Andrea N. Hahmann

Technical University of Denmark

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Jake Badger

Technical University of Denmark

Alfredo Peña

Technical University of Denmark

Charlotte Bay Hasager

Technical University of Denmark

Xiaoli Guo Larsén

Technical University of Denmark

Merete Badger

Technical University of Denmark

Patrick Volker

Technical University of Denmark

Ioanna Karagali

Danish Meteorological Institute

Jens Carsten Hansen

University of Copenhagen

Neil Davis

Technical University of Denmark

Rogier Floors

Technical University of Denmark

Cooperative Institutions

Technical University of Denmark

115

NSF National Center for Atmospheric Research

Centre for Sustainable Energy

National Institute of Meteorology

Danish Energy Association

Nordic Laboratory for Luminescence Dating

Roskilde University

University of Arizona

National Oceanic and Atmospheric Administration

University of Copenhagen

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Forecasting Turbine Icing Events

Neil Davis Andrea N. Hahmann Niels‐Erik Clausen Mark Žagar

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Applications of Self Organizing Maps in Wind Energy Meteorology

Andrea N. Hahmann Claire Vincent Mark Kelly

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Files With Rune Experiment Measurements And Wrf Modelling Results

Zenodo (CERN European Organization for Nuclear Research) (2017)

Rogier Floors Andrea N. Hahmann Alfredo Peña

This file contains all data used for the figures in the paper, including horizontal transects, vertical profiles and WRF model output for the different locations.

10.5281/zenodo.834635

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Near-shore wind resource estimation using lidar measurements and modelling

Rogier Floors Andrea N. Hahmann Alfredo Peña

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Wind Climate Estimating using WRF model Output: Model Sensitivities

Andrea N. Hahmann Claire Vincent Alfredo Peña Ebba Dellwik Julia Lange

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Offshore wind resource estimation for wind energy

Charlotte Bay Hasager Merete Badger Alexis Mouche Ioanna Karagali Poul Astrup

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The Impact of Climate Change on Extreme Winds over Northern Europe According to CMIP6: data and codes

Zenodo (CERN European Organization for Nuclear Research) (2023)

Xiaoli Guo Larsén Marc Imberger Ásta Hannesdóttir Andrea N. Hahmann

Data and codes for the paper submitted to WES "The Impact of Climate Change on Extreme Winds over Northern Europe According to CMIP6" Data: 1. U50*.nc: 50-year wind with spectral correction method from 18 CMIP6 models 2. annual_max*.nc: annual wind maxima from 18 CMIP6 models 3. spe*.dat: example of power spectrum from the original wind speed time series from a CMIP6 model and power spectrum with spectral correction Codes: 1. AnnualMax*.py : calculate extreme winds from 18 CMIP6 models 2. XFuture-code-sharing.nb: Mathematca code for analysis of data on the effect of climate change, and pack data for plotting using MATLAB 3. *.m: MATLAB codes for plotting figures on climate change

10.5281/zenodo.8011572

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The Impact of Climate Change on Extreme Winds over Northern Europe According to CMIP6: data and codes

Zenodo (CERN European Organization for Nuclear Research) (2023)

Xiaoli Guo Larsén Marc Imberger Ásta Hannesdóttir Andrea N. Hahmann

10.5281/zenodo.8011573

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Atmospheric flow simulation over stationary waves with various steepness using WRF-LES

Journal of Physics Conference Series (2024)

Sima Hamzeloo Alfredo Peña Xiaoli Guo Larsén Andrea N. Hahmann

Abstract We investigated the capability of the Weather Research and Forecasting (WRF) model to perform large-eddy simulations (LESs) of the structure of the marine atmospheric boundary layer and turbulence exchange between the sea surface and the atmosphere. The WRF-LES model results were compared to results from Sullivan (2008) [1] for two cases: flow over a flat surface and over an idealized stationary sinusoidal surface. We also investigated the sensitivity of the WRF-LES model in simulating turbulence through the marine atmosphere under a range of horizontal grid spacings and wave steepnesses. All simulations were performed in a conventionally neutral atmosphere with a geostrophic wind of 5 m s −1 , aligned with the direction of wave propagation. The simulated wind vertical profiles from the WRF-LES model exhibit similar behavior to those of Sullivan (2008) over both wavy and flat surfaces, but the differences in Sullivan’s vertical wind profiles for the two cases are considerably larger in comparison to those derived from WRF-LES. Furthermore, spectral analysis clearly shows the effect of horizontal grid spacing. The impact of wave steepness on turbulence distribution is clearly noticeable in the vertical profiles of resolved velocity variances and covariances. The impact is largest close to the surface, but it is important throughout the bulk of the boundary layer.

Mean flow

10.1088/1742-6596/2767/6/062015

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Wind Energy Resources of the South Baltic Sea

Linköping electronic conference proceedings (2011)

Charlotte Bay Hasager Jake Badger Ferhat Bingöl Niels‐Erik Clausen Andrea N. Hahmann

The primary case study within the paper is Hereford; United Kingdom – an ancient Norman city within rural Herefordshire. Significant research has previously been conducted as to the transport problems within the city and such research is summarised and built on in the current paper by proposing potential solutions to the problems.

Baltic sea

Energy resources

Primary energy

10.3384/ecp110574050

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