Introduction: Mathematics applied to the climate system: outstanding challenges and recent progress
Williams, P.D.; Cullen, M.J.P.; Davey, M.K.; Huthnance, J.M. ORCID: https://orcid.org/0000-0002-3682-2896. 2013 Introduction: Mathematics applied to the climate system: outstanding challenges and recent progress [in special issue: Mathematics applied to the climate system] Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371 (1991). 20120518. 10.1098/rsta.2012.0518
Full text not available from this repository.Abstract/Summary
The societal need for reliable climate predictions and a proper assessment of their uncertainties is pressing. Uncertainties arise not only from initial conditions and forcing scenarios, but also from model formulation. Here, we identify and document three broad classes of problems, each representing what we regard to be an outstanding challenge in the area of mathematics applied to the climate system. First, there is the problem of the development and evaluation of simple physically based models of the global climate. Second, there is the problem of the development and evaluation of the components of complex models such as general circulation models. Third, there is the problem of the development and evaluation of appropriate statistical frameworks. We discuss these problems in turn, emphasizing the recent progress made by the papers presented in this Theme Issue. Many pressing challenges in climate science require closer collaboration between climate scientists, mathematicians and statisticians. We hope the papers contained in this Theme Issue will act as inspiration for such collaborations and for setting future research directions.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1098/rsta.2012.0518 |
ISSN: | 1364-503X |
Additional Keywords: | climate change, applied mathematics, model evaluation, conceptual models, general circulation models, statistical frameworks |
Date made live: | 22 Apr 2013 15:19 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/501436 |
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