The Atlantic Multidecadal Oscillation (AMO) is a climate phenomenon that can be observed in historical data and has potential connections to global synoptic climatic changes. The AMO can be used to predict climate patterns. This study examined how AMO-induced changes in the westerly jet stream over East Asia could affect the climatological distribution of weather patterns. Cluster analyses were conducted to determine how the AMO influences the frequency of cold surges in winter and typhoons in late summer for the period from 1941 to 2021. We observed inverse changes in the frequency of wintertime wave-train versus blocking cold surges during the negative AMO phase, the former increasing and the latter decreasing. This was associated with a southward shift of the upper-tropospheric westerly jet stream. Additionally, the southward shift of the westerly jet stream and a more pronounced wave pattern during late summer had a significant effect on the increase in the frequency of typhoons. These findings suggest that long-term predictions of East Asian synoptic climatology on an AMO timescale may be feasible.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jenvman.2024.123549 | DOI Listing |
Nat Commun
January 2025
School of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
The boreal summer circumglobal teleconnection (CGT) provides a primary predictability source for mid-latitude Northern Hemisphere climate anomalies and extreme events. Here, we show that the CGT's circulation structure has been displaced westward by half a wavelength since the late 1970s, more severely impacting heatwaves and droughts over East Europe, East Asia, and southwestern North America. We present empirical and modelling evidence of the essential role of El Niño-Southern Oscillation (ENSO) in shaping this change.
View Article and Find Full Text PDFSci Bull (Beijing)
December 2024
Alpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
The southeastern Tibetan Plateau (SETP) is the preeminent summer heavy precipitation region within the Tibetan Plateau (TP). However, the large-scale circulation types and dynamics driving summer heavy precipitation in the SETP remain inadequately elucidated. Using the hierarchical clustering method, two distinctive atmospheric circulation patterns associated with heavy precipitation were identified: the Tibetan Plateau vortex type (TPVT, constituting 56.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Sci Adv
October 2024
Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, New South Wales, Australia.
Mineral aerosols form a key component of Earth's dynamic biogeochemical systems, yet their composition and mass are variable in time. We reconstruct patterns in mineral aerosol flux from East Asia, the second largest global dust source, in a peat mire in northern Japan. Using geochemical fingerprinting, we show for the past ~3600 years that high but variable tephra flux dominated regional aerosol loads.
View Article and Find Full Text PDFSci Bull (Beijing)
January 2025
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disasters, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China; Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
In the Mei-yu region, there has been noticeable increase in the occurrence of compound hot drought (CHD) events in recent years. However, the underlying causes of these occurrences remain poorly understood. To address this knowledge gap, we conducted a comprehensive study utilizing observational datasets, reanalysis datasets, and four numerical experiments to investigate the associated physical mechanisms.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!