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Discover BWI’s new pricing: flexible plans, 1–5 year license options with significant savings, setup fee, and more.

Virtual stations are redefining how hydrometric networks are designed, operated, and extended across river basins. By fusing satellite altimetry, remote sensing, semi-distributed models, and machine learning, virtual stations provide continuous water level and discharge information at locations where no physical gauges exist. This hybrid cyber-physical approach strengthens monitoring resilience, improves model calibration, and reduces uncertainty in flood and low-flow forecasting, especially in data-scarce and hard-to-access regions.

Fish farming faces critical hydrological challenges including fluctuating water quality, unpredictable water supply, and flood risks—threats that impact fish health and production yields. AI-driven river flow forecasts offer game-changing solutions by empowering farmers with timely insights to manage water resources, mitigate flood damage, and optimize aquaculture operations, paving the way for a more resilient and productive fish farming industry.

Continental hydrology plays a crucial role in coastal and marine economies by delivering freshwater, nutrients, and sediments from rivers and inland sources to coastal waters. This input sustains marine ecosystems, supports fisheries and aquaculture industries, enhances tourism, and helps protect coastlines from erosion and flooding, reinforcing the socio-economic vitality of coastal regions.

Understanding the branching hierarchy and flow dynamics of rivers is essential for effective water resource management. This post unpacks the Strahler and Shreve stream orders, compares their uses, and highlights how these systems inform hydrological modeling and practical applications for agencies, hydropower, insurers, and irrigation stakeholders worldwide.

In the latest episode of the podcast series The Climate Pioneers Show, our CEO Jérémy Fain sat down with host Cherry Swayne to share how BWI is contributing to climate resilience through water intelligence.

On 18 September, our Toulouse office at B612 – Innovation Center welcomed a special team-building session – a moment to pause, reconnect, and grow together beyond our daily projects.

Flood early warning systems have a long and impactful history, evolving from simple local measures to sophisticated global networks. Famous success stories in Bangladesh, Uganda, and the Hindu Kush Himalayas show how community action and technology work together to protect lives. The central lesson: empowering people with timely alerts turns disaster response from devastation to resilience, with practical benefits for vulnerable populations worldwide.

South Asia faces a hydrological crisis of unprecedented scale—one that is reshaping lives, economies, and geopolitics throughout the region. In 2025, catastrophic floods uprooted millions in Pakistan and India, while drought and water shortages deepened hardship in Bangladesh and Sri Lanka. These mounting challenges are fueled by Himalayan glacier melt, unpredictable monsoons, and outdated water-sharing agreements. As surface water dwindles, groundwater is being over-extracted—yet urban and rural communities alike continue to struggle in the search for safe, reliable supplies. Blue Water Intelligence explores how South Asian nations are adapting to the new water reality, and why collaborative solutions have never been more critical for the region’s future.

Discover how the Normalized Nash-Sutcliffe Efficiency (NNSE) is chosen by the scientific community to evaluate hydrological models. NNSE offers a clear, bounded, and more interpretable metric than traditional NSE, enabling accurate benchmarking of water models to support reliable water intelligence and decision-making.