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A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China

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Published in:Earth System Science Data (ESSD)
Format: Online Article RSS Article
Published: 2026
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container_title Earth System Science Data (ESSD)
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:72381
institution FRELIP
journal_source_facet Earth System Science Data (ESSD)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_auth A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_full A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_fullStr A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_full_unstemmed A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_short A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
title_sort a 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in china
topic Environmental Studies
General
Environmental Studies
url https://doi.org/10.5194/essd-18-3711-2026