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| Published in: | Earth System Science Data (ESSD) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301678439464961 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| 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:72387 |
| institution | FRELIP |
| journal_source_facet | Earth System Science Data (ESSD) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning 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 | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_auth | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_full | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_fullStr | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_full_unstemmed | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_short | Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning |
| title_sort | reconstruction of global 0.25° land lightning density from 1979 to 2025 based on an ensemble machine learning |
| topic | Environmental Studies General Environmental Studies |
| url | https://doi.org/10.5194/essd-2026-318 |