NREL Wind Resource Modeling and Characterization Researcher – Junior Scientist in Boulder, Colorado
Wind Resource Modeling and Characterization Researcher – Junior Scientist
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 support research and analysis 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 successful candidate is expected to demonstrate a solid understanding and wide application of atmospheric principles, theories and concepts. The successful candidate will have excellent writing, interpersonal and communication skills. The candidate will be expected to contribute to publications in high impact technical journals and presentations at conferences, symposia, and review meetings.
Master's Degree in Engineering, Science, Math or related. Or, Bachelor's Degree in Engineering, Science, Math or related and 2 or more years of research experience.
The preferred candidate will have experience with the following:
Mesoscale modeling tools used for wind resource characterization by the wind industry, namely WRF.
Atmospheric observational platforms and data analysis techniques for buoy-, tower-, and remote sensing-based measurements.
Familiar with resource assessment, forecasting, and energy assessment processes used by the wind industry.
Experience in using and validating the WRF mesoscale model
Experience in a Linux-based high-performance computing environment
Proficiency in Unix and Python scripting languages
Experience in processing and analyzing observed and modeled atmospheric data, (including data from meteorological towers, remote sensing instrumentation, reanalysis products, and mesoscale models)
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