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Updated: Nov 11, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Natural variability contributes to model-satellite differences in tropical tropospheric warming.
Stephen Po-Chedley1, Benjamin D Santer2, Stephan Fueglistaler3,4
1Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550; pochedley1@llnl.gov.
Climate models often overestimate tropical midtroposphere warming compared to satellite data. Natural climate variability, particularly sea-surface temperature patterns, can explain these discrepancies on decadal timescales.
Area of Science:
- Climate Science
- Atmospheric Science
- Oceanography
Background:
- General circulation models (GCMs) exhibit a persistent discrepancy with satellite observations regarding tropical midtroposphere temperature (TMT) trends.
- GCMs simulate TMT warming at roughly double the rate observed from 1979-2018.
Purpose of the Study:
- To investigate the causes of the discrepancy between GCMs and satellite-observed tropical TMT trends.
- To assess the role of natural climate variability and Coupled Model Intercomparison Project Phase 6 (CMIP6) models in explaining this difference.
Main Methods:
- Analysis of a large ensemble of climate model simulations from a single GCM.
- Comparison of simulated tropical TMT trends (1979-2018) with satellite observations.
- Assessment of CMIP6 model simulations and their relationship with sea-surface temperature patterns.
Main Results:
- A subset of GCM simulations showed tropical TMT trends within the range of satellite observations.
- Subdued sea-surface warming in the tropical central and eastern Pacific correlated with reduced tropical TMT trends, mirroring observed patterns.
- 13% of CMIP6 model realizations and 25% of global average simulations aligned with observed TMT trends, irrespective of climate sensitivity.
Conclusions:
- Multidecadal natural climate variability significantly influences tropical TMT trends, reconciling model- GCM and satellite data discrepancies.
- The magnitude of tropical tropospheric warming is not solely determined by climate sensitivity.
- Natural variability is crucial for understanding differences between observed and simulated tropospheric warming on 40-year timescales.
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