ORCID Profile
0000-0003-0485-9798
Current Organisation
National University of Ireland Maynooth
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Publisher: American Geophysical Union (AGU)
Date: 29-06-2011
DOI: 10.1029/2010JD015487
Publisher: Wiley
Date: 26-11-2009
DOI: 10.1002/JOC.1825
Publisher: American Geophysical Union (AGU)
Date: 17-05-2016
DOI: 10.1002/2015JD024583
Publisher: Wiley
Date: 10-10-2008
DOI: 10.1002/JOC.1756
Publisher: American Meteorological Society
Date: 04-2009
Publisher: Intergovernmental Panel on Climate Change (IPCC)
Date: 25-07-2023
DOI: 10.59327/IPCC/AR6-9789291691647.001
Abstract: The Summary for Policymakers (SPM) of the Synthesis Report (SYR) of the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC), is a component of the SYR which provides a policy-relevant but policy-neutral summary of the SYR. It is consistent with the Sections of the SYR and is approved line by line by the Governments at a plenary session of the Intergovernmental Panel on Climate Change.
Publisher: Intergovernmental Panel on Climate Change (IPCC)
Date: 25-07-2023
DOI: 10.59327/IPCC/AR6-9789291691647
Abstract: The Synthesis Report (SYR) is a stand-alone synthesis of the most policy-relevant evidence from the scientific, technical, and socio-economic literature assessed in the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC). The SYR distils and integrates the main findings of the three reports of the Working Groups of the IPCC during the AR6, and the three AR6 Special Reports into a concise document. It consists of a Summary for Policymakers and a longer report.
Publisher: American Geophysical Union (AGU)
Date: 17-05-2016
DOI: 10.1002/2015JD024584
Publisher: Proceedings of the National Academy of Sciences
Date: 29-11-2012
Abstract: We perform a multimodel detection and attribution study with climate model simulation output and satellite-based measurements of tropospheric and stratospheric temperature change. We use simulation output from 20 climate models participating in phase 5 of the Coupled Model Intercomparison Project. This multimodel archive provides estimates of the signal pattern in response to combined anthropogenic and natural external forcing (the fingerprint) and the noise of internally generated variability. Using these estimates, we calculate signal-to-noise (S/N) ratios to quantify the strength of the fingerprint in the observations relative to fingerprint strength in natural climate noise. For changes in lower stratospheric temperature between 1979 and 2011, S/N ratios vary from 26 to 36, depending on the choice of observational dataset. In the lower troposphere, the fingerprint strength in observations is smaller, but S/N ratios are still significant at the 1% level or better, and range from three to eight. We find no evidence that these ratios are spuriously inflated by model variability errors. After removing all global mean signals, model fingerprints remain identifiable in 70% of the tests involving tropospheric temperature changes. Despite such agreement in the large-scale features of model and observed geographical patterns of atmospheric temperature change, most models do not replicate the size of the observed changes. On average, the models analyzed underestimate the observed cooling of the lower stratosphere and overestimate the warming of the troposphere. Although the precise causes of such differences are unclear, model biases in lower stratospheric temperature trends are likely to be reduced by more realistic treatment of stratospheric ozone depletion and volcanic aerosol forcing.
Location: United States of America
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Peter Thorne.