Data Assimilation Scientist

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Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.

Role:

Spire Global is seeking a Data Assimilation Scientist to contribute to the development of advanced Data Assimilation (DA) methods; they will utilize data from Spire’s GNSS-RO/GNSS-R satellite constellation and other sources to create world-class Numerical Weather Prediction (NWP) forecasts. This is an exciting opportunity for motivated scientists to make a difference through advancing DA techniques and assimilating unprecedented numbers of Radio Occultation (GNSS-RO) and Reflectometry (GNSS-R) observations. The successful candidate will join the Data Assimilation Group in Boulder, Colorado; they will work on issues of international significance with top-level scientists at Spire, as well as scientists from around the world.

Responsibilities: 

The successful candidate will work with Spire DA, weather forecast, and software engineering teams to implement and evaluate cutting-edge DA methods. They will assimilate space, air, and ground-based observations into NWP models. The assimilation of Spire’s own GNSS data into this model represents a unique opportunity; never have so many GNSS observations been assimilated into an NWP model. Responsibilities will include the following:

  • Proposing and implementing innovative approaches to DA, data processing and quality control.
  • Implementing cutting-edge capabilities for assimilating GNSS-RO, GNSS-R and other satellite data into NWP models.
  • Combining data assimilation and machine learning methods.
  • Working with the Spire software engineering team to define most effective software solutions.
  • Working with the DA team on a recently funded NASA proposal to assimilate CYGNSS ocean surface wind observations and participate in the CYGNSS Competed Science Team.
  • Collaborating with the JCSDA/JEDI community on unified DA and observation operator development.
  • Presenting research findings at scientific conferences or workshops and publishing scientific papers.

Basic Qualifications:

  • MS or PhD degree in Meteorology, Atmospheric Science, Mathematics, or equivalent working experience in DA methods.

Preferred Qualifications: 

  • Working experience with cutting-edge DA methods such as 4D-Var or hybrid ensemble-variational methods.
  • Working experience with DA systems involving community NWP models such as FV3, WRF and MPAS.
  • Working experience with JCSDA/JEDI DA tools and forward operators.
  • Working knowledge of Fortran, Python, Linux scripting and version control (e.g., Git, SVN, Bitbucket).
  • Working experience with meteorological data formats (e.g., NetCDF, BUFR, and GRIB) is desirable.
  • Knowledge of optimal control theory and minimization methods is desirable.
  • Demonstration of enthusiasm and ability to work in a development team that never stops improving DA methods and results.

 

Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

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Colorado Salary Band $112,000 - 157,000