as well as ensembles of these systems. Research areas include ensemble prediction and its applications, four-dimensional variational data assimilation techniques, and adaptive observations, with an emphasis on high-impact weather phenomena, such as extratropical and tropical cyclones, and the Madden Julian Oscillation.

 

key words

Adaptive observations; Adjoint models; Atmospheric predictability; Data assimilation; Ensembles; Meteorology; Numerical weather prediction; Singular vectors; Madden Julian Oscillation;

Citizenship:  Open to U.S. citizens and permanent residents

Level:  Open to Postdoctoral applicants