Filling the gaps between
Spirepedia
Reach Us
Reach Us

Data Assimilation Scientist - NWP

Location
Spire — Boulder
Data Assimilation Scientist - NWP - image

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.

 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 a global NWP model. The assimilation of Spire’s own GNSS data into this model represents a unique opportunity; never before 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 the NWP model.
  • Developing and implementing methodologies for estimating forecast sensitivity to observations.
  • Combining data assimilation and machine learning methods.
  • Working with the Spire software engineering team to define most effective software solutions.
  • 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.

Qualifications: 

  • Applicants must have either a MS or PhD degree in Meteorology, Atmospheric Science, Mathematics, or equivalent working experience in DA methods.
  • Working experience with cutting-edge DA methods such as 4D-Var or hybrid ensemble-variational methods is strongly preferred; experience with ensemble Kalman filter (EnKF), 3D-Var, and other techniques is also of interest.
  • Working experience with DA systems involving community NWP models such as FV3, MPAS and GFS.
  • 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) and software tools (e.g., ESMF) 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.

 

#LI-SH1

Space Program Engineering11

Weather Engineering6

Space Program Science & Research1

Weather Science & Research1

Legal1

BMSS (Sales and Marketing)12

If you are looking for an internship or don't see a job that fits, you can email
a cover letter and resume to jobs@spire.com