Preprints
https://doi.org/10.5194/gmd-2023-63
https://doi.org/10.5194/gmd-2023-63
Submitted as: model evaluation paper
 | 
15 Jun 2023
Submitted as: model evaluation paper |  | 15 Jun 2023
Status: this preprint is currently under review for the journal GMD.

Modelling wind farm effects in HARMONIE-AROME (cycle 43.2.2) – part 1: Implementation and evaluation

Jana Fischereit, Henrik Vedel, Xiaoli Guo Larsén, Natalie E. Theeuwes, Gregor Giebel, and Eigil Kaas

Abstract. With increasing number and proximity of wind farms it becomes crucial to consider wind farm effects (WFE) in the numerical weather prediction (NWP) models used to forecast power production. Furthermore, these WFE are also expected to affect other weather-related parameters at least locally. Thus, we implement the explicit wake parameterization (EWP) in the NWP model HARMONIE-AROME (hereafter HARMONIE) along-side the existing wind farm parameterization (WFP) by Fitch et al. (2012) (FITCH). We evaluate and compare the two WFPs against research flight measurements as well as against similar simulations performed with the Weather Research and Forecasting model (WRF) using case studies. The case studies include a case for WFE above a wind farm as well as two cases for WFE at hub height in the wake of farms. The results show that EWP and FITCH have been correctly implemented in HARMONIE. For the simulated cases, EWP underestimates the WFE on wind speed and strongly underestimates the effect on turbulent kinetic energy (TKE). FITCH agrees better with the observations and WFE on TKE are particularly well captured by HARMONIE-FITCH. After this successful evaluation, simulations with all wind turbines in Europe will be performed with HARMONIE and presented in the second part of this paper series.

Jana Fischereit et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-63', Anonymous Referee #1, 08 Aug 2023
  • RC2: 'Comment on gmd-2023-63', Anonymous Referee #2, 16 Aug 2023

Jana Fischereit et al.

Jana Fischereit et al.

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Short summary
Wind farms affect wind resources and turbulence in their surroundings. To consider these effects in weather forecasting, we include a wind farm parameterization (WFP) in the forecasting model HARMONIE-AROME. We evaluate the WFP against flight measurements above and downstream of wind farms as well as against simulations with the Weather Research and Forecasting model (WRF). The results suggest that the implementation was successful and that wind farm effects need to be considered for forecasting.