Nicola Bodini
Nicola Bodini
Researcher, NREL
Geverifieerd e-mailadres voor nrel.gov - Homepage
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The Perdigao: Peering into microscale details of mountain winds
HJS Fernando, J Mann, J Palma, JK Lundquist, RJ Barthelmie, ...
Bulletin of the American Meteorological Society 100 (5), 799-819, 2019
Three-dimensional structure of wind turbine wakes as measured by scanning lidar
N Bodini, D Zardi, JK Lundquist
Atmospheric Measurement Techniques 10 (8), 2881-2896, 2017
The second wind forecast improvement project (WFIP2): Observational field campaign
JM Wilczak, M Stoelinga, LK Berg, J Sharp, C Draxl, K McCaffrey, ...
Bulletin of the American Meteorological Society 100 (9), 1701-1723, 2019
Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign
N Bodini, JK Lundquist, RK Newsom
Atmospheric Measurement Techniques 11 (7), 4291-4308, 2018
US East Coast lidar measurements show offshore wind turbines will encounter very low atmospheric turbulence
N Bodini, JK Lundquist, A Kirincich
Geophysical Research Letters 46 (10), 5582-5591, 2019
Spatial and temporal variability of turbulence dissipation rate in complex terrain
N Bodini, JK Lundquist, R Krishnamurthy, M Pekour, LK Berg, ...
Atmospheric Chemistry and Physics 19 (7), 4367-4382, 2019
Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the PerdigŃo 2017 campaign
N Wildmann, N Bodini, JK Lundquist, L Bariteau, J Wagner
Atmospheric Measurement Techniques 12 (12), 6401-6423, 2019
Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?
N Bodini, JK Lundquist, M Optis
Geoscientific Model Development 13 (9), 4271-4285, 2020
The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds
N Bodini, M Optis
Wind Energy Science 5 (2), 489-501, 2020
Offshore Wind Resource Assessment for the California Pacific Outer Continental Shelf
M Optis, O Rybchuk, N Bodini, M Rossol, W Musial
Tech. rep., National Renewable Energy Laboratory (NREL), Golden, CO, Unitedá…, 2020
Offshore wind turbines will encounter very low atmospheric turbulence
N Bodini, JK Lundquist, A Kirincich
Journal of Physics: Conference Series 1452 (1), 012023, 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 6 (3), 935-948, 2021
Year-to-year correlation, record length, and overconfidence in wind resource assessment
N Bodini, JK Lundquist, D Zardi, M Handschy
Wind Energy Science 1 (2), 115-128, 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 Discussions 2020, 1-22, 2020
How accurate is a machine learning-based wind speed extrapolation under a round-robin approach?
N Bodini, M Optis
Journal of Physics: Conference Series 1618 (6), 062037, 2020
Openoa: an open-source codebase for operational analysis of wind farms
J Perr-Sauer, M Optis, J Fields, N Bodini, JCY Lee, A Todd, E Simley, ...
Journal of Open Source Software 6 (NREL/JA-2C00-75851), 2021
Lowering post‐construction yield assessment uncertainty through better wind plant power curves
N Bodini, M Optis, J Perr‐Sauer, E Simley, MJ Fields
Wind Energy 25 (1), 5-22, 2022
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
Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?
V Pronk, N Bodini, M Optis, JK Lundquist, P Moriarty, C Draxl, ...
Wind Energy Science 7 (2), 487-504, 2022
Wind plants can impact long-term local atmospheric conditions
N Bodini, JK Lundquist, P Moriarty
Scientific reports 11 (1), 1-12, 2021
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