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Publications
Bell, T. M., Klein, P., Wildmann, N., and Menke, R.: Analysis of flow in complex terrain using multi-Doppler lidar retrievals, Atmos. Meas. Tech., 13, 1357–1371, https://doi.org/10.5194/amt-13-1357-2020, 2020. Bodini, N., Lundquist, J. K., and Optis, M.: Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?, Geosci. Model Dev., 13, 4271–4285, https://doi.org/10.5194/gmd-13-4271-2020, 2020. Dar, A. S., Berg, J., Troldborg, N., and Patton, E. G.: On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation, Wind Energ. Sci., 4, 633–644, https://doi.org/10.5194/wes-4-633-2019, 2019. Fernando, H., J. Mann, J. Palma, J. Lundquist, R. Barthelmie, M. BeloPereira, W. Brown, F. Chow, T. Gerz, C. Hocut, P. Klein, L. Leo, J. Matos, S. Oncley, S. Pryor, L. Bariteau, T. Bell, N. Bodini, M. Carney, M. Courtney, E. Creegan, R. Dimitrova, S. Gomes, M. Hagen, J. Hyde, S. Kigle, R. Krishnamurthy, J. Lopes, L. Mazzaro, J. Neher, R. Menke, P. Murphy, L. Oswald, S. Otarola-Bustos, A. Pattantyus, C. Rodrigues, A. Schady, N. Sirin, S. Spuler, E. Svensson, J. Tomaszewski, D. Turner, L. van Veen, N. Vasiljevic, D. Vassallo, S. Voss, N. Wildmann, and Y. Wang, 2019: The Perdigão: Peering into Microscale Details of Mountain Winds. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-1-0227.1. Letson, F., Barthelmie, R. J., Hu, W., and Pryor, S. C.: Characterizing wind gusts in complex terrain, Atmos. Chem. Phys., 19, 3797-3819, https://doi.org/10.5194/acp-19-3797-2019, 2019. Menke, R., Vasiljević, N., Hansen, K. S., Hahmann, A. N., and Mann, J.: Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain, Wind Energ. Sci., 3, 681-691, https://doi.org/10.5194/wes-3-681-2018, 2018. 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. Menke, R., Vasiljević, N., Wagner, J., Oncley, S. P., and Mann, J.: Multi-lidar wind resource mapping in complex terrain, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-85, in review, 2019. Palma, J., C. A. M. Silva, V. C. Gomes, A. S. Lopes, T. Simoes, P. Costa, V. T. P. Batista (2020): The digital terrain model in the computational modelling of the flow over the Perdigão site: the appropriate grid size, Wind Eng. Sci., 5, 1469–1485,
https://doi.org/10.5194/wes-5-1469-2020 Ribeiro, C., Rocha da Silva, J., Aguiar Castro, J., Carvalho Amorim, R., Correia Lopes, J., & David, G. (2018). Research Data Management Tools and Workflows: Experimental Work at the University of Porto. IASSIST Quarterly, 42(2), 1–16. https://doi.org/10.29173/iq925 Shaw, W. J., Berg, L. K., Cline, J., Draxl, C., Djalalova, I., Grimit, E. P., Lundquist, J. K., Marquis, M., McCaa, J., Olson, J. B., Sivaraman, C., Sharp, J., & Wilczak, J. M. (2019). The Second Wind Forecast Improvement Project (WFIP2): General Overview, Bulletin of the American Meteorological Society, 100(9), 1687-1699. Vasiljević, N., L. M. Palma, J. M., Angelou, N., Carlos Matos, J., Menke, R., Lea, G., Mann, J., Courtney, M., Frölen Ribeiro, L., and M. G. C. Gomes, V. M., 2017: Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments. Atmos. Meas. Tech., 10, 3463-3483, doi: 10.5194/amt-10-3463-2017. Vassallo, D., Krishnamurthy, R., and Fernando, H. J. S.: Decreasing wind speed extrapolation error via domain-specific feature extraction and selection, Wind Energ. Sci., 5, 959–975, https://doi.org/10.5194/wes-5-959-2020, 2020. Vassallo, D., Krishnamurthy, R., and Fernando, H. J. S.: Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error, Wind Energ. Sci., 6, 295–309, https://doi.org/10.5194/wes-6-295-2021, 2021. Vassallo, D., Krishnamurthy, R., Menke, R., & Fernando, H. J. S. (2021). Observations of Stably Stratified Flow through a Microscale Gap, Journal of the Atmospheric Sciences, 78(1), 189-208. Wagner, J., Gerz, T., Wildmann, N., and Gramitzky, K.: Long-term simulation of the boundary layer flow over the double-ridge site during the Perdigão 2017 field campaign, Atmos. Chem. Phys., 19, 1129–1146, https://doi.org/10.5194/acp-19-1129-2019, 2019. Wildmann, N., Bodini, N., Lundquist, J. K., Bariteau, L., and Wagner, J.: Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign, Atmos. Meas. Tech., 12, 6401–6423, https://doi.org/10.5194/amt-12-6401-2019, 2019. Wildmann, N., Vasiljevic, N., and Gerz, T.: Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup, Atmos. Meas. Tech., 11, 3801–3814, https://doi.org/10.5194/amt-11-3801-2018, 2018.