PNNL

Dr. Krishnamurthy holds a Ph.D. in Mechanical Engineering from Arizona State University. Dr. Krishnamurthy is known internationally as an innovator for his work advancing the application of lidar instrumentation in atmospheric research. At the Laboratory, Dr. Krishnamurthy is leading a multidisciplinary team of atmospheric and oceanic scientists to better understand the offshore environment for wind energy applications, which is critical to energy and national security needs. He is also an instrument mentor for the Doppler lidars within DOE’s Atmospheric Radiation Measurement (ARM) Program.  He currently co-manages 15 scanning Doppler lidars at ARM and supports the algorithm development and research for these lidars at DOE.  Dr. Krishnamurthy’s research is extremely specialized, critical, and relevant to the U.S. Department of Energy, an agency funding his research, and his work is at the forefront of the field. He holds a leading role on several projects at the Laboratory where his compelling research truly paves the way to new technologies.  He is currently the principal investigator for DOE’s Lidar Buoy Program, Wind Forecasting Improvement Project Phase 3 (WFIP3), and Observationally Driven Resource Assessment with Coupled Models (ORACLE).

• Ph.D., Mechanical Engineering, Arizona State University
• M.S., Mechanical Engineering, Arizona State University

• Member, American Meteorological Society
• Member, American Geophysical Union
• Member, International Energy Agency (IEA) Task 52 WP6 (Scanning Doppler lidars)
• Member, U.S. CLIVAR Air-Sea Interactions subgroup

• 2021, Exceptional Contribution Program Award, PNNL
• 2014-2016, Member of International Electrotechnical Commission (IEC) 61400-15
• 2012, Nominated twice for “Teaching Excellence Award” at Arizona State University
• 2012, Department graduate Fellowship award, Arizona State University
• 2006, Outstanding student award in Mechanical Engineering, Bachelors of Engineering

2024

• Liu Y., B.J. Gaudet, R. Krishnamurthy, S. Tai, L.K. Berg, N. Bodini, and A. Rybchuk, et al. 2024. "Identifying meteorological drivers for errors in modeled winds along the Northern California Coast." Monthly Weather Review 152, no. 2:455-469. PNNL-SA-181692. doi:10.1175/MWR-D-23-0030.1
• Phadtar J., H. Fernando, G. Black, K. Mclaughlin, J. Dehart, R. Krishnamurthy, and G. Bhat, et al. 2024. "Aircraft Observations in a Tropical Supercluster over the Equatorial Indian Ocean during MISO-BOB Field Campaign." Scientific Reports 14. PNNL-SA-181587. doi:10.1038/s41598-024-51527-4

2023

• Clayson C., C. Demott, S. de Szoeke, P. Chang, G.R. Foltz, R. Krishnamurthy, and T. Lee, et al. 2023. A New Paradigm for Observing and Modeling of Air-Sea Interactions to Advance Earth System Prediction. PNNL-34682. Richland, WA: Pacific Northwest National Laboratory. doi:10.5065/24j7-w583
• Debnath M., P. Moriarty, R. Krishnamurthy, R.K. Newsom, N. Bodini, E. Quon, and J.K. Lundquist, et al. 2023. "Characterization of wind speed and directional shear at the AWAKEN field campaign site." Journal of Renewable and Sustainable Energy 15, no. 3:Art. No. 033308. PNNL-SA-170841. doi:10.1063/5.0139737
• Krishnamurthy R., G. Garcia Medina, B.J. Gaudet, W.I. Gustafson, E.I. Kassianov, J. Liu, and R.K. Newsom, et al. 2023. "Year-long Buoy-Based Observations of the Air-Sea Transition Zone off the U.S. West Coast." Earth System Science Data 15, no. 12:5667-5699. PNNL-SA-182977. doi:10.5194/essd-15-5667-2023
• Krishnamurthy R., H. Fernando, D. Alappattu, E. Creegan, and Q. Wang. 2023. "Observations of offshore internal boundary layers." Journal of Geophysical Research: Atmospheres 128, no. 8:Art. No. e2022JD037425. PNNL-SA-169724. doi:10.1029/2022JD037425
• Letizia S., P. Brugger, N. Bodini, R. Krishnamurthy, A. Scholbrock, E. Simley, and F. Porte-Agel, et al. 2023. "Characterization of wind turbine flow through nacelle-mounted lidars: a review." Frontiers in Mechanical Engineering 9. PNNL-SA-179377. doi:10.3389/fmech.2023.1261017
• Tai S., L.K. Berg, R. Krishnamurthy, R.K. Newsom, and A. Kirincich. 2023. "Validation of Turbulence Intensity as Simulated by the Weather Research and Forecasting Model off the U.S. Northeast Coast." Wind Energy Science 8, no. 3:433-448. PNNL-SA-177603. doi:10.5194/wes-8-433-2023

2022

• Arthur R., T. Juliano, B. Adler, R. Krishnamurthy, J.M. Wilczak, B. Kosovic, and J. Munoz. 2022. "Improved representation of horizontal variability and turbulence in mesoscale simulations of an extended cold-air pool event." Journal of Applied Meteorology and Climatology 61, no. 6:685-707. PNNL-SA-161944. doi:10.1175/JAMC-D-21-0138.1
• Gaudet B.J., G. Garcia Medina, R. Krishnamurthy, W.J. Shaw, L.M. Sheridan, Z. Yang, and R.K. Newsom, et al. 2022. "Evaluation of coupled wind-wave model simulations of offshore winds in the Mid-Atlantic Bight using lidar-equipped buoys." Monthly Weather Review 150, no. 6:1377-1395. PNNL-SA-161940. doi:10.1175/MWR-D-21-0166.1
• Sheridan L.M., R. Krishnamurthy, G. Garcia Medina, B.J. Gaudet, W.I. Gustafson, A.M. Mahon, and W.J. Shaw, et al. 2022. "Offshore Reanalysis Wind Speed Assessment Across the Wind Turbine Rotor Layer off the United States Pacific Coast." Wind Energy Science 7, no. 5:2059-2084. PNNL-SA-169723. doi:10.5194/wes-7-2059-2022

2021

• Bardoel S., D.H. Muoz, A. Grachev, R. Krishnamurthy, L. Chamorro Chavez, and H. Fernando. 2021. "Fog Formation Related to Gravity Currents Interacting with Coastal Topography." Boundary-Layer Meteorology 181, no. 2-3:499-521. PNNL-SA-158475. doi:10.1007/s10546-021-00638-w
• Berg L.K., Y. Liu, B. Yang, Y. Qian, R. Krishnamurthy, L.M. Sheridan, and J.B. Olson. 2021. "Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine-Height Winds in the MYNN-EDMF Parameterization." Journal of Geophysical Research: Atmospheres 126, no. 11:e2020JD034000. PNNL-SA-156917. doi:10.1029/2020JD034000
• Dorman C., S. Hoch, I. Gultepe, Q. Wang, R. Yamaguchi, H. Fernando, and R. Krishnamurthy. 2021. "Large-Scale Synoptic Systems and Fog During the C-FOG Field Experiment." Boundary-Layer Meteorology 181, no. 2:171-202. PNNL-SA-164676. doi:10.1007/s10546-021-00641-1
• Fernando H., I. Gultepe, C. Dorman, E. Pardyjak, Q. Wang, S. Hoch, and D. Richter, et al. 2021. "C-FOG: Life of Coastal Fog." Bulletin of the American Meteorological Society 102, no. 2:E244-E272. PNNL-SA-155686. doi:10.1175/BAMS-D-19-0070.1
• Gultepe I., A.J. Heymsfield, H. Fernando, E. Pardyjak, C. Dorman, Q. Wang, and E. Creegan, et al. 2021. "A review of Coastal Fog Microphysics during C-FOG." Boundary-Layer Meteorology 181, no. 2-3:227-265. PNNL-SA-159266. doi:10.1007/s10546-021-00659-5
• Krishnamurthy R., G. Garcia Medina, B.J. Gaudet, A.M. Mahon, R.K. Newsom, W.J. Shaw, and L.M. Sheridan. 2021. "Potential of Offshore Wind Energy Off the Coast of California." In OCEANS 2021, September 20-23, San Diego, CA, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-164552. doi:10.23919/OCEANS44145.2021.9705976
• Krishnamurthy R., R.K. Newsom, D. Chand, and W.J. Shaw. 2021. Boundary Layer Climatology at ARM Southern Great Plains. PNNL-30832. Richland, WA: Pacific Northwest National Laboratory. Boundary Layer Climatology at ARM Southern Great Plains
• Krishnamurthy R., R.K. Newsom, L.K. Berg, H. Xiao, P. Ma, and D.D. Turner. 2021. "On the estimation of boundary layer heights: A machine learning approach." Atmospheric Measurement Techniques 14, no. 6:4403-4424. PNNL-SA-157374. doi:10.5194/amt-14-4403-2021
• Sheridan L.M., R. Krishnamurthy, and B.J. Gaudet. 2021. Assessment of Model Hub Height Wind Speed Performance Using DOE Lidar Buoy Data. PNNL-30840. Richland, WA: Pacific Northwest National Laboratory.
• Vassallo D., R. Krishnamurthy, and H. Fernando. 2021. "Utilizing Physics-Based Input Features within a Machine Learning Model to Predict Wind Speed Forecasting Error." Wind Energy Science 6, no. 1:295-309. PNNL-SA-153785. doi:10.5194/wes-6-295-2021
• Vassallo D., R. Krishnamurthy, R. Menke, and H. Fernando. 2021. "Observations of Stably Stratified Flow through a Microscale Gap." Journal of the Atmospheric Sciences 78, no. 1:189-208. PNNL-SA-156466. doi:10.1175/JAS-D-20-0087.1
• Wagh S., R. Krishnamurthy, C. Wainwright, S. Wang, C. Dorman, H. Fernando, and I. Gultepe. 2021. "Study of stratus-lowering marine-fog events observed during C-FOG." Boundary-Layer Meteorology 181, no. 2:317-344. PNNL-SA-162781. doi:10.1007/s10546-021-00670-w
• Wang S., H. Fernando, C. Dorman, E. Creegan, R. Krishnamurthy, C.E. Wainwright, and S. Wagh, et al. 2021. "Analysis of Coastal Fog from a Ship during C-FOG Campaign." Boundary-Layer Meteorology 181, no. 2-3:365-393. PNNL-SA-162782. doi:10.1007/s10546-021-00667-5

2020

• Banta R.M., Y.L. Pichugina, W.A. Brewer, A. Choukulkar, K. Lantz, J.B. Olson, and J. Kenyon, et al. 2020. "Characterizing NWP Model Errors Using Doppler-Lidar Measurements of Recurrent Regional Diurnal Flows: Marine-Air Intrusions into the Columbia-River Basin." Monthly Weather Review 148, no. 3:929-953. PNNL-SA-150379. doi:10.1175/MWR-D-19-0188.1
• Djalalova I.V., L. Bianco, E. Akish, J.M. Wilczak, J.B. Olson, J. Kenyon, and L.K. Berg, et al. 2020. "Wind ramp events validation in NWP forecast models during the second Wind Forecast Improvement Project (WFIP2) using the Ramp Tool and Metric (RT&M)." Weather and Forecasting 35, no. 6:2407-2421. PNNL-SA-156607. doi:10.1175/WAF-D-20-0072.1
• Newsom R.K., L.M. Sheridan, B.J. Gaudet, G. Garcia Medina, Z. Yang, R. Krishnamurthy, and W.J. Shaw. 2020. A Study on Modeled Wind Speed Errors Using the U.S. Department of Energy Buoys. PNNL-30117. Richland, WA: Pacific Northwest National Laboratory. A Study on Modeled Wind Speed Errors Using the U.S. Department of Energy Buoys
• Shaw W.J., J. Draher, G. Garcia Medina, A.M. Gorton, R. Krishnamurthy, R.K. Newsom, and M.S. Pekour, et al. 2020. General Analysis of Data Collected from DOE Lidar Buoy Deployments Off Virginia and New Jersey. PNNL-29823. Richland, WA: Pacific Northwest National Laboratory. doi:10.2172/1632348.General Analysis of Data Collected from DOE Lidar Buoy Deployments Off Virginia and New Jersey
• Sheridan L.M., R. Krishnamurthy, A.M. Gorton, W.J. Shaw, and R.K. Newsom. 2020. "Validation of Reanalysis-Based Offshore Wind Resource Characterization Using Lidar Buoy Observations." Marine Technology Society Journal 54, no. 6:44-61. PNNL-SA-154410. doi:10.4031/MTSJ.54.6.13
• Vassallo D., R. Krishnamurthy, and H. Fernando. 2020. "Decreasing Wind Speed Extrapolation Error via Domain-Specific Feature Extraction and Selection." Wind Energy Science 5, no. 3:959-975. PNNL-SA-150381. doi:10.5194/wes-5-959-2020
• Vassallo D., R. Krishnamurthy, T. Sherman, and H. Fernando. 2020. "Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting." Energies 13, no. 20:5488. PNNL-SA-156586. doi:10.3390/en13205488

2019

• Bianco L., I.V. Djalalova, J.M. Wilczak, J.B. Olson, J. Kenyon, A. Choukulkar, and L.K. Berg, et al. 2019. "Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)." Geoscientific Model Development 12, no. 11:4803-4821. PNNL-SA-142587. doi:10.5194/gmd-12-4803-2019
• McCaffrey K.L., J.M. Wilczak, L. Bianco, E. Grimit, J. Sharp, R.M. Banta, and K. Friedrich, et al. 2019. "Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin." Journal of Applied Meteorology and Climatology 58, no. 12:2533-2551. PNNL-SA-150378. doi:10.1175/JAMC-D-19-0046.1