Customising global climate science for national adaptation: A case study of climate projections in UNFCCC's National Communications.

Climate projections adaptation climate information climate scenarios customisation of climate science geographical imbalance

Journal

Environmental science & policy
ISSN: 1462-9011
Titre abrégé: Environ Sci Policy
Pays: England
ID NLM: 101561733

Informations de publication

Date de publication:
Nov 2019
Historique:
entrez: 26 11 2019
pubmed: 26 11 2019
medline: 26 11 2019
Statut: ppublish

Résumé

Countries differ markedly in their production of climate science. While richer nations are often home to a variety of climate models, data infrastructures and climate experts, poorer sovereigns often lack these attributes. However, less is known about countries' capacity to use global climate science and customise it into products informing national adaptation. We use a unique global dataset, the UNFCCC National Communications, to perform a global documentary analysis of scientific submissions from individual countries (n = 189). Comparing countries' climate projections with their competence in publishing climate science, our research examines the existence of geographical divides. Although countries proficient in publishing climate science use more complex climate modelling techniques, key characteristics of climate projections are highly similar around the globe, including multi-model ensembles of Global Circulation Models (GCMs). This surprising result is made possible because of the use of pre-configured climate modelling software packages. One concern is that these tools restrict customisation, such as country-specific observations, modelling information, and visualisation. Such tools may therefore hide a new geographical divide where countries with higher scientific capacities are able to inform what goes into these software packages, whereas lower scientific capacity countries are dependent upon these choices - whether beneficial for them or not. Our research suggests that free-to-use modelling and training efforts may unwittingly restrict, rather than foster, countries' capacity to customise global climate science into nationally relevant and legitimate climate information.

Identifiants

pubmed: 31762690
doi: 10.1016/j.envsci.2019.07.015
pii: S1462-9011(19)30541-6
pmc: PMC6853413
doi:

Types de publication

Journal Article

Langues

eng

Pagination

16-23

Informations de copyright

© 2019 The Authors.

Références

Proc Natl Acad Sci U S A. 2003 Jul 8;100(14):8086-91
pubmed: 12777623
Hist Cienc Saude Manguinhos. 2017 Oct-Dec;24(4):969-987
pubmed: 29412275
Wiley Interdiscip Rev Clim Change. 2014 Sep;5(5):587-603
pubmed: 25798197
Reg Environ Change. 2017;17(8):2325-2338
pubmed: 32009852
PLoS One. 2016 Jul 29;11(7):e0160393
pubmed: 27472663
Minerva. 2016;54(4):445-470
pubmed: 27942074

Auteurs

Maurice Skelton (M)

Institute for Environmental Decisions, Department of Environmental Systems Science, ETH Zürich, Switzerland.
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, P.O. Box 257, 8058, Zurich Airport, Switzerland.

James J Porter (JJ)

Department of Geography, King's College London, London, WC2R 2LS, UK.

Suraje Dessai (S)

Sustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment, University of Leeds, LS2 9JT, UK.

David N Bresch (DN)

Institute for Environmental Decisions, Department of Environmental Systems Science, ETH Zürich, Switzerland.
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, P.O. Box 257, 8058, Zurich Airport, Switzerland.

Reto Knutti (R)

Institute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zürich, Switzerland.

Classifications MeSH