The Double‐ITCZ Bias in CMIP3, CMIP5, and CMIP6 Models Based on Annual Mean Precipitation

Baijun Tian; Xinyu Dong

doi:10.1029/2020gl087232

journal article Open Access Apr 18, 2020

The Double‐ITCZ Bias in CMIP3, CMIP5, and CMIP6 Models Based on Annual Mean Precipitation

Baijun Tian

Xinyu Dong

Geophysical Research Letters Vol. 47 No. 8 · American Geophysical Union (AGU)

View at Publisher Save 10.1029/2020gl087232

Abstract

AbstractThe double‐intertropical convergence zone (ITCZ) bias is one of the most outstanding errors in all previous generations of climate models. Here, the annual double‐ITCZ bias and the associated precipitation bias in the latest climate models for Coupled Model Intercomparison Project (CMIP) Phase 6 (CMIP6) are examined in comparison to their previous generations (CMIP Phase 3 [CMIP3] and CMIP Phase 5 [CMIP5]). All three generations of CMIP models share similar systematic annual multi‐model ensemble mean precipitation errors in the tropics. The notorious double‐ITCZ bias and its big inter‐model spread persist in CMIP3, CMIP5, and CMIP6 models. Based on several tropical precipitation bias indices, the double‐ITCZ bias is slightly reduced from CMIP3 or CMIP5 to CMIP6. In addition, the annual equatorial Pacific cold tongue persists in all three generations of CMIP models, but its inter‐model spread is reduced from CMIP3 to CMIP5 and from CMIP5 to CMIP6.

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Metrics

256

Citations

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References

Details

Published: Apr 18, 2020
Vol/Issue: 47(8)
License: View

Authors

B

Baijun Tian

Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

X

Xinyu Dong

Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA

Funding

National Aeronautics and Space Administration

Cite This Article

Baijun Tian, Xinyu Dong (2020). The Double‐ITCZ Bias in CMIP3, CMIP5, and CMIP6 Models Based on Annual Mean Precipitation. Geophysical Research Letters, 47(8). https://doi.org/10.1029/2020gl087232

The Double‐ITCZ Bias in CMIP3, CMIP5, and CMIP6 Models Based on Annual Mean Precipitation

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