semantic_scholarJournal of Hydrology: Regional Studies2026-08-01Cited by 0

Predicting CO2 fluxes across diverse lake types using an interpretable wavelet–PSO–deep learning framework

Rui Wang, Yuting Yang, Xiaoyang Li, Guangrong Hu, Fangzhong Shi

View free PDFSource page

Related papers

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

Explainable deep learning for predicting lake expansion in the Siling Co Endorheic basin: Unraveling driver shifts and hydro-climatic tipping points

Xiangnan Jing, Rao Zhu, Yunfa Miao

View free PDFSource page

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

Benchmark-guided insights into hybrid process-based-deep learning models for continental-scale streamflow prediction across the United States

Daneti Arun Sourya, Manikanta Velpuri, M. Rathinasamy

View free PDFSource page

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

Data-driven spatial prediction of groundwater levels using machine learning in the gilgel abay watershed, Ethiopia: A comprehensive multi-model evaluation with cross-validation

Bizuneh Mekonen Kasaw, F. Zimale, Bezawork Tilahun, T. Assefa, E. Leggesse, Seifu A. Tilahun

View free PDFSource page

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

Climate-sensitive assessment of drought dynamics using pattern-mining and machine-learning approaches across Iran’s hydro-climatic zones

Saeed Sharafi, F. Mottaghi, Fatemeh Omidvari

View free PDFSource page

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

Effects of meteorological reconstruction on hydrological and deep learning streamflow models in Lanyang Watershed, Taiwan

N. T. Tran, Yuan-Fong Su

View free PDFSource page

semantic_scholarJournal of Hydrology: Regional Studies2026-08-01

A machine learning framework for ERA5-PWV bias calibration

Kai Li, Yun Xie, Jie Tang, De-rui Luo, Junjie Xu, Hanquan Cheng, et al.

View free PDFSource page