Is the 5 mm inflow-based subdivision method necessary in the Xinanjiang model? - Jianfei Zhao; Wentao Li; Panpan Luo; Zhen Ding; Jun Wang; Binquan Li; Yiming Hu; Zhongmin Liang (Environmental Modelling & Software, 2026)

An interpretable AutoML–SHAP approach for rapid urban pluvial flooding prediction - Wenhao Chu; Chaosen Jin; Chunxiao Zhang; Suchuang Di; Tianbao Wang; Heng Li; Yuqian Hu (Environmental Modelling & Software, 2026)

A generalized user-friendly method for fusing observational data and chemical transport model (Gen-Friberg V1.0: GF-1) - Zongrun Li; Abiola S. Lawal; Bingqing Zhang; Kamal J. Maji; Pengfei Liu; Yongtao Hu; Armistead G. Russell; M. Talat Odman (Environmental Modelling & Software, 2026)

A sub-seasonal to seasonal climate forecast informed irrigation scheduling tool for the Contiguous United States - Haiyang Shi; Ximing Cai; Xinchen Hu; Alaa Jamal; Donghui Li; Chao Sun; Xin-Zhong Liang (Environmental Modelling & Software, 2026)

Daily runoff simulation in humid regions using the entropy-weighted ensemble learning models - Zhenyu Tang; Liping Zhang; Chen Hu; Yaze Li; Gangsheng Wang; Zhiling Zhou; Xiao Li; Zhengfeng Bao; Hui Cao; Benjun Jia (Environmental Modelling & Software, 2025)

Investigate the rainfall-runoff relationship and hydrological concepts inside LSTM - Yuqian Hu; Heng Li; Chunxiao Zhang; Tianbao Wang; Wenhao Chu; Rongrong Li (Environmental Modelling & Software, 2025)

Regulation of efficient water use in paddy fields via the simulation of the water cycle in cold regions under random precipitation conditions - Mo Li; Kun Hu; Qiang Fu; Aizheng Yang; Xiaofang Wang; Pingan Zhang; Wenhao Dong; Zhenyi Sun (Environmental Modelling & Software, 2025)

An integrated framework for river assimilative capacity allocation based on environmental fairness and efficiency trade-offs with a modified optimization model in a river basin - Zhimin Yang; Jiangying Wang; Xiaoxuan Li; Chunhui Li; Zaohong Pu; Jing Hu; Yujun Yi; Xuan Wang; Qiang Liu (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)

Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution - Hu Jiang; Qiang Zou; Yong Li; Yao Jiang; Junfang Cui; Bin Zhou; Wentao Zhou; Siyu Chen; Zihao Zeng (Environmental Modelling & Software, 2025)

Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions - Hu Jiang; Qiang Zou; Yunqiang Zhu; Yong Li; Bin Zhou; Wentao Zhou; Shunyu Yao; Xiaoliang Dai; Hongkun Yao; Siyu Chen (Environmental Modelling & Software, 2024)

Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods - Tongxi Hu; Xuesong Zhang; Sami Khanal; Robyn Wilson; Guoyong Leng; Elizabeth M. Toman; Xuhui Wang; Yang Li; Kaiguang Zhao (Environmental Modelling & Software, 2024)

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)