Cheng credits his co-authors' preexisting relationships with the Indigenous communities. Herman-Mercer has worked for years ...

The Katni River in Madhya Pradesh, India, grew dry and patchy during a 2016 drought. Credit: Anishdayal, Wikimedia Commons, CC BY-SA 4.0 Streamflow drought—when substantially less water than usual ...

Abstract: Accurate runoff prediction is essential for effective water resource management, particularly in addressing flood control and monitoring drought conditions. However, the diverse nature of ...

Streamflow modeling plays a crucial role in securing water supplies and assessing the impacts of climate change. However, the uneven global distribution of gauges and the scarcity of data in large ...

A version of this story was originally published in the MT Lowdown, a weekly newsletter digest containing original reporting and analysis published every Friday. As we enter the homestretch of summer, ...

We explore a hybrid statistical-dynamical approach as a methodology for potentially improving total seasonal streamflow volume forecasts at a key lake reservoir in the Upper Columbia River basin, a ...

Wildfires and other watershed disturbances are becoming an increasing concern for natural resource managers. Since 2000, an average of 7 million acres across the U.S. have burned each year due to ...

Hydrologists show most streamflow out of the West's mountains is old snowmelt on a multi-year underground journey. New study finds that spring runoff is on average 5 years old. Growing communities and ...

Accurate streamflow prediction is crucial for understanding climate change impacts on water resources and for effective management of extreme hydrological events. While Long Short-Term Memory (LSTM) ...

This dataset represents streamflow time series collected at 5-minute intervals and updated annually, offering high-resolution data for monitoring and analyzing streamflow dynamics. The data is ...