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Chenxi Xu

Bio: Chenxi Xu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Monsoon & Geology. The author has an hindex of 15, co-authored 37 publications receiving 969 citations. Previous affiliations of Chenxi Xu include Nagoya University & Chinese Ministry of Education.


Papers
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Journal ArticleDOI
Julien Emile-Geay1, Nicholas P. McKay2, Darrell S. Kaufman2, Lucien von Gunten, Jianghao Wang3, Kevin J. Anchukaitis4, Nerilie J. Abram5, Jason A. Addison6, Mark A. J. Curran7, Mark A. J. Curran8, Michael N. Evans9, Benjamin J. Henley10, Zhixin Hao, Belen Martrat11, Belen Martrat12, Helen McGregor13, Raphael Neukom14, Gregory T. Pederson6, Barbara Stenni15, Kaustubh Thirumalai16, Johannes P. Werner17, Chenxi Xu18, Dmitry Divine19, Bronwyn C. Dixon10, Joelle Gergis10, Ignacio A. Mundo20, Takeshi Nakatsuka, Steven J. Phipps7, Cody C. Routson2, Eric J. Steig21, Jessica E. Tierney4, Jonathan J. Tyler22, Kathryn Allen10, Nancy A. N. Bertler23, Jesper Björklund24, Brian M. Chase25, Min Te Chen26, Edward R. Cook27, Rixt de Jong14, Kristine L. DeLong28, Daniel A. Dixon29, Alexey A. Ekaykin30, Alexey A. Ekaykin31, Vasile Ersek32, Helena L. Filipsson33, Pierre Francus34, Mandy Freund10, Massimo Frezzotti, Narayan Prasad Gaire35, Narayan Prasad Gaire36, Konrad Gajewski37, Quansheng Ge, Hugues Goosse38, Anastasia Gornostaeva, Martin Grosjean14, Kazuho Horiuchi39, Anne Hormes40, Katrine Husum19, Elisabeth Isaksson19, Selvaraj Kandasamy41, Kenji Kawamura42, Kenji Kawamura43, K. Halimeda Kilbourne9, Nalan Koc19, Guillaume Leduc44, Hans W. Linderholm40, Andrew Lorrey45, Vladimir Mikhalenko46, P. Graham Mortyn47, Hideaki Motoyama43, Andrew D. Moy8, Andrew D. Moy7, Robert Mulvaney48, Philipp Munz49, David J. Nash50, David J. Nash51, Hans Oerter52, Thomas Opel52, Anais Orsi53, Dmitriy V. Ovchinnikov54, Trevor J. Porter55, Heidi A. Roop56, Casey Saenger21, Masaki Sano, David J. Sauchyn38, Krystyna M. Saunders57, Krystyna M. Saunders14, Marit-Solveig Seidenkrantz58, Mirko Severi59, Xuemei Shao, Marie-Alexandrine Sicre60, Michael Sigl61, Kate E. Sinclair, Scott St. George62, Jeannine-Marie St. Jacques63, Jeannine-Marie St. Jacques64, Meloth Thamban65, Udya Kuwar Thapa62, Elizabeth R. Thomas48, Chris S. M. Turney66, Ryu Uemura67, A. E. Viau37, Diana Vladimirova31, Diana Vladimirova30, Eugene R. Wahl68, James W. C. White69, Zicheng Yu70, Jens Zinke71, Jens Zinke72 
University of Southern California1, Northern Arizona University2, MathWorks3, University of Arizona4, Australian National University5, United States Geological Survey6, University of Tasmania7, Australian Antarctic Division8, University of Maryland, College Park9, University of Melbourne10, University of Cambridge11, Spanish National Research Council12, University of Wollongong13, University of Bern14, Ca' Foscari University of Venice15, University of Texas at Austin16, University of Bergen17, Chinese Academy of Sciences18, Norwegian Polar Institute19, National University of Cuyo20, University of Washington21, University of Adelaide22, Victoria University of Wellington23, Swiss Federal Institute for Forest, Snow and Landscape Research24, University of Montpellier25, National Taiwan Ocean University26, Columbia University27, Louisiana State University28, University of Maine29, Saint Petersburg State University30, Arctic and Antarctic Research Institute31, Northumbria University32, Lund University33, Institut national de la recherche scientifique34, Nepal Academy of Science and Technology35, Tribhuvan University36, University of Ottawa37, Université catholique de Louvain38, Hirosaki University39, University of Gothenburg40, Xiamen University41, Japan Agency for Marine-Earth Science and Technology42, National Institute of Polar Research43, Aix-Marseille University44, National Institute of Water and Atmospheric Research45, Russian Academy of Sciences46, Autonomous University of Barcelona47, British Antarctic Survey48, University of Tübingen49, University of the Witwatersrand50, University of Brighton51, Alfred Wegener Institute for Polar and Marine Research52, Université Paris-Saclay53, Sukachev Institute of Forest54, University of Toronto55, University at Buffalo56, Australian Nuclear Science and Technology Organisation57, Aarhus University58, University of Florence59, Pierre-and-Marie-Curie University60, Paul Scherrer Institute61, University of Minnesota62, Concordia University63, University of Regina64, National Centre for Antarctic and Ocean Research65, University of New South Wales66, University of the Ryukyus67, National Oceanic and Atmospheric Administration68, University of Colorado Boulder69, Lehigh University70, Australian Institute of Marine Science71, Free University of Berlin72
TL;DR: A community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative, suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.
Abstract: Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850–2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.

260 citations

Journal ArticleDOI
TL;DR: In this article, a tree ring δ18O chronology is developed for the past 300 years (1705-2004) using 6 cypress trees from northern Vietnam to reconstruct long-term hydroclimatic variations in the summer monsoon season.
Abstract: [1] A tree ring δ18O chronology is developed for the past 300 years (1705–2004) using 6 cypress trees from northern Vietnam to reconstruct long-term hydroclimatic variations in the summer monsoon season. To the best of our knowledge, this is the first well-replicated tree ringδ18O chronology from Southeast Asia, as well as the longest yet produced. Response analyses reveal that tree ring δ18O is significantly correlated with temperature, precipitation, and the Palmer Drought Severity Index (PDSI) during the period May–October, with highest correlation to the PDSI. Our δ18O chronology accounts for 44% of the PDSI variance, and is in good agreement with a 52-year tree ringδ18O chronology from northern Laos (r = 0.77), indicating that regional hydroclimatic signals are well recorded in the δ18O data. Spatial correlation analyses with global sea surface temperatures suggest that the tropical Pacific plays an important role in modulating hydroclimate over the study region. Further, the δ18O chronology correlates significantly with El Nino–Southern Oscillation (ENSO)-related indices, and is therefore used to reconstruct the annual Multivariate ENSO Index. Because previously published ENSO reconstructions are based mainly on proxy records originating from North America and/or the tropical Pacific, the future development of a tree ringδ18O network from mainland Southeast Asia could lead to an independent and more robust reconstruction of ENSO variability.

98 citations

Journal ArticleDOI
TL;DR: A tree ring cellulose δ18O chronology of Fokienia hodginsii from 1951 to 2002 is established by four cores from four different trees to explore its potential for reconstructing climatic variations in northern Laos as discussed by the authors.
Abstract: [1] A tree ring cellulose δ18O chronology of Fokienia hodginsii from 1951 to 2002 is established by four cores from four different trees to explore its potential for reconstructing climatic variations in northern Laos This chronology is the first tree ring δ18O chronology from Laos as well as the first for this species We compare variations of tree ring cellulose δ18O and ring width between cores The results suggest that the δ18O time series are more strongly correlated between different trees than ring width time series are In addition, correlation analysis shows a significantly negative correlation between tree ring cellulose δ18O and the May–October Palmer Drought Severity Index (PDSI), while the tree ring width indices have a poor correlation with PDSI The spatial correlation analysis between tree ring cellulose δ18O and global sea surface temperature and the time series correlation analysis between tree ring cellulose δ18O and the Multivariate El Nino-Southern Oscillation (ENSO) Index (MEI) during the investigated period (1951–2002) reveal that ENSO has an important effect on tree ring celluloseδ18O in Laos Our results indicate that the tree ring cellulose δ18O of Fokienia hodginsii is a promising proxy to reconstruct PDSI in Southeast Asian countries, such as Laos, and to discuss their teleconnections with global atmospheric circulations such as ENSO

92 citations

Journal ArticleDOI
TL;DR: In this paper, a 50-year tree ring δ18O chronology for each of three tree species (Juniperus indica, Larix griffithii, and Picea spinulosa) using a total of 12 trees (four trees per species) from the Bhutan Himalaya was developed.
Abstract: [1] We developed a 50-year tree ring δ18O chronology for each of three tree species (Juniperus indica, Larix griffithii, and Picea spinulosa) using a total of 12 trees (four trees per species) from the Bhutan Himalaya. Despite originating from different species sampled at two different altitudes, the δ18O chronologies are highly correlated with one another (r = 0.76–0.89). Response analyses reveal that tree ring δ18O values are controlled mainly by summer precipitation, irrespective of species. Based on these results, a robust 269-year δ18O chronology was established to reconstruct the amount of May–September precipitation based on data from four larch trees. Our tree ring δ18O data show significant correlations with those from other regions of the Himalaya and the Tibetan Plateau, indicating that common signals related to monsoon activity are recorded in the data. However, at centennial timescales, our data from Bhutan show normal conditions during the 20th century, whereas records from sites in western Nepal and the southern/eastern Tibetan Plateau show weakening trends in monsoon intensity during the last 100–200 years; the weakening trends may be the result of a reduction in the meridional sea surface temperature gradient in the Indian Ocean during this time. At continental scales, the tree ring records show that areas more from ocean basins are particularly sensitive to reduced monsoon circulation. Correlation analyses suggest that the El Nino–Southern Oscillation (ENSO) plays an important role in modulating summer precipitation. However, the teleconnected relationship disappears during the period 1951–1970, coinciding with a negative phase of the Pacific Decadal Oscillation (PDO), implying interdecadal modulation of the PDO on the influence of the ENSO on precipitation in Bhutan.

90 citations

Journal ArticleDOI
TL;DR: In this paper, the authors constructed a regional tree-ring cellulose oxygen isotope (δ18O) record for the northern Indian sub-continent based on two new records from northern India and central Nepal and three published records from northwestern India, western Nepal and Bhutan.
Abstract: . We have constructed a regional tree-ring cellulose oxygen isotope (δ18O) record for the northern Indian sub-continent based on two new records from northern India and central Nepal and three published records from northwestern India, western Nepal and Bhutan. The record spans the common interval from 1743 to 2008 CE. Correlation analysis reveals that the record is significantly and negatively correlated with the three regional climatic indices: all India rainfall (AIR; r = −0.5, p

76 citations


Cited by
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01 Dec 2013
TL;DR: This paper found that the most intensive glacier shrinkage is in the Himalayan region, whereas glacial retreat in the Pamir Plateau region is less apparent, due to changes in atmospheric circulations and precipitation patterns.
Abstract: Glacial melting in the Tibetan Plateau affects the water resources of millions of people. This study finds that—partly owing to changes in atmospheric circulations and precipitation patterns—the most intensive glacier shrinkage is in the Himalayan region, whereas glacial retreat in the Pamir Plateau region is less apparent.

1,599 citations

01 Apr 2012
TL;DR: This article used a series of climate model experiments to investigate the South Asian monsoon response to natural and anthropogenic forcings, and found that the observed precipitation decrease can be attributed mainly to human-influenced aerosol emissions.
Abstract: Changes in monsoon rainfall are caused by human-produced aerosols slowing the tropical atmospheric circulation. Observations show that South Asia underwent a widespread summertime drying during the second half of the 20th century, but it is unclear whether this trend was due to natural variations or human activities. We used a series of climate model experiments to investigate the South Asian monsoon response to natural and anthropogenic forcings. We find that the observed precipitation decrease can be attributed mainly to human-influenced aerosol emissions. The drying is a robust outcome of a slowdown of the tropical meridional overturning circulation, which compensates for the aerosol-induced energy imbalance between the Northern and Southern Hemispheres. These results provide compelling evidence of the prominent role of aerosols in shaping regional climate change over South Asia.

752 citations

01 Jan 2016
TL;DR: A statistical methods for environmental pollution monitoring always becomes the most wanted book and many people are absolutely searching for this book as mentioned in this paper, which means that many love to read this kind of book.
Abstract: If you really want to be smarter, reading can be one of the lots ways to evoke and realize. Many people who like reading will have more knowledge and experiences. Reading can be a way to gain information from economics, politics, science, fiction, literature, religion, and many others. As one of the part of book categories, statistical methods for environmental pollution monitoring always becomes the most wanted book. Many people are absolutely searching for this book. It means that many love to read this kind of book.

624 citations

Journal ArticleDOI
TL;DR: A new spatially resolved warm-season (May-September) temperature reconstruction for the period 1–2000 CE using 59 multiproxy records from a wide range of East Asian regions shows good agreement and an important role of internal variability and external forcing on multi-decadal time-scales.
Abstract: East Asia has experienced strong warming since the 1960s accompanied by an increased frequency of heat waves and shrinking glaciers over the Tibetan Plateau and the Tien Shan. Here, we place the recent warmth in a long-term perspective by presenting a new spatially resolved warm-season (May-September) temperature reconstruction for the period 1–2000 CE using 59 multiproxy records from a wide range of East Asian regions. Our Bayesian Hierarchical Model (BHM) based reconstructions generally agree with earlier shorter regional temperature reconstructions but are more stable due to additional temperature sensitive proxies. We find a rather warm period during the first two centuries CE, followed by a multi-century long cooling period and again a warm interval covering the 900–1200 CE period (Medieval Climate Anomaly, MCA). The interval from 1450 to 1850 CE (Little Ice Age, LIA) was characterized by cooler conditions and the last 150 years are characterized by a continuous warming until recent times. Our results also suggest that the 1990s were likely the warmest decade in at least 1200 years. The comparison between an ensemble of climate model simulations and our summer reconstructions since 850 CE shows good agreement and an important role of internal variability and external forcing on multi-decadal time-scales.

423 citations

Journal ArticleDOI
TL;DR: In this paper, an analysis of the relationship between the time series of amount-weighted mean annual δ18O in precipitation and meteorological variables such as temperature, precipitation as well as atmospheric/oceanic circulation indices is presented.
Abstract: Inter-annual variation in the ratio of 18O to 16O of precipitation (δ18Op) in the monsoon regions of China (MRC, area approximately east of 100°E) has not yet been fully analyzed. Based on an analysis of the relationships between the time series of amount-weighted mean annual δ18O in precipitation (δ18Ow) and meteorological variables such as temperature, precipitation as well as atmospheric/oceanic circulation indices, it is recognized that the El Nino-Southern Oscillation (ENSO) cycle appears to be the dominant control on the inter-annual variation in δ18Op in the MRC. Further analysis shows that the trade wind plays a role in governing δ18Ow through affecting the intensity of the different summer monsoon circulations which are closely linked to the weakening (weaker than normal) and strengthening (stronger than normal) of the trade wind and gives the δ18Ow different values at or over inter-annual timescales. The southwest monsoon (SWM) drives long-distance transport of water vapor from Indian Ocean to the MRC, and along this pathway increasing rainout leads to more negative δ18Ow via Rayleigh distillation processes. In contrast, the southeast monsoon (SEM), which is consistent with the changes in the strength of the West Pacific subtropical high, drives short-distance water vapor transport from the West Pacific Ocean to the MRC and leads to less negative δ18Ow. Therefore, the δ18Ow value directly reflects the differences in influence between the SWM, which is strong when the SE trade wind is strong, and the SEM, which is strong when the SE trade wind is weak. In addition, the South China Sea Monsoon also transports local water vapor as well as plays a role in achieving the synchronization between the δ18Ow and ENSO. The author thus terms the δ18Op rhythm in the MRC the “circulation effect”. In turn, the δ18Op variation in the MRC has the potential to provide information on atmospheric circulation and the signal of δ18Op recorded in natural archives can then be used to deduce a long-term behavior of the tropical climate system.

273 citations