posted on 2023-05-20, 04:16authored byJules 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