Update papers.bib

_bibliography/papers.bib

@@ -167,6 +167,20 @@ @article{hui_multiple_2023
 }
 
 
+@article{HUI2023111808,
+    title = {Middle Miocene evolution of East Asian summer monsoon precipitation in the northeast part of the Tibetan Plateau based on a quantitative analysis of palynological records},
+    journal = {Palaeogeography, Palaeoclimatology, Palaeoecology},
+    volume = {630},
+    pages = {111808},
+    year = {2023},
+    issn = {0031-0182},
+    doi = {10.1016/j.palaeo.2023.111808},
+    html = {https://www.sciencedirect.com/science/article/pii/S0031018223004261},
+    author = {Zhengchuang Hui and Xiao Wei and Zhendong Xue and Xuerong Zhao and Manuel Chevalier and Xue Lu and Jun Zhang and Tingjiang Peng and Yingyong Chen and Peng Chen},
+    keywords = {Sporopollen, Quantitative climate reconstructions, CREST, Middle Miocene, EASM precipitation, NE Tibetan Plateau},
+    abstract = {Characterized by elevated pCO2 levels and global warmth, the mid-Miocene climate is a valuable analogue for investigating how the East Asian Summer Monsoon (EASM) may evolve at different time scales. In this paper, we present a quantitative EASM precipitation record with a temporal resolution of ∼14 kyr during the mid-Miocene (∼15.97 to 13.64 Ma) by applying the probabilistic CREST (Climate Reconstruction Software) method to palynological records from the northeast part of the Tibetan Plateau. Reconstructed mid-Miocene EASM precipitation (∼860 mm) was almost twice that of today (∼450 mm), indicating much stronger EASM intensity. The reconstruction shows a gradual long-term decline on which was superimposed a stronger EASM period (∼15.97–14.54 Ma) followed by a relatively stable period (∼14.54–13.84 Ma) and a short period of reduced precipitation (∼13.84–13.64 Ma). The correspondence of EASM precipitation changes with the mid-Miocene climate optimum and west-east thermal gradients in equatorial Pacific suggests these two factors were the main driving forces for EASM evolution from ∼15.97 to 14.54 Ma, whereas the combined impact of global cooling and the northward shift of the Intertropical Convergence Zone is probably responsible for the slight decline of the EASM from ∼14.54 to 13.84 Ma. The weaker EASM between ∼13.84 and 13.64 Ma was most likely a response to the global significant cooling event Mi-3. On orbital time scales, the precipitation records exhibit a dominant ∼400 kyr periodicity, indicating EASM changes were mainly paced by eccentricity via the modulation of precessional amplitude, and the East Antarctic Ice Sheet variations were probably another important driving force.}
+}
+
 @article{herzschuh_regional_2023,
     abbr = {Open-Access},
     abstract = {A mismatch between model- and proxy-based Holocene climate change, known as the “Holocene conundrum”, may partially originate from the poor spatial coverage of climate reconstructions in, for example, Asia, limiting the number of grid cells for model–data comparisons. Here we investigate hemispheric, latitudinal, and regional mean time series and time-slice anomaly maps of pollen-based reconstructions of mean annual temperature, mean July temperature, and annual precipitation from 1908 records in the Northern Hemisphere extratropics. Temperature trends show strong latitudinal patterns and differ between (sub-)continents. While the circum-Atlantic regions in Europe and eastern North America show a pronounced Middle Holocene temperature maximum, western North America shows only weak changes, and Asia mostly shows a continuous Holocene temperature increase. Likewise, precipitation trends show certain regional peculiarities such as the pronounced Middle Holocene precipitation maximum between 40 and 50◦ N in Asia and Holocene increasing trends in Europe and western North America, which can all be linked with Holocene changes in the regional circulation pattern responding to temperature change. Given a background of strong regional heterogeneity, we conclude that the calculation of global or hemispheric means, which initiated the Holocene conundrum debate, should focus more on understanding the spatiotemporal patterns and their regional drivers.},