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Ao H, Liebrand D, Dekkers MJ, Roberts AP, Jonell TN, Jin Z, Song Y, Liu Q, Sun Q, Li X, Huang C, Qiang X, Zhang P. Orbital- and millennial-scale Asian winter monsoon variability across the Pliocene-Pleistocene glacial intensification. Nat Commun 2024; 15:3364. [PMID: 38641605 PMCID: PMC11031568 DOI: 10.1038/s41467-024-47274-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 03/22/2024] [Indexed: 04/21/2024] Open
Abstract
Intensification of northern hemisphere glaciation (iNHG), ~2.7 million years ago (Ma), led to establishment of the Pleistocene to present-day bipolar icehouse state. Here we document evolution of orbital- and millennial-scale Asian winter monsoon (AWM) variability across the iNHG using a palaeomagnetically dated centennial-resolution grain size record between 3.6 and 1.9 Ma from a previously undescribed loess-palaeosol/red clay section on the central Chinese Loess Plateau. We find that the late Pliocene-early Pleistocene AWM was characterized by combined 41-kyr and ~100-kyr cycles, in response to ice volume and atmospheric CO2 forcing. Northern hemisphere ice sheet expansion, which was accompanied by an atmospheric CO2 concentration decline, substantially increased glacial AWM intensity and its orbitally oscillating amplitudes across the iNHG. Superposed on orbital variability, we find that millennial AWM intensity fluctuations persisted during both the warmer (higher-CO2) late Pliocene and colder (lower-CO2) early Pleistocene, in response to both external astronomical forcing and internal climate dynamics.
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Affiliation(s)
- Hong Ao
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.
- Laoshan Laboratory, Qingdao, China.
| | - Diederik Liebrand
- Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - Mark J Dekkers
- Paleomagnetic Laboratory 'Fort Hoofddijk', Department of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
| | - Andrew P Roberts
- Research School of Earth Sciences, Australian National University, Canberra, ACT, Australia
| | - Tara N Jonell
- School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK
| | - Zhangdong Jin
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
- Laoshan Laboratory, Qingdao, China
| | - Yougui Song
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Qingsong Liu
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Qiang Sun
- College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, China
| | - Xinxia Li
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
- School of Earth Sciences, China University of Geosciences (Wuhan), Wuhan, China
| | - Chunju Huang
- School of Earth Sciences, China University of Geosciences (Wuhan), Wuhan, China
| | - Xiaoke Qiang
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Peng Zhang
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
- Laoshan Laboratory, Qingdao, China
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2
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Clark PU, Shakun JD, Rosenthal Y, Köhler P, Bartlein PJ. Global and regional temperature change over the past 4.5 million years. Science 2024; 383:884-890. [PMID: 38386742 DOI: 10.1126/science.adi1908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024]
Abstract
Much of our understanding of Cenozoic climate is based on the record of δ18O measured in benthic foraminifera. However, this measurement reflects a combined signal of global temperature and sea level, thus preventing a clear understanding of the interactions and feedbacks of the climate system in causing global temperature change. Our new reconstruction of temperature change over the past 4.5 million years includes two phases of long-term cooling, with the second phase of accelerated cooling during the Middle Pleistocene Transition (1.5 to 0.9 million years ago) being accompanied by a transition from dominant 41,000-year low-amplitude periodicity to dominant 100,000-year high-amplitude periodicity. Changes in the rates of long-term cooling and variability are consistent with changes in the carbon cycle driven initially by geologic processes, followed by additional changes in the Southern Ocean carbon cycle.
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Affiliation(s)
- Peter U Clark
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331, USA
- School of Geography and Environmental Sciences, University of Ulster, Coleraine BT52 1SA, Northern Ireland, UK
| | - Jeremy D Shakun
- Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA 02467, USA
| | - Yair Rosenthal
- Department of Marine and Coastal Science, Rutgers The State University, New Brunswick, NJ 08901, USA
- Department of Earth and Planetary Sciences, Rutgers The State University, New Brunswick, NJ 08901, USA
| | - Peter Köhler
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 27570 Bremerhaven, Germany
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3
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Ao H, Ruan J, Martinón-Torres M, Krapp M, Liebrand D, Dekkers MJ, Caley T, Jonell TN, Zhu Z, Huang C, Li X, Zhang Z, Sun Q, Yang P, Jiang J, Li X, Xie X, Song Y, Qiang X, Zhang P, An Z. Concurrent Asian monsoon strengthening and early modern human dispersal to East Asia during the last interglacial. Proc Natl Acad Sci U S A 2024; 121:e2308994121. [PMID: 38190536 PMCID: PMC10801887 DOI: 10.1073/pnas.2308994121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 11/19/2023] [Indexed: 01/10/2024] Open
Abstract
The relationship between initial Homo sapiens dispersal from Africa to East Asia and the orbitally paced evolution of the Asian summer monsoon (ASM)-currently the largest monsoon system-remains underexplored due to lack of coordinated synthesis of both Asian paleoanthropological and paleoclimatic data. Here, we investigate orbital-scale ASM dynamics during the last 280 thousand years (kyr) and their likely influences on early H. sapiens dispersal to East Asia, through a unique integration of i) new centennial-resolution ASM records from the Chinese Loess Plateau, ii) model-based East Asian hydroclimatic reconstructions, iii) paleoanthropological data compilations, and iv) global H. sapiens habitat suitability simulations. Our combined proxy- and model-based reconstructions suggest that ASM precipitation responded to a combination of Northern Hemisphere ice volume, greenhouse gas, and regional summer insolation forcing, with cooccurring primary orbital cycles of ~100-kyr, 41-kyr, and ~20-kyr. Between ~125 and 70 kyr ago, summer monsoon rains and temperatures increased in vast areas across Asia. This episode coincides with the earliest H. sapiens fossil occurrence at multiple localities in East Asia. Following the transcontinental increase in simulated habitat suitability, we suggest that ASM strengthening together with Southeast African climate deterioration may have promoted the initial H. sapiens dispersal from their African homeland to remote East Asia during the last interglacial.
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Affiliation(s)
- Hong Ao
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
- Laoshan Laboratory, Qingdao266237, China
| | - Jiaoyang Ruan
- Center for Climate Physics, Institute for Basic Science, Busan46241, South Korea
- Pusan National University, Busan46241, South Korea
| | - María Martinón-Torres
- Dental Anthropology Group, National Research Center on Human Evolution, Burgos09002, Spain
- Department of Anthropology, University College London, LondonWC1H 0BW, United Kingdom
| | - Mario Krapp
- Department of Zoology, University of Cambridge, CambridgeCB2 1TN, United Kingdom
| | - Diederik Liebrand
- Department of Earth and Environmental Sciences, The University of Manchester, ManchesterM13 9PL, United Kingdom
| | - Mark J. Dekkers
- Palaeomagnetic Laboratory ‘Fort Hoofddijk’, Department of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht3584 CD, The Netherlands
| | - Thibaut Caley
- Bordeaux Institut National Polytechnique, Environnements et Paléoenvironnements Océaniques et Continentaux, University of Bordeaux, Centre national de la recherche scientifique, UMR 5805, PessacF-33600, France
| | - Tara N. Jonell
- School of Geographical and Earth Sciences, University of Glasgow, GlasgowG12 8QQ, United Kingdom
| | - Zongmin Zhu
- School of Earth Sciences, China University of Geosciences, Wuhan430074, China
| | - Chunju Huang
- School of Earth Sciences, China University of Geosciences, Wuhan430074, China
| | - Xinxia Li
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Ziyun Zhang
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Qiang Sun
- College of Geology and Environment, University of Science and Technology, Xi’an710054, China
| | - Pingguo Yang
- College of Life Science, Shanxi Normal University, Taiyuan030031, China
| | - Jiali Jiang
- School of Earth Sciences, China University of Geosciences, Wuhan430074, China
| | - Xinzhou Li
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Xiaoxun Xie
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Yougui Song
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Xiaoke Qiang
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
| | - Peng Zhang
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
- Laoshan Laboratory, Qingdao266237, China
| | - Zhisheng An
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an710061, China
- Institute of Global Environmental Change, Xi’an Jiaotong University, Xi’an710049, China
- Interdisciplinary Research Center of Earth Science Frontier, Beijing Normal University, Beijing100875, China
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Calderón Gutiérrez F, Iliffe TM, Borda E, Yáñez Mendoza G, Labonté J. Response and resilience of karst subterranean estuary communities to precipitation impacts. Ecol Evol 2023; 13:e10415. [PMID: 37589039 PMCID: PMC10425610 DOI: 10.1002/ece3.10415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/14/2023] [Accepted: 07/27/2023] [Indexed: 08/18/2023] Open
Abstract
The impact of meteorological phenomena on ecosystem communities of karst subterranean estuaries (KSEs) remains unknown. KSEs are characterized by vertically stratified groundwater separated by a halocline and host endemic aquatic cave-adapted fauna (stygobionts). In October 2015, 8 days of heavy precipitation caused the first recorded mortality event in the KSE. This event was marked by a halocline shift 5 m deeper. The present study aimed to provide insights into resilience of KSEs faunal communities to temporal shifts in temperature and precipitation. Cave water temperature decreased on average 0.0068°C per mm of accumulated precipitation over 4 days, which can add up to, and surpass, the interannual temperature variation in cases of heavy precipitations. Biological surveys (2012-2021) conducted within cave systems El Aerolito and La Quebrada, in Cozumel, indicated that change in community structure was not detected and stygobionts were resilient; however, marine species inhabiting the caves were impacted. Overall, the faunal community at KSEs remains resilient within short-term meteorological phenomena despite shifts of non-stygobionts.
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Affiliation(s)
- Fernando Calderón Gutiérrez
- Department of Marine BiologyTexas A&M University at GalvestonGalvestonTexasUSA
- Department of Natural SciencesTexas A&M University San AntonioSan AntonioTexasUSA
- Circulo Espeleológico del Mayab A.C.CozumelMexico
| | | | - Elizabeth Borda
- Department of Natural SciencesTexas A&M University San AntonioSan AntonioTexasUSA
| | | | - Jessica Labonté
- Department of Marine BiologyTexas A&M University at GalvestonGalvestonTexasUSA
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5
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Bagniewski W, Rousseau DD, Ghil M. The PaleoJump database for abrupt transitions in past climates. Sci Rep 2023; 13:4472. [PMID: 36934110 PMCID: PMC10024733 DOI: 10.1038/s41598-023-30592-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 02/27/2023] [Indexed: 03/20/2023] Open
Abstract
Tipping points (TPs) in Earth's climate system have been the subject of increasing interest and concern in recent years, given the risk that anthropogenic forcing could cause abrupt, potentially irreversible, climate transitions. Paleoclimate records are essential for identifying past TPs and for gaining a thorough understanding of the underlying nonlinearities and bifurcation mechanisms. However, the quality, resolution, and reliability of these records can vary, making it important to carefully select the ones that provide the most accurate representation of past climates. Moreover, as paleoclimate time series vary in their origin, time spans, and periodicities, an objective, automated methodology is crucial for identifying and comparing TPs. To address these challenges, we introduce the open-source PaleoJump database, which contains a collection of carefully selected, high-resolution records originating in ice cores, marine sediments, speleothems, terrestrial records, and lake sediments. These records describe climate variability on centennial, millennial and longer time scales and cover all the continents and ocean basins. We provide an overview of their spatial distribution and discuss the gaps in coverage. Our statistical methodology includes an augmented Kolmogorov-Smirnov test and Recurrence Quantification Analysis; it is applied here, for illustration purposes, to selected records in which abrupt transitions are automatically detected and the presence of potential tipping elements is investigated. These transitions are shown in the PaleoJump database along with other essential information about the records, including location, temporal scale and resolution, as well as temporal plots. This open-source database represents, therefore, a valuable resource for researchers investigating TPs in past climates.
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Affiliation(s)
- Witold Bagniewski
- Department of Geosciences and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure, PSL University, Paris, France.
| | - Denis-Didier Rousseau
- Geosciences Montpellier, CNRS, University of Montpellier, Montpellier, France
- Institute of Physics - CSE, Division of Geochronology and Environmental Isotopes, Silesian University of Technology, Gliwice, Poland
- Lamont-Doherty Earth Observatory, Columbia University, New York, USA
| | - Michael Ghil
- Department of Geosciences and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure, PSL University, Paris, France
- Department of Atmospheric and Oceanic Sciences, University of California at Los Angeles, Los Angeles, USA
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6
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Jian Z, Wang Y, Dang H, Mohtadi M, Rosenthal Y, Lea DW, Liu Z, Jin H, Ye L, Kuhnt W, Wang X. Warm pool ocean heat content regulates ocean-continent moisture transport. Nature 2022; 612:92-99. [PMID: 36261525 DOI: 10.1038/s41586-022-05302-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/31/2022] [Indexed: 11/09/2022]
Abstract
The Indo-Pacific Warm Pool (IPWP) exerts a dominant role in global climate by releasing huge amounts of water vapour and latent heat to the atmosphere and modulating upper ocean heat content (OHC), which has been implicated in modern climate change1. The long-term variations of IPWP OHC and their effect on monsoonal hydroclimate are, however, not fully explored. Here, by combining geochemical proxies and transient climate simulations, we show that changes of IPWP upper (0-200 m) OHC over the past 360,000 years exhibit dominant precession and weaker obliquity cycles and follow changes in meridional insolation gradients, and that only 30%-40% of the deglacial increases are related to changes in ice volume. On the precessional band, higher upper OHC correlates with oxygen isotope enrichments in IPWP surface water and concomitant depletion in East Asian precipitation as recorded in Chinese speleothems. Using an isotope-enabled air-sea coupled model, we suggest that on precessional timescales, variations in IPWP upper OHC, more than surface temperature, act to amplify the ocean-continent hydrological cycle via the convergence of moisture and latent heat. From an energetic viewpoint, the coupling of upper OHC and monsoon variations, both coordinated by insolation changes on orbital timescales, is critical for regulating the global hydroclimate.
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Affiliation(s)
- Zhimin Jian
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China.
| | - Yue Wang
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China.
| | - Haowen Dang
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China.
| | - Mahyar Mohtadi
- MARUM-Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
| | - Yair Rosenthal
- Department of Marine and Coastal Science, Rutgers University, New Brunswick, NJ, USA.,Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA
| | - David W Lea
- Department of Earth Science, University of California, Santa Barbara, CA, USA
| | - Zhongfang Liu
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China
| | - Haiyan Jin
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China
| | - Liming Ye
- Second Institute of Oceanography, Ministry of Natural Resource, Hangzhou, China
| | - Wolfgang Kuhnt
- Institute of Geosciences, Christian-Albrechts-Universität, Kiel, Germany
| | - Xingxing Wang
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China
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7
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He J, Zhang F, Xu X, Du B, Wu J, Li Z, Bai Z, Guo J, Wang Y, He J. Highly Sensitive Temperature Sensor Based on Cascaded Polymer-Infiltrated Fiber Mach-Zehnder Interferometers Operating near the Dispersion Turning Point. Polymers (Basel) 2022; 14:3617. [PMID: 36080692 PMCID: PMC9459823 DOI: 10.3390/polym14173617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/16/2022] Open
Abstract
High-accuracy temperature measurement plays a vital role in biomedical, oceanographic, and photovoltaic industries. Here, a highly sensitive temperature sensor is proposed and demonstrated based on cascaded polymer-infiltrated Mach-Zehnder interferometers (MZIs), operating near the dispersion turning point. The MZI was constructed by splicing a half-pitch graded index fiber (GIF) and two sections of single-mode fiber and creating an inner air cavity based on femtosecond laser micromachining. The UV-curable polymer-infiltrated air cavity functioned as one of the interference arms of MZI, and the residual GIF core functioned as the other. Two MZIs with different cavity lengths and infiltrated with the UV-curable polymers, having the refractive indexes on the different sides of the turning point, were created. Moreover, the effects of the length and the bending way of transmission SMF between the first and the second MZI were studied. As a result, the cascaded MZI temperature sensor exhibits a greatly enhanced temperature sensitivity of -24.86 nm/°C based on wavelength differential detection. The aforementioned result makes it promising for high-accuracy temperature measurements in biomedical, oceanographic, and photovoltaic applications.
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Affiliation(s)
- Jia He
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Fengchan Zhang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Xizhen Xu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Bin Du
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Jiafeng Wu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Zhuoda Li
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Zhiyong Bai
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Jinchuan Guo
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Yiping Wang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Jun He
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
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