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Bodini, N
66  Ergebnisse:
Personensuche X
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1

An international benchmark for wind plant wakes from the Am..:

Bodini, N ; Abraham, A ; Doubrawa, P...
Journal of Physics: Conference Series.  2767 (2024)  9 - p. 092034 , 2024
Link: https://doi.org/10.1088/..
 
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2

Offshore Wind Turbines Will Encounter Very Low Atmospheric ..:

Bodini, N ; Lundquist, J K ; Kirincich, A
Journal of Physics: Conference Series.  1452 (2020)  - p. 012023 , 2020
Link: https://doi.org/10.1088/..
 
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3

THE PERDIGÃO: Peering into Microscale Details of Mountain W..:

Fernando, H. J. S. ; Mann, J. ; Palma, J. M. L. M....
Bulletin of the American Meteorological Society.  100 (2019)  5 - p. 799-820 , 2019
Link: https://www.jstor.org/st..
 
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4

The Perdigão: Peering into Microscale Details of Mountain W..:

Fernando, H.J.S ; Mann, Jakob ; Palma, J.M.L.M...
https://orbit.dtu.dk/en/publications/c6277d33-47c7-4685-ad2d-cce33cc643eb.  , 2019
Link: https://orbit.dtu.dk/en/..
 
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5

Long-term uncertainty quantification in WRF-modeled offshor..:

N. Bodini ; S. Castagneri ; M. Optis
https://wes.copernicus.org/articles/8/607/2023/wes-8-607-2023.pdf.  , 2023
Link: https://doi.org/10.5194/..
 
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6

Can reanalysis products outperform mesoscale numerical weat..:

V. Pronk ; N. Bodini ; M. Optis...
https://wes.copernicus.org/articles/7/487/2022/wes-7-487-2022.pdf.  , 2022
Link: https://doi.org/10.5194/..
 
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7

The sensitivity of the fitch wind farm parameterization to ..:

A. Rybchuk ; T. W. Juliano ; J. K. Lundquist...
https://wes.copernicus.org/articles/7/2085/2022/wes-7-2085-2022.pdf.  , 2022
Link: https://doi.org/10.5194/..
 
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8

New methods to improve the vertical extrapolation of near-s..:

M. Optis ; N. Bodini ; M. Debnath.
https://wes.copernicus.org/articles/6/935/2021/wes-6-935-2021.pdf.  , 2021
Link: https://doi.org/10.5194/..
 
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9

Extreme wind shear events in US offshore wind energy areas ..:

M. Debnath ; P. Doubrawa ; M. Optis..
https://wes.copernicus.org/articles/6/1043/2021/wes-6-1043-2021.pdf.  , 2021
Link: https://doi.org/10.5194/..
 
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10

Assessing boundary condition and parametric uncertainty in ..:

N. Bodini ; W. Hu ; M. Optis..
https://wes.copernicus.org/articles/6/1363/2021/wes-6-1363-2021.pdf.  , 2021
Link: https://doi.org/10.5194/..
 
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11

Operational-based annual energy production uncertainty: are..:

N. Bodini ; M. Optis
https://wes.copernicus.org/articles/5/1435/2020/wes-5-1435-2020.pdf.  , 2020
Link: https://doi.org/10.5194/..
 
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12

The importance of round-robin validation when assessing mac..:

N. Bodini ; M. Optis
https://www.wind-energ-sci.net/5/489/2020/wes-5-489-2020.pdf.  , 2020
Link: https://doi.org/10.5194/..
 
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13

Can machine learning improve the model representation of tu..:

N. Bodini ; J. K. Lundquist ; M. Optis
https://gmd.copernicus.org/articles/13/4271/2020/gmd-13-4271-2020.pdf.  , 2020
Link: https://doi.org/10.5194/..
 
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14

Spatial and temporal variability of turbulence dissipation ..:

N. Bodini ; J. K. Lundquist ; R. Krishnamurthy...
https://www.atmos-chem-phys.net/19/4367/2019/acp-19-4367-2019.pdf.  , 2019
Link: https://doi.org/10.5194/..
 
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15

Estimation of turbulence dissipation rate from Doppler wind..:

N. Wildmann ; N. Bodini ; J. K. Lundquist..
https://www.atmos-meas-tech.net/12/6401/2019/amt-12-6401-2019.pdf.  , 2019
Link: https://doi.org/10.5194/..
 
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