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Staff information

Raghavendra

Raghavendra (Raghu) Krishnamurthy

Planetry Boundry Lyr Meas Mod
Earth Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K9-24
Richland, WA 99352

Biography

Dr. Krishnamurthy received his M.S. and Ph.D. from Arizona State University in atmospheric fluid dynamics and remote sensing. He then worked in the industry for three years as senior research scientist. From 2014 to 2016 he was also a member of the International Electrotechnical commission (IEC) and helped draft and frame the wind resource assessment standards (IEC 61400-15). Dr. Krishnamurthy has been a part of several international projects, notably C-FOG, MISO-BOB, Perdigão, CASPER, T-REX, SESAR XP1, UFO and CHATS. He has helped develop novel synchronized triple Doppler lidar systems and motion compensation platforms during his tenure at University of Notre Dame. Currently he works as a Scientist at Pacific Northwest National Laboratory and focuses on developing better signal processing algorithms and machine learning techniques to characterize the atmospheric boundary layers (onshore/offshore) and various cloud processes using remote sensing data. His area of specialization is in Atmospheric fluid dynamics, aircraft safety, boundary layer meteorology, machine learning, remote sensing, sustainability engineering, urban air pollution, wind energy, & wind engineering.

Education and Credentials

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

Affiliations and Professional Service

  • Member, American Meteorological Society
  • Member, American Geophysical Union

Awards and Recognitions

  • 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

PNNL Publications

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. Muņoz, 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. General Analysis of Data Collected from DOE Lidar Buoy Deployments Off Virginia and New Jersey">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

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