2024 global temperature record is consistent with model-predicted warming

M Michael E. Mann B Byron A. Steinman (Department of Earth and Environmental Sciences and Large Lakes Observatory, University of Minnesota Duluth) A Alejandro Fernandez (Department of Earth and Environmental Sciences, University of Minnesota) S Shannon A. Christiansen (Department of Earth and Environmental Science, University of Pennsylvania) X Xueke Li (Department of Earth and Environmental Science, University of Pennsylvania)

Abstract

We employ a semiempirical approach combining climate model simulations and observational temperatures to assess the likelihood of recent global temperature records. Monte Carlo simulations are used to generate global temperature series consistent with combined estimates of forced (anthropogenic + natural) and internal variability derived from observations and CMIP6 multimodel simulations. We find that the El Niño-boosted 2024 global temperature record had a ~12% likelihood of occurrence (a one-in-eight-year event), similar to the prior (also El Niño-boosted) record year 2016 (~14% likelihood). Of the records set during the past three decades, only 1998 is found to have been truly anomalous, with a ~2.5% likelihood of occurrence. Each of these records is found to have been nearly impossible in the absence of human-caused warming.

Article Details

Volume / Issue Vol. 123, Issue 20
Published May 19, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (5)

M

Michael E. Mann

B

Byron A. Steinman

Department of Earth and Environmental Sciences and Large Lakes Observatory, University of Minnesota Duluth

A

Alejandro Fernandez

Department of Earth and Environmental Sciences, University of Minnesota

S

Shannon A. Christiansen

Department of Earth and Environmental Science, University of Pennsylvania

X

Xueke Li

Department of Earth and Environmental Science, University of Pennsylvania