From scripts towards provenance inference. - Mohammad Rezwanul Huq; Peter M. G. Apers; Andreas Wombacher; Yoshihide Wada; Ludovicus P. H. van Beek (eScience, 2012)

Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models. - Jamal Zaherpour; Nick J. Mount; Simon N. Gosling; Rutger Dankers; Stephanie Eisner; Dieter Gerten; Xingcai Liu; Yoshimitsu Masaki; Hannes Müller Schmied; Qiuhong Tang; Yoshihide Wada (Environ. Model. Softw., 2019)

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning. - Haoyu Ji; Yalan Song; Tadd Bindas; Chaopeng Shen; Yuan Yang; Ming Pan; Jiangtao Liu; Farshid Rahmani; Ather Abbas; Hylke E. Beck; Kathryn Lawson; Yoshihide Wada (CoRR, 2025)