Rochelle Worsnop
Position
Research Scientist
Team
Attribution and Predictability Assessments
Affiliation
Contact
About
Rochelle is a CIRES/University of Colorado Research Scientist working with the NOAA Earth System Research Laboratories's Physical Sciences Laboratory.
Rochelle came to NOAA ESRL as PSL's first federal Pathways intern in the last year of her graduate studies at the University of Colorado-Boulder. She joined NOAA as a CIRES Research Scientist in the summer of 2018 in the Attribution and Predictability Assessments Team.
Rochelle's research background is in the observation and modeling of boundary layer processes with a special interest in fire weather forecasting and atmospheric phenomena that affect wind energy development and production. Her current research explores various statistical postprocessing techniques to improve fire weather forecasts out to two weeks. She enjoys working on projects that can have a direct influence on some of the situational meteorology challenges we face today, such as when and where to send fire mitigation resources and whether to install offshore wind turbines in locations that could be threatened by major hurricanes.
Rochelle came to NOAA ESRL as PSL's first federal Pathways intern in the last year of her graduate studies at the University of Colorado-Boulder. She joined NOAA as a CIRES Research Scientist in the summer of 2018 in the Attribution and Predictability Assessments Team.
Rochelle's research background is in the observation and modeling of boundary layer processes with a special interest in fire weather forecasting and atmospheric phenomena that affect wind energy development and production. Her current research explores various statistical postprocessing techniques to improve fire weather forecasts out to two weeks. She enjoys working on projects that can have a direct influence on some of the situational meteorology challenges we face today, such as when and where to send fire mitigation resources and whether to install offshore wind turbines in locations that could be threatened by major hurricanes.
Research Interests
- statistical postprocessing of numerical weather predictions
- extended-range fire weather forecasting
- mesoscale and LES modeling of wind farms and hurricanes
- boundary layer meteorology
- wind profiler deployments
Education
- Ph.D., Atmospheric and Oceanic Science, CU-Boulder, May 2018
- M.S., Atmospheric and Oceanic Science, CU-Boulder, 2016
- B.S., Meteorology, Florida State University , 2012
Publications
- Worsnop, R. P, M. Scheuerer, T. M. Hamill, 2020: Extended–range probabilistic fire-weather forecasting based on Ensemble Model Output Statistics and Ensemble Copula Coupling. Mon. Weather Rev., 148, 499-521, https://doi.org/10.1175/MWR-D-19-0217.1.
- Worsnop, R. P., M. Scheuerer, T. M. Hamill, and J. K. Lundquist, 2018: Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing. Wind Energy Sci., 3, 371-393. doi: 10.5194/wes-3-371-2018
- Worsnop, R. P., J. K. Lundquist, G. H. Bryan, W. Musial, and R. Damiani, 2017: Gusts and shear within hurricane eyewalls can exceed offshore wind turbine design standards. Geophys. Res. Lett., 44, 6413-6420. doi: 10.1002/2017GL073537
- Worsnop, R. P., G. H. Bryan, J. K. Lundquist, and J. A. Zhang, 2017: Using large-eddy simulations to define spectral and coherence characteristics of the hurricane boundary layer for wind-energy applications. Bound-Layer Meteor., 165, 55-86. doi: 10.1007/s10546-017-0266-x
- Bryan, G. H., R. P. Worsnop, J. K. Lundquist, and J. A. Zhang, 2016: A simple method for simulating wind profiles in the boundary layer of tropical cyclones. Bound.-Layer Meteor., 162, 475-502. doi: 10.1007/s10546-016-0207-0
Professional Activities
- Wind Forecast Improvement Project 2 - WFIP2 (2015-2018)
- eXperimental Planetary boundary layer Instrumentation Assessment - XPIA (2015)
- Crop Wind Energy EXperiment - CWEX2013 (2013)