2023
DOI: 10.1029/2023jg007490
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Monthly Precipitation Reconstruction in Subtropical South America Using Seasonal Tree‐Ring Oxygen Isotopes

Sainan Liu,
Chenxi Xu,
Cláudia Fontana
et al.

Abstract: The South American Summer Monsoon (SASM) is one of the most important climate systems in the tropical and subtropical regions of South America, and transports Atlantic moisture to the South American continent. However, there are few high‐resolution tree ring based studies of the SASM due to the difficulty of crossdating and the lack of dependable moisture proxies based on tree‐ring width. In this study, we use intra‐annual tree‐ring oxygen isotope (δ18OTR) data (E.V.A 03w, E.V.Ar11e, E.V.Ar12e; the full name o… Show more

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Cited by 1 publication
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“…Previous studies showed that a lower temperature and higher rainfall are associated with El Niño events and vice versa for La Niña events [17][18][19][20]. Dendrochronological analyses (i.e., tree ring studies) serve as important tools that can be used to investigate the influence of climatic forces on tree growth [27][28][29][30][31][32][33] and are widely used for climatic reconstructions in many regions [34][35][36][37][38][39], particularly Asia [40][41][42][43][44][45][46]. The understanding of Thai tree-growth dynamics has been limited in space and time due to the scarcity of long-term tree-growth data (e.g., [47]).…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies showed that a lower temperature and higher rainfall are associated with El Niño events and vice versa for La Niña events [17][18][19][20]. Dendrochronological analyses (i.e., tree ring studies) serve as important tools that can be used to investigate the influence of climatic forces on tree growth [27][28][29][30][31][32][33] and are widely used for climatic reconstructions in many regions [34][35][36][37][38][39], particularly Asia [40][41][42][43][44][45][46]. The understanding of Thai tree-growth dynamics has been limited in space and time due to the scarcity of long-term tree-growth data (e.g., [47]).…”
Section: Introductionmentioning
confidence: 99%