Technical University of Denmark
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New European Wind Atlas: Mesoscale Atlas

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posted on 2021-06-14, 14:50 authored by Andrea N. HahmannAndrea N. Hahmann, Tija Sīle, Björn Witha, Neil DavisNeil Davis, Martin Dörenkämper, Yasemin Ezber, Elena García-Bustamante, J. Fidel González-Rouco, Jorge Navarro, Bjarke Tobias OlsenBjarke Tobias Olsen, Stefan Söderberg, Jordi Barcons, Mariano Sastre-Marugán, Wilke Trei, Mark Žagar, Jake BadgerJake Badger, Gottschall, Julia, Javier Sanz Rodrigo, Jakob MannJakob Mann, Nikola Vasiljevic
The mesoscale part of the New European Wind Atlas (NEWA) was created from WRF model simulations for all of Europe at a grid spacing of 3 km x 3 km, initially covering the 30 years from 1989 to 2018. The WRF model simulations (using WRF V3.8.1) were done in 10 partly overlapping domains using ERA5 reanalysis and OSTIA sea surface temperatures. We used many ensemble members to determine the most suitable configuration for the final production run. The model configuration, production and evaluation of the results against observations are described in Hahmann et al. (2020) and Dörenkämper et al. (2020).

Data are accessible through doWIND, an instance of daTap (RESTfull API for data aggregation and subsetting).

Funding

FP7-ENERGY.2013.10.1.2

EUDP 14-II, 64014-0590, Denmark

History

Topic

  • Siting;>Wind Mapping
  • Siting;>Wind Atlases
  • Siting;>Resource assessment
  • Siting;>Design conditions;>Shear

Models

  • Meteorological;>Mesoscale

Activities

  • Modeling

External conditions

  • Location;>Offshore;>Nearshore
  • Location;>Offshore;>Offshore
  • Location;>Onshore;>Coastal
  • Location;>Onshore;>Inland
  • Location;>Onshore;>Other
  • Location;>Other
  • Topography;>Forest
  • Topography;>Urban
  • Topography;>Rural
  • Topography;>Semi-urban
  • Terrain type;>Complex;>Hilly
  • Terrain type;>Complex;>Escarpment
  • Terrain type;>Complex;>Ridge
  • Terrain type;>Flat
  • Water depth category;>Shallow water
  • Water depth category;>Deep water

Data category

  • Meteorological data
  • Topographic data