Past millennial solar forcing magnitude: A statistical hemispheric-scale climate model versus proxy data comparison

16Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

A set of global climate model simulations for the last thousand years developed by the Max Planck Institute is compared with paleoclimate proxy data and instrumental data, focusing on surface temperatures for land areas between 30° and 75°N. The proxy data are obtained from six previously published Northern Hemispheric-scale temperature reconstructions, here re-calibrated for consistency, which are compared with the simulations utilizing a newly developed statistical framework for ranking several competing simulations by means of their statistical distance against past climate variations. The climate model simulations are driven by either "low" or "high" solar forcing amplitudes (0.1 and 0.25 % smaller total solar irradiance in the Maunder Minimum period compared to the present) in addition to several other known climate forcings of importance. Our results indicate that the high solar forcing amplitude results in a poorer match with the hemispheric-scale temperature reconstructions and lends stronger statistical support for the low-amplitude solar forcing. However, results are likely conditional upon the sensitivity of the climate model used and strongly dependent on the choice of temperature reconstruction, hence a greater consensus is needed regarding the reconstruction of past temperatures as this currently provides a great source of uncertainty. © 2012 The Author(s).

Cite

CITATION STYLE

APA

Hind, A., & Moberg, A. (2013). Past millennial solar forcing magnitude: A statistical hemispheric-scale climate model versus proxy data comparison. Climate Dynamics, 41(9–10), 2527–2537. https://doi.org/10.1007/s00382-012-1526-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free