Print Email Facebook Twitter VECMAtk Title VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations Author Groen, D. (Brunel University; University College London (UCL)) Arabnejad, H. (Brunel University) Jancauskas, V. (Leibniz Supercomputing Centre) Edeling, W. N. (Centrum Wiskunde & Informatica (CWI)) Jansson, F.R. (TU Delft Atmospheric Remote Sensing; Centrum Wiskunde & Informatica (CWI)) Richardson, R. A. (University College London (UCL); Netherlands eScience Center) Lakhlili, J. (EURATOM Association) Veen, L. (Netherlands eScience Center) Bosak, B. (Poznań Supercomputing and Networking Center) Date 2021 Abstract We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications, systematically compare and validate the simulation outputs against observational or benchmark data, and run simulations conveniently on any platform from the desktop to current multi-petascale computers. In this sequel to our paper on VECMAtk which we presented last year [1] we focus on a range of functional and performance improvements that we have introduced, cover newly introduced components, and applications examples from seven different domains such as conflict modelling and environmental sciences. We also present several implemented patterns for UQ/SA and V&V, and guide the reader through one example concerning COVID-19 modelling in detail. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico'. Subject multiscale simulationsuncertainty quantificationvalidationverification To reference this document use: http://resolver.tudelft.nl/uuid:c1914207-3db9-46eb-8e23-47efe119cd46 DOI https://doi.org/10.1098/rsta.2020.0221 ISSN 1471-2962 Source Royal Society of London. Philosophical Transactions A. Mathematical, Physical and Engineering Sciences (online), 379 (2197), 1-22 Part of collection Institutional Repository Document type journal article Rights © 2021 D. Groen, H. Arabnejad, V. Jancauskas, W. N. Edeling, F.R. Jansson, R. A. Richardson, J. Lakhlili, L. Veen, B. Bosak, More Authors Files PDF rsta.2020.0221.pdf 1.68 MB Close viewer /islandora/object/uuid:c1914207-3db9-46eb-8e23-47efe119cd46/datastream/OBJ/view