2020
DOI: 10.1175/jcli-d-19-0304.1
|View full text |Cite
|
Sign up to set email alerts
|

Contributions of Internal Variability and External Forcing to the Recent Trends in the Southeastern Pacific and Peru–Chile Upwelling System

Abstract: In a warming world context, Sea Surface Temperature (SST) off central-south Peru, northern Chile and further offshore increases at a slower rate than the global average since several decades, i.e. cools, relative to the global average. This tendency is synchronous with an Interdecadal Pacific Oscillation (IPO) negative trend since ∼1980, which has a cooling signature in the southeastern Pacific. Here, we use a large ensemble of historical coupled model simulations to investigate the relative roles of internal … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
10
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 9 publications
(11 citation statements)
references
References 116 publications
(121 reference statements)
1
10
0
Order By: Relevance
“…Simulated forced changes in these two variability modes act on SWSA precipitation in the same direction and respond to the same components of external forcings. Both modes react more strongly to external forcing in DJF than in other seasons principally in response to the stratospheric ozone depletion and, in second place, to the GHGs, in agreement with previous studies (e.g., Polvani et al, 2011;Kim et al, 2017;Jebri et al, 2020). In the rest of the seasons, the ozone depletion effect is weaker and the GHG forcing prevails.…”
Section: Discussionsupporting
confidence: 91%
See 2 more Smart Citations
“…Simulated forced changes in these two variability modes act on SWSA precipitation in the same direction and respond to the same components of external forcings. Both modes react more strongly to external forcing in DJF than in other seasons principally in response to the stratospheric ozone depletion and, in second place, to the GHGs, in agreement with previous studies (e.g., Polvani et al, 2011;Kim et al, 2017;Jebri et al, 2020). In the rest of the seasons, the ozone depletion effect is weaker and the GHG forcing prevails.…”
Section: Discussionsupporting
confidence: 91%
“…During the positive (negative) phase, the IPO is characterized by an ENSO-like pattern of warm (cold) SST anomalies across the tropical Pacific, which extends in the subtropics over the eastern boundaries of the Pacific Ocean (Trenberth and Hurrell, 1994;Meehl et al, 2009). The IPO has experienced a trend from a positive (i.e., El Niño-like) to a negative (La Niña-like) phase over the 1980-2014 period associated with an anomalous southward shift and spin-up of the southeastern Pacific anticyclone (Jebri et al, 2020) and of the mid-latitudinal storm-tracks over SWSA during the rainy season (Quintana and Aceituno, 2012;Boisier et al, 2016Boisier et al, , 2018.Thus, the concurrent IPO shift from positive to negative phase might have contributed to the current prevailing SWSA dry conditions (Masiokas et al, 2010;Quintana and Aceituno, 2012;Boisier et al, 2016). However, during DJF and MAM seasons, rainfall interannual-to-decadal fluctuations are also significantly influenced by the dominant mode of atmospheric circulation variability in the mid-latitudes of the SH, the Southern Annual Mode (SAM), also known as the Antarctic Oscillation (Gong and Wang, 1999;.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…strengthening of the alongshore SST gradient) could have forced a coastal wind intensification, which in turn would force a coastal cooling. So, this may imply a negative feedback on the SST warming off the coast (Echevin et al, 2020) and a positive feedback on coastal upwelling under climate change. However the strength of these feedbacks remain to be investigated.…”
Section: Discussionmentioning
confidence: 99%
“…Using the ensemble mean of a large ensemble of coupled model simulations (e.g. 30) reduces the uncertainty caused by the low-frequency variability and highlights the impact of external greenhouse gas forcing (Jebri et al, 2020), even in the case of a relatively short integration period (e.g. ten years), regardless of the selected control period (Kawase et al, 2009).…”
Section: Historical and Climate Change Experimentsmentioning
confidence: 99%