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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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Using Generative Art to Convey Past and Future Climate Transitions
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Historical and future maximum sea surface temperatures.

B B Cael1, Friedrich A Burger2,3, Stephanie A Henson1

  • 1National Oceanography Centre, Southampton, UK.

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|January 26, 2024
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This summary is machine-generated.

Marine heat waves are increasing. This study validates Earth system models using satellite data, confirming their reliability in projecting future marine heat waves and ocean warming trends.

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Area of Science:

  • Oceanography
  • Climate Science
  • Extreme Weather Events

Background:

  • Marine heat waves (MHWs) significantly impact ocean ecosystems.
  • MHWs are projected to increase in frequency and intensity.
  • The accuracy of Earth system models in simulating MHWs is uncertain.

Purpose of the Study:

  • To quantitatively assess the ability of Earth system models to reproduce observed extreme sea surface temperature (SST) statistics.
  • To build confidence in future MHW projections by validating model performance against satellite observations.
  • To quantify projected changes in maximum ocean temperatures.

Main Methods:

  • Utilized 39 years of global satellite observations of daily mean SST anomalies.
  • Applied the generalized extreme value distribution to analyze annual maxima of detrended SST anomalies.
  • Compared the observed SST extreme value distribution with historical simulations from 14 Coupled Model Intercomparison Project Phase 6 (CMIP6) models.

Main Results:

  • Observed detrended SST anomalies align well with the generalized extreme value distribution.
  • CMIP6 models successfully reproduced the observed distribution and spatial patterns of SST extremes.
  • Projected increases in maximum ocean temperatures are 1.07° ± 0.17°C (2°C warming) and 2.04° ± 0.18°C (3.2°C warming).

Conclusions:

  • The study validates the reliability of CMIP6 models for projecting MHWs.
  • Increases in maximum ocean temperatures are primarily driven by rising mean SSTs, with a minor contribution from altered SST seasonality.
  • This research provides crucial quantitative insights into ocean temperature extremes and enhances confidence in climate model predictions of MHWs.