Articles | Volume 12, issue 11
https://doi.org/10.5194/gmd-12-4803-2019
https://doi.org/10.5194/gmd-12-4803-2019
Model evaluation paper
 | 
21 Nov 2019
Model evaluation paper |  | 21 Nov 2019

Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)

Laura Bianco, Irina V. Djalalova, James M. Wilczak, Joseph B. Olson, Jaymes S. Kenyon, Aditya Choukulkar, Larry K. Berg, Harindra J. S. Fernando, Eric P. Grimit, Raghavendra Krishnamurthy, Julie K. Lundquist, Paytsar Muradyan, Mikhail Pekour, Yelena Pichugina, Mark T. Stoelinga, and David D. Turner

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Cited articles

Benjamin, S. G., Weygandt, S. S., Brown, J. M., Hu, M., Alexander, C. R., Smirnova, T. G., Olson, J. B., James, E. P., Dowell, D. C., Grell, G. A.,Lin, H., Peckham, S. E., Smith, T. L., Moninger, W. R., Kenyon, J. S., and Manikin, G. S.: A North American hourly assimilation and model forecast cycle: the Rapid Refresh, Mon. Weather Rev., 144, 1669–1694, https://doi.org/10.1175/MWR-D-15-0242.1, 2016. 
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Djalalova, I. V., Bianco, L., Akish, E., Wilczak, J. M., Olson, J. B., Kenyon, J. S., Berg, L. K., Choukulkar, A., Coulter, R., Eckman, R., Fernando, H. J. S., Grimit, E., Krishnamurthy, R., Lundquist, J. K., Muradyan, P., Pekour, M., and Stoelinga, M.: Ramp events validation during the second Wind Forecast Improvement Project (WFIP2) using the Ramp Tool and Metric (RT&M), Weather Forecasting, in preparation, 2019. 
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Durran, D. R.: Lee Waves and Mountain Waves, Encyclopedia of Atmospheric Sciences, edited by: Holton, J. R., Pyle, J., and Curry, J. A., Elsevier: Amsterdam, The Netherlands; 1161–1169, https://doi.org/10.1016/B0-12-227090-8/00202-5, 2003. 
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Short summary
During the second Wind Forecast Improvement Project, improvements to the parameterizations were applied to the High Resolution Rapid Refresh model and its nested version. The impacts of the new parameterizations on the forecast of 80 m wind speeds and power are assessed, using sodars and profiling lidars observations for comparison. Improvements are evaluated as a function of the model’s initialization time, forecast horizon, time of the day, season, site elevation, and meteorological phenomena.
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