CIRES/ PSD Ensemble-Based Data Assimilation Development
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).
Job Responsibilities :
• 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.
Technical qualifications a Ph. D. degree in atmospheric science, or related discipline, and at least two years experience in atmospheric or oceanic data assimilation research. Experience with hybrid ensemble-variational data assimilation systems is desirable but not essential. The applicant should have demonstrated experience developing structured code in Fortran90, UNIX scripting, and running jobs on high-performance supercomputers. Experience with the python programming language is desirable.
The applicant should be able to speak and write English well. The candidates will be expected to be able to both work independently and in a team environment. Some travel may be required, at the level of 1-2 trips/year.
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Application Materials Required:Cover Letter, Reference Letters (Not Confidential), Unofficial transcript(s)
Application Materials Instructions:Applicants must complete the Faculty/University Staff and EEO Data (application) form, and upload the following required documents: 1 - Cover Letter; 2 - Resume; 3 - The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; 4 -One letter of recommendation This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.
Job Category: Faculty
Primary Location: Boulder
Department: B0001 -- Boulder Campus - 10080 - Coop Inst Res/Envrm Sci - Dir
Posting Date: Oct 14, 2016
Closing Date: Ongoing
Posting Contact Name: karen dempsey
Posting Contact Email: firstname.lastname@example.org
Position Number: 00674814