ArticleScientific data2024
PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- SC-PREC4SA: A serially complete daily precipitation dataset for South America.Scientific data · 2025Article
- Poleward shift of subtropical highs drives Patagonian glacier mass loss.Nature communications · 2025Article
- Hydrographic shifts in coastal waters reflect climate-driven changes in hydrological regimes across Northwestern Patagonia.Scientific reports · 2024Article
- PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia.Scientific data · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Western Patagonia (40-56°S) is a clear example of how the systematic lack of publicly available data and poor quality control protocols have hindered further hydrometeorological studies. To address these limitations, we present PatagoniaMet (PMET), a compilation of ground-based hydrometeorological data (PMET-obs; 1950-2020), and a daily gridded product of precipitation and temperature (PMET-sim; 1980-2020). PMET-obs was developed considering a 4-step quality control process applied to 523 hydrometeorological time series obtained from eight institutions in Chile and Argentina. Following current guidelines for hydrological datasets, several climatic and geographic attributes were derived for each catchment. PMET-sim was developed using statistical bias correction procedures, spatial regression models and hydrological methods, and was compared against other bias-corrected alternatives using hydrological modelling. PMET-sim was able to achieve Kling-Gupta efficiencies greater than 0.7 in 72% of the catchments, while other alternatives exceeded this threshold in only 50% of the catchments. PatagoniaMet represents an important milestone in the availability of hydro-meteorological data that will facilitate new studies in one of the largest freshwater ecosystems in the world.
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Registered trials
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