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ORCID 0000-0001-5490-2702
Publications by year
2021
113. Rybchuk, O., J. K. Lundquist, C. Alden, and G. Reiker, 2021, Validation of near-surface dispersion simulation of WRF-LES with Project Prairie Grass data. Monthly Weather Review , 149(5), 1619-1633, https://journals.ametsoc.org/view/journals/mwre/149/5/MWR-D-20-0233.1.xml (First author graduate student supervised by Lundquist.)
112. Jensen,
A. A., J. O. Pinto, S. C. C. Bailey, R. A. Sobash, G. de Boer, A. L.
Houston, P. B. Chilson, T. Bell, G. Romine, S. W. Smith, D. A.
Lawrence, C. Dixon, J. K. Lundquist,
J. D. Jacob, J. Elston, S. Waugh, M. Steiner, 2021, Assimilation of a
coordinated fleet of unmanned aircraft systems observations in complex
terrain: EnKF system design and preliminary assessment. Monthly Weather Review. https://doi.org/10.1175/MWR-D-20-0359.1
111. Bell, T. M., P. M. Klein, J. K. Lundquist, and S. Waugh, 2021, Remote sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign. Earth System Science Data, 13, 1041-1051, 2021.
110. Draxl, C., R. Worsnop, G. Xia, Y. Pichugina, D.. Chand, J. K. Lundquist,
J. Sharp, G. Wedam, J. M. Wilczak, and L. K. Berg, 2020, Mountain waves
impact wind power generation, Wind Energy Science, 6, 45-60.
109. Tomaszewski, J. and J. K. Lundquist,
2020, Observations and Simulations of a Wind Farm Modifying a
Thunderstorm Outflow Boundary. Wind Energy
Science, 6, 1-13. (First author graduate student supervised by Lundquist.)
2020
108. Livingston, H. and J. K. Lundquist, 2020, How many offshore wind turbines does New England need?, Meteorological Applications, 2020; 27:e1969. (First author undergraduate student supervised by Lundquist.)
107. Xia G., C. Draxl, A. Raghavendra, and J. K. Lundquist,
2020, Validating Simulated Mountain Wave Impacts on Hub-Height Wind
Speed Using SoDAR Observations, accepted for publication in Renewable
Energy, https://doi.org/10.1016/j.renene.2020.10.127
106. Englberger, A., J. K. Lundquist, and A. Dörnback, 2020,
Changing the rotational direction of a wind turbine under veering
inflow: a parameter study, Wind Energ. Sci., 5, 1623–1644,
https://doi.org/10.5194/wes-5-1623-2020, 2020.
105. Bloomfield, H. C.; P. L.M. Gonzalez; J. K. Lundquist;
L. P. Laurens; Jethro Browell; Roger Dargaville; Matteo De Felice;
Katharina Gruber; Adriaan Hilbers; Alex Kies; Mathaios Panteli; Hazel E
Thornton; Jan Wohland; Marianne Zeyringer; David J Brayshaw, 2020, The
importance of weather and climate to energy systems: A workshop on Next
Generation Challenges in Energy-Climate Modelling. Accepted for
publication in the Bulletin of the American Meteorological Society.
104. de
Boer, G., Houston, A., Jacob, J., Chilson, P. B., Smith, S. W., Argrow,
B., Lawrence, D., Elston, J., Brus, D., Kemppinen, O., Klein, P., Lundquist, J. K.,
Waugh, S., Bailey, S. C. C., Frazier, A., Sama, M. P., Crick, C.,
Schmale III, D., Pinto, J., Pillar-Little, E. A., Natalie, V., and
Jensen, A.: Data generated during the 2018 LAPSE-RATE campaign: an
introduction and overview, Earth Syst. Sci. Data, 12, 3357–3366, https://doi.org/10.5194/essd-12-3357-2020, 2020.
103. Djalalova,
I. V., Bianco, L., Akish, E., Wilczak, J. M., Olson, J. B., Kenyon, J.
S., Berg, L. K., Choukulkar, A., Coulter, R., Fernando, H. J. S.,
Grimit, E., Krishnamurthy, R., Lundquist, J. K.,
Muradyan, P., Turner, D. D., & Wharton, S. (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(6), 2407-2421, https://journals.ametsoc.org/view/journals/wefo/35/6/WAF-D-20-0072.1.xml
102. Englberger, A., A. Dörnback, and J. K. Lundquist,
2020, Does the rotational direction of a wind turbine impact the wake
in a stably stratified atmospheric boundary layer? Wind Energ. Sci., 5, 1359–1374, https://doi.org/10.5194/wes-5-1359-2020.
101. Bodini, N., J. K. Lundquist,
and M. Optis, 2020, Can machine learning improve the model
representation of TKE dissipation rate in the boundary layer for
complex terrain? Geoscientific Model Development 13, 4271–4285,
https://doi.org/10.5194/gmd-13-4271-2020. (First author graduate student supervised by Lundquist when the paper was written.)
100. Murphy, P., Lundquist, J. K.,
Fleming, P., 2020, How wind speed shear and directional veer affect the
power production of a megawatt-scale operational wind turbine. Wind Energy Science, 5, 1169-1190, https://doi.org/10.5194/wes-5-1169-2020 (First author undergraduate student supervised by Lundquist).
99. Pichugina, Y., R.M. Banta, W. A. Brewer, L. Bianco, C. Draxl, J. Kenyon, J. K. Lundquist,
J. B. Olson, D. D. Turner, S. Wharton, J. Wilczak, S. Baidar, L. K.
Berg, H.J.S. Fernando, B. J. McCarty, R. Rai, B. Roberts, J. Sharp, W.
J. Shaw, M. T. Stoelinga, and R. Worsnop, 2020, Evaluating the WFIP2
updates to the HRRR model using scanning Doppler lidar measurements in
the complex terrain of the Columbia River Basin. Journal of Renewable
and Sustainable Energy, 12, 043301 (2020);
https://doi.org/10.1063/5.0009138.
98. Fleming, P., King, J., Simley, E., Roadman, J., Scholbrock, A., Murphy, P., Lundquist, J. K.,
Moriarty, P., Fleming, K., van Dam, J., Bay, C., Mudafort, R., Jager,
D., Skopek, J., Scott, M., Ryan, B., Guernsey, C., and Brake, D.:
Continued Results from a Field Campaign of Wake Steering Applied at a
Commercial Wind Farm: Part 2, accepted for publication in Wind Energ. Sci., https://doi.org/10.5194/wes-2019-104, 2020.
97. Luchetti, N. T., K. Friedrich, C. E. Rodell, and J. K. Lundquist, 2020, Characterizating Thunderstorm Gust Fronts Near Complex Terrain. Monthly Weather Review 148 (8): 3267–3286. (First author student co-supervised by Lundquist)
96. Tomaszewski, J. M., and J. K. Lundquist,
2020, Simulated wind farm wake sensitivity to configuration choices in
the Weather Research and Forecasting model version 3.8.1. Geoscientific Model Development, 13, 2645-2662, https://doi.org/10.5194/gmd-13-2645-2020. (First author student supervised by Lundquist)
95. Gasch, P., Wieser, A., Lundquist, J. K.,
and Kalthoff, N.: An LES-based airborne Doppler lidar simulator and its
application to wind profiling in inhomogeneous flow conditions, Atmos. Meas. Tech.,
13, 1609–1631, https://doi.org/10.5194/amt-13-1609-2020, 2020. (First
author visiting student supervised by Lundquist during CU visit)
94. Siedersleben, S. K., Platis, A., Lundquist, J. K.,
Djath, B., Lampert, A., Bärfuss, K., Cañadillas, B.,
Schulz-Stellenfleth, J., Bange, J., Neumann, T., and Emeis, S.:
Turbulent kinetic energy over large offshore wind farms observed and
simulated by the mesoscale model WRF (3.8.1), Geosci. Model Dev.,
13, 249–268, https://doi.org/10.5194/gmd-13-249-2020, 2020 (First
author visiting student supervised by Lundquist during CU visit)
93. de
Boer, Gijs, C. Diehl, J. Jacob, A. Houston, S. Smith, P. Chilson,
D. G. Schmale III, J. Intrieri, J. Pinto, J. Elston, David Brus, Osku
Kemppinen, Alex Clark, Dale Lawrence, Sean Bailey, Amy Frazier,
Victoria Natalie, Elizabeth Pillar-Little, Petra Klein, Sean Waugh, J. K. Lundquist,
L. Barbieri, S. Kral, A. Jensen, C. Dixon, Steven Borenstein, Daniel
Hesselius, Kathleen Human, Phillip Hall, Brian Argrow, Troy Thornberry,
Ru-Shan Gao, Randy Wright, and J. T. Kelly, 2020, Development of
community, capabilities and understanding through unmanned
aircraft-based atmospheric research: The LAPSE-RATE campaign. Bulletin of the American Meteorological Society 101 (5): E684–E699. https://doi.org/10.1175/BAMS-D-19-0050.1
92. Bianco,
L. I.V. Djalalova, J. M. Wilczak, J. B. Olson, J. S. Kenyon, A.
Choukulkar, L. K. Berg, H. J. S. Fernando, E. P. Grimit, R.
Krishnamurthy, J. K. Lundquist,
P. Muradyan, M. Pekour, Y. Pichugina, M. T. Stoelinga, D. D. Turner,
2019, Impact of model improvements on 80-m wind speeds during the
second Wind Forecast Improvement Project (WFIP2), Geosci. Model Dev., 12, 4803–4821, https://doi.org/10.5194/gmd-12-4803-2019
91. Sanchez Gomez, M. and Lundquist, J. K.: The effect of wind direction shear on turbine performance in a wind farm in central Iowa, Wind Energ. Sci., 5, 125–139, https://doi.org/10.5194/wes-5-125-2020, 2020. (First author student supervised by Lundquist)
90. Wildmann, N., N. Bodini, J. K. Lundquist,
L. Bariteau, J. Wagner, 2020. Estimation of turbulence parameters from
scanning lidars and in-situ instrumentation in the Perdigão 2017
campaign. Atmospheric Measurement Techniques 12, 6401–6423, https://doi.org/10.5194/amt-12-6401-2019
89. Kapoor, A., Ouakka, S., Arwade, S. R., Lundquist, J. K.,
Lackner, M. A., Myers, A. T., Worsnop, R. P., and Bryan, G. H.:
Hurricane eyewall winds and structural response of wind turbines, Wind Energ. Sci., 5, 89–104, https://doi.org/10.5194/wes-5-89-2020 , 2020.
2019
88. Veers, P., K. Dykes, E. Lantz, S. Barth, C. Bottasso, O. Carlson, A. J. Clifton, H. Holttinen, D. Laird, V. Lehtomäki, J. K. Lundquist,
J. Manwell, M. Marquis, C. Meneveau, P. Moriarty, X. Munduate, M.
Muskulus, J. Naughton, L. Pao, J., Paquette, J. Peinke, A. Robertson,
J. Sanz-Rodrigo, A. M. Sempreviva, C. Smith, A. Tuohy, R. Wiser, 2019.
Grand Challenges in the Science of Wind Energy and the Need for
Integrated Research. Science. DOI: 10.1126/science.aau2027
87. Olson,
J.B., J.S. Kenyon, I. Djalalova, L. Bianco, D.D. Turner, Y. Pichugina,
A. Choukulkar, M.D. Toy, J.M. Brown, W.M. Angevine, E. Akish, J. Bao,
P. Jimenez, B. Kosovic, K.A. Lundquist, C. Draxl, J.K. Lundquist,
J. McCaa, K. McCaffrey, K. Lantz, C. Long, J. Wilczak, R. Banta, M.
Marquis, S. Redfern, L.K. Berg, W. Shaw, and J. Cline, 2019: Improving
Wind Energy Forecasting through Numerical Weather Prediction Model
Development. Bull. Amer. Meteor. Soc., 100, 2201–2220, https://doi.org/10.1175/BAMS-D-18-0040.1.
86. Mazzaro, L., E. Koo, D. Muñoz-Esparza, J. K. Lundquist,
R. R. Linn: Random force perturbations: a new extension of the cell
perturbation method for turbulence generation in multi-scale
atmospheric boundary layer simulations, Journal for Advances in Modeling Earth Systems,
11, 2311-2329, 2019.
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001608
(First author student supervised by Lundquist)
85. Fleming, P., King, J., Dykes, K., Simley, E., Roadman, J., Scholbrock, A., Murphy, P., Lundquist, J. K.,
Moriarty, P., Fleming, K., van Dam, J., Bay, C., Mudafort, R., Lopez,
H., Skopek, J., Scott, M., Ryan, B., Guernsey, C., and Brake, D.:
Initial Results From a Field Campaign of Wake Steering Applied at a
Commercial Wind Farm: Part 1, Wind Energy Science, 4, 273–285, https://doi.org/10.5194/wes-4-273-2019
84. Bodini, N., J. K. Lundquist, A. Kirincich, 2019. Offshore wind turbines will encounter very low atmospheric turbulence. Geophysical Research Letters
46, 5582-5591
https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL082636
(First author student supervised by Lundquist)
83. Wilczak, J.M., M. Stoelinga, L.K. Berg, J. Sharp, C. Draxl, K. McCaffrey, R.M. Banta, L. Bianco, I. Djalalova, J.K. Lundquist,
P. Muradyan, A. Choukulkar, L. Leo, T. Bonin, Y. Pichugina, R. Eckman,
C.N. Long, K. Lantz, R.P. Worsnop, J. Bickford, N. Bodini, D. Chand, A.
Clifton, J. Cline, D.R. Cook, H.J. Fernando, K. Friedrich, R.
Krishnamurthy, M. Marquis, J. McCaa, J.B. Olson, S. Otarola-Bustos, G.
Scott, W.J. Shaw, S. Wharton, and A.B. White, 2019: The Second Wind
Forecast Improvement Project (WFIP2): Observational Field Campaign. Bull. Amer. Meteor. Soc., 100, 1701–1723, https://doi.org/10.1175/BAMS-D-18-0035.1
82. Shaw, W.J., L.K. Berg, J. Cline, C. Draxl, I. Djalalova, E.P. Grimit, J.K. Lundquist,
M. Marquis, J. McCaa, J.B. Olson, C. Sivaraman, J. Sharp, and J.M.
Wilczak, 2019: The Second Wind Forecast Improvement Project (WFIP2):
General Overview. Bull. Amer. Meteor. Soc., 100, 1687–1699, https://doi.org/10.1175/BAMS-D-18-0036.1
81. Bodini, N., Lundquist, J. K.,
Krishnamurthy, R., Pekour, M., Berg, L. K., and Choukulkar, A.: Spatial
and temporal variability of turbulence dissipation rate in complex
terrain, Atmos. Chem. Phys., 19, 4367-4382,
https://doi.org/10.5194/acp-19-4367-2019, 2019. (First author student
supervised by Lundquist)
80. Menke, R., Vasiljević, N., Mann, J., and Lundquist, J. K.:
Characterization of flow recirculation zones at the Perdigão site using
multi-lidar measurements, Atmos. Chem. Phys., 19, 2713-2723,
https://doi.org/10.5194/acp-19-2713-2019, 2019. (First author vsiting
student supervised by Lundquist during CU visit)
79. Redfern, S., J. B. Olson, J. K. Lundquist,
C. T. M. Clack, 2019, Incorporation of the Rotor-Equivalent Wind Speed
into the Weather Research and Forecasting model’s Wind Farm
Parameterization. Monthly Weather Review 147, 1029-1046. (First author student supervised by Lundquist)
78. Fernando, H. J. S., J. Mann, J. M. L. M. Palma, J. K. Lundquist,
and 44 other co-authors, 2019, The Perdigão: Peering into Microscale
Details of Mounain Winds, accepted for publication in the Bulletin of the American Meteorological Society.
2018
77. Siedersleben, S. K., J. K. Lundquist,
A. Platis, A. Lampert, K. Bärfuss, B. Cañadillas, B. Djath, J.
Schulz-Stellenfleth, T. Neumann, J. Bange, S. Emeis, 2018,
Micrometeorological Impacts of Offshore Wind Farms as seen in
Observations and Simulations, Environmental Research Letters 13, 124012. (First author visiting student supervised by Lundquist during CU visit)
76. Lundquist, J. K.,
K.K. DuVivier, D. Kaffine, J. M. Tomaszewski, 2018. Costs and
consequences of wind turbine wake effects arising from uncoordinated
wind energy development. Nature Energy, https://doi.org/10.1038/s41560-018-0281-2.
75. Lee, J. C.-Y., M. J. Fields, J. K. Lundquist, 2018, Assessing Variability of Wind Speed: Comparison and Validation of 27 Methodologies. Wind Energy Science, 3, 845-868, https://doi.org/10.5194/wes-3-845-2018. (First author student supervised by Lundquist)
74. Tomaszewski, J.M., J. K. Lundquist,
M. J. Churchfield, and P. Moriarty. 2018. Do wind turbines pose roll
hazards to light aircraft? Wind Energy Science, 3, 833-843,
https://doi.org/10.5194/wes-3-833-2018. (First author student
supervised by Lundquist)
73. Siedersleben, S. K., A. Platis, J. K. Lundquist,
A. Lampert, K. Bärfuss, B. Canadillas, B. Djath, J.
Schulz-Stellenfleth, J. Bange, T. Neumann, S. Emeis: Evaluation of a
Wind Farm Parametrization for Mesoscale Atmospheric Flow Models with
Aircraft Measurements, Met. Zeit., 2018, DOI: 10.1127/metz/2018/0900 (First author visiting student supervised by Lundquist during CU visit)
72. Bodini, N., Lundquist, J. K.,
and Newsom, R. K.: Estimation of turbulence dissipation rate and its
variability from sonic anemometer and wind Doppler lidar during the
XPIA field campaign, Atmos. Meas. Tech., 11, 4291-4308, https://doi.org/10.5194/amt-11-4291-2018, 2018. (First author student supervised by Lundquist)
71. Worsnop, R., M. Scheuerer, T. Hamill, and J. K. Lundquist, 2018: Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing. Wind Energy Science, 3, 371-393. https://doi.org/10.5194/wes-3-371-2018. (First author student supervised by Lundquist)
70. Muñoz-Esparza, D., R.D. Sharman, and J.K. Lundquist,
2018: Turbulence Dissipation Rate in the Atmospheric Boundary Layer:
Observations and WRF Mesoscale Modeling during the XPIA Field Campaign.
Mon. Wea. Rev., 146, 351–371, https://doi.org/10.1175/MWR-D-17-0186.1
69. Karnauskas,
K. B., J. K. Lundquist, L. Zhang, 2018. Southward shift of the global
wind energy resource under high carbon dioxide emissions. Nature
Geoscience, 11, 38-43 (2018). doi:10.1038/s41561-017-0029-9
2017
68. Marjanovic,
N., J. D. Mirocha, B. Kosović, J. K. Lundquist, F. K. Chow. 2017.
Implementation of a generalized actuator line model for wind turbine
parameterization in the Weather Research and Forecasting model. Journal
of Renewable and Sustainable Energy 9, 063308 (2017);
https://doi.org/10.1063/1.4989443
67. Williams,
P. D., and 14 co-authors including J. K. Lundquist, 2017. A census of
atmospheric variability from seconds to decades. Geophysical Research
Letters, 44, 11,201–11,211. https://doi.org/10.1002/2017GL075483.
66. Lee,
J. C.-Y, and J. K. Lundquist, 2017. Evaluation of the WRF Wind Farm
Parameterization with meteorological and turbine power data. Geosci.
Model Dev., 10, 4229-4244, https://doi.org/10.5194/gmd-10-4229-2017,
2017. (First author student supervised by Lundquist)
65. Bodini, N., J. K. Lundquist,and
D. Zardi. 2017. Three-dimensional structure of wind turbine wakes as
measured by scanning lidar, Atmos. Meas. Tech., 10, 2881-2896,
https://doi.org/10.5194/amt-10-2881-2017. (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. Journal of Advances in Modeling Earth Systems 9, 1795–1810, 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) Note the Corrigendum to this paper: https://doi.org/10.1175/MWR-D-12-00341.1
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.