Articles | Volume 14, issue 11
Geosci. Model Dev., 14, 7133–7153, 2021
Geosci. Model Dev., 14, 7133–7153, 2021

Development and technical paper 24 Nov 2021

Development and technical paper | 24 Nov 2021

How biased are our models? – a case study of the alpine region

Denise Degen et al.

Related authors

Effects of transient processes for thermal simulations of the Central European Basin
Denise Degen and Mauro Cacace
Geosci. Model Dev., 14, 1699–1719,,, 2021
Short summary

Related subject area

Numerical methods
An explicit GPU-based material point method solver for elastoplastic problems (ep2-3De v1.0)
Emmanuel Wyser, Yury Alkhimenkov, Michel Jaboyedoff, and Yury Y. Podladchikov
Geosci. Model Dev., 14, 7749–7774,,, 2021
Short summary
MagIC v5.10: a two-dimensional message-passing interface (MPI) distribution for pseudo-spectral magnetohydrodynamics simulations in spherical geometry
Rafael Lago, Thomas Gastine, Tilman Dannert, Markus Rampp, and Johannes Wicht
Geosci. Model Dev., 14, 7477–7495,,, 2021
Short summary
Machine-learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets
Moritz Lange, Henri Suominen, Mona Kurppa, Leena Järvi, Emilia Oikarinen, Rafael Savvides, and Kai Puolamäki
Geosci. Model Dev., 14, 7411–7424,,, 2021
Short summary
Recalculation of error growth models' parameters for the ECMWF forecast system
Hynek Bednář, Aleš Raidl, and Jiří Mikšovský
Geosci. Model Dev., 14, 7377–7389,,, 2021
Short summary
B-flood 1.0: an open-source Saint-Venant model for flash-flood simulation using adaptive refinement
Geoffroy Kirstetter, Olivier Delestre, Pierre-Yves Lagrée, Stéphane Popinet, and Christophe Josserand
Geosci. Model Dev., 14, 7117–7132,,, 2021
Short summary

Cited articles

Aretz-Nellesen, N., Grepl, M. A., and Veroy, K.: 3D-VAR for parameterized partial differential equations: a certified reduced basis approach, Adv. Comput. Math., 45, 2369–2400, 2019. a
Baroni, G. and Tarantola, S.: A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study, Environ. Modell. Softw., 51, 26–34, 2014. a
Baş, D. and Boyacı, I. H.: Modeling and optimization I: Usability of response surface methodology, J. Food Eng., 78, 836–845, 2007. a
Benner, P., Gugercin, S., and Willcox, K.: A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems, SIAM Rev., 57, 483–531, 2015. a, b, c
Bezerra, M. A., Santelli, R. E., Oliveira, E. P., Villar, L. S., and Escaleira, L. A.: Response surface methodology (RSM) as a tool for optimization in analytical chemistry, Talanta, 76, 965–977, 2008. a
Short summary
In times of worldwide energy transitions, an understanding of the subsurface is increasingly important to provide renewable energy sources such as geothermal energy. To validate our understanding of the subsurface we require data. However, the data are usually not distributed equally and introduce a potential misinterpretation of the subsurface. Therefore, in this study we investigate the influence of measurements on temperature distribution in the European Alps.