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South American monsoon intensification during the last millennium driven by joint Pacific and Atlantic forcing. | LitMetric

AI Article Synopsis

  • - The South American summer monsoon (SASM) significantly affects the climate in tropical South America, but its variability over long periods has been hard to understand and sometimes shows conflicting results in current climate models and data.
  • - A new study utilized a paleoclimate data assimilation method that merged model findings with oxygen isotope data to create a detailed reconstruction of the region's summer hydroclimate over the last millennium, at a resolution of five years.
  • - The researchers found that there was a notable intensification of the SASM during the transition from the Medieval Climate Anomaly to the Little Ice Age, linked to shifts in major atmospheric circulation patterns that need to be accurately modeled for future climate predictions.

Article Abstract

The South American summer monsoon (SASM) profoundly influences tropical South America's climate, yet understanding its low-frequency variability has been challenging. Climate models and oxygen isotope data have been used to examine the SASM variability over the last millennium (LM) but have, at times, provided conflicting findings, especially regarding its mean-state change from the Medieval Climate Anomaly to the Little Ice Age. Here, we use a paleoclimate data assimilation (DA) method, combining model results and δO observations, to produce a δO-enabled, dynamically coherent, and spatiotemporally complete austral summer hydroclimate reconstruction over the LM for tropical South America at 5-year resolution. This reconstruction aligns with independent hydroclimate and δO records withheld from the DA, revealing a centennial-scale SASM intensification during the MCA-LIA transition period, associated with the southward shift of the Atlantic Intertropical Convergence Zone and the strengthening Pacific Walker circulation (PWC). This highlights the necessity of accurately representing the PWC in climate models to predict future SASM changes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414733PMC
http://dx.doi.org/10.1126/sciadv.ado9543DOI Listing

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