Results 121 to 130 of about 92,110 (294)

September streamflow

Eos, Transactions American Geophysical Union, 1985
Streamflows were normal to well above normal at 93% of the key index gaging stations across the country during September, according to the end of the month check on water resources conditions by the U.S. Geological Survey (USGS). USGS hydrologists said that of the 174 key index gaging stations reporting for September, 35% (61 stations) had well above ...
openaire   +1 more source

A Conceptualized Groundwater Flow Model Development for Integration with Surface Hydrology Model

, 2017
A groundwater system model was developed and calibrated in the study area of Lehman Creek watershed, eastern Nevada. The model development aims for integrating the surface hydrologic model - precipitation runoff modeling system (PRMS) model - with the ...
Ahmad, Sajjad, Chen, Chao, Kalra, Ajay
core   +1 more source

Runoff Reconstructions and Future Projections Indicate Highly Variable Water Supply From Pacific Rim Water Towers

AGU Advances, Volume 7, Issue 1, February 2026.
Abstract Anthropogenic climate change affects regional hydrological cycles and poses significant challenges to the sustainable supply of freshwater. The Central China water tower (CCWT) is the key source region feeding the Yangtze and Yellow Rivers, and its runoff is indispensable for the surrounding mega‐city clusters. Here we present a reconstruction
Weipeng Yue, Max C. A. Torbenson, Feng Chen, Frederick Reinig, Jan Esper, Edurne Martinez del Castillo, Shijie Wang, Xiaoen Zhao, Mao Hu, Yang Xu, Martín A. Hadad, Álvaro González‐Reyes, Fidel A. Roig, Tiyuan Hou, Honghua Cao, Hechuan Wang, Heli Zhang, Junqiang Niu, Youping Chen   +18 more
wiley   +1 more source

July streamflows

Eos, Transactions American Geophysical Union, 1984
Flows of most of the nation's key index streams were average to well above average in the first full month of summer, according to the U.S. Geological Survey (USGS), Department of the Interior.A USGS network of 173 index gauging stations provided the regular month‐end check of the status of streamflow conditions across the country.
openaire   +1 more source

Toward improved streamflow forecasts: Value of semidistributed modeling [PDF]

, 2001
The focus of this study is to assess the performance improvements of semidistributed applications of the U.S. National Weather Service Sacramento Soil Moisture Accounting model on a watershed using radar-based remotely sensed precipitation data ...
Boyle, DP, Gupta, HV, Koren, V, Smith, M, Sorooshian, S, Zhang, Z   +5 more
core   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source

Snow drought propagation and its impacts on streamflow drought in the Alps

Environmental Research Letters
Snow droughts, that is negative anomalies in annual snow storage, challenge water resources management in snow-rich catchments and their downstream regions because they can lead to succeeding streamflow droughts in the following melt season.
Corentin Chartier-Rescan, Raul R Wood, Manuela I Brunner   +2 more
doaj   +1 more source

October streamflow

Eos, Transactions American Geophysical Union, 1986
Streamflow for the month of October was in the normal or above‐normal range at 85% of the 192 U.S. index streamflow‐gaging stations, but below‐normal streamflow persisted in large parts of the Pacific Northwest and the Southeast. Lowest flows of record were set in parts of New York, Florida, and Puerto Rico, according to the U.S.
openaire   +1 more source

PrecipFusionNet: A Unified Deep Learning Model for Improving Numerical Precipitation Prediction

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Numerical weather prediction (NWP) often suffers from substantial biases when forecasting extreme rainfall. Traditional corrections tend to underuse spatial information, while deep learning approaches typically struggle with data imbalance for rare events.
Ziyi Zhang, Huiling Yuan
wiley   +1 more source

Preliminary Test of ERTS-1 Imagery for Improving Definition of Natural Streamflow [PDF]

, 1973
Preliminary test of ERTS-1 imagery for improving definition of natural streamflow, using two basins in Chesapeake Bay ...
Hollyday, E. F.
core   +1 more source