NREL Wind Resource Modeling and Characterization Researcher III in Boulder, Colorado
Wind Resource Modeling and Characterization Researcher III
CO - Boulder
Hours Per Week
The National Wind Technology Center is seeking an atmospheric scientist to contribute to state-of-the-art wind resource modeling, characterization, and validation conducted at NREL. Offshore wind resource characterization will be a particular focus of this position. Given the emergence of the offshore wind industry in the United States, there is an urgent need for accurate mesoscale modeling of the resource and the validation of those models using available offshore observations.
The candidate will conduct research and provide leadership in the following areas:
Mesoscale modeling of atmospheric variables relevant to wind energy, including wind speed, wind direction, atmospheric stability, and turbulence using the Weather Research and Forecasting (WRF) model
Sensitivity analyses of WRF output to different model inputs, setups, and parameterizations
Gathering, processing, and quality-control of observational measurements
Validation of WRF model output using observational data
Uncertainty quantification of the mesoscale wind resource
This scientist is expected to demonstrate a broad understanding and wide application of atmospheric principles, theories and concepts as well as general knowledge of wind energy related disciplines and applications. The scientist will be involved in strategic development of the wind resource characterization program and work with a wide variety of customers including the DOE energy technology programs and the wind industry.
The successful candidate will have excellent writing, interpersonal and communication skills. The candidate will be expected to publish results
in high impact technical journals and present work at conferences, symposia, and review meetings. They will also be expected to support the development of new work proposals, preparations, and reviews.
The preferred candidate will have experience with mesoscale modeling tools used for wind resource characterization by the wind industry, namely WRF. The preferred candidate will have expertise in atmospheric observational platforms and data analysis techniques for buoy-, tower-, and remote sensing-based measurements. The preferred candidate will be familiar with resource assessment, forecasting, and energy assessment processes used by the wind industry, including the data analysis and uncertainty processes. Experience in leading large projects will be an advantage
PhD in Engineering, Science, Math or related Or, Master's Degree in Engineering, Science, Math or related and 3 or more years of research experience. Or, Bachelor's Degree in Engineering, Science, Math or related and 5 or more years of research experience.
Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field.
Demonstrates leadership in one or more areas of team, task or project lead responsibilities.
Demonstrated experience in management of projects.
Very good technical writing, interpersonal and communication skills.
Expertise in the field of wind energy meteorology
Expertise in using and validating the WRF mesoscale model
Expertise in a Linux-based high-performance computing environment
Proficiency in Unix, Perl and Python scripting languages
Proficiency in GitHub for collaborative software development
Experience in processing and analyzing observed and modeled atmospheric data, including data from meteorological towers, remote sensing instrumentation, reanalysis products, and mesoscale models
Experience working within or in collaboration with the wind energy industry
Track record of publications in high impact factor journals
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