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| Published in: | The Cryosphere (TC) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030192858562563 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | The Cryosphere (TC) |
| description | |
| discipline_display | Environmental Sciences |
| discipline_facet | Environmental Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:24910 |
| institution | FRELIP |
| journal_source_facet | The Cryosphere (TC) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning — — — — — — Meteorology Climate & Atmospheric Sciences Environmental Sciences |
| sub_discipline_display | Climate & Atmospheric Sciences |
| sub_discipline_facet | Climate & Atmospheric Sciences |
| subject_display | — — — — — — Meteorology Climate & Atmospheric Sciences Environmental Sciences — — — — — — Meteorology Climate & Atmospheric Sciences Environmental Sciences |
| subject_facet | — — — — — — Meteorology Climate & Atmospheric Sciences Environmental Sciences |
| title | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_auth | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_full | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_fullStr | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_full_unstemmed | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_short | Identification and correction of snow depth bias in ERA5 datasets over Central Europe using machine learning |
| title_sort | identification and correction of snow depth bias in era5 datasets over central europe using machine learning |
| topic | — — — — — — Meteorology Climate & Atmospheric Sciences Environmental Sciences |
| url | https://doi.org/10.5194/tc-20-2295-2026 |