Efficient parallelization of a dynamic global vegetation model with river routing. - W. von Bloh; S. Rost; Dieter Gerten; Wolfgang Lucht (Environ. Model. Softw., 2010)

Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change. - Rachel F. Warren; Neil R. Edwards; Frédéric Babonneau; P. M. Bacon; J. P. Dietrich; Rupert W. Ford; Paul H. Garthwaite; Dieter Gerten; Sudipta Goswami; Alain Haurie; Kevin Hiscock; Philip B. Holden; et al. (Environ. Model. Softw., 2019)

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)