| 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 | 160 | 2019 |
| Coherent Doppler lidar for wind farm characterization R Krishnamurthy, A Choukulkar, R Calhoun, J Fine, A Oliver, KS Barr Wind Energy 16 (2), 189-206, 2013 | 94 | 2013 |
| 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 | 82* | 2019 |
| 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 | 68 | 2021 |
| 3D wind and turbulence characteristics of the atmospheric boundary layer RJ Barthelmie, P Crippa, H Wang, CM Smith, R Krishnamurthy, ... Bulletin of the American Meteorological Society 95 (5), 743-756, 2014 | 47 | 2014 |
| Wind turbulence estimates in a valley by coherent Doppler lidar R Krishnamurthy, R Calhoun, B Billings, J Doyle Meteorological Applications 18 (3), 361-371, 2011 | 43 | 2011 |
| 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 | 42 | 2021 |
| Doppler Lidar (DL) Instrument Handbook RK Newsom, R Krishnamurthy https://www.arm.gov/publications/tech_reports/handbooks/dl_handbook.pdf, 2020 | 42 | 2020 |
| 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 | 41 | 2019 |
| 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 | 39 | 2019 |
| 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 | 37 | 2020 |
| 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 | 37 | 2015 |
| 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 14 (6), 4403-4424, 2021 | 36 | 2021 |
| 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 | 32 | 2020 |
| 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 | 30 | 2015 |
| 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 | 29 | 2019 |
| 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 | 25 | 2017 |
| 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 | 24 | 2020 |
| 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 | 21 | 2019 |
| Wind and EDR measurements with scanning Doppler LIDARs for preparing future weather dependent separation concepts LP Thobois, R Krishnamurthy, S Loaec, JP Cariou, A Dolfi-Bouteyre, ... 7th AIAA Atmospheric and Space Environments Conference, 3317, 2015 | 21 | 2015 |
Harindra J FernandoUniversity of Notre DameVerified email at nd.edu
