"Apples and Oranges": On comparing simulated historic near‐surface temperature changes with observations. (26th September 2020)
- Record Type:
- Journal Article
- Title:
- "Apples and Oranges": On comparing simulated historic near‐surface temperature changes with observations. (26th September 2020)
- Main Title:
- "Apples and Oranges": On comparing simulated historic near‐surface temperature changes with observations
- Authors:
- Jones, Gareth S.
- Abstract:
- Abstract: Simulated historic near‐surface air temperature variations are often compared with observations of land air temperatures blended with sea surface temperatures. This study investigates claims that this is not a "true like‐with‐like" comparison, which may cause small biases in simulated twentieth century temperature changes, with implications for different climate attribution and projection studies. A more appropriate analysis, it is claimed, should use simulated sea surface temperatures blended with land air temperatures; an apparent discrepancy with observed trends is then reduced. As the temperature of the uppermost level in a model's ocean is used to represent simulated sea surface temperatures, that models have inconsistent ways of representing land, and that simulations have differing sea ice coverages, the claim of an idealised analysis approach is challenged. An examination of Coupled Model Intercomparison Project simulations, compared with an observational dataset of near‐surface temperatures, suggests there is a bias in simulated historic trends when upper‐ocean temperatures are used instead of marine air temperatures, but this bias is small compared to other model and observational uncertainties and the impact of analysis choices. The results indicate that it is generally appropriate to use global near‐surface air temperature diagnostics to compare simulated historic climate change with observed temperature changes. Alternative model diagnostics are notAbstract: Simulated historic near‐surface air temperature variations are often compared with observations of land air temperatures blended with sea surface temperatures. This study investigates claims that this is not a "true like‐with‐like" comparison, which may cause small biases in simulated twentieth century temperature changes, with implications for different climate attribution and projection studies. A more appropriate analysis, it is claimed, should use simulated sea surface temperatures blended with land air temperatures; an apparent discrepancy with observed trends is then reduced. As the temperature of the uppermost level in a model's ocean is used to represent simulated sea surface temperatures, that models have inconsistent ways of representing land, and that simulations have differing sea ice coverages, the claim of an idealised analysis approach is challenged. An examination of Coupled Model Intercomparison Project simulations, compared with an observational dataset of near‐surface temperatures, suggests there is a bias in simulated historic trends when upper‐ocean temperatures are used instead of marine air temperatures, but this bias is small compared to other model and observational uncertainties and the impact of analysis choices. The results indicate that it is generally appropriate to use global near‐surface air temperature diagnostics to compare simulated historic climate change with observed temperature changes. Alternative model diagnostics are not necessarily superior to those used in standard approaches, and the emphasis of model and observational discrepancies may be based on overconfident reasoning. Abstract : Analyses of historical climate change often compare simulated near‐surface air temperatures with observations of land air temperatures blended with sea surface temperatures. There have been claims that this is not a "true like‐with‐like" comparison, and allegedly more appropriate analyses could result in reductions in apparent discrepancies with observed trends. The impact of blending simulated air and ocean temperatures is small relative to model and observational uncertainties and, also given model inconsistencies, it is appropriate to use near‐surface air temperatures. … (more)
- Is Part Of:
- Quarterly journal of the Royal Meteorological Society. Volume 146:Number 733(2020)
- Journal:
- Quarterly journal of the Royal Meteorological Society
- Issue:
- Volume 146:Number 733(2020)
- Issue Display:
- Volume 146, Issue 733 (2020)
- Year:
- 2020
- Volume:
- 146
- Issue:
- 733
- Issue Sort Value:
- 2020-0146-0733-0000
- Page Start:
- 3747
- Page End:
- 3771
- Publication Date:
- 2020-09-26
- Subjects:
- climate change -- climate models -- observed temperatures -- CMIP5
Meteorology -- Periodicals
551.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1477-870X/issues ↗
http://onlinelibrary.wiley.com/ ↗
http://www.ingentaselect.com/rpsv/cw/rms/00359009/contp1.htm ↗ - DOI:
- 10.1002/qj.3871 ↗
- Languages:
- English
- ISSNs:
- 0035-9009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7186.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21615.xml