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 an NWP Project Scientist, 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
- 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
- Leadership experience and a 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
- 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