[ES_JOBS_NET] Research Team Lead: Numerical Weather Prediction - ClimaCell, Boulder, CO
Christine Wiedinmyer
christine.wiedinmyer.ucar at gmail.com
Fri May 31 10:40:14 MDT 2019
https://hire.withgoogle.com/public/jobs/climacellco/view/P_AAAAAADAADfPAnHzC
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Research Team Lead: Numerical Weather Prediction - Boulder, CO
* Meteorology
* Boulder, CO, USA
<http://www.climacell.co/> ClimaCell is embarking on a stealth project that
requires a deep understanding and experience with Numerical Weather
Prediction (NWP) systems and components. We are developing novel techniques
for gathering and assimilating weather data into real-time analysis and NWP
systems. In addition to working with traditional data sources and modeling
outputs, we're building our own approach for integrating new measurements
from proprietary data sources into weather monitoring and forecasting
systems, as well as developing new forecast products using all of these
data.
As a Research Team Lead for our NWP Team, you will conduct independent
research and development of applications for weather forecasting, real-time
weather analysis, data assimilation, and data quality control systems. Most
of your work will be spent performing Research to Operations (R2O) by
leading a team to build NWP prototypes and demos in a cloud HPC environment
and then supporting and expanding those capabilities into operations. A
successful candidate will be able to identify a spectrum of solutions for a
given problem, building on established successes in the field - but with a
keen eye on where ClimaCell can innovate with new approaches.
What it takes
* A Ph.D in Meteorology, Atmospheric Science, or similar is
required; a research focus in the field of NWP with emphasis on
ensemble-based DA methods is a strong plus
* 1+ years experience managing and leading a small (or medium)
sized team is required
* 4+ years as a senior scientist including a leadership role is
preferred
* 2+ years experience developing and supporting operational NWP
systems (or components) is highly desirable
* Deep understanding and experience with the Weather Research and
Forecasting (WRF) model and the Gridpoint Statistical Interpolation (GSI)
data assimilation (DA) system and/or the WRF DA (WRFDA) system is required
* Experience and/or extensive familiarity with the Model for
Prediction Across Scales (MPAS)
* Strong background in developing and supporting NWP systems in an
operational setting
* Strong background in a Linux development environment including
experience with high-performance computing (HPC) is required
Bonus points
* Experience establishing V&V metrics and performing V&V analyses of
NWP systems
* Understanding of the WRF, MAPS and GSI functionality at the
Fortran code level, not just the namelist level
* Experience with meteorological observation data QA/QC
* Experience using and configuring cloud-based HPC systems including
Graphical Processing Unit (GPU) systems
* Proficient in writing code to visualize, analyze, and assess
weather forecasts and data.
* Proficient in programming languages such as Java, Python, Go, C++,
etc. but preferably Python
* Experience performing radar reflectivity DA and/or DA of other
precipitation indicators such as from satellites
* Experience performing satellite radiance DA in all-sky conditions
* Experience compiling the WRF/WRFDA/GSI/MPAS codes including
debugging and optimization settings
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