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| Published in: | The Cryosphere (TC) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301678432124929 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | The Cryosphere (TC) |
| description | |
| discipline_display | Meteorology |
| discipline_facet | Meteorology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:62434 |
| institution | FRELIP |
| journal_source_facet | The Cryosphere (TC) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations Meteorology General Meteorology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Meteorology General Meteorology Meteorology General Meteorology |
| subject_facet | Meteorology General Meteorology |
| title | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_auth | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_full | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_fullStr | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_full_unstemmed | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_short | Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations |
| title_sort | machine learning for snow depth estimation over the european alps, using sentinel-1 observations, meteorological forcing data and process-based model simulations |
| topic | Meteorology General Meteorology |
| url | https://doi.org/10.5194/tc-20-3187-2026 |