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HidroCL Database: A Comprehensive Hydrometeorological Database for Streamflow Forecasting in Continental Chile
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| Type: | Resource | |
| Storage: | The size of this resource is 2.0 GB | |
| Created: | Jul 17, 2025 at 7:55 p.m. (UTC) | |
| Last updated: | Jul 18, 2025 at 9:12 p.m. (UTC) | |
| Published date: | Jul 18, 2025 at 9:12 p.m. (UTC) | |
| DOI: | 10.4211/hs.e9ab3f316a4d400da5af994e0dc062a7 | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
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| Views: | 56 |
| Downloads: | 0 |
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Abstract
Accurate short-term streamflow forecasting is crucial for effective water resource management and mitigating hydrological extremes, such as floods and droughts. HidroCL DB is a comprehensive lumped hydrometeorological database designed to support short-term streamflow forecasting across 432 catchments in Continental Chile, with daily records spanning 2000 to 2025. The database integrates diverse data sources, including GIS layers, climatic reanalysis, satellite observations, and numerical weather predictions. Data are organized by catchment and grouped into static variables (e.g., catchment characteristics, water rights, soil properties), observed variables (e.g., satellite-derived indicators, meteorological data, reservoir surface area), forecasted variables (e.g., numerical weather prediction outputs), and streamflow measurements from gauge stations. HidroCL DB provides a valuable resource for researchers and practitioners to develop, validate, and benchmark hydrological models for operational streamflow forecasting in Chile.
Subject Keywords
Coverage
Spatial
Temporal
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Agencia Nacional de Investigación y Desarrollo | FONDEF IDEA I+D 2021 | ID21I10093 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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