Validation of uncertainty-oriented environmental models: A review of the existing approaches

Eker, S. ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443, Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, & Langan, S. ORCID: https://orcid.org/0000-0003-0742-3658 (2018). Validation of uncertainty-oriented environmental models: A review of the existing approaches. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.

[thumbnail of Eker_EGU_2018.pdf]
Preview
Text
Eker_EGU_2018.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (2MB) | Preview

Abstract

Environmental modelling is a commonly used tool to assist the policy dimension of sustainability problems.
Model evaluation is an important process in such decision-making contexts to ensure credibility, and it is often
considered a purpose-dependent activity. Models are increasingly used for the purpose of scenario generation to
deal with non-probabilistic uncertainties. This change in the model purpose implies a change in the evaluation
process, and may require different validation techniques.
In this paper, we investigate the existing validation viewpoints and approaches, and compare the general
modeling context to the scenario generation purpose in particular. We employ three methods for this investigation:
(i) A literature review about validation in environmental modeling, (ii) a text-mining analysis on a large dataset
of validation-related publications, and (iii) an online survey conducted among model developers and users
in academia, governmental and non-governmental policy organizations, and industry. The results indicate a
data-orientation for systematic validation, and that conventional validation approaches are adopted even for
models used for the purpose of scenario exploration. Future studies can develop a validation framework for models
used specifically for generating scenarios and decision-making under non-probabilistic uncertainty.

Item Type: Conference or Workshop Item (Paper)
Research Programs: Advanced Systems Analysis (ASA)
Ecosystems Services and Management (ESM)
Water (WAT)
Depositing User: Luke Kirwan
Date Deposited: 07 Sep 2018 11:44
Last Modified: 27 Aug 2021 17:30
URI: https://pure.iiasa.ac.at/15447

Actions (login required)

View Item View Item