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Influence of the Preceding Austral Summer Southern Hemisphere Annular Mode on the Amplitude of ENSO Decay

Advances in Atmospheric Sciences 2017年第11期34卷 1358-1379页

作者： Fei ZHENG Jianping LI Ruiqiang DING State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technologyqingdao 266237China Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu University of Information Technologychengdu 610103China

There is increasing evidence of the possible role of extratropical forcing in the evolution of ENSO. The Southern Hemi- sphere Annular Mode （SAM） is the dominant mode of atmospheric circulation in the Southern Hemisphere extratropics. This study shows that the austral summer （December-January-February; DJF） SAM may also influence the amplitude of ENSO decay during austral autumn （March-April-May; MAM）. The mechanisms associated with this SAM-ENSO relationship can be briefly summarized as follows： The SAM is positively （negatively） correlated with SST in the Southern Hemisphere middle （high） latitudes. This dipole-like SST anomaly pattern is referred to as the Southern Ocean Dipole （SOD）. The DJF SOD, caused by the DJF SAM, could persist until MAM and then influence atmospheric circulation, including trade winds, over the Nifio3.4 area. Anomalous trade winds and SST anomalies over the Nifio3.4 area related to the DJF SAM are further developed through the Bjerkness feedback, which eventually results in a cooling （warming） over the Nifio3.4 area followed by the positive （negative） DJF SAM.

关键词： Southern Hemisphere Annular Mode ENSO Southern Ocean Dipole

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Using a skillful statistical model to predict September sea ice covering Arctic shipping routes

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Acta Oceanologica Sinica 2020年第5期39卷 11-25页

作者： Sha Li Muyin Wang Wenyu Huang Shiming Xu Bin Wang Yuqi Bai Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Joint Institute for the Study of the Atmosphere and Ocean University of WashingtonSeattle WA98195USA Pacific Marine Environmental Laboratory National Oceanic and Atmospheric AdministrationSeattle WA98115USA State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

The rapid decrease in Arctic sea ice cover and thickness not only has a linkage with extreme weather in the midlatitudes but also brings more opportunities for Arctic shipping routes and polar resource exploration,both of which motivate us to further understand causes of sea-ice variations and to obtain more accurate estimates of seaice cover in the ***,a novel data-driven method,the causal effect networks algorithm,is applied to identify the direct precursors of September sea-ice extent covering the Northern Sea Route and Transpolar Sea Route at different lead times so that statistical models can be constructed for sea-ice *** whole study area was also divided into two parts:the northern region covered by multiyear ice and the southern region covered by seasonal *** forecast models of September sea-ice extent in the whole study area(TSIE)and southern region(SSIE)at lead times of 1–4 months can explain over 65%and 79%of the variances,respectively,but the forecast skill of sea-ice extent in the northern region(NSIE)is limited at a lead time of 1 *** lead times of 1–4 months,local sea-ice concentration and sea-ice thickness have a larger influence on September TSIE and SSIE than other teleconnection *** the lead time is more than 4 months,the surface meridional wind anomaly from northern Europe in the preceding autumn or early winter is dominant for September TSIE variations but is comparable to thermodynamic factors for NSIE and *** suggest that this study provides a complementary approach for predicting regional sea ice and is helpful in evaluating and improving climate models.

关键词： regional sea ice Arctic shipping routes machine learning statistical model predictions

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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： Wenqin Zhuo Antonio Sánchez-Benítez Marylou Athanase Thomas Jung Helge F. Goessling Yao Yao 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-21stcentury 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 21stcentury (+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.

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Preliminary Evaluation of Cloud Fraction Simulations by GAMIL2 Using COSP

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Atmospheric and Oceanic Science Letters 2012年第3期5卷 258-263页

作者： DONG Li LI Li-Juan HUANG Wen-Yu WANG Yong WANG Bin State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Dynamics （LASG） Institute of Atmos-pheric Physics （IAP） Chinese Academy of Sciences Beijing 100029 China Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science Tsinghua University Beijing 100084 China

The Cloud Feedback Model Intercomparisons Project (CFMIP) Observation Simulator Package (COSP) is adopted in the Grid-point Atmospheric Model of IAP LASG (GAMIL2) during CFMIP at Phase II to evaluate the model cloud fractions in a consistent way with satellite observations. The cloud simulation results embedded in the Atmospheric Model Intercomparison Project (AMIP) control experiment are presented using three satellite simulators: International Satellite Cloud Climatology Project (ISCCP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) lidar onboard the Cloud- Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). Overall, GAMIL2 can produce horizontal distributions of the low cloud fraction that are similar to the satellite observations, and its similarities to the observations on different levels are shown in Taylor diagrams. The discrepancies among satellite observations are also shown, which should be considered during evaluation.

关键词： COSP GAMIL cloud fraction satellite simu- lator

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application of Raman Spectroscopy in Oil and Gas Geological Research

Journal of GeoEnergy

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Journal of GeoEnergy 2025年第1期2025卷

作者： Yu Lin Hongjian Zhu Hongye Feng Yiwen Ju Yanjun Lu Yanyan Pan Ci Song School of Vehicles and Energy Yanshan University Qinhuangdao 066000 China *** Hebei Engineering Research Center for Low Carbon Development and Resource Utilization of Fossil Energy Sources Qinhuangdao 066000 China Institute of Mineral Resources Chinese Academy of Geological Sciences Beijing 100037 China *** National Key Laboratory of Earth System Numerical Modeling and Application College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing 101408 China ***

Raman spectroscopy has shown considerable potential in the study of organic macerals in source rocks due to its significant benefits of accuracy, efficiency, and in situ nondestructive detection. This technology successfully applies to the reconstruction of paleotemperature and pressure environments, the quantitative evaluation of organic matter maturity, and the construction of a carbon Raman spectroscopy geothermometer model. The present study systematically examines the intrinsic relationship and the application between Raman parameters and material composition and molecular structure, as well as the application, challenges, and future directions of Raman spectroscopy in the current research field of source rock evaluation.

关键词： fluid inclusion metamorphic geothermometer organic matter maturity Raman spectroscopy

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Ground–Space–Sky Observing system Experiment during Tropical Cyclone Mulan in August 2022

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Advances in Atmospheric Sciences 2023年第2期40卷 194-200页

作者： Pak-wai CHAN Wei HAN Betty MAK Xiaohao QIN Yongzhu LIU Ruoying YIN Jincheng WANG Hong Kong Observatory Hong KongChina China Meteorological Administration Earth System Modeling and Prediction Centre Beijing 100081China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Forecasting tropical cyclone track and intensity is a great challenge for the meteorological community,and safeguarding the life and property of people living near the coast is an important *** major reason for challenging forecasts is the lack of observations over the vast *** tropical cyclone Mulan between 8 and 10 August 2022 over the northern part of the South China Sea,the meteorological authority and research institutes of Chinese mainland collaborated with the meteorological service in Hong Kong on conducting the first-ever ground–space–sky observing system experiment on tropical cyclone *** enhanced targeted observations collected during the experiment include Geostationary Interferometric Infrared Sounder,round-trip radiosondes,and aircraft-launched *** paper describes the campaign,technical details of the meteorological models used,and impact of the additional targeted observation data on the tropical cyclone ***,similar enhanced observation campaigns could be conducted in the future,not only in the northern part of the South China Sea,but also in other ocean basins.

关键词： meteorological cyclone tropical

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Decreasing Trend in Global Land Monsoon Precipitation over the Past 50 Years Simulated by a Coupled Climate Model

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Advances in Atmospheric Sciences 2010年第2期27卷 285-292页

作者：李红梅周天军李超 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Graduate University of the Chinese Academy of Sciences International Max Planck Research School on Earth System Modeling Max Planck Institute for Meteorology

The authors examine the effects of external forcing agents such as greenhouse gases （GHGs） and aerosols, as well as solar variability and ozone, on global land monsoon precipitation by using a coupled climate model HadGEM1, which was developed by the Met Office Hadley Centre for Climate Research. The results indicate that HadGEM1 performs well in simulating the observed decreasing trend of global land monsoon precipitation over the past 50 years. This trend mainly occurred in the Northern Hemisphere and is significantly different from the trend of natural variability due to ocean-atmosphere-land interactions. The coherence between the simulation and the observations indicates that the specified external forcing agents, including GHGs and aerosols as well as solar variability and ozone, are important factors that have affected the decreasing trend of global land monsoon precipitation in the past 50 years.

关键词： monsoon precipitation decreasing trend coupled climate model external forcings

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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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earth system Model FGOALS-s2: Coupling a Dynamic Global Vegetation and Terrestrial Carbon Model with the Physical Climate system Model

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Advances in Atmospheric Sciences 2013年第6期30卷 1549-1559页

作者：王军包庆 Ning ZENG 刘屹岷吴国雄纪多颖 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences University of the Chinese Academy of Sciences Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center University of Maryland College Park College of Global Change and Earth System Science Beijing Normal University

earth system Models （ESMs） are fundamental tools for understanding climate-carbon feedback. An ESM version of the Flexible Global Ocean-Atmosphere-Land system model （FGOALS） was recently developed within the IPCC AR5 Coupled Model Intercomparison Project Phase 5 （CMIP5） modeling framework, and we describe the development of this model through the coupling of a dynamic global vegetation and terrestrial carbon model with FGOALS-s2. The performance of the coupled model is evaluated as follows. The simulated global total terrestrial gross primary production （GPP） is 124.4 PgC yr-I and net pri- mary production （NPP） is 50.9 PgC yr-1. The entire terrestrial carbon pools contain about 2009.9 PgC, comprising 628.2 PgC and 1381.6 PgC in vegetation and soil pools, respectively. Spatially, in the tropics, the seasonal cycle of NPP and net ecosystem production （NEP） exhibits a dipole mode across the equator due to migration of the monsoon rainbelt, while the seasonal cycle is not so significant in Leaf Area Index （LAI）. In the subtropics, especially in the East Asian monsoon region, the seasonal cycle is obvious due to changes in temperature and precipitation from boreal winter to summer. Vegetation productivity in the northern mid-high latitudes is too low, possibly due to low soil moisture there. On the interannual timescale, the terrestrial ecosystem shows a strong response to ENSO. The model- simulated Nifio3.4 index and total terrestrial NEP are both characterized by a broad spectral peak in the range of 2-7 years. Further analysis indicates their correlation coefficient reaches -0.7 when NEP lags the Nifio3.4 index for about 1-2 months.

关键词： earth system Model (ESM) Dynamic Global Vegetation Model (DGVM) carbon cycle sea- sonal cycle interannual variability

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