Machine learning gap-filling of hydrometeorological time series in south-central Chile: Streamflow, temperature and precipitation
Abstract
Study RegionspaceThis study was conducted in south-central Chile, between 34 degrees S and 41 degrees S, encompassing a hydroclimatically diverse region extending from the Pacific coast to the Andes Mountains.Study FocusspaceWe evaluated the non-parametric MissForest algorithm for gap-filling daily hydrometeorological time series from 1980 to 2022 across 57 streamflow, 19 temperature, and 97 precipitation stations with
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| Título según WOS: | ID WOS:001806794700001 Not found in local WOS DB |
| Título de la Revista: | JOURNAL OF HYDROLOGY-REGIONAL STUDIES |
| Volumen: | 66 |
| Editorial: | Elsevier |
| Fecha de publicación: | 2026 |
| DOI: |
10.1016/j.ejrh.2026.103659 |
| Notas: | ISI |