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Publications by year 

2017

65. Bodini, N., J. K. Lundquist, and D. Zardi. 2017. Three-dimensional Structure of Wind Turbine Wakes as Measured by Scanning Lidar. Accepted for publication in Atmos. Meas. Tech. at https://doi.org/10.5194/amt-2017-86. (First author student supervised by Lundquist)

64. Mazzaro, L. J., D. Muñoz-Esparza, J. K. Lundquist, R. R. Linn, 2017. Nested Mesoscale-to-LES Modeling of the Atmospheric Boundary Layer in the Presence of Under-Resolved Convective Structures. Accepted article Journal of Advances in Modeling Earth Systems, doi: 10.1002/2017MS000912. (First author student supervised by Lundquist)

63. Worsnop, R., J. K. Lundquist, G. H. Bryan, R. Damiani, W. Musial. 2017. Gusts and Shear Within Hurricane Eyewalls Can Exceed Offshore Wind-Turbine Design Standards. Geophysical Research Letters, 44, doi:10.1002/2017GL073537. (First author student supervised by Lundquist)

62. Worsnop, R., G. Bryan, J. K. Lundquist, and J. A. Zhang. 2017. Spectral and coherence characteristics of an LES-modeled hurricane boundary layer for wind energy applications. Boundary-Layer Meteorology. http://dx.doi.org/10.1007/s10546-017-0266-x (First author student supervised by Lundquist)

61. Lee, J. C.-Y. and J. K. Lundquist. 2017.  Observing and Simulating Wind Turbine Wakes During the Evening Transition. Boundary-Layer Meteorology https://doi.org/10.1007/s10546-017-0257-y. (First author student supervised by Lundquist)

60. Bianco, L., Friedrich, K., Wilczak, J. M., Hazen, D., Wolfe, D., Delgado, R., Oncley, S. P., and Lundquist, J. K.: Assessing the accuracy of microwave radiometers and radio acoustic sounding systems for wind energy applications, Atmos. Meas. Tech., 10, 1707-1721, doi:10.5194/amt-10-1707-2017, 2017.

59. St. Martin, C. M., Lundquist, J. K., Clifton, A., Poulos, G. S., and Schreck, S. J.: Atmospheric turbulence affects wind turbine nacelle transfer functions, Wind Energ. Sci., 2, 295-306, https://doi.org/10.5194/wes-2-295-2017, 2017. (First author student supervised by Lundquist)

58. Muñoz-Esparza, D., Lundquist, J. K., Sauer, J. A., Kosović, B. and Linn, R. R. (2017), Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies. J. Adv. Model. Earth Syst. doi:10.1002/2017MS000960.

57. Newsom, R. K., Brewer, W. A., Wilczak, J. M., Wolfe, D. E., Oncley, S. P., and Lundquist, J. K.: Validating precision estimates in horizontal wind measurements from a Doppler lidar, Atmos. Meas. Tech., 10, 1229-1240, doi:10.5194/amt-10-1229-2017, 2017.

56. Debnath, M., Iungo, G. V., Brewer, W. A., Choukulkar, A., Delgado, R., Gunter, S., Lundquist, J. K., Schroeder, J. L., Wilczak, J. M., and Wolfe, D.: Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment, Atmos. Meas. Tech., 10, 1215-1227, doi:10.5194/amt-10-1215-2017, 2017.

55. Debnath, M., Iungo, G. V., Ashton, R., Brewer, W. A., Choukulkar, A., Delgado, R., Lundquist, J. K., Shaw, W. J., Wilczak, J. M., and Wolfe, D.: Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans, Atmos. Meas. Tech., 10, 431-444, doi:10.5194/amt-10-431-2017, 2017.

54. McCaffrey, K., Quelet, P. T., Choukulkar, A., Wilczak, J. M., Wolfe, D. E., Oncley, S. P., Brewer, W. A., Debnath, M., Ashton, R., Iungo, G. V., and Lundquist, J. K. 2017. Identification of tower-wake distortions using sonic anemometer and lidar measurements. Atmos. Meas. Tech., 10,  393-407, doi:10.5194/amt-10-393-2017.

53. Choukulkar, A., Brewer, W. A., Sandberg, S. P., Weickmann, A., Bonin, T. A., Hardesty, R. M., Lundquist, J. K., Delgado, R., Iungo, G. V., Ashton, R., Debnath, M., Bianco, L., Wilczak, J. M., Oncley, S., and Wolfe, D.: Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign, Atmos. Meas. Tech., 10, 247-264, doi:10.5194/amt-10-247-2017, 2017.

2016

53. St. Martin, C., J. K. Lundquist, G. S. Poulos, A. Clifton, and S. Schreck. 2016. Wind turbine power production and annual energy production depend on atmospheric stability and turbulence. Wind Energy Science. 1, 221-236, doi: doi:10.5194/wes-1-221-2016 (First author student supervised by Lundquist)

52. Bodini, N., J. K. Lundquist, D. Zardi, and M. Handschy. 2016. Year-to-year correlation, record length, and overconfidence in wind resource assessment. Wind Energy Science. 1, 115-128, doi:10.5194/wes-2016-11 (First author student supervised by Lundquist)

51. Bryan, G. H., R. Worsnop, J. K. Lundquist, and J. A. Zhang. 2017. A simple method for simulating tropical-cyclone boundary layers. Boundary-Layer Meteorology, 162(3), 475-502. doi:10.1007/s10546-016-0207-0.

50. Vanderwende, B., B. Kosovic, J. K. Lundquist, and J. Mirocha. 2016. Simulating effects of a wind turbine array using LES and RANS. It Journal of Advances in Modeling Earth Systems, 8, 1376–1390, doi:10.1002/2016MS000652 (First author student supervised by Lundquist)

49. Lundquist, J. K., and ~ 30 co-authors. Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: the XPIA field campaign. Bulletin of the American Meteorological Society, 98, 289-314. DOI: http://dx.doi.org/10.1175/BAMS-D-15-00151.1

48. Emanuel, K., F. Hoss, D. Keith, Z. Kuang, J. K. Lundquist, and L. Miller. 2016. Workshop on Climate Effects of Wind Turbines.  Bulletin of the American Meteorological Society, 97, ES57-ES58.

47. Vanderwende, B. and J. K. Lundquist. 2016. Could crop height impact the wind resource at agriculturally-productive wind farm sites? Boundary-Layer Meteorology, 158, 409-428. DOI: 10.1007/s10546-015-0102-0 (First author student supervised by Lundquist)

2015

46. Mirocha, J. D., D. A. Rajewski, N. Marjanovic, J. K. Lundquist, B. Kosovic, C. Draxl, and M. J. Churchfield. 2015. Investigating wind turbine impacts on near-wake flow using profiling lidar data and large-eddy simulations with an actuator disk model. Journal of Renewable and Sustainable Energy 7, 043143 (2015)

45. St. Martin, C., J. K. Lundquist, M. Handschy. 2015. Variability of interconnected wind plants: correlation length and its dependence on variability time scale. Environmental Research Letters, 10, 044004. (First author student supervised by Lundquist)

44. Vanderwende, B., J. K. Lundquist, M. E. Rhodes, G. S. Takle, and S. I. Purdy. 2015. Observing and simulating the summertime low-level jet in central Iowa. Monthly Weather Review 143, 2319–2336. (First author student supervised by Lundquist)

43. Banta, R. M., Y. L. Pichugina, W. A. Brewer, J. K. Lundquist, and co-authors. 2015. 3-D Volumetric Analysis of Wind-Turbine Wake Properties in the Atmosphere using High-Resolution Doppler Lidar.  J. Atmos. Ocean. Tech. 32, 904-914, DOI: 10.1175/JTECH-D-14-00078.1

42. Lundquist, J. K., M. Churchfield, S. Lee, and A. Clifton. 2015. Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics. Atmos. Meas. Tech., 8, 907-920, 2015, doi:10.5194/amt-8-907-2015.

41. Lundquist, J. K. and L. Bariteau. 2015. Dissipation of turbulence in the wake of a wind turbine. Boundary-Layer Meteorology, 154, 229-241.

2014

40. Takle E.S., Rajewski D.A., Lundquist J.K., W. A. Gallus, Jr., and A. Sharma. 2014. Measurements in support of wind farm simulations and power forecasts: The Crop/Wind-energy Experiments (CWEX). J Phys Conf Ser 524:012174. doi: 10.1088/1742-6596/524/1/012174

39.    Aitken, M. L., B. Kosovic, J. D. Mirocha, and J. K. Lundquist. 2014. Large eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting Model. J. Renewable and Sustainable Energy 6, 033137 (2014); http://dx.doi.org/10.1063/1.4885111 (First author student supervised by Lundquist)

38.    Aitken, M. L., J. K. Lundquist. 2014. Utility-scale wind turbine wake characterization using nacelle-based long-range scanning lidar.  Jo. Atmos. Ocean. Tech. 31, 1529-1539. (First author student supervised by Lundquist)

37.   Rajewski, D., E. S. Takle, J. K. Lundquist, J. H. Prueger, R. Pfeiffer, J. L. Hatfield, K. K. Spoth, and R. K. Doorenbos. 2014. Changes in fluxes of heat, H2O, and CO2 caused by a large wind farm.  Agricultural & Forest Meteorology 194, 175-187.

36.    Aitken, M. L., J. K. Lundquist, Y. L. Pichugina, and R. M. Banta. 2014. Quantifying wind turbine wake characteristics from scanning remote sensor data. J. Atmos. Ocean. Tech. 31, 765-787. 10.1175/JTECH-D-13-00104.1 (First author student supervised by Lundquist)

35.    Mirocha, J., B. Kosovic, M. Aitken, and J. K. Lundquist. 2014. Implementation of a generalized actuator disk wind turbine model into WRF for large-eddy simulation applications. J. Renewable Sustainable Energy 6, 013104 (2014); http://dx.doi.org/10.1063/1.4861061.

2013

34.    Archer, C. L., B. Colle, L. Delle Monache, M. Dvorak, J. K. Lundquist, and eleven other co-authors. 2013. Meteorology for Coastal/Offshore Wind Energy in the US: Recommendations and Research Needs for the next Ten Years. To appear Bull. Amer. Meteorol. Soc. http://dx.doi.org/10.1175/BAMS-D-13-00108.1

33.    Rhodes, M. E., and J. K. Lundquist. 2013. The Effect of Wind Turbine Wakes on Summertime Midwest Atmospheric Wind Profiles. Boundary-Layer Meteorology 149, 85-103. doi:10.1007/s10546-013-9834-x (First author student supervised by Lundquist)

32.     Hu, Xiao-Ming, Petra M. Klein, Ming Xue, Julie K. Lundquist, Fuqing Zhang, Youcun Qi, 2013: Impact of Low-Level Jets on the Nocturnal Urban Heat Island Intensity in Oklahoma City. J. Appl. Meteor. Climatol., 52, 1779–1802.
doi: http://dx.doi.org/10.1175/JAMC-D-12-0256.1.

31.    Clifton, A., L. Kilcher, J. K. Lundquist, and P. Fleming. 2013. Using machine-learning to predict wind turbine power output. Environmental Research Letters. 8 024009 doi:10.1088/1748-9326/8/2/024009.

30.    Fitch, A., J. B. Olson, and J. K. Lundquist. 2013. Parameterization of wind farms in climate models. Journal of Climate, 26, 6439-6458. (First author student co-supervised by Lundquist)

29.     Smalikho, I. N., V. A. Banakh, Y. L. Pichugina, W. A. Brewer, R. M. Banta, J. K. Lundquist, N. D. Kelley, 2013: Lidar Investigation of Atmosphere Effect on a Wind Turbine Wake. J. Atmos. Oceanic Technol., 30, 2554–2570.
doi: http://dx.doi.org/10.1175/JTECH-D-12-00108.1
.

28.    Fitch, A., J. K. Lundquist, and J. B. Olson. 2013. Mesoscale Influences of Wind Farms throughout a diurnal cycle. Monthly Weather Review, 141, 2173-2198. doi: http://dx.doi.org/10.1175/MWR-D-12-00185.1 (First author student co-supervised by Lundquist)

27.    Clifton, A., S. Schreck, D. Jager, N. Kelley, and J. K. Lundquist. 2013. Meteorological tower observations at the National Renewable Energy Laboratory. Journal of Solar Energy Engineering. 135(3), 031017 (May 31, 2013) doi:10.1115/1.4024068

26.    Rajewski, D., G. Takle, J. K. Lundquist, M. E. Rhodes, S. Oncley, J. H. Prueger, T. Horst, M.E. Rhodes, R. Pfeiffer, J. Hatfield, K. K. Spoth, and R. K. Doorenbos. 2013. Crop Wind Energy Experiment (CWEX): Observations of Surface-Layer, Boundary Layer, and Mesoscale Interactions with a Wind Farm. Bull Amer Meteor Soc 94: 655–672.

2012

25.    Vanderwende, B. and J. K. Lundquist. 2012. The modification of wind turbine performance by statistically distinct atmospheric regimes. Environmental Research Letters 7 (2012) 034035 doi:10.1088/1748-9326/7/3/034035 (First author student supervised by Lundquist)

24.    Lundquist, K.A., F. K. Chow, and J. K. Lundquist. 2012. An Immersed Boundary Method Enabling Large-Eddy Simulations of Urban Terrain in the WRF model. Monthly Weather Review. 140, 3936-3955. 

23.    Clifton, A., and J. K. Lundquist. 2012. Data clustering reveals climate impacts on local wind phenomena. Journal of Applied Meteorology and Climatology 51, 1547-1557.

22.    Fitch, A. C., J. B. Olson, J. K. Lundquist, J. Dudhia, A. K. Gupta, J. Michalakes, and I. Barstad.  2012. Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model. Monthly Weather Review. Vol. 140, No. 9, 3017-3038. (First author student co-supervised by Lundquist)

21.    Aitken, M., L., M. E. Rhodes, and J. K. Lundquist. 2012. Performance of a wind-profiling lidar in the region of wind turbine rotor disks. Journal of Atmospheric and Oceanic Technology 29, 347-355. (First author student supervised by Lundquist)

20.    Friedrich, K., J. K. Lundquist, M. Aitken, E. A. Kalina, and R. F. Marshall (2012), Stability and turbulence in the atmospheric boundary layer: A comparison of remote sensing and tower observations, Geophys. Res. Lett., 39, L03801, doi:10.1029/2011GL050413.

19.    Wharton, S. and J. K. Lundquist. 2012b. Atmospheric Stability Affects Wind Turbine Power Collection. Environ. Res. Lett. 7 014005 doi:10.1088/1748-9326/7/1/014005

18.    Wharton, S. and J. K. Lundquist. 2012a. Assessing atmospheric stability and its impacts on rotor-disk wind characteristics at an onshore wind farm. Wind Energy,15, 525–546, DOI: 10.1002/we.483

2011

17.    Maxwell, R. M., J. K. Lundquist, J. Mirocha, S. G. Smith, C. S. Woodward, and A. F. B. Tompson. 2011. Development of a coupled groundwater-atmospheric model. Monthly Weather Review, 139, 96-116.

2010

16.    Mirocha, J. D., J. K. Lundquist, and B. Kosovic. 2010. Implementation of nonlinear subfilter turbulence stress models for large-eddy simulations in the Advanced Research WRF Model. Monthly Weather Review, 138, 4212-4228.

15.    Lundquist, K. A., F. K. Chow, and J. K. Lundquist. 2010. Implementation of an Immersed Boundary Method in the Weather Research and Forecasting Model. Monthly Weather Review, 138, 796-817.

2009

14.    Shaw, W. J., J. K. Lundquist, S. Schreck. 2009. Workshop on Research Needs for Wind Resource Characterization. Bulletin of the American Meteorological Society, 90, 535-538, doi: 10.1175/2008BAMS2729.1

13.    White, J.M., J. F. Bowers, S.R. Hanna, and J. K. Lundquist. 2009.  Importance of Using Observations of Mixing Depths in order to Avoid Large Underpredictions by a Transport and Dispersion Model. Journal of Atmospheric and Oceanic Technology, 26, 22-32.

2008

12.    Delle Monache, L., J. K. Lundquist, B. Kosovic, G. Johannesson, K. M. Dyer, R. D. Aines, R. D. Belles, W. G. Hanley, S. C. Larsen, G. A. Loosmore, A. A. Mirin, J. J. Nitao, G. A. Sugiyama, P. J. Vogt. 2008. Bayesian inference and Markov Chain Monte Carlo sampling to reconstruct a contaminant source at continental scale. Journal of Applied Meteorology and Climatology, 47, 2600-2613.

11.    Teixeira, J., B. Stevens, C.S. Bretherton, R. Cederwall, J. D. Doyle, J. C. Golaz, A. Holtslag, S. Klein, J. K. Lundquist, D. A. Randall, A. P. Siebesma, and P. M. M. Soares. 2008. Parameterization of the atmospheric boundary layer: a view from just above the inversion. Bull. Amer. Meteorol. Soc., 89, 453-458.

10.    Lundquist, J. K. and J. D. Mirocha. 2008. Interaction of Nocturnal Low-Level Jets with Urban Geometries as seen in Joint URBAN 2003 Data. Journal of Applied Meteorology and Climatology 47, 44-58.

2007

9.    Lundquist, J.K. and S. T. Chan. 2007. Consequences of Urban Stability Conditions for Computational Fluid Dynamics Simulations of Urban Dispersion. Journal of Applied Meteorology and Climatology 46, 1080-1097.

8.    Simpson, M., S. Raman, J. K. Lundquist, M. Leach. 2007. A study of the variation of urban mixed layer heights.  Atmospheric Environment 41, 6923-6930.

2006

7.    Beare, R. J., M. K. MacVean, A. A. M. Holtslag, J. Cuxart, I. Esau, J. C. Golaz, M. A. Jimenez, M. Khairoutdinov, B. Kosovic, D. Lewellen, T. S. Lund, J. K. Lundquist, A. McCabe, A. F. Moene, Y. Noh, S. Raasch, and P. Sullivan. 2006. An intercomparison of large-eddy simulations of the stable boundary layer. Boundary-Layer Meteorology 118 (2), 247-272.

2004

6.    Piper, M., and J. K. Lundquist. 2004. Surface layer turbulence measurements during a frontal passage. Journal of the Atmospheric Sciences 61 (14), 1768-1780.

2003

5.    Lundquist, J. K. 2003. Intermittent and elliptical inertial oscillations in the atmospheric boundary layer. Journal of the Atmospheric Sciences 60 (21), 2661-2673.

2002

4.    Poulos, G. S., W. Blumen, D. C. Fritts, J. K. Lundquist, J. Sun, S. P. Burns, C. Nappo, R. Banta, R. Newsom, J. Cuxart, E. Terradellas, B. Balsley, and M. Jensen. 2002. CASES-99: A comprehensive investigation of the stable nocturnal boundary layer. Bulletin of the American Meteorological Society 83 (4), 555-581.

3.    Banta, R. M., R. K. Newsom, J. K. Lundquist, Y. L. Pichugina, R. L. Coulter, and L. Mahrt. 2002. Nocturnal low-level jet characteristics over Kansas during CASES-99. Boundary-Layer Meteorology 105 (2), 221-252.

2001

2.    Blumen, W., and J. K. Lundquist. 2001. Spin-up and spin-down in rotating fluid exhibiting inertial oscillations and frontogenesis. Dynamics of Atmospheres and Oceans 33 (3), 219-237.

2000

1.    LeMone, M. A., R. L. Grossman, R. L. Coulter, M. L. Wesley, G. E. Klazura, G. S. Poulos, W. Blumen, J. K. Lundquist, R. H. Cuenca, S. F. Kelly, E. A. Brandes, S. P. Oncley, R. T. McMillen, and B. B. Hicks. 2000. Land-atmosphere interaction research, early results, and opportunities in the Walnut River Watershed in southeast Kansas: CASES and ABLE. Bulletin of the American Meteorological Society 81 (4), 757-779.