Assessing the Quality of Regional Climate Information

Author:

Pacchetti Marina Baldissera1,Dessai Suraje1,Bradley Seamus2,Stainforth David A.3

Affiliation:

1. School of Earth and Environment, and ESRC Centre for Climate Change Economics and Policy, University of Leeds, Leeds, United Kingdom

2. School of Philosophy, Religion and History of Science, and ESRC Centre for Climate Change Economics and Policy, University of Leeds, Leeds, United Kingdom

3. Centre for the Analysis of Time Series, and Grantham Research Institute on Climate Change and the Environment, and ESRC Centre for Climate Change Economics and Policy, London School of Economics and Political Science, London, and Department of Physics, University of Warwick, Coventry, United Kingdom

Abstract

AbstractThere are now a plethora of data, models, and approaches available to produce regional and local climate information intended to inform adaptation to a changing climate. There is, however, no framework to assess the quality of these data, models, and approaches that takes into account the issues that arise when this information is produced. An evaluation of the quality of regional climate information is a fundamental requirement for its appropriate application in societal decision-making. Here, an analytical framework is constructed for the quality assessment of science-based statements and estimates about future climate. This framework targets statements that project local and regional climate at decadal and longer time scales. After identifying the main issues with evaluating and presenting regional climate information, it is argued that it is helpful to consider the quality of statements about future climate in terms of 1) the type of evidence and 2) the relationship between the evidence and the statement. This distinction not only provides a more targeted framework for quality, but also shows how certain evidential standards can change as a function of the statement under consideration. The key dimensions to assess regional climate information quality are diversity, completeness, theory, adequacy for purpose, and transparency. This framework is exemplified using two research papers that provide regional climate information and the implications of the framework are explored.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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