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Observational challenges in evaluating climate models

Collins, M., AchutaRao, K., Ashok, K., Bhandari, S., Karumuri, A., Mitra, A., Prakash, S., Srivistava, R. and Turner, A. ORCID: (2013) Observational challenges in evaluating climate models. Nature Climate Change, 3. pp. 940-941. ISSN 1758-6798

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To link to this item DOI: 10.1038/nclimate2012


Activities like the Coupled Model Intercomparison Project (CMIP) have revolutionized climate modelling in terms of our ability to compare models and to process information about climate projections and their uncertainties. The evaluation of models against observations is now considered a key component of multi-model studies. While there are a number of outstanding scientific issues surrounding model evaluation, notably the open question of how to link model performance to future projections, here we highlight a specific but growing problem in model evaluation - that of uncertainties in the observational data that are used to evaluate the models. We highlight the problem using an example obtained from studies of the South Asian Monsoon but we believe the problem is a generic one which arises in many different areas of climate model evaluation and which requires some attention by the community.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:33826
Publisher:Nature Publishing Group

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