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HydroGNSS in Operational Service: Open Satellite Data Strengthen Monitoring of the Global Water Cycle

The ESA has completed commissioning of the two HydroGNSS Scout satellites. Free-to-use measurements of soil moisture, open water and snow are now available worldwide — benefiting hydroclimate research, early warning and water management.

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The European Space Agency (ESA) has completed the test and calibration phase of the HydroGNSS Scout mission. Both small satellites and the ground segment have been released for operational service; the measurement data are openly available worldwide. This brings a previously patchy component of the water cycle — the spatio-temporal distribution of soil moisture, open water surfaces and snow — into sharper focus.

Measurement principle: GNSS reflectometry

HydroGNSS receives signals from global navigation satellite systems (GPS, Galileo and others) that are reflected off the Earth's surface. Changes in the amplitude, phase and polarization of these echoes can be used to infer surface properties: differences between dry and wet soil, open water bodies and river channels, and snow cover. The technique is passive, requires no transmitter on board and provides observations that are independent of cloud cover and daylight.

Closing gaps, complementing existing data

The data complement established remote sensing from radar and optical sensors. They improve spatial continuity and help link in-situ measurements with large-scale models. Especially in heavily clouded regions, narrow valleys or remote catchments, HydroGNSS observations can close gaps in existing monitoring.

Benefits for research and operational use

For climate and hydrological science, the measurements add information about water storage and flow behaviour in soils, rivers and snowpacks. This strengthens the quality of hydrological models and improves forecasts of water availability, drought periods and flood events. Operational users also benefit: early warning systems can draw on additional indicators for river surfaces and moisture distribution; water authorities and utilities gain better planning data for reservoirs and allocation; farmers and insurers obtain new indicators for drought or crop-loss assessments. Countries with limited measurement infrastructure receive more robust decision support.

Open access fosters collaboration

Free access enables collaborative development of retrieval algorithms and applications. Research teams from industry, universities and government agencies can perform calibrations with local measurement networks and fuse HydroGNSS data with other satellite sensors. This accelerates integration into operational systems, for example in forecasting and early-warning chains.

Validation and data quality

Before release, satellites and ground stations underwent extensive testing. The accuracy and reliability of the derived products are being continuously validated in the field. Comparison studies with gauge measurements, soil moisture sensors and other satellite data quantify uncertainties and show under which conditions GNSS reflectometry is particularly informative.

Limits and challenges

Interpretation of the signals is more difficult in densely forested areas or highly heterogeneous urban landscapes. The spatial resolution of this passive technique is limited; it captures broader patterns rather than fine details. Further work is needed to reduce algorithmic errors and to harmonize product standards.

Outlook

The public release of HydroGNSS data is a step toward more diverse Earth observations of the water cycle. Future constellations of similar satellites could increase temporal coverage and spatial density. Combined with Copernicus missions, ground-based measurement networks and numerical models, a denser information network will emerge — central to climate adaptation in the face of changing runoff patterns, shrinking snow storage and more frequent extremes. With easy access and good documentation, HydroGNSS adds another building block for research, public services and private applications.

Climate Academy editorial team · Article created with AI support
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