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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17335683 |
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| _version_ | 1866901622026665984 |
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| author | ZHANG |
| author_facet | ZHANG |
| contents | This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'. The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17335683 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | LLM4Weather Dataset (Bundle Batch 11) LatBins[-20.00~-14.00] ZHANG meteorology gap-filling climate LLM4Weather temporal super-resolution bundles This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'. The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles. |
| title | LLM4Weather Dataset (Bundle Batch 11) LatBins[-20.00~-14.00] |
| topic | meteorology gap-filling climate LLM4Weather temporal super-resolution bundles |
| url | https://doi.org/10.5281/zenodo.17335683 |