The past 1500 years provide a valuable opportunity to study the response of the climate system to external forcings. However, the integration of paleoclimate proxies with climate modeling is critical to improving the understanding of climate dynamics. In this paper, a climate system model and proxy records are therefore used to study the role of natural and anthropogenic forcings in driving the global climate. The inverse and forward approaches to paleoclimate data–model comparison are applied, and sources of uncertainty are identified and discussed. In the first of two case studies, the climate model simulations are compared with multiproxy temperature reconstructions. Robust solar and volcanic signals are detected in Southern Hemisphere temperatures, with a possible volcanic signal detected in the Northern Hemisphere. The anthropogenic signal dominates during the industrial period. It is also found that seasonal and geographical biases may cause multiproxy reconstructions to overestimate the magnitude of the long-term preindustrial cooling trend. In the second case study, the model simulations are compared with a coral δ18O record from the central Pacific Ocean. It is found that greenhouse gases, solar irradiance, and volcanic eruptions all influence the mean state of the central Pacific, but there is no evidence that natural or anthropogenic forcings have any systematic impact on El Niño–Southern Oscillation. The proxy climate relationship is found to change over time, challenging the assumption of stationarity that underlies the interpretation of paleoclimate proxies. These case studies demonstrate the value of paleoclimate data–model comparison but also highlight the limitations of current techniques and demonstrate the need to develop alternative approaches.
Paleoclimate Data–Model Comparison and the Role of Climate Forcings over the Past 1500 Years*
Authors:
Steven J. Phipps*, Helen V. McGregor+, Joëlle Gergis#, Ailie J. E. Gallant#,&&, Raphael Neukom@, Samantha Stevenson&, Duncan Ackerley**, Josephine R. Brown++, Matt J. Fischer##, and Tas D. van Ommen@@Affiliations* Climate Change Research Centre, and ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales, Australia
Affiliations+ School of Earth and Environmental Sciences, University of Wollongong, Wollongong, New South Wales, Australia
Affiliations# School of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia
Affiliations@ Swiss Federal Research Institute WSL, Birmensdorf, and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Affiliations& International Pacific Research Center, University of Hawai`i at Mānoa, Honolulu, Hawaii
Affiliations** Monash Weather and Climate, Monash University, Clayton, Victoria, Australia
Affiliations++ Centre for Australian Weather and Climate Research, Melbourne, Victoria, Australia
Affiliations## Institute for Environmental Research, Australian Nuclear Science and Technology Organisation, Menai, New South Wales, Australia
Affiliations@@ Australian Antarctic Division, Kingston, and Antarctic Climate & Ecosystems CRC, University of Tasmania, Hobart, Tasmania, Australia
Affiliations+ School of Earth and Environmental Sciences, University of Wollongong, Wollongong, New South Wales, Australia
Affiliations# School of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia
Affiliations@ Swiss Federal Research Institute WSL, Birmensdorf, and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Affiliations& International Pacific Research Center, University of Hawai`i at Mānoa, Honolulu, Hawaii
Affiliations** Monash Weather and Climate, Monash University, Clayton, Victoria, Australia
Affiliations++ Centre for Australian Weather and Climate Research, Melbourne, Victoria, Australia
Affiliations## Institute for Environmental Research, Australian Nuclear Science and Technology Organisation, Menai, New South Wales, Australia
Affiliations@@ Australian Antarctic Division, Kingston, and Antarctic Climate & Ecosystems CRC, University of Tasmania, Hobart, Tasmania, Australia
Received: 8 February 2012
Final Form: 31 January 2013
Published Online: 9 September 2013
September 2013
Share this Article
Most Read JCLI Articles
(posted in the last 12 months)
|
Haustein et al.
Journal of Climate
August 2019, Vol. 32, No. 16
|
|
Taszarek et al.
Journal of Climate
March 2019, Vol. 32, No. 6
|
|
Schweiger et al.
Journal of Climate
August 2019, Vol. 32, No. 15
|
|
Singh et al.
Journal of Climate
December 2018, Vol. 31, No. 23
|
|
Årthun et al.
Journal of Climate
June 2019, Vol. 32, No. 11
|
|
Kim et al.
Journal of Climate
December 2018, Vol. 31, No. 23
|
Most Cited JCLI Articles
(past 3 years)
-
Rienecker et al.Journal of ClimateJuly 2011, Vol. 24, No. 14
-
Vicente-Serrano et al.Journal of ClimateApril 2010, Vol. 23, No. 7
-
Reynolds et al.Journal of ClimateNovember 2007, Vol. 20, No. 22
-
Held et al.Journal of ClimateNovember 2006, Vol. 19, No. 21
-
Saha et al.Journal of ClimateMarch 2014, Vol. 27, No. 6
-
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) (631 times)Gelaro et al.Journal of ClimateJuly 2017, Vol. 30, No. 14
Featured Special Collections
Waves to Weather (W2W) - JAS, MWR, JHM, WAF
Process-Oriented Model Diagnostics - JCLI, JAS
IFloodS 2013: A Field Campaign to Support the NASA-JAXA Global Precipitation Measurement Mission - JHM
Ontario Winter Lake-effect Systems (OWLeS) - MWR, BAMS, WAF, JAMC
Plains Elevated Convection At Night (PECAN) - BAMS, MWR, JAMC, WAF, JTECH, JAS
Hurricane and Severe Storm Sentinel (HS3) - BAMS, MWR, JAS
Global Precipitation Measurement (GPM): Science and Applications -BAMS, EI, MWR, JHM, JAMC, JTECH
Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) -JCLI, MWR, JHM, JAS


