Beyrich, F.: Sodar observations of the stable boundary layer height in relation to the nocturnal low-level jet, Meteorol. Z., 3, 29–34, 1994. a
Beyrich, F., Kalass, D., and Weisensee, U.: Influence of the nocturnal low-level-jet on the vertical and mesoscale structure of the stable boundary layer as revealed from doppler-sodar-observations, in: Acoustic remote sensing applications, Springer, 236–246,
https://doi.org/10.1007/BFb0009568, 1997.
a,
b,
c
Brown, A., Beljaars, A., Hersbach, H., Hollingsworth, A., Miller, M., and
Vasiljevic, D.: Wind turning across the marine atmospheric boundary layer, Q. J. Roy. Meteorol. Soc., 131, 1233–1250, 2005. a
Brown, A., Beare, R., Edwards, J., Lock, A., Keogh, S., Milton, S., and
Walters, D.: Upgrades to the boundary-layer scheme in the Met Office
numerical weather prediction model, Bound.-Lay. Meteorol., 128, 117–132, 2008. a
Debnath, M., Doubrawa, P., Optis, M., Hawbecker, P., and Bodini, N.: Extreme
wind shear events in US offshore wind energy areas and the role of induced
stratification, Wind Energ. Sci., 6, 1043–1059,
https://doi.org/10.5194/wes-6-1043-2021, 2021.
a
Doosttalab, A., Siguenza-Alvarado, D., Pulletikurthi, V., Jin, Y., Bocanegra Evans, H., Chamorro, L. P., and Castillo, L.: Interaction of low-level jets with wind turbines: On the basic mechanisms for enhanced performance, J. Renew. Sustain. Energ., 12, 053301,
https://doi.org/10.1063/5.0017230, 2020.
a
Druecke, J., Borsche, M., James, P., Kaspar, F., Pfeifroth, U., Ahrens, B., and Trentmann, J.: Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification, Renew. Energy, 164,
1254–1266,
https://doi.org/10.1016/j.renene.2020.10.102, 2021.
a
Englberger, A., Lundquist, J. K., and Dörnbrack, A.: 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.
a
FESSTVal: FESSTVaL – Field Experiment on Submesoscale Spatio-Temporal
Variability in Lindenberg,
https://fesstval.de/en/ (last access: 18 July 2022), 2020. a
Fiedler, S., Schepanski, K., Heinold, B., Knippertz, P., and Tegen, I.:
Climatology of nocturnal low-level jets over North Africa and implications
for modeling mineral dust emission, J. Geophys. Res.-Atmos., 118, 6100–6121, 2013.
a,
b
Frank, C., Fiedler, S., and Crewell, S.: Balancing potential of natural
variability and extremes in photovoltaic and wind energy production for
European countries, Renew. Energy, 163, 674–684, 2021. a
Gualtieri, G.: A comprehensive review on wind resource extrapolation models
applied in wind energy, Renew. Sustain. Energ. Rev., 102, 215–233, 2019. a
Gutierrez, W., Araya, G., Kiliyanpilakkil, P., Ruiz-Columbie, A., Tutkun, M.,
and Castillo, L.: Structural impact assessment of low level jets over wind
turbines, J. Renew. Sustain. Energ., 8, 023308,
https://doi.org/10.1063/1.4945359, 2016.
a,
b,
c
Gutierrez, W., Ruiz-Columbie, A., Tutkun, M., and Castillo, L.: Impacts of the low-level jet's negative wind shear on the wind turbine, Wind Energ. Sci., 2, 533–545,
https://doi.org/10.5194/wes-2-533-2017, 2017.
a
Hallgren, C., Arnqvist, J., Ivanell, S., Körnich, H., Vakkari, V., and
Sahlée, E.: Looking for an offshore low-level jet champion among recent
reanalyses: a tight race over the Baltic Sea, Energies, 13, 3670
https://doi.org/10.3390/en13143670, 2020.
a,
b,
c,
d,
e
Han, Y., Yang, Q., Liu, N., Zhang, K., Qing, C., Li, X., Wu, X., and Luo, T.:
Analysis of wind-speed profiles and optical turbulence above Gaomeigu and
the Tibetan Plateau using ERA5 data, Mon. Notic. Roy. Astron. Soc., 501, 4692–4702,
https://doi.org/10.1093/mnras/staa2960, 2021.
a
Heinold, B., Knippertz, P., Marsham, J., Fiedler, S., Dixon, N., Schepanski,
K., Laurent, B., and Tegen, I.: The role of deep convection and nocturnal
low-level jets for dust emission in summertime West Africa: Estimates from
convection-permitting simulations, J. Geophys. Res.-Atmos., 118, 4385–4400, 2013. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, 2020.
a,
b
IRENA: Future of wind: Deployment, investment, technology, grid integration
and socio-economic aspects (A Global Energy Transformation paper), Tech. rep., International Renewable Energy Agency, Abu Dhabi,
https://www.irena.org/publications/2019/Oct/Future-of-wind (last access: 18 July 2022), 2019. a
James, P.: An objective classification method for Hess and Brezowsky
Grosswetterlagen over Europe, Theor. Appl. Climatol., 88, 17–42, 2007.
a,
b,
c
Kalverla, P. C., Duncan, J. B., Steeneveld, G. J., and Holtslag, A. A.:
Low-level jets over the north sea based on ERA5 and observations: Together
they do better, Wind Energ. Sci., 4, 193–209,
https://doi.org/10.5194/wes-4-193-2019, 2019.
a,
b
Lampert, A., Bernalte Jimenez, B., Gross, G., Wulff, D., and Kenull, T.:
One-year observations of the wind distribution and low-level jet occurrence
at Braunschweig, North German Plain, Wind Energy, 19, 1807–1817,
https://doi.org/10.1002/we.1951, 2016.
a
Lupo, A. R.: Atmospheric blocking events: a review, Ann. NY. Acad. Sci., 1504, 5–24, 2021. a
Marke, T., Crewell, S., Schemann, V., Schween, J. H., and Tuononen, M.:
Long-term observations and high-resolution modeling of midlatitude nocturnal
boundary layer processes connected to low-level jets, J. Appl. Meteorol. Clim., 57, 1155–1170,
https://doi.org/10.1175/JAMC-D-17-0341.1, 2018.
a
Mirocha, J. D., Simpson, M. D., Fast, J. D., Berg, L. K., and Baskett, R. L.:
Investigation of boundary-layer wind predictions during nocturnal low-level
jet events using the Weather Research and Forecasting model, Wind Energy, 19, 739–762,
https://doi.org/10.1002/we.1862, 2016.
a
Murphy, P., Lundquist, J. K., and Fleming, P.: How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine, Wind Energ. Sci., 5, 1169–1190,
https://doi.org/10.5194/wes-5-1169-2020, 2020.
a,
b
OECD/IEA: International Energy Agency (IEA), World Energy Outlook 2017, Tech. rep., OECD/IEA,
https://www.iea.org/reports/world-energy-outlook-2017 (last access: 18 July 2022), 2017.
a,
b
Päschke, E., Leinweber, R., and Lehmann, V.: An assessment of the
performance of a 1.5
µm Doppler lidar for operational vertical wind
profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251–2266,
https://doi.org/10.5194/amt-8-2251-2015, 2015.
a
Pearson, G., Davies, F., and Collier, C.: An Analysis of the Performance of
the UFAM Pulsed Doppler Lidar for Observing the Boundary Layer, J. Atmos. Ocean. Tech., 26, 240–250,
https://doi.org/10.1175/2008JTECHA1128.1, 2009.
a
Peña Diaz, A., Mikkelsen, T., Gryning, S.-E., Hasager, C. B., Hahmann,
A. N., Badger, M., Karagali, I., and Courtney, M.: Offshore vertical wind
shear: Final report on NORSEWInD's work task 3.1, Tech. rep., DTU Wind
Energy,
https://orbit.dtu.dk/en/publications/offshore-vertical-wind-shear-final-report-on-norsewinds-work-task (last access: 18 July 2022), 2012. a
Pichugina, Y. L., Brewer, W. A., Banta, R. M., Choukulkar, A., Clack, C. T. M., Marquis, M. C., McCarty, B. J., Weickmann, A. M., Sandberg, S. P.,
Marchbanks, R. D., and Hardesty, R. M.: Properties of the offshore low level
jet and rotor layer wind shear as measured by scanning Doppler Lidar, Wind
Energy, 20, 987–1002,
https://doi.org/10.1002/we.2075, 2017.
a,
b
Rohrig, K., Berkhout, V., Callies, D., Durstewitz, M., Faulstich, S., Hahn, B., Jung, M., Pauscher, L., Seibel, A., Shan, M., Siefert, M., Steffen, J.,
Collmann, M., Czichon, S., Dörenkämper, M., Gottschall, J., Lange, B., Ruhle, A., Sayer, F., Stoevesandt, B., and Wenske, J.: Powering the 21st century by wind energy – Options, facts, figures, Appl. Phys. Rev., 6, 031303,
https://doi.org/10.1063/1.5089877, 2019.
a,
b
Salio, P., Nicolini, M., and Zipser, E. J.: Mesoscale convective systems over
southeastern South America and their relationship with the South American
low-level jet, Mon. Weather Rev., 135, 1290–1309, 2007.
a,
b
Sandu, I., Beljaars, A., Bechtold, P., Mauritsen, T., and Balsamo, G.: Why is
it so difficult to represent stably stratified conditions in numerical
weather prediction (NWP) models?, J. Adv. Model. Earth Syst., 5, 117–133, 2013.
a,
b
Shapiro, A. and Fedorovich, E.: Analytical description of a nocturnal low-level jet, Q. J. Roy. Meteorol. Soc., 136, 1255–1262,
https://doi.org/10.1002/qj.628, 2010.
a,
b
Sharma, V., Parlange, M. B., and Calaf, M.: Perturbations to the Spatial and
Temporal Characteristics of the Diurnally-Varying Atmospheric Boundary Layer
Due to an Extensive Wind Farm, Bound.-Lay. Meteorol., 162, 255–282,
https://doi.org/10.1007/s10546-016-0195-0, 2017.
a
Sisterson, D. L. and Frenzen, P.: Nocturnal boundary-layer wind maxima and the problem of wind power assessment, Environ. Sci. Technol., 12, 218–221,
https://doi.org/10.1021/es60138a014, 1978.
a
Smalikho, I. N. and Banakh, V. A.: Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer, Atmos. Meas. Tech., 10, 4191–4208,
https://doi.org/10.5194/amt-10-4191-2017, 2017.
a
Steinheuer, J., Detring, C., Kayser, M., and Leinweber, R.: Doppler wind lidar wind and gust data from FESTVAL 2019/2020, Falkenberg, data version 01, Universität Hamburg [data set],
https://doi.org/10.25592/UHHFDM.9758, 2021.
a
Steinheuer, J., Detring, C., Beyrich, F., Löhnert, U., Friederichs, P., and Fiedler, S.: A new scanning scheme and flexible retrieval for mean winds and gusts from Doppler lidar measurements, Atmos. Meas. Tech., 15, 3243–3260,
https://doi.org/10.5194/amt-15-3243-2022, 2022.
a
Suomi, I., Gryning, S. E., O'Connor, E. J., and Vihma, T.: Methodology for
obtaining wind gusts using Doppler lidar, Q. J. Roy. Meteorol. Soc., 143, 2061–2072,
https://doi.org/10.1002/qj.3059, 2017.
a,
b
Svensson, G. and Holtslag, A. A.: Analysis of model results for the turning of the wind and related momentum fluxes in the stable boundary layer,
Bound.-Lay. Meteorol., 132, 261–277, 2009. a
Svensson, N., Bergström, H., Rutgersson, A., and Sahlée, E.:
Modification of the Baltic Sea wind field by land‐sea interaction, Wind
Energy, 22, 764–779,
https://doi.org/10.1002/we.2320, 2019.
a
Tuononen, M., O'Connor, E. J., Sinclair, V. A., and Vakkari, V.: Low-level
jets over Utö, Finland, based on Doppler lidar observations, J. Appl. Meteorol. Clim., 56, 2577–2594, 2017. a
Van de Wiel, B. J. H., Moene, A. F., Steeneveld, G. J., Baas, P., Bosveld, F. C., and Holtslag, A. A. M.: A Conceptual View on Inertial Oscillations and Nocturnal Low-Level Jets, J. Atmos. Sci., 67, 2679–2689,
https://doi.org/10.1175/2010JAS3289.1, 2010.
a,
b,
c
Wagner, D., Steinfeld, G., Witha, B., Wurps, H., and Reuder, J.: Low level
jets over the southern North Sea, Meteorol. Z., 28, 389–415,
https://doi.org/10.1127/metz/2019/0948, 2019.
a
Ziemann, A., Galvez Arboleda, A., and Lampert, A.: Comparison of Wind Lidar
Data and Numerical Simulations of the Low-Level Jet at a Grassland Site,
Energies, 13, 6264,
https://doi.org/10.3390/en13236264, 2020.
a,
b,
c,
d,
e,
f
