Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 35 min ago
PreprintCC BY 4.0EarthArXiv

Robust warming rates, marginal evidence of acceleration and unstable extrapolation: a reproducible reanalysis of statistical trend models for the Berkeley Earth global temperature record

Abstract

Simple trend fits to the global temperature record are widely used to summarise warming, but their uncertainty, their evidence for acceleration and their predictive value are often overstated. We re-analysed an earlier linear and quadratic analysis of the Berkeley Earth Land/Ocean record (1850–2024) that reported in-sample R² values of 0.74 and 0.90 and a post-1970 warming rate of 0.194 °C per decade. The original results reproduced exactly, but the parser averaged the two sea-ice versions contained in the data file, lowering recent anomalies by about 0.06 °C. With the recommended version, the 1970–2024 rate is 0.206 ± 0.022 °C per decade (95%, AR(1)-adjusted), consistent across HAC, GLS and monthly ARMA(1,1) estimates and with NASA GISTEMP (0.199) and HadCRUT5 (0.202). Berkeley Earth's observational uncertainty and individual warm years change this rate by less than 0.015 °C per decade; the choice of start and end years matters more. A continuous hinge fitted to 1970–2024 places a rate increase of 0.176 °C per decade in 2013, but a sup-F test with a simulated AR(1) null gives p = 0.064; p was at least 0.23 for every end year from 2000 to 2023, and fixing the break at 2010 after inspecting the data gives a misleading nominal p = 0.006. With current noise levels, increases below about 0.20 °C per decade beginning in 2010 are not reliably detectable by 2024. In rolling-origin retrospective forecasts, every method under-predicted later warming and nominal 90% intervals from the quadratic and 30-year linear trends covered only 0.38–0.53 of 30-year outcomes. The quadratic's extrapolated 2100 anomaly ranged from 1.58 to 3.69 °C depending on the last year fitted, and from 1.16 to 16.43 °C across polynomial degrees 1–5. Trend fits describe the observed record well but provide no defensible long-range forecast.

Related

  1. Detecting acceleration in global mean temperature using supralinear trends
    J Eduardo Vera-Valdés
    Environmental Research LettersPeer-reviewedCC BY 4.0Full textClimate scienceIOP/AASCrossref
  2. A Statistical Analysis of Multi-Decadal Trends in Temperature, Precipitation and Drought Indices in Eastern and Southeastern Kazakhstan Between 1981 and 2023
    Yerbolat Mukanov, Ranida Arystanova, Jay Sagin +7
    AgronomyPeer-reviewedCC BY5 citedClimate scienceOpenAlex
  3. Self-supervised temporal reconstruction of reanalysis fields at subhourly scales
    Liwen Wang, Qian Li, Zeming Zhou +6
    Communications Earth & EnvironmentPeer-reviewedCC BY 4.0General earth scienceNatureCrossref
  4. Satellites and Reanalysis Reveal the Dominance of Dynamics over Precipitation in Marine Cold-Air Outbreak Cloud Break-Up
    Filip Severin von der Lippe, Tim Carlsen, Trude Storelvmo +1
    EGUspherePreprintCC BY 4.0General earth scienceEGUsphere
  5. All-weather lake-ice phenology from Sentinel-1 and reanalysis thermodynamics: a validated, transferable method applied to 131 Adirondack lakes
    Marzi Azarderakhsh, Samuel Tuttle, Madhushree Munsi +5
    EGUspherePreprintCC BY 4.0General earth scienceEGUsphere
BibTeX
@misc{mestry2026robust,
  title = {{Robust warming rates, marginal evidence of acceleration and unstable extrapolation: a reproducible reanalysis of statistical trend models for the Berkeley Earth global temperature record}},
  author = {Arav Siddharth Mestry},
  howpublished = {EarthArXiv},
  year = {2026},
  month = oct,
  doi = {10.31223/x5c529},
  url = {https://eartharxiv.org/repository/view/15639/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Robust warming rates, marginal evidence of acceleration and unstable extrapolation: a reproducible reanalysis of statistical trend models for the Berkeley Earth global temperature record
AU  - Arav Siddharth Mestry
PY  - 2026
DA  - 2026/10/21
PB  - EarthArXiv
DO  - 10.31223/x5c529
UR  - https://eartharxiv.org/repository/view/15639/
AB  - Simple trend fits to the global temperature record are widely used to summarise warming, but their uncertainty, their evidence for acceleration and their predictive value are often overstated. We re-analysed an earlier linear and quadratic analysis of the Berkeley Earth Land/Ocean record (1850–2024) that reported in-sample R² values of 0.74 and 0.90 and a post-1970 warming rate of 0.194 °C per decade. The original results reproduced exactly, but the parser averaged the two sea-ice versions contained in the data file, lowering recent anomalies by about 0.06 °C. With the recommended version, the 1970–2024 rate is 0.206 ± 0.022 °C per decade (95%, AR(1)-adjusted), consistent across HAC, GLS and monthly ARMA(1,1) estimates and with NASA GISTEMP (0.199) and HadCRUT5 (0.202). Berkeley Earth's observational uncertainty and individual warm years change this rate by less than 0.015 °C per decade; the choice of start and end years matters more. A continuous hinge fitted to 1970–2024 places a rate increase of 0.176 °C per decade in 2013, but a sup-F test with a simulated AR(1) null gives p = 0.064; p was at least 0.23 for every end year from 2000 to 2023, and fixing the break at 2010 after inspecting the data gives a misleading nominal p = 0.006. With current noise levels, increases below about 0.20 °C per decade beginning in 2010 are not reliably detectable by 2024. In rolling-origin retrospective forecasts, every method under-predicted later warming and nominal 90% intervals from the quadratic and 30-year linear trends covered only 0.38–0.53 of 30-year outcomes. The quadratic's extrapolated 2100 anomaly ranged from 1.58 to 3.69 °C depending on the last year fitted, and from 1.16 to 16.43 °C across polynomial degrees 1–5. Trend fits describe the observed record well but provide no defensible long-range forecast.
ER  -