Artikler med mandater om offentlig tilgang - Raghavendra (Raghu) KrishnamurthyLes mer
Ikke tilgjengelige noe sted: 2
Measurement-based numerical study of the effects of realistic land topography and stratification on the coastal marine atmospheric surface layer
Z Yang, A Calderer, S He, F Sotiropoulos, R Krishnamurthy, LS Leo, ...
Boundary-Layer Meteorology 171, 289-314, 2019
Mandater: US Department of Defense
Potential of Offshore Wind Energy off the Coast of California
R Krishnamurthy, G Garcia-Medina, B Gaudet, A Mahon, R Newsom, ...
OCEANS 2021: San Diego–Porto, 1-6, 2021
Mandater: US Department of Energy
Tilgjengelige et eller annet sted: 58
The Perdigão: 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
Mandater: US National Science Foundation, US Department of Defense, US National …
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
Mandater: US Department of Energy, US National Oceanic and Atmospheric Administration
C-FOG: life of coastal fog
HJS Fernando, I Gultepe, C Dorman, E Pardyjak, Q Wang, SW Hoch, ...
Bulletin of the American Meteorological Society 102 (2), E244-E272, 2021
Mandater: US Department of Energy, US Department of Defense, US National Oceanic and …
A review of coastal fog microphysics during C-FOG
I Gultepe, AJ Heymsfield, HJS Fernando, E Pardyjak, CE Dorman, ...
Boundary-Layer Meteorology 181, 227-265, 2021
Mandater: US Department of Energy, US Department of Defense
Analysis of random forest modeling strategies for multi-step wind speed forecasting
D Vassallo, R Krishnamurthy, T Sherman, HJS Fernando
Energies 13 (20), 5488, 2020
Mandater: US National Science Foundation, US Department of Energy
On the estimation of boundary layer heights: a machine learning approach
R Krishnamurthy, RK Newsom, LK Berg, H Xiao, PL Ma, DD Turner
Atmospheric Measurement Techniques Discussions 2020, 1-34, 2020
Mandater: US National Science Foundation, US Department of Energy, US Department of …
Spatial variability of winds and HRRR–NCEP model error statistics at three Doppler-lidar sites in the wind-energy generation region of the Columbia River Basin
YL Pichugina, RM Banta, T Bonin, WA Brewer, A Choukulkar, BJ McCarty, ...
Journal of Applied Meteorology and Climatology 58 (8), 1633-1656, 2019
Mandater: US Department of Energy, US Department of Defense, US National Oceanic and …
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
Mandater: US National Science Foundation, US Department of Energy, US Department of …
Monitoring wind, turbulence and aircraft wake vortices by high resolution RADAR and LIDAR remote sensors in all weather conditions
F Barbaresco, L Thobois, A Dolfi-Bouteyre, N Jeannin, R Wilson, M Valla, ...
URSI Scientific Days, 81-110, 2015
Mandater: European Commission
Doppler Lidar (DL) Instrument Handbook
RK Newsom, R Krishnamurthy
https://www.arm.gov/publications/tech_reports/handbooks/dl_handbook.pdf, 2020
Mandater: US Department of Energy
Decreasing wind speed extrapolation error via domain-specific feature extraction and selection
D Vassallo, R Krishnamurthy, HJS Fernando
Wind Energy Science 5 (3), 959-975, 2020
Mandater: US National Science Foundation, US Department of Energy, US Department of …
Field testing of lidar-assisted feedforward control algorithms for improved speed control and fatigue load reduction on a 600-kw wind turbine
AA Kumar, EA Bossanyi, AK Scholbrock, P Fleming, M Boquet, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2015
Mandater: US Department of Energy
Identification and characterization of persistent cold pool events from temperature and wind profilers in the Columbia River Basin
K McCaffrey, JM Wilczak, L Bianco, E Grimit, J Sharp, R Banta, K Friedrich, ...
Journal of Applied Meteorology and Climatology 58 (12), 2533-2551, 2019
Mandater: US National Science Foundation, US Department of Energy, US National Oceanic …
Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error
D Vassallo, R Krishnamurthy, HJS Fernando
Wind Energy Science Discussions 2020, 1-18, 2020
Mandater: US National Science Foundation, US Department of Energy
Offshore wind turbine wake characteristics using scanning Doppler lidar
R Krishnamurthy, J Reuder, B Svardal, HJS Fernando, JB Jakobsen
Energy Procedia 137, 428-442, 2017
Mandater: Norges forskningsråd
Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)
L Bianco, IV Djalalova, JM Wilczak, JB Olson, JS Kenyon, A Choukulkar, ...
Geoscientific Model Development 12 (11), 4803-4821, 2019
Mandater: US Department of Energy, US National Oceanic and Atmospheric Administration
Validation of reanalysis-based offshore wind resource characterization using lidar buoy observations
LM Sheridan, R Krishnamurthy, AM Gorton, WJ Shaw, RK Newsom
Marine Technology Society Journal 54 (6), 44-61, 2020
Mandater: US Department of Energy
Boundary layer climatology at arm southern great plains
R Krishnamurthy, RK Newsom, D Chand, WJ Shaw
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2021
Mandater: US Department of Energy
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