Annual and seasonal mean tropical and subtropical precipitation bias in CMIP5 and CMIP6 models

J. L.F. Li, Kuan Man Xu, Mark Richardson, Wei Liang Lee, J. H. Jiang, Jia Yuh Yu, Yi Hui Wang, Eric Fetzer, Li Chiao Wang, Graeme Stephens, Hsin Chien Liang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Annual and seasonal mean tropical and subtropical precipitation biases in present-day climate simulations by phase 6 of the Coupled Model Intercomparison Project (CMIP6) models are evaluated. We analyze 23 CMIP6 models, which are grouped into those without (NOS) and with (SON) falling ice (snow) radiative effects (FIREs). The SON group is further divided according to treatments of ice-cloud radiative properties with separate (SON2) and combined cloud ice and snow contents (SON1). SON2 mitigates precipitation bias drastically relative to NOS, but SON1 overestimates precipitation in the subtropics, which deteriorates its performance relative to SON2 and NOS. Large offsets between SON2 and SON1 and between SON and NOS contribute to the slight improvement of CMIP6 relative to CMIP5, largely due to the contribution of SON2. The different treatments of ice-cloud radiative properties between SON2 and SON1 seem to be potentially linked to differences in precipitation biases. Results suggest that further in-depth investigation of cloud ice-radiation-circulation interactions is required.

Original languageEnglish
Article number124068
JournalEnvironmental Research Letters
Volume15
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • CMIP5
  • CMIP6
  • coupled GCM
  • falling ice radiative effects
  • tropical precipitation

Fingerprint

Dive into the research topics of 'Annual and seasonal mean tropical and subtropical precipitation bias in CMIP5 and CMIP6 models'. Together they form a unique fingerprint.

Cite this