Monthly binned wind climate (bwc) of three WRF-Fitch wind farm scenarios in the North and Baltic seas

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This dataset contains monthly binned wind climate (bwc) distributions at 150m a.s.l., derived from mesoscale atmospheric simulations using the Weather Research and Forecasting (WRF) model configured with the Fitch wind farm parameterization. The simulations cover the whole year 2019 and offshore areas across the North and Baltic Seas, evaluating the impact of large-scale offshore wind deployment under three distinct wind farm build-out scenarios.The dataset provides structured joint distributions of wind speed and direction, enabling the assessment of spatial and seasonal wind resource variability, mesoscale wake effects, and regional dynamics across northern European seas. For more information, read the README.txt file. The pywix code, together with this dataset, serve to re produce the figures from the Wakess Index (WIX) article.Licenses:1. README.txt, MANIFEST.txt, MANIFEST.sha256This file and the checksum manifest.Licence: CC BY 4.0 2. layout_northsea_scenarios.csv (approx 1.2 MB)layout_balticsea_scenarios.csv (approx 0.1 MB)Turbine positions and specifications, all three build-out scenariosper basin in one cumulative table (see section 5.1).Licence: CC BY 4.0 3. windrose_{region}_{source}_{scenario}_2019.nc (0.08 - 1.6 MB each)Twelve files: 2 regions x 2 wind-direction sources x 3 scenarios.Per-turbine 12-sector wind-direction frequencies.Licence: CC BY 4.0 (the newa_based files derive from NEWA - see section 2) 4. wrf_wake_northsea_2019.nc (approx 0.8 MB)wrf_wake_balticsea_2019.nc (approx 0.3 MB)WRF annual-mean wind-speed ratio (with wind farms / without wind farms)for three build-out scenarios per basin.Licence: CC BY 4.0 5. bwc/bwc_150_d02_2019_{MM}_fitch_{scenario}.nc (36 files, approx 9.4 GB)The GRIDDED binned wind climates the per-turbine wind roses in (3) aresampled from - one per month per scenario. Included so the wind roses canbe rebuilt for any layout in the WRF domain, not only the ones publishedhere.Licence: CC BY 4.0 6. pywix source codeReference implementation. Published as a separate DTU Data item and linkedfrom this one.Licence: MIT, Copyright (c) 2026 Technical University of Denmark whereregion = northsea | balticseasource = wrf_based | newa_basedscenario = CURRENT | Y2030 | Y2050

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.