University of Tasmania
Browse
Kajtar_et_al_2018.pdf (6.32 MB)

Model under-representation of decadal Pacific trade wind trends and its link to tropical Atlantic bias

Download (6.32 MB)
journal contribution
posted on 2023-05-20, 04:16 authored by Jules KajtarJules Kajtar, Santoso, A, McGregor, S, England, MH, Baillie, Z
The strengthening of the Pacific trade winds in recent decades has been unmatched in the observational record stretching back to the early twentieth century. This wind strengthening has been connected with numerous climate-related phenomena, including accelerated sea-level rise in the western Pacific, alterations to Indo-Pacific ocean currents, increased ocean heat uptake, and a slow-down in the rate of global-mean surface warming. Here we show that models in the Coupled Model Intercomparison Project phase 5 underestimate the observed range of decadal trends in the Pacific trade winds, despite capturing the range in decadal sea surface temperature (SST) variability. Analysis of observational data suggests that tropical Atlantic SST contributes considerably to the Pacific trade wind trends, whereas the Atlantic feedback in coupled models is muted. Atmosphere-only simulations forced by observed SST are capable of recovering the time-variation and the magnitude of the trade wind trends. Hence, we explore whether it is the biases in the mean or in the anomalous SST patterns that are responsible for the under-representation in fully coupled models. Over interannual time-scales, we find that model biases in the patterns of Atlantic SST anomalies are the strongest source of error in the precipitation and atmospheric circulation response. In contrast, on decadal time-scales, the magnitude of the model biases in Atlantic mean SST are directly linked with the trade wind variability response.

History

Publication title

Climate Dynamics

Volume

50

Issue

3-4

Pagination

1471-1484

ISSN

0930-7575

Department/School

Institute for Marine and Antarctic Studies

Publisher

Springer-Verlag

Place of publication

175 Fifth Ave, New York, USA, Ny, 10010

Rights statement

Copyright 2017 Springer-Verlag Berlin Heidelberg. This is a post-peer-review, pre-copyedit version of an article published in Climate Dynamics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00382-017-3699-5

Repository Status

  • Open

Socio-economic Objectives

Atmospheric processes and dynamics

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC