Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5079-2020
https://doi.org/10.5194/gmd-13-5079-2020
Model experiment description paper
 | Highlight paper
 | 
27 Oct 2020
Model experiment description paper | Highlight paper |  | 27 Oct 2020

The Making of the New European Wind Atlas – Part 2: Production and evaluation

Martin Dörenkämper, Bjarke T. Olsen, Björn Witha, Andrea N. Hahmann, Neil N. Davis, Jordi Barcons, Yasemin Ezber, Elena García-Bustamante, J. Fidel González-Rouco, Jorge Navarro, Mariano Sastre-Marugán, Tija Sīle, Wilke Trei, Mark Žagar, Jake Badger, Julia Gottschall, Javier Sanz Rodrigo, and Jakob Mann

Related authors

Brief communication: A simple axial induction modification to WRF’s Fitch wind farm parameterisation
Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2023-89,https://doi.org/10.5194/wes-2023-89, 2023
Revised manuscript under review for WES
Short summary
Impact of wind profiles on ground-generation airborne wind energy system performance
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 8, 1153–1178, https://doi.org/10.5194/wes-8-1153-2023,https://doi.org/10.5194/wes-8-1153-2023, 2023
Short summary
An investigation of spatial wind direction variability and its consideration in engineering models
Anna von Brandis, Gabriele Centurelli, Jonas Schmidt, Lukas Vollmer, Bughsin' Djath, and Martin Dörenkämper
Wind Energ. Sci., 8, 589–606, https://doi.org/10.5194/wes-8-589-2023,https://doi.org/10.5194/wes-8-589-2023, 2023
Short summary
Scaling effects of fixed-wing ground-generation airborne wind energy systems
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 7, 1847–1868, https://doi.org/10.5194/wes-7-1847-2022,https://doi.org/10.5194/wes-7-1847-2022, 2022
Short summary
Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling
Beatriz Cañadillas, Maximilian Beckenbauer, Juan J. Trujillo, Martin Dörenkämper, Richard Foreman, Thomas Neumann, and Astrid Lampert
Wind Energ. Sci., 7, 1241–1262, https://doi.org/10.5194/wes-7-1241-2022,https://doi.org/10.5194/wes-7-1241-2022, 2022
Short summary

Related subject area

Atmospheric sciences
Development of a multiphase chemical mechanism to improve secondary organic aerosol formation in CAABA/MECCA (version 4.7.0)
Felix Wieser, Rolf Sander, Changmin Cho, Hendrik Fuchs, Thorsten Hohaus, Anna Novelli, Ralf Tillmann, and Domenico Taraborrelli
Geosci. Model Dev., 17, 4311–4330, https://doi.org/10.5194/gmd-17-4311-2024,https://doi.org/10.5194/gmd-17-4311-2024, 2024
Short summary
Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms
Zehua Bai, Qizhong Wu, Kai Cao, Yiming Sun, and Huaqiong Cheng
Geosci. Model Dev., 17, 4383–4399, https://doi.org/10.5194/gmd-17-4383-2024,https://doi.org/10.5194/gmd-17-4383-2024, 2024
Short summary
Investigating ground-level ozone pollution in semi-arid and arid regions of Arizona using WRF-Chem v4.4 modeling
Yafang Guo, Chayan Roychoudhury, Mohammad Amin Mirrezaei, Rajesh Kumar, Armin Sorooshian, and Avelino F. Arellano
Geosci. Model Dev., 17, 4331–4353, https://doi.org/10.5194/gmd-17-4331-2024,https://doi.org/10.5194/gmd-17-4331-2024, 2024
Short summary
An objective identification technique for potential vorticity structures associated with African easterly waves
Christoph Fischer, Andreas H. Fink, Elmar Schömer, Marc Rautenhaus, and Michael Riemer
Geosci. Model Dev., 17, 4213–4228, https://doi.org/10.5194/gmd-17-4213-2024,https://doi.org/10.5194/gmd-17-4213-2024, 2024
Short summary
Importance of microphysical settings for climate forcing by stratospheric SO2 injections as modeled by SOCOL-AERv2
Sandro Vattioni, Andrea Stenke, Beiping Luo, Gabriel Chiodo, Timofei Sukhodolov, Elia Wunderlin, and Thomas Peter
Geosci. Model Dev., 17, 4181–4197, https://doi.org/10.5194/gmd-17-4181-2024,https://doi.org/10.5194/gmd-17-4181-2024, 2024
Short summary

Cited articles

Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E.: A land use and land cover classification system for use with remote sensor data, Tech. rep., United States Geological Service, available at: https://pubs.usgs.gov/pp/0964/report.pdf (last access: 20 October 2020), 1976. a
Badger, J., Frank, H., Hahmann, A. N., and Giebel, G.: Wind-climate estimation based on mesoscale and microscale modeling: Statistical-dynamical downscaling for wind energy applications, J. Appl. Meteorol. Clim., 53, 1901–1919, https://doi.org/10.1175/JAMC-D-13-0147.1, 2014. a, b
Badger, J., Sempreviva, A., Söderberg, S., Costa, P., Simoes, T., Estanqueiro, A., Gottschall, J., Dörenkämper, M., Callies, D., Navarro Montesinos, J., González Rouco, J., Garcia Bustamante, E., and Bauwens, I.: Report on Link to Global Wind Atlas and National Wind Atlases – Deliverable D4.7, Technical Report, 37 pages 4.7, Technical University of Denmark, https://doi.org/10.5281/zenodo.3243193, 2018. a
Barcons, J., Avila, M., and Folch, A.: Diurnal cycle RANS simulations applied to wind resource assessment, Wind Energy, 22, 269–282, https://doi.org/10.1002/we.2283, 2019. a
Copernicus Land Monitoring Service: CORINE Land Cover, available at: https://land.copernicus.eu/pan-european/corine-land-cover, last access: 22 October 2019. a, b
Short summary
This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). The paper includes a detailed description of the technical and practical aspects that went into running the mesoscale simulations and the microscale downscaling for generating the climatology. A comprehensive evaluation of each component of the NEWA model chain is presented using observations from a large set of tall masts located all over Europe.