Channel steepness is a popular metric in most studies of tectonic geomorphology, but the simple and convenient method of defining channels in the first place may have overlooked a serious pitfall.
rivers
Streamflow From Generative AI
The trifecta of predicting, assimilating, and downscaling streamflow has arrived with generative diffusion AI models.
A Hybrid Approach for Revealing Headwater Hydrology
Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.
The Hidden Costs of Mining River Sand
River sand and gravel fuel global construction, but their extraction is reshaping rivers, ecosystems, and communities faster than sustainable management can keep pace.
How Tides and River Water Combine to Amplify Floods
Tidal subharmonics help push water levels higher in tidal rivers.
A valley-blocking landslide in Lower Siang district, Arunachal Pradesh, India
A large landslide in India, triggered by monsoon rainfall, was captured on a remarkable video. On Monday 29 June 2026, a valley-blocking landsldie occurred on the Siji River in Lower Siang district, Arunachal Pradesh, India. I have yet to track down the precise location of this event, but it is in the region of [27.7146, […]
Archetypes Could Accelerate Agricultural Adaptation to Less Snowpack
Measurable characteristics can be used to develop archetypes of complex agricultural systems, helping stakeholders to assess where different adaptation strategies are more likely to succeed.
Keeping Humans in the Loop Improves Flood Forecasting
Artificial intelligence and machine learning can improve flood predictions—but human expertise still matters for accurate warnings, new research says.
Small and Large Grains Move Differently in Water
A shift in perspective: flume experiments show that grain entrainment is far more complex than traditional models suggest.
More Braided Rivers from Increasing Flow Variability
Global analysis of satellite data and river flow records show that higher flow intermittency after climate change may lead to an increasing number of threads in braided rivers, thus impacting ecosystems.
