10.5281/zenodo.3460291
https://zenodo.org/records/3460291
oai:zenodo.org:3460291
Gruber, Katharina
Katharina
Gruber
0000-0002-5049-5721
University of Natural Resources and Life Sciences, Vienna
Kloeckl, Claude
Claude
Kloeckl
University of Natural Resources and Life Sciences, Vienna
Regner, Peter
Peter
Regner
University of Natural Resources and Life Sciences, Vienna
Baumgartner, Johann
Johann
Baumgartner
University of Natural Resources and Life Sciences, Vienna
Schmidt, Johannes
Johannes
Schmidt
0000-0003-3533-349X
University of Natural Resources and Life Sciences, Vienna
Bias-corrected simluated wind power generation time series for Brazil
Zenodo
2019
wind power simulation
Brazil
bias correction
Global Wind Atlas
2019-09-25
arxiv.org/abs/1904.13083
10.5281/zenodo.3460290
https://zenodo.org/communities/boku
Creative Commons Attribution 4.0 International
Simulated and bias corrected wind power generation time series data sets for Brazil, its North-East and South, seven states and seven wind parks.
The data sources, generation and validation of the datasets are described in the article "Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil", preprint available on arXiv: arxiv.org/abs/1904.13083, final version DOI: 10.1016/j.energy.2019.116212
Code for generating the datasets is available at github.com/KatharinaGruber/BrazilWindpower_biascorr
The files "comp_*" contain comparisons of simulated and observed wind power generation time series with daily resolution for all regions.
"comp_noc.RData" is for comparison of interpolation methods and contains time series generated with Nearest Neighbour interpolation (NN), Bilinear Interpolation (BLI) and Inverse Distance Weighting (IDW).
"comp_wmsa.RData" is for comparison of wind speed mean approximation methods and contains time series generated with Nearest Neighbour interpolation (NN - no correction applied), mean approximation with measured data (IN) and mean approximation with the Global Wind Atlas (GWA).
"comp_wsc.RData" is for comparison of spatiotemporal wind speed correction methods and contains time series generated with mean approximation with the Global Wind Atlas (wmsa) and combined mean approximation with the Global Wind Atlas and hourly and monthly mean approximation with measured data (wschm).
The files "statpowlist_*" contain hourly simulated wind power generation time series for three interpolation methods (NN, BLI, IDW), two mean approximation methods (wsmaIN - measured data (INMET), wsmaWA - Global Wind Atlas) as well as for spatiotemporal (hourly and monthly) wind speed bias correction (wschm) for each wind park available in The Wind Power dataset.
European Commission
10.13039/501100000780
758149
Going global? Renewable fuel trade and social land-use restrictions in a low-carbon energy system