Numerical Weather Prediction Scientist

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At SDG&E, we are committed to the community we call home, delivering clean, safe and reliable energy to better the lives of the people we serve in San Diego and southern Orange counties. Our commitment means 40% of the energy that SDG&E delivers to customers comes from renewable sources, exceeding California’s Renewable Portfolio Standard. We are modernizing natural gas pipelines; accelerating the adoption of electric vehicles; supporting numerous non-profit partners; and, investing in innovative technologies to ensure safe and reliable operation of the region’s infrastructure for generations to come. Learn more about our commitment to delivering clean, safe and reliable energy HERE.


Our highly trained and responsive employees with their diverse skills, talents and ideas are the reason we can deliver on our commitment and are building America’s best energy company. They are also the reason why we have been recognized with the industry’s most coveted awards. Our employees undertake challenging work, and receive highly competitive compensation and benefits. As one of the region’s largest employers, we’re always searching for talented and bright people to join our team. After all, it takes the best to build the best. Learn more about benefits HERE.


Diversity and inclusion are core values of SDG&E. Empowering our employees to be their whole selves at work is our competitive advantage. This is where new ideas come from and meaningful collaboration gets an authentic start. By bringing together people with different perspectives, diverse backgrounds and real commitment to their own individuality, we have built a stronger business. Learn more about our commitment to diversity and inclusion HERE.


Primary Purpose

The Numerical Weather Prediction (NWP) Scientist will work as part of the SDG&E meteorology team supporting utility operations and managing modeling and data applications for weather forecasting. The NWP Scientist will create and apply innovative solutions that satisfy utility operational weather analysis and forecasting requirements. Key tasks involve applying data assimilation techniques, developing new applications employing NWP data, supporting the development of the Wildfire Mitigation Plan and related data requests, verifying model output against observational data, working with data scientists to develop and implement machine learning and artificial intelligence methods for weather forecasting, and supporting daily operations and weather events.

Duties and Responsibilities

  • Work with vendors to manage and optimize SDG&E’s three High Performance Computing Clusters (HPCC) that run six ensembles of the Weather Research and Forecasting (WRF) model. Perform real-time weather analysis, operational NWP with ensemble forecasting, atmospheric data assimilation, and data quality control systems. Work as a member of an integrated team with data scientists, fire scientists, and meteorologists to develop new methods for analyzing and forecasting operational weather. Apply weather knowledge to help with algorithm development and refinement of new analysis and forecasting tools and techniques. Develop, verify, and refine numerical weather prediction techniques for utility weather operations. Validate NWP model skill and devise methods for continual improvement of the forecast system. Provide analysis of new tools and techniques for applicability to operational forecasting. Monitor peer-reviewed journal articles to identify techniques for potential application to utility weather forecasting problems. Develop NWP tools and techniques supporting the SDG&E meteorology team. Support and develop operational NWP applications in an HPCC environment. Work with data scientist to identify and implement machine learning and artificial intelligence methods focused on weather forecasting for utility applications.
  • Integrate a wide range of meteorological data to provide continuously updated weather information to better manage the impacts of weather on the electric system and identify vulnerabilities. Analyze surface observation data, satellite imagery, RADAR data, and Numerical Weather Prediction data. Maintain situation awareness at all times regarding current and expected weather conditions. Monitor and report to upper management real-time weather conditions and expected forecasts on a recurring basis during weather events and major construction operational events. Prepare and disseminate non-routine operational weather reports prior to and during significant weather events including Santa Ana winds, winter storms, heat waves, and thunderstorm outbreaks. Respond to requests for short-range weather prediction.
  • Collaborate with universities and other research groups to advance the science of Meteorology and develop new technologies and tools to promote safe, reliable operation of the electric distribution and transmission system. Serve as subject matter expert.
  • Performs other duties as assigned (no more than 5% of duties).

Required Qualifications:

  • Master’s Degree Meteorology, Atmospheric Science, or similar related field is required.
  • 5 or more years – Experience developing and supporting operational NWP systems (or components). Experience developing and verifying NWP algorithms and software systems.
  • Research focus in the field of NWP with emphasis on ensemble-based methods.
  • Strong background in a Linux development environment including experience with high-performance computing (HPC). Experience leveraging machine learning and/or artificial intelligence methods for environmental science. Experience working on cloud computing systems, especially Amazon AWS or Google Cloud. Experience using and configuring cloud-based HPC systems including Graphical Processing Unit (GPU) accelerators and Singularity.
  • Experience in programming languages such as Java, Python, Go, and/or C++, preferably scientific Python libraries/frameworks used in the geosciences (xarray, xESMF, SciPy, sklearn, MetPy, wrf-python, etc.). Proficient in writing code to visualize, analyze, and assess weather forecasts and data.
  • Deep understanding of the Weather Research and Forecasting (WRF) model, including model parameterizations.
  • Knowledge of meteorological data formats like METAR, GriB, NetCDF, etc. Advanced
  • Must be able to manage time effectively, perform under pressure, and meet deadlines in a fairly fast-paced environment.
  • Ability to review, analyze and recommend improvements to systems, processes and measures of performance.
  • Ability to assess issues from multiple organizational and functional perspectives and discern an ideal proposal with more optimal results when appropriate.
  • Proficiency in data management skills, as well as general understanding of GIS techniques.
  • Demonstrate solid interpersonal and communication skills.
  • Must be proficient in the use of applications and tools (e.g. Word, Excel, Access, PowerPoint, Microsoft Project, etc.).

Desired Qualification:

  • Ph.D. Meteorology, Atmospheric Science, or similar related field is desired.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.