CEDAR email: Job opening: NWP Data Assimilation Scientist at Spire Global (Boulder Office)
Matthew Hei
matthew.hei at spire.com
Fri Feb 7 16:19:03 MST 2020
Spire Global invites applications for one Data Assimilation Scientist
position (Numerical Weather Prediction) in our Boulder, Colorado office.
Applications may be submitted via the Spire website:
https://spire.com/en/spire/careers/2019600
Questions about the position may be directed to the following:
Matthew Hei, NWP Data Assimilation, matthew.hei at spire.com
Dusanka Zupanski, Director NWP Data Assimilation, dusanka.zupanski at
spire.com
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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 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.
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