[Met-jobs] Research scientist position: ensemble data assimilation, Boulder
The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado is seeking a research scientist to develop and test next-generation ensemble-based data assimilation capabilities for NOAA’s global numerical weather prediction system. This work will be performed at NOAA’s Earth System Research Laboratory (ESRL) in collaboration with colleagues at ESRL (primarily Drs. J. Whitaker and T. Hamill) and the National Centers for Environmental Prediction (NCEP).
- Improving the ensemble Kalman filter (EnKF) system that provides the ensemble used to estimate the background-error covariance within NOAA’s operational hybrid ensemble-variational data assimilation system. This will include improving the treatments of model uncertainty and sampling error.
- Improving the use of satellite radiances in the EnKF.
- Incorporating the ensemble-based covariance estimate in the variational observation quality control algorithm.
- Running extensive, controlled retrospective tests of the cycled data-assimilation/forecast system, and analyzing the impacts of potential system upgrades.
- Working closely with NCEP to manage the transition of successfully tested upgrades into operations.
- Publishing articles in peer-reviewed journals describing the research results.
The applicant will be expected to work with PSD, NOAA, and other agency staff in a team environment. She/he will also work with PSD staff to document and present the results in the form of journal articles, seminars, and conference presentations.
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