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A Long-Term (2012–2024) Data Set of Integrated Land–Atmosphere–Carbon–Hydrology Interactions Observations in Ningxiang, East Monsoon Region

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Geoscience Data Journal 2025年第3期12卷

作者： Ruichao Li Zhenghui Xie Binghao Jia Zhipeng Xie Longhuan Wang Yuhang Tian Heng Yan Yanbin You State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Hydrology and Water Resources Nanjing University of Information Science and Technology Nanjing China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing China Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China College of Forestry Beijing Forestry University Beijing China

The eastern monsoon region of China, characterised by its high population density and rapid economic development, is particularly sensitive to global climate change. Issues such as water scarcity, droughts and floods, as well as ecological and environmental degradation, are particularly pronounced in this region. Consequently, there is a significant scientific imperative to investigate the land, atmosphere, carbon and hydrology interactions within this region. It is imperative for enhancing the efficiency of water usage, elucidating the evolutionary mechanisms of the carbon and hydrological cycles and evaluating ecological and environmental impacts. In this context, the present study introduces an integrated observation platform of the land–atmosphere–carbon–hydrology interactions in the eastern monsoon region—Ningxiang Station of the Institute of Atmospheric Physics, Chinese Academy of Sciences, and provides a long-term (2012–2024) integrated observation data set of the land–atmosphere–carbon–hydrology interactions. The integrated observation data set comprises hourly basic meteorological elements, half-hourly flux data and half-hourly groundwater depth data. These continuous, long-term, and high-resolution data sets have been employed to investigate land–atmosphere–carbon–hydrology interactions in the eastern monsoon region. Furthermore, the data set provides a critical foundation for the development of a new generation high-resolution earth system models and for advancing understanding of the impacts and feedback mechanisms of natural processes and anthropogenic activities on water, energy, material exchanges and climate. The complete data set is publicly accessible via the Science Data Bank ( https://***/10.57760/sciencedb.20182 ).

关键词： eastern monsoon region flux data groundwater meteorological observations

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Storylines reveal contrasting thermodynamic effects of climate change on 2020/21 East Asian cold extremes

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npj Climate and Atmospheric Science 2025年第1期8卷 1-10页

作者： Zhuo, Wenqin Sánchez-Benítez, Antonio Athanase, Marylou Jung, Thomas Yao, Yao Goessling, Helge F. Yunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Greater Mekong Subregion Yunnan University Kunming China Department of Atmospheric Sciences Yunnan University Kunming China Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven Germany Department of Physics and Electrical Engineering University of Bremen Bremen Germany State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

The changing character of mid-latitude cold air outbreaks in a warming climate remains unclear, primarily due to uncertainty associated with changing atmospheric dynamics. Here, we employ an event-based storyline approach in which the evolution of the large-scale atmospheric circulation is nudged to reanalysis data at different global warming levels based on historical and medium-to-high-emission scenario simulations. We thereby quantify the thermodynamic climate-change effects of pre-industrial, 2 °C and 4 °C warmer climates compared to present-day climate for three cold surges in East Asia during winter 2020/21. The strongest warming occurs over northeast Asia, reaching up to +12 °C in a + 4 °C warmer climate and caused by the advection of less cold air from winter ice-free regions in the Arctic, where surface air temperature increases by over +20 °C. In contrast, over southern China, a moderate cooling is found from pre-industrial to present-day climates, due to the observed increase in aerosol concentration, peaking by the mid-21st century and altering radiative balances. This cooling effect is likely to persist well into a + 2 °C-warmer climate;however, it may become undetectable at the end of the 21st century (+4 °C warming). Our findings underscore the important thermodynamic impact associated with Arctic amplification and cooling effect of aerosol-induced changes in the radiation budget under a high aerosol emission scenario on East Asian cold extremes. © The Author(s) 2025.

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The Relationship between Deterministic and Ensemble Mean Forecast Errors Revealed by Global and Local Attractor Radii

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Advances in Atmospheric Sciences 2019年第3期36卷 271-278,339页

作者： Jie FENG Jianping LI Jing ZHANG Deqiang LIU Ruiqiang DING School of Meteorology University of Oklahoma College of Global Change and Earth System Science (GCESS) Beijing Normal University Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology Cooperative Institute for Research in the Atmosphere GSD/ESRL/OAR/NOAA Fujian Meteorological Observatory Wuyishan National Park Meteorological Observatory State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu University of Information Technology

It has been demonstrated that ensemble mean forecasts, in the context of the sample mean, have higher forecasting skill than deterministic(or single) forecasts. However, few studies have focused on quantifying the relationship between their forecast errors, especially in individual prediction cases. Clarification of the characteristics of deterministic and ensemble mean forecasts from the perspective of attractors of dynamical systems has also rarely been involved. In this paper, two attractor statistics—namely, the global and local attractor radii(GAR and LAR, respectively)—are applied to reveal the relationship between deterministic and ensemble mean forecast errors. The practical forecast experiments are implemented in a perfect model scenario with the Lorenz96 model as the numerical results for verification. The sample mean errors of deterministic and ensemble mean forecasts can be expressed by GAR and LAR, respectively, and their ratio is found to approach2^(1/2) with lead time. Meanwhile, the LAR can provide the expected ratio of the ensemble mean and deterministic forecast errors in individual cases.

关键词： attractor radius ensemble forecasting ensemble mean forecast error saturation

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Propagation and Mechanisms of the Quasi-Biweekly Oscillation over the Asian Summer Monsoon Region

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Journal of Meteorological Research 2017年第2期31卷 321-335页

作者： Meirong WANG Jun WANG Anmin DUAN Center of Data Assimilation for Research and Application/Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science & TechnologyNanjing 210044 Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu 610225 International Institute for Earth System Science Nanjing UniversityNanjing 210023 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029

The propagation and underlying mechanisms of the boreal summer quasi-biweekly oscillation（QBWO）over the entire Asian monsoon region are investigated,based on ECMWF Interim reanalysis（ERA-Interim）data,GPCP precipitation data,and an atmospheric general circulation model（AGCM）.Statistical analyses indicate that the QBWO over the Asian monsoon region derives its main origin from the equatorial western Pacific and moves northwestward to the Bay of Bengal and northern India,and then northward to the Tibetan Plateau（TP）area,with a baroclinic vertical *** propagation of the QBWO is promoted by three main mechanisms：barotropic vorticity,boundary moisture advection,and surface sensible heating（SSH）.It is dominated by the barotropic vorticity effect when the QBWO signals are situated to the south of 20°*** the propagation taking place farther north toward the TP,the boundary moisture advection and SSH are the leading *** use an AGCM to verify the importance of SSH on the northward propagation of the *** simulations confirm the diagnostic conclusion that the equatorial western Pacific is the source of the ***,the model can accurately simulate the propagation pathway of the QBWO signals over the Asian monsoon ***,sensitivity experiments demonstrate that the SSH over northern India and the southern slope of the TP greatly contributes to the northward propagation of the QBWO as far as the TP area.

关键词： quasi-biweekly oscillation Asian monsoon region northward-propagating mechanism surface sensible heating atmospheric general circulation model

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Intermodel Diversity of Simulated Long-term Changes in the Austral Winter Southern Annular Mode:Role of the Southern Ocean Dipole

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Advances in Atmospheric Sciences 2021年第3期38卷 375-386页

作者： Fei ZHENG Jianping LI Shuailei YAO State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 10029China Frontiers Science Center for Deep Ocean Multispheres and Earth System(FDOMES)/Key Laboratory of Physical Oceanography/Institute for Advanced Ocean Studies Ocean University of ChinaQingdao 266100China Laboratory for Ocean Dynamics and Climate Pilot Qingdao National Laboratory for Marine Science

The Southern Annular Mode(SAM)plays an important role in regulating Southern Hemisphere extratropical ***-of-the-art models exhibit intermodel spread in simulating long-term changes in the *** from Atmospheric Model Intercomparison Project(AMIP)experiments from 28 models archived in CMIP5 show that the intermodel spread in the linear trend in the austral winter(June−July−August)SAM is significant,with an intermodel standard deviation of 0.28(10 yr)−1,larger than the multimodel ensemble mean of 0.18(10 yr)−*** study explores potential factors underlying the model difference from the aspect of extratropical sea surface temperature(SST).Extratropical SST anomalies related to the SAM exhibit a dipole-like structure between middle and high latitudes,referred to as the Southern Ocean Dipole(SOD).The role of SOD-like SST anomalies in influencing the SAM is found in the AMIP *** performance in simulating the SAM trend is linked with model skill in reflecting the SOD−SAM *** with stronger linkage between the SOD and the SAM tend to simulate a stronger SAM *** explained variance is about 40%in the AMIP *** results suggest improved simulation of the SOD−SAM relationship may help reproduce long-term changes in the SAM.

关键词： Southern Annular Mode Southern Ocean Dipole intermodel spread air−sea interactions

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Pathways of Influence of the Northern Hemisphere Mid–high Latitudes on East Asian Climate: A Review

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Advances in Atmospheric Sciences 2019年第9期36卷 902-921页

作者： Jianping LI Fei ZHENG Cheng SUN Juan FENG Jing WANG Key Laboratory of Physical Oceanography–Institute for Advanced Ocean Studies Ocean University of China and Qingdao National Laboratory for Marine Science and TechnologyQingdao 266003China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

This paper reviews recent progress made by Chinese scientists on the pathways of influence of the Northern Hemisphere mid-high latitudes on East Asian climate within the framework of a“coupled oceanic-atmospheric(land-atmospheric or seaice-atmospheric)bridge”and“chain coupled bridge”.Four major categories of pathways are concentrated upon,as follows:Pathway A—from North Atlantic to East Asia;Pathway B—from the North Pacific to East Asia;Pathway C—from the Arctic to East Asia;and Pathway D—the synergistic effects of the mid-high latitudes and *** addition,definitions of the terms“combined effect”,“synergistic effect”and“antagonistic effect”of two or more factors of influence or processes and their criteria are introduced,so as to objectively investigate those effects in future research.

关键词： East Asian climate Northern Hemisphere mid-high latitudes coupled oceanic-land-sea-ice-atmospheric bridge chain coupled bridge pathway synergistic effect

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Is the atmospheric river operating at a self-organized criticality state?

arXiv

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arXiv 2025年

作者： Wang, Shang Meng, Jun Fang, Sheng Liu, Teng Christensen, Kim Kurths, Jürgen Fan, Jingfang School of Systems Science Institute of Nonequilibrium Systems Beijing Normal University Beijing100875 China Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China Earth System Modelling School of Engineering and Design Technical University of Munich Munich85748 Germany Potsdam Institute for Climate Impact Research Potsdam14412 Germany Blackett Laboratory Centre for Complexity Science Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom Department of Physics Humboldt University Berlin10099 Germany

Atmospheric rivers (ARs) are essential components of the global hydrological cycle, with profound implications for water resources, extreme weather events, and climate dynamics. Yet, the statistical organization and underlying physical mechanisms of AR intensity and evolution remain poorly understood. Here we apply methods from statistical physics to analyze the full life cycle of ARs and identify universal signatures of self-organized criticality (SOC). We demonstrate that AR morphology exhibits nontrivial fractal geometry, while AR event sizes—quantified via integrated water vapor transport—follow robust power-law distributions, displaying finite-size scaling. These scaling behaviors persist under warming scenarios, suggesting that ARs operate near a critical state as emergent, self-regulating systems. Concurrently, we observe a systematic poleward migration and intensification of ARs, linked to thermodynamic amplification and dynamical reorganization. Our findings establish a statistical physics framework for ARs, linking critical phenomena to the spatiotemporal structure of extreme events in a warming climate. © 2025, CC BY.

关键词： Statistical mechanics

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Influence of the NAO on Wintertime Surface Air Temperature over East Asia:Multidecadal Variability and Decadal Prediction

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Advances in Atmospheric Sciences 2022年第4期39卷 625-642页

作者： Jianping LI Tiejun XIE Xinxin TANG Hao WANG Cheng SUN Juan FENG Fei ZHENG Ruiqiang DING Frontiers Science Center for Deep Ocean Multispheres and Earth System-Key Laboratory of Physical Oceanography-Institute for Advanced Ocean Studies-Academy of the Future Ocean Ocean University of ChinaQingdao 266100China Laboratory for Ocean Dynamics and Climate Pilot Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China College of Global Change and Earth System Sciences Beijing Normal UniversityBeijing 100875China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875China

In this paper,we investigate the influence of the winter NAO on the multidecadal variability of winter East Asian surface air temperature(EASAT)and EASAT decadal *** observational analysis shows that the winter EASAT and East Asian minimum SAT(EAmSAT)display strong in-phase fluctuations and a significant 60-80-year multidecadal variability,apart from a long-term warming *** winter EASAT experienced a decreasing trend in the last two decades,which is consistent with the occurrence of extremely cold events in East Asia winters in recent *** winter NAO leads the detrended winter EASAT by 12-18 years with the greatest significant positive correlation at the lead time of 15 *** analysis shows that ENSO may affect winter EASAT interannual variability,but does not affect the robust lead relationship between the winter NAO and *** present the coupled oceanic-atmospheric bridge(COAB)mechanism of the NAO influences on winter EASAT multidecadal variability through its accumulated delayed effect of~15 years on the Atlantic Multidecadal Oscillation(AMO)and Africa-Asia multidecadal teleconnection(AAMT)*** NAO-based linear model for predicting winter decadal EASAT is constructed on the principle of the COAB mechanism,with good hindcast *** winter EASAT for 2020-34 is predicted to keep on fluctuating downward until~2025,implying a high probability of occurrence of extremely cold events in coming winters in East Asia,followed by a sudden turn towards sharp *** predicted 2020/21 winter EASAT is almost the same as the 2019/20 winter.

关键词： winter East Asian surface air temperature North Atlantic Oscillation Atlantic Multidecadal Oscillation Africa-Asia multidecadal teleconnection pattern coupled oceanic-atmospheric bridge multidecadal variability

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Prediction of ENSO using multivariable deep learning

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Atmospheric and Oceanic Science Letters 2023年第4期16卷 51-56页

作者： Yue Chen Xiaomeng Huang Jing-Jia Luo Yanluan Lin Jonathon S.Wright Youyu Lu Xingrong Chen Hua Jiang Pengfei Lin Ministry of Education Key Laboratory for Earth System Modeling and Department for Earth System Science Tsinghua UniversityBeijingChina Institute for Climate and Application Research(ICAR)/CICFEM/KLME/ILCEC Nanjing University of Information Science and TechnologyNanjingChina Ocean and Ecosystem Sciences Division Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada National Marine Environmental Forecasting Center State Oceanic AdministrationBeijingChina State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

本文基于残差神经网络和观测数据构建了一套深度学习多因子预报测模型,以改进厄尔尼诺-南方涛动(ENSO)的预报.该模型基于最大信息系数进行因子时空特征提取,并根据泰勒图的评估标准可自动确定关键预报因子进行预报.该模型在超前8个月以... 详细信息

本文基于残差神经网络和观测数据构建了一套深度学习多因子预报测模型,以改进厄尔尼诺-南方涛动(ENSO)的预报.该模型基于最大信息系数进行因子时空特征提取,并根据泰勒图的评估标准可自动确定关键预报因子进行预报.该模型在超前8个月以内的预报性能要优于当前传统的业务预报模式.2011–2018年间,该模型的预报性能优于多模式集成预报的结果.在超前6个月预报时效上,模型预报相关性可达0.82,标准化后的均方根误差仅为0.58°C,多模式集成预报的相关性和标准化后的均方根误差分别为0.70和0.73°C.该模型春季预报障碍问题有所缓解,并且自动选取的关键预报因子可用于解释热带和副热带热动力过程对于ENSO变化的影响.

关键词： ENSO预报深度学习春季预报障碍多维时空预报因子

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Seismic and geological evidence of hidden faults in the Yinpan Reservoir area based on a dense seismic array

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Science China earth Sciences 2024年第7期67卷 2401-2407页

作者： Guangyao YIN Huai ZHANG Liwen GONG Q ipeng BAI Yicun GUO Bing ZHANG Yaolin SHI Key Laboratoryof Earth System Numerical Modeling and Application(Chinese Academyof Sciences) College of Earth and Planetary SciencesUniversity of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Computational Geodynamics Chinese Academy of SciencesBeijing 100049China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519080China Beijing Yanshan Critical Zone National Field Scientific Observation and Research Station Beijing 101408China Chongqing Earthquake Agency Chongqing 401147 China Institute of Earthquake Forecasting China Earthquake AdministrationBeijing 100036China Hangzhou Applied Acoustics Research Institute Hangzhou 311100China State Key Laboratory of Geodesy and Earths Dynamics Innovation Academy for Precision Measurement Science and TechnologyCASWuhan 430077China

*** November 23,2017,an M_(S)5.0 earthquake occurred in Wulong,Chongqing,China,resulting in tens of casualties and considerable economic ***,the epicenter of this earthquake was located in the transition zone from the... 详细信息

关键词： earthquake southeast seismic

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