Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review

G Gualtieri - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
This review critically updates the state of the art on the uncertainties associated with
reanalysis data directly used for wind resource assessment. Performances were analysed …

Overcoming the disconnect between energy system and climate modeling

MT Craig, J Wohland, LP Stoop, A Kies, B Pickering… - Joule, 2022 - cell.com
Energy system models underpin decisions by energy system planners and operators.
Energy system modeling faces a transformation: accounting for changing meteorological …

[PDF][PDF] Comparison of ERA5 surface wind speed climatologies over Europe with observations from the HadISD dataset

MO Molina, C Gutiérrez, E Sánchez - Int. J. Climatol, 2021 - researchgate.net
Understanding space–time features of wind speed is of high interest in meteorology and
several applied sciences. Accurate wind speed measurements in combination with reliable …

[HTML][HTML] Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification

J Drücke, M Borsche, P James, F Kaspar, U Pfeifroth… - Renewable Energy, 2021 - Elsevier
Solar and wind energy play an important role in current and future energy supply in
Germany and Europe. The production of renewable energy highly depends on weather …

Value of the Copernicus Arctic Regional Reanalysis (CARRA) in representing near-surface temperature and wind speed in the north-east European Arctic

M Køltzow, H Schyberg, E Støylen, X Yang - Polar Research, 2022 - polarresearch.net
The representation of 2-m air temperature and 10-m wind speed in the high-resolution (with
a 2.5-km grid spacing) Copernicus Arctic Regional Reanalysis (CARRA) and the coarser …

Contributions to the improvement of climate data availability and quality for sub-Saharan Africa

F Kaspar, A Andersson, M Ziese, R Hollmann - Frontiers in Climate, 2022 - frontiersin.org
Reliable weather observations are the basis to assess climate change and variability.
Compared to other regions of the world, long time series of weather observations are sparse …

[HTML][HTML] Ensemble machine learning greatly improves ERA5 skills for wind energy applications

M Cavaiola, PE Tuju, F Ferrari, G Casciaro, A Mazzino - Energy and AI, 2023 - Elsevier
The skill of ERA5 has been assessed in relation to the prediction of the wind energy
associated with 28 SYNOP stations located in Italy for a time span of 20 years (2001–2020) …

Evaluation of wind speed estimates in reanalyses for wind energy applications

S Brune, JD Keller, S Wahl - Advances in Science and Research, 2021 - asr.copernicus.org
A correct spatio-temporal representation of retrospective wind speed estimates is of large
interest for the wind energy sector. In this respect, reanalyses provide an invaluable source …

Natural hazards and extreme events in the Baltic Sea region

A Rutgersson, E Kjellström, J Haapala… - Earth System …, 2022 - esd.copernicus.org
A natural hazard is a naturally occurring extreme event that has a negative effect on people
and society or the environment. Natural hazards may have severe implications for human …

JRA55 is the best reanalysis representing observed near-surface wind speeds over India

A Das, SB Roy - Atmospheric Research, 2024 - Elsevier
Reanalyses are often regarded as the most reliable datasets that give a comprehensive
picture of meteorological parameters all over the globe. They are the first choice of dataset …