Mesoscale Data Assimilation Scientist

Boulder, CO
Jul 13, 2018
Institution Type
Four-Year Institution

The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado and the NOAA Earth System Research Laboratory (ESRL) have an immediate opening for a research associate with experience in mesoscale satellite data assimilation and numerical weather prediction. The scientist will have an appointment within the Assimilation Development Branch (ADB) of the ESRL Global Systems Division.

The scientist will develop and test modifications in data assimilation procedures for satellite and other observations in mesoscale and storm-scale models, including assimilation of satellite-derived cloud and precipitation products. The scientist will work in collaboration with other scientists in ESRL/GSD/ADB. This work will include development for the HRRR and Rapid Refresh (RAP) assimilation systems using the GSI (Gridpoint Statistical Interpolation) assimilation and the WRF (Weather Research and Forecast) model. It will also involve work with NOAA's Next-Generation Global Prediction System (NGGPS) including the FV3 model and the JEDI data assimilation system as it is developed with a focus on short-range forecast and nowcasting applications. The scientist will work as part of team in testing and refining algorithms for real-time operational application. The position is located in Boulder, Colorado. Salary will be commensurate with experience.

Minimum Requirements

• M.S. in the atmospheric sciences or a closely related discipline
• Experience in developing and testing data assimilation techniques and codes
• Experience analyzing satellite observations and their impact in data assimilation systems
• Strong desire to improve operational NWP capabilities
• Strong desire to support research community in applying operational data assimilation systems
• Strong ability to communicate effectively (verbal and written) and work effectively in a team environment.
• Experience with numerical weather prediction models

Highly Desirable Skills

• PhD in the atmospheric sciences or a closely related discipline
• Experience with use of GSI data assimilation
• Experience with satellite observations including an understanding of the retrieval methods used to derive cloud and precipitation variables from satellite observations, and in particular the uncertainties in these retrieval methods
• Understanding of statistical principles underlying meteorological data assimilation
• Experience with ensemble-based data assimilation systems and their application
• Experience with WRF mesoscale model (use and development)
• Fluent knowledge of Fortran and Fortran 90 including debugging and optimizing code.
• Proficiency in UNIX-based scripting languages
• Expertise with Linux and UNIX operating systems
• Knowledge of synoptic meteorology and forecasting experience
• Experience maintaining robust community code in a real-time environment
• Experience with the verification of high-resolution meteorological forecasts
Special Instructions to Applicants:The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at

Application Materials Required:Cover Letter, Resume/CV, 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 - CV; 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 -A non-confidential letter of reference 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

Schedule: Full-time

Posting Date: Jul 12, 2018

Closing Date: Ongoing

Posting Contact Name: Nancy Lathrop

Posting Contact Email:

Position Number: 00749819


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