I am very happy that our article Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces was accepted in Water Resources Research (Wiley).

The article is a product of two collaborating teams at TUM within the UNMIX project. Daniel Bittner and Gabriele Chiogna from the Chair of Hydrology and River Basin Management and Steven Mattis, Barbara Wohlmuth, and I worked a lot on the revision and improved the quality of the manuscript due to very detailed reviews.

The paper is a description of our parameter calibration approach for a model of the Kerschbaum spring in Waidhofen a.d. Ybbs in Austria. We used active subspaces as a dimension reduction technique to infer parameters in lower dimensions while saving computational cost and to study parameter sensitivities in a Bayesian inverse problem.

I want to thank everyone who contributed to the article and made this a scientifically valuable contribution!

Journal link: doi:10.1029/2019WR024739
arXiv link: arXiv:1901.03283