15 Feb 2022
15 Feb 2022
Status: this preprint is currently under review for the journal CP.

A new global climate reconstruction for the Last Glacial Maximum

James Annan1, Julia Hargreaves1, and Thorsten Mauritsen2 James Annan et al.
  • 1Blue Skies Research Ltd, The Old Chapel, Albert Hill, Settle, BD24 9HE, UK
  • 2Department of Meteorology, Stockholm University, Stockholm, Sweden

Abstract. We present a new reconstruction of surface air temperature and sea surface temperature for the Last Glacial Maximum. The method blends model fields and sparse proxy-based point estimates through a data assimilation approach. Our reconstruction updates that of Annan and Hargreaves (2013), using improved models, data and methodology and our reconstruction has a global annual mean surface air temperature anomaly of −4.5 ± 0.9 °C relative to the pre-industrial climate. This is slightly colder than our previous estimate, with an upwards revision on its uncertainty due to methodological assumptions. It is, however, substantially less cold than the recent reconstruction of Tierney et al. (2020). We discuss the reasons for this discrepancy.

James Annan et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on cp-2022-12', Dan Lunt, 21 Feb 2022
    • AC1: 'Reply on CC1', James Annan, 10 Mar 2022
  • RC1: 'Comment on cp-2022-12', Anonymous Referee #1, 14 Mar 2022
  • RC2: 'Comment on cp-2022-12, by Jess Tierney', Jessica Tierney, 22 Mar 2022
    • AC2: 'Reply on RC2', James Annan, 11 May 2022
  • EC1: 'Comment on cp-2022-12', André Paul, 05 May 2022

James Annan et al.

James Annan et al.


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Short summary
We have created a new global surface temperature reconstruction of the climate of the Last Glacial Maximum, representing the period 19–23 thousand years before the present day. We find that the globally averaged mean temperature was roughly 4.5 degrees colder than it was in pre-industrial times, albeit there is significant uncertainty on this value.