Results 141 to 150 of about 77,835 (200)

Long‐Term Monotonic Trends in Water Budget Components in the Contiguous United States: Insights From Two Hydrologic Models

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 2, April 2026.
ABSTRACT Characterizing changes to water availability for domestic, industrial, agricultural, and other uses is essential to support water management. To better quantify these changes, the U.S. Geological Survey and National Science Foundation National Center for Atmospheric Research produced two hydrologic models simulating water budget components ...
Phillip Goodling, Sydney Foks, Jessica Ayers   +2 more
wiley   +1 more source

Data‐driven discovery of mechanistic ecosystem models with LLMs

Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1303-1321, April 2026.
Abstract Ecosystem models are essential for ecosystem management, but their development traditionally requires significant time and expertise, creating bottlenecks in addressing urgent environmental challenges. We present LEMMA (LLM Enabled Mechanistic Modelling for ecosystem Assessment), a framework that programmatically generates and iteratively ...
Scott Spillias, Jacob G. D. Rogers, Fabio Boschetti, Elizabeth A. Fulton, Magda Guglielmo, Suk Yee Yong, Rowan Trebilco   +6 more
wiley   +1 more source

Integrating hydrological simulation and paddy yield prediction using SWAT in the Bharathapuzha River basin of South India. [PDF]

Sci Rep
Karunanidhi D, Nair GS, Subramani T, Berhe BA.   +3 more
europepmc   +1 more source

The suitability of using dissolved gases to determine groundwater discharge to high gradient streams [PDF]

, 2018
Clark, Jordan F, Gleeson, Tom, Manning, Andrew H, Popp, Andrea, Zane, Matthew   +4 more
core   +2 more sources

Widespread Co‐Location of Less Frequent and More Intense Daily Precipitation Over Land

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Under increasingly variable rainfall, trends toward more intense and less frequent daily‐scale precipitation have been identified using regional and global averages. However, it has not been explicitly demonstrated whether and where these trends are co‐located, which is important given their potential impacts on land surface processes.
Andrew F. Feldman, Xue Feng, Andrew J. Felton, Wade T. Crow, Joel A. Biederman, Alexandra G. Konings, Benjamin Poulter, Shawn P. Serbin   +7 more
wiley   +1 more source

Antecedent moisture enhances early warning of atmospheric river flood hazards. [PDF]

Nat Commun
Webb MJ, Albano CM, Bozkurt D, Garreaud RD, Wilson AM, Yu G, Anderson ML, Ralph FM.   +7 more
europepmc   +1 more source

Forest Impacts on Peak Runoff Revealed by Accounting for the Effects of Climate

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Land cover affects the runoff response of catchments. However, such land‐cover effects remain difficult to decipher because experimental studies are site‐specific, while large‐sample analyses are often confounded by climate gradients that obscure the role of land cover. Site‐to‐site comparisons that ignore differences in antecedent wetness may
Shaozhen Liu, James W. Kirchner, Louise J. Slater, Marius G. Floriancic, Ilja van Meerveld, Wouter R. Berghuijs   +5 more
wiley   +1 more source

Naturalized and human-influenced streamflow of the Amur River for century-scale hydrological assessment. [PDF]

Sci Data
Feng Y, Li Y, Zhang B, Zhang S, Zhao T, Zhang C.   +5 more
europepmc   +1 more source

Fine‐Scale Characterization of Groundwater Recharge Efficacy Under Ecological Water Replenishment: An AI‐Enhanced Learning Framework Benchmarked Against Traditional Geostatistics

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Ecological Water Replenishment (EWR) is critical for restoring depleted aquifers, yet quantifying its spatiotemporal impacts remains challenging. Leveraging multi‐source data sets and Light Gradient Boosting Machine (LightGBM), this study reconstructs high‐resolution (250 m) groundwater level dynamics in the Yongding River basin, Beijing, and ...
Weican Li, Chengpeng Lu, Jingsi Zhu, Yu Liu, Chengcheng Wu, Shuangyu Liu, Bo Liu, Longcang Shu   +7 more
wiley   +1 more source

Comparative assessment of machine learning models for daily streamflow prediction in a subtropical monsoon watershed. [PDF]

Sci Rep
Zhang Z, Xiao Y, Chen R, Long K, Deng H, Zheng Z, Liao J.   +6 more
europepmc   +1 more source