Follow
Paula Doubrawa
Title
Cited by
Cited by
Year
Multimodel validation of single wakes in neutral and stratified atmospheric conditions
P Doubrawa, EW Quon, LA Martinez‐Tossas, K Shaler, M Debnath, ...
Wind Energy 23 (11), 2027-2055, 2020
772020
Satellite winds as a tool for offshore wind resource assessment: The Great Lakes Wind Atlas
P Doubrawa, RJ Barthelmie, SC Pryor, CB Hasager, M Badger, I Karagali
Remote Sensing of Environment 168, 349-359, 2015
732015
Validation of FAST. Farm against large-eddy simulations
J Jonkman, P Doubrawa, N Hamilton, J Annoni, P Fleming
Journal of Physics: Conference Series 1037 (6), 062005, 2018
652018
Load response of a floating wind turbine to turbulent atmospheric flow
P Doubrawa, MJ Churchfield, M Godvik, S Sirnivas
Applied Energy 242, 1588-1599, 2019
522019
Simulating real atmospheric boundary layers at gray-zone resolutions: How do currently available turbulence parameterizations perform?
P Doubrawa, D Muñoz-Esparza
Atmosphere 11 (4), 345, 2020
412020
New methods to improve the vertical extrapolation of near-surface offshore wind speeds
M Optis, N Bodini, M Debnath, P Doubrawa
Wind Energy Science Discussions 2021, 1-26, 2021
362021
Effects of an escarpment on flow parameters of relevance to wind turbines
RJ Barthelmie, H Wang, P Doubrawa, G Giroux, SC Pryor
Wind Energy 19 (12), 2271-2286, 2016
342016
Benchmarks for model validation based on lidar wake measurements
P Doubrawa, M Debnath, PJ Moriarty, E Branlard, TG Herges, DC Maniaci, ...
Journal of Physics: Conference Series 1256 (1), 012024, 2019
322019
Extreme wind shear events in US offshore wind energy areas and the role of induced stratification
M Debnath, P Doubrawa, M Optis, P Hawbecker, N Bodini
Wind Energy Science 6 (4), 1043-1059, 2021
312021
Optimization-based calibration of FAST. Farm parameters against large-eddy simulations
P Doubrawa, JR Annoni, JM Jonkman
2018 Wind Energy Symposium, 0512, 2018
312018
Wind turbine wake characterization from temporally disjunct 3-d measurements
P Doubrawa, RJ Barthelmie, H Wang, SC Pryor, MJ Churchfield
Remote Sensing 8 (11), 939, 2016
262016
A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines
E Branlard, J Jonkman, S Dana, P Doubrawa
Journal of Physics: Conference Series 1618 (2), 022030, 2020
252020
A stochastic wind turbine wake model based on new metrics for wake characterization
P Doubrawa, RJ Barthelmie, H Wang, MJ Churchfield
Wind Energy 20 (3), 449-463, 2017
232017
Comparison of rotor wake identification and characterization methods for the analysis of wake dynamics and evolution
EW Quon, P Doubrawa, M Debnath
Journal of Physics: Conference Series 1452 (1), 012070, 2020
222020
FAST. Farm response to varying wind inflow techniques
K Shaler, J Jonkman, P Doubrawa Moreira, N Hamilton
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2019
192019
Wind resource assessment for Alaska’s offshore regions: validation of a 14-year high-resolution WRF data set
JA Lee, P Doubrawa, L Xue, AJ Newman, C Draxl, G Scott
Energies 12 (14), 2780, 2019
162019
Best practice for measuring wind speeds and turbulence offshore through in-situ and remote sensing technologies
RJ Barthelmie, H Wang, P Doubrawa, SC Pryor
162016
Evaluation of wind speed retrieval from continuous-wave lidar measurements of a wind turbine wake using virtual lidar techniques
M Debnath, P Doubrawa, T Herges, LA Martínez-Tossas, DC Maniaci, ...
Journal of Physics: Conference Series 1256 (1), 012008, 2019
132019
Defining wake characteristics from scanning and vertical full-scale lidar measurements
RJ Barthelmie, P Doubrawa, H Wang, SC Pryor
Journal of Physics: Conference Series 753 (3), 032034, 2016
112016
Best Practices for the Validation of US Offshore Wind Resource Models
M Optis, N Bodini, M Debnath, P Doubrawa
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020
82020
The system can't perform the operation now. Try again later.
Articles 1–20