Researchers Release Global Hydropower Availability Dataset

A new dataset provides monthly hydropower data for over 125,000 existing and potential sites worldwide.

Updated on Oct. 31, 2026 in Energy

Isometric editorial illustration of a concrete dam in a stylized mountain landscape, representing global hydropower research data.
Scientists have released HydroSMADE, a global dataset mapping monthly hydropower availability for over 125,000 existing and potential sites worldwide. AI Illustration. Upload story photo >

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Scientists have launched a comprehensive global dataset, HydroSMADE, which tracks monthly hydropower availability for 125,926 distinct sites. This resource aims to support research into the evolving role of hydropower within international power grids.

Why it matters

Understanding future hydropower capacity is essential for researchers as they work to integrate sustainable energy sources into power grids worldwide. This data allows for detailed simulations of how these sites might function under various climate and operational conditions.

The HydroSMADE dataset utilizes the Xanthos global hydrologic model to analyze 30 alternative future scenarios from 1950 through 2100. It provides standardized metrics that distinguish between storage and diversion hydropower sites.

The details

The dataset utilizes bias-corrected meteorological inputs to generate site-level availability for current and future infrastructure. By mapping potential sites alongside existing ones, the resource offers a granular look at global energy prospects.

Timeline

  1. The dataset provides coverage spanning the years 1950 through 2100.

The Big Picture

This release marks a shift toward standardized predictive modeling for renewable energy infrastructure. By applying the Xanthos global hydrologic model to site-specific power generation, researchers can now bridge the gap between regional water cycles and global energy output.

This dataset provides the foundational mapping required for governments and utilities to plan more resilient energy grids. In the coming years, such data could lead to more efficient infrastructure placement and improved grid stability as nations transition to renewable energy.

The takeaway

Reliable long-term data is a prerequisite for scaling renewable energy technologies to meet global demand. Planners and policymakers should use this resource to identify which potential hydropower sites are most viable under changing environmental conditions.

Further reading

Explore more climate and resource trends in our Energy section.

More information

View the complete findings in the scientific data publication link.

Source note: This article includes information reported by Nature.

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