Improvements and persistent biases in the southeast tropical Atlantic in CMIP 
models

Farneti, Riccardo; Stiz, Alessandro; Ssebandeke, John

doi:10.1038/s41612-022-00264-4

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Improvements and persistent biases in the southeast tropical Atlantic in CMIP models

MPS-Authors

/persons/resource/persons290589

Ssebandeke, John
Climate Energetics, Department Climate Variability, MPI for Meteorology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

npj-s41612-022-00264-4.pdf
(Publisher version), 3MB

Supplementary Material (public)

npj-41612_2022_264_MOESM1_ESM.pdf
(Supplementary material), 2MB

Citation

Farneti, R., Stiz, A., & Ssebandeke, J. (2022). Improvements and persistent biases in the southeast tropical Atlantic in CMIP models. npj Climate and Atmospheric Science, 5: 42. doi:10.1038/s41612-022-00264-4.

Cite as: https://hdl.handle.net/21.11116/0000-000A-8321-C

Abstract

State-of-the-art climate models simulate warmer than observed sea surface temperatures (SST) in eastern boundary upwelling systems (EBUS), generating biases with profound implications for the simulation of present-day climate and its future projections. Amongst all EBUS, the bias is largest in the southeastern tropical Atlantic (SETA). Here, we provide a comprehensive evaluation of the performance in the SETA of the Coupled Model Intercomparison Project phase 6 (CMIP6), including fine resolution (HighResMIP) and ocean-forced (OMIP) models. We show that biases in the SETA remain large in CMIP6 models but are reduced in HighResMIP, with OMIP models giving the best performance. The analysis suggests that, once local forcing errors have been reduced, the major source of the SETA biases lies in the equatorial Atlantic. This study shows that finer model resolution has helped reduce the local origin of the SETA SST bias but further developments of model physics schemes will be required to make progress.