We are looking for someone to work on snow mass and snow temperature DA, at NOAA/University of Colorado, in Boulder, Colorado.
Date posted
Jan. 19, 2024 5:00 pm
Application deadline
Feb. 8, 2024 5:00 pm
Organization
CIRES/NOAA at the University of Colorado Boulder
Location
Job description
The Cooperative Institute for Research in Environmental Sciences (CIRES) has an exciting opportunity for a Land Data Assimilation Scientist to join our team based at the NOAA Physical Sciences Laboratory in Boulder, CO, to work on a new snow analysis for NOAA’s global Numerical Weather Prediction (NWP) system. The successful candidate will develop an Ensemble Kalman Filter (EnKF)-based snow temperature and snow depth analysis, and then test the impact of the new snow analysis on NWP forecast skill, in weakly and strongly coupled (land/atmosphere) experiments, before making recommendations for potential future implementations of the EnKF-based snow analysis in NOAA’s operational NWP systems. This position offers the opportunity to work on core NOAA data assimilation science/research, while also contributing directly to NOAA’s operational land data assimilation capabilities.
What Your Key Responsibilities Will Be
For All Applicants (Post-doc and Research Scientist):
- Conduct innovative research contributing to snow data assimilation methodology.
- Contribute to the land data assimilation capabilities of the Joint Center of Satellite Data Assimilation (JCSDA)’s Joint Effort for Data assimilation Integration (JEDI) software platform.
- Investigate the impact of land data assimilation on forecasts of land and atmospheric variables.
- Communicate research findings through internal documentation, and/or appropriate conference presentations and peer-reviewed journal manuscripts, as appropriate.
- Other duties as assigned.
Additional responsibilities for a Research Scientist:
- Work with partners throughout NOAA to provide expert advice, and collaborate on work related to land data assimilation.
- Take a leadership role in formulating and under-taking future research related to land data assimilation at NOAA.
What We Require
For All Applicants:
- A PhD, in an applicable science, mathematics, or engineering field.
For a Research Scientist:
- At least one-year relevant experience beyond the PhD.
What You Will Need
- In-depth knowledge of at least one of data assimilation, land surface modeling, and remote sensing of land surface properties.
- Working knowledge of at least one of Fortran, C++, and python.
- The ability to work both within a team environment and conduct research independently.
- Desire and ability to work in an inclusive and collaborative work environment.
- Good oral and written communication skills in English.
What We Would Like You to Have
Applicants who may not have the preferred skills and experience outlined in this section but who meet the minimum qualifications and have passion for the work are encouraged to apply. We encourage on-the-job training for any additional skills or knowledge that become relevant to the position. Desirable qualifications are as follows:
- Experience coding and refining data assimilation algorithms and with the modeling and/or data assimilation of snow are not required, but are highly desirable.
- Experience with land and/or NWP modeling.
- Experience working with large-scale models and large data sets.
- Familiarity with modern object-oriented software development.
- Experience with running applications on high performance computing systems.
For more details
https://jobs.colorado.edu/jobs/JobDetail?jobId=53677