Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany

Saved in:
Bibliographic Details
Published in:Advances in Science and Research (ASR)
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030193320984581
collection WordPress RSS
FRELIP Feed Integration
container_title Advances in Science and Research (ASR)
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:47165
institution FRELIP
journal_source_facet Advances in Science and Research (ASR)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_auth Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_full Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_fullStr Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_full_unstemmed Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_short Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany
title_sort assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in germany
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://doi.org/10.5194/asr-22-131-2026