Preprints
https://doi.org/10.5194/egusphere-2022-134
https://doi.org/10.5194/egusphere-2022-134
 
28 Apr 2022
28 Apr 2022
Status: this preprint is open for discussion.

Climate projections from IPCC models and regression models: A comparison

Umberto Triacca Umberto Triacca
  • Department of Computer Engineering, Computer Science and Mathematics, University of L’Aquila, Via Vetoio I-67010 Coppito, L’Aquila, Italy

Abstract. In this paper, we show that the projected global temperature change from CMIP5 models is remarkably similar to that obtained using simple regression models relating the global temperature to the atmospheric concentrations of CO2. This result is strengthened when we consider the projections obtained using the CMIP6 models.

Umberto Triacca

Status: open (until 23 Jun 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-134', Anonymous Referee #1, 16 May 2022 reply

Umberto Triacca

Umberto Triacca

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Short summary
In this paper, I show that the projected global temperature change from CMIP5 and CMIP6 models is remarkably similar to that obtained using simple linear regression models relating the global temperature to the atmospheric concentrations of CO2. I believe that this result is very interesting and should spur additional debate about the suitability of GCMs.