Complexity vs. efficiency: Are full-structure Copula models worth the cost in multivariate hydrological simulation? - Fan Li; Pengcheng Xu; Gengxi Zhang; Jingcai Wang (Environmental Modelling & Software, 2026)

Interpretable residual-informed hybrid physics-informed machine learning framework for runoff prediction in a typical karst basin in southwest China - Chongxun Mo; Changhao Jiang; Jiameng Xu; Yi Huang; Gang Tang; Lingling Tang; Yugong Li (Environmental Modelling & Software, 2026)

Multi-head attention driven aggregation-differentiation network for probabilistic groundwater depth forecasting and depth-stratified early warning: A multi-site efficient framework - Jing Xu; Siyuan Liu; Jinran Wu; Yuming Mo; Kun Wang; Qingfeng Ji; You-Gan Wang; Ling Li (Environmental Modelling & Software, 2026)

An efficient multi-objective optimization method for inter-basin water diversion based on the rotation vector method for exploring the convex objective space - Zekun Li; Bin Xu; Ping-an Zhong; Jiaying Tan; Ran Mo; Xinrong Wang; Zichen Ren; Guoqing Wang; Jianyun Zhang; Jiangyuan Li; Scott E. Boyce (Environmental Modelling & Software, 2026)

Transitional fresh-saltwater assessment in the integrated surface-groundwater hydrology of the regulated La Paz tidal watershed in Mexico - Xiaoxiao Zha; Horacio Hernández; Francisco Padilla; Raul Miranda; Manuel E. Mendoza; Arturo Cruz Falcón; Jianmin Bian; Jorge Adrián Perera Burgos; Alfredo Gonzaléz-Calderón; Xu Liao; Jesús Zárate Pérez; Yanmei Li (Environmental Modelling & Software, 2026)

NSVineCopula: R package for modeling non-stationary multivariate dependence - Q. Zhang; Y.P. Li; G.H. Huang; X.M. Huang; H. Wang; Z. Wang; Z.P. Xu; Y.Y. Wang; Z.Y. Shen (Environmental Modelling & Software, 2025)

Attention scores and peak perception in long-term ozone prediction using deep learning - Zhihao Xu; Danni Xu; Wenguang Li; Puyu Lian; Yuheng Chen; Fangyuan Yang; Kaihui Zhao (Environmental Modelling & Software, 2025)

Carbon emissions prediction based on ensemble models: An empirical analysis from China - Song Hu; Shixuan Li; Lin Gong; Dan Liu; Zhe Wang; Gangyan Xu (Environmental Modelling & Software, 2025)

Toward improved deep learning-based regionalized streamflow modeling : Exploiting the power of basin similarity - Yang Xu; Heng Li; Yuqian Hu; Chunxiao Zhang; Bingli Xu (Environmental Modelling & Software, 2025)

Estimation aboveground biomass in subtropical bamboo forests based on an interpretable machine learning framework - Xuejian Li; Huaqiang Du; Fangjie Mao; Yanxin Xu; Zihao Huang; Jie Xuan; Yongxia Zhou; Mengchen Hu (Environmental Modelling & Software, 2024)