Results 281 to 290 of about 62,268 (343)

Snow Water Storage Within Eight Pacific Coastal Watersheds in British Columbia (Canada) Inferred From Four Years of Airborne Lidar Data

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Maritime mountain snowpacks are among the least understood and most poorly quantified components of global snow water storage, despite their vital role in sustaining water supplies and ecosystem health. Here, we present a 4‐year record of snow mass distribution across eight small‐to‐medium‐sized (5.2–63.4 km2) watersheds within the coastal ...
R. Bisset   +12 more
wiley   +1 more source

Sea level rise and coastal flooding risks in the Gulf of Guinea. [PDF]

open access: yesSci Rep
Ghomsi FEK   +5 more
europepmc   +1 more source

A Method to Implement Natural Flow Regimes for Regulated Rivers

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Rivers throughout the world have been dammed for flood control, irrigation, hydropower, and water storage for centuries. Dams service the economic and development needs of societies, but degrade the ecology of rivers. To conserve diminishing aquatic species and their habitats, methods are needed to help managers implement flow releases with ...
Nicholas A. Som, Seth W. Naman
wiley   +1 more source

Using Environmental Tracers to Reduce Uncertainty in Natural Flood Management Modeling

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Natural flood management (NFM) is a nature‐based solution that has grown in importance within flood risk policy and management over the last two decades. There is limited evidence on nature‐based solutions' effectiveness, and no accepted best practice on forecasting their performance. To explore NFM effectiveness, we built a hydrological model
Sarah L. Collins   +5 more
wiley   +1 more source

Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu   +5 more
wiley   +1 more source

Deep learning-based extraction of Kenya's historical road network from topographic maps. [PDF]

open access: yesSci Data
Kramm T   +7 more
europepmc   +1 more source

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