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Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan
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| Published in: | Progress in Earth and Planetary Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1870206740622999552 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Progress in Earth and Planetary Science |
| description | |
| discipline_display | Geography |
| discipline_facet | Geography |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:101140 |
| institution | FRELIP |
| journal_source_facet | Progress in Earth and Planetary Science |
| last_indexed | 2026-07-09T03:35:33.692Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan Geography General Geography |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Geography General Geography |
| subject_facet | Geography General Geography |
| title | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_alt | Emparejamiento de tifones a escala de cuenca mediante un conjunto de datos de gran ensemble y aprendizaje profundo bajo diferentes escenarios climáticos: un estudio de caso de la cuenca del río Chikugo, suroeste de Japón Appariement de clusters de typhons à l'échelle du bassin utilisant un ensemble de données à grande échelle et l'apprentissage profond sous différents scénarios climatiques : une étude de cas du bassin de la rivière Chikugo, sud-ouest du Japon Correspondência de tufões em escala de bacia usando um conjunto de dados de grande ensemble e aprendizado profundo sob diferentes cenários climáticos: um estudo de caso da Bacia do Rio Chikugo, sudoeste do Japão |
| title_auth | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_es_txt | Emparejamiento de tifones a escala de cuenca mediante un conjunto de datos de gran ensemble y aprendizaje profundo bajo diferentes escenarios climáticos: un estudio de caso de la cuenca del río Chikugo, suroeste de Japón |
| title_fr_txt | Appariement de clusters de typhons à l'échelle du bassin utilisant un ensemble de données à grande échelle et l'apprentissage profond sous différents scénarios climatiques : une étude de cas du bassin de la rivière Chikugo, sud-ouest du Japon |
| title_full | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_fullStr | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_full_unstemmed | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_pt_txt | Correspondência de tufões em escala de bacia usando um conjunto de dados de grande ensemble e aprendizado profundo sob diferentes cenários climáticos: um estudo de caso da Bacia do Rio Chikugo, sudoeste do Japão |
| title_short | Basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the Chikugo River Basin, southwestern Japan |
| title_sort | basin-scale typhoon cluster-matching using a large-ensemble dataset and deep learning under different climate scenarios: a case study of the chikugo river basin, southwestern japan |
| topic | Geography General Geography |
| url | https://link.springer.com/article/10.1186/s40645-026-00825-8 |