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 | 77 | 2020 |
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 | 73 | 2015 |
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 | 61 | 2018 |
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 | 51 | 2019 |
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 | 40 | 2020 |
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 | 35 | 2021 |
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 | 35 | 2016 |
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 | 32 | 2021 |
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 | 32 | 2019 |
Optimization-based calibration of FAST. Farm parameters against large-eddy simulations P Doubrawa, JR Annoni, JM Jonkman 2018 Wind Energy Symposium, 0512, 2018 | 28 | 2018 |
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 | 27 | 2016 |
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 | 25 | 2020 |
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 | 24 | 2017 |
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 | 22 | 2020 |
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 | 19 | 2019 |
Best practice for measuring wind speeds and turbulence offshore through in-situ and remote sensing technologies RJ Barthelmie, H Wang, P Doubrawa, SC Pryor | 17 | 2016 |
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 | 16 | 2019 |
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 | 12 | 2019 |
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 | 12 | 2016 |
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 | 9 | 2020 |