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Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh

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Published in:PLOS Climate
Format: Online Article RSS Article
Published: 2026
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container_title PLOS Climate
description
discipline_display Climate Change
discipline_facet Climate Change
format Online Article
RSS Article
genre Journal Article
id rss_article:79540
institution FRELIP
journal_source_facet PLOS Climate
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
Climate Change
General
Climate Change
sub_discipline_display General
sub_discipline_facet General
subject_display Climate Change
General
Climate Change
Climate Change
General
Climate Change
subject_facet Climate Change
General
Climate Change
title Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_auth Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_full Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_fullStr Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_full_unstemmed Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_short Assessment of the GraphCast AI model for precipitation forecasting and its potential in extreme event prediction over Bangladesh
title_sort assessment of the graphcast ai model for precipitation forecasting and its potential in extreme event prediction over bangladesh
topic Climate Change
General
Climate Change
url https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000791