Atmospheric Research最新文献

{"title":"Associations between the thermal spring timing variability and atmospheric teleconnection patterns over the past six decades in Finland","authors":"Sadegh Kaboli ,&nbsp;Ville Kankare ,&nbsp;Ali Torabi Haghighi ,&nbsp;Cintia Bertacchi Uvo ,&nbsp;Elina Kasvi","doi":"10.1016/j.atmosres.2026.108752","DOIUrl":"10.1016/j.atmosres.2026.108752","url":null,"abstract":"<div><div>The timing of the spring season in the boreal region is shifting under global warming, with profound impacts on ecosystems and hydrological processes. However, the mechanisms driving this transition and its considerable interannual variability are not well described, especially regarding the influence of large-scale atmospheric teleconnection patterns. This study examines the temporal variability of the observed thermal spring season across Finland, a boreal country warming faster than the global average. Key spring timing indices, including onset, end, duration, and growing season onset, were calculated and analyzed using high-resolution (1 km × 1 km) daily mean temperature data from 1961 to 2023. Spatial and temporal patterns were identified through Empirical Orthogonal Function (EOF) decomposition, and their associations with major atmospheric teleconnection patterns were examined. Results indicated that during the past six decades, the spring onset has advanced by 2–6 days/decade, with the most pronounced changes in the coastal and southwestern parts of the country. The duration of the spring season has extended by 3–6 days/decade in the northern areas and along the southwestern coast. The early spring onset was associated with a strong positive phase of the Arctic Oscillation (AO), and delayed spring end and growing season onset were linked to the positive phase of the East Atlantic–West Russia (EAWR) pattern. By contrast, an early growing season start was linked to the positive phase of the North Atlantic Oscillation (NAO). The duration of the thermal spring season showed a strong association with the Scandinavian (SCA) pattern.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108752"},"PeriodicalIF":4.4,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Atmospheric CO₂ concentration gradients at the coastal region of the Yangtze River Delta: Patterns and drivers","authors":"Yi Lin ,&nbsp;Honggang Lv ,&nbsp;Kehan Chen ,&nbsp;Peng Guo ,&nbsp;Yifei Jiang ,&nbsp;Lin Xiao ,&nbsp;Tienan Zhao ,&nbsp;Haiyan Wang ,&nbsp;Yuanyuan Chen ,&nbsp;Kunpeng Zang ,&nbsp;Shuangxi Fang","doi":"10.1016/j.atmosres.2026.108746","DOIUrl":"10.1016/j.atmosres.2026.108746","url":null,"abstract":"<div><div>Atmospheric carbon dioxide (CO₂), the primary anthropogenic greenhouse gas, is a critical tracer for understanding carbon-cycle–climate feedback. Despite intense industrialization and population density, the Yangtze River Delta (YRD) lacks high-frequency in situ CO₂ observations in its coastal and marine-influenced zones. In this study, the continuous atmospheric CO₂ measurements collected between December 2020 and December 2022 at an urban tower in Shanghai and a coastal background site in Shengsi were analyzed. Results reveal a distinct bimodal diurnal cycle in Shanghai, primarily driven by local anthropogenic emissions, whereas Shengsi exhibits a unimodal pattern more closely coupled to biospheric processes and marine dilution. Nighttime data from Shanghai station reliably represents urban background concentrations, as the stable concentration performance, less planetary boundary layer (PBL) and anthropogenic impacts. Wind and trajectory analyses link CO₂ enhancement at Shanghai to emissions from northern and northwestern sectors, whereas Shengsi concentrations are modulated by ocean-atmosphere carbon exchange—as evidenced by correlations with sea surface temperature, salinity, and pressure, alongside stronger negative links to normalized difference vegetation index (NDVI) and air temperature compared to Shanghai. Furthermore, partial least squares regression (PLSR) further highlights the dominance of local emissions at Shanghai (&lt; 200 km scale) and oceanic/biospheric drivers at Shengsi, with regional transport amplifying variability across scales. These findings advance understanding of CO₂ spatiotemporal variability in coastal megaregions and provide an empirical basis for improving top-down carbon flux estimates and informing targeted climate mitigation strategies in eastern China.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108746"},"PeriodicalIF":4.4,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MCF-XCO2: A cross-mission consistency and fusion framework for integrating multi-satellite XCO2 observations","authors":"Yutang Yu ,&nbsp;Wenjie Tian ,&nbsp;Lili Zhang ,&nbsp;Tao Yu ,&nbsp;Yu Wu ,&nbsp;Tianhai Cheng","doi":"10.1016/j.atmosres.2026.108747","DOIUrl":"10.1016/j.atmosres.2026.108747","url":null,"abstract":"<div><div>Carbon satellites, as an essential means of obtaining atmospheric XCO₂ concentration, play a key role in monitoring the global carbon cycle. However, the differences in observation platforms, resolutions, and inversion algorithms among different satellites lead to apparent inconsistencies among multi-source XCO₂ data, which limits the joint application and comprehensive analysis of the data. In this paper, we develop a framework named <strong>MCF-XCO</strong>_{<strong>2</strong>} (<strong>M</strong>ulti-source <strong>C</strong>onsistency <strong>F</strong>usion of <strong>XCO</strong>_{<strong>2</strong>}) for correcting multi-source satellite XCO₂ observations and performing uncertainty-weighted fusion. The method leverages high-precision satellite products as references, while minimizing the need for direct ground-based correction, to enhance the consistency and overall accuracy of multi-source observations. Based on this framework, multi-source satellite data, including GOSAT, GOSAT-2, OCO-2, and OCO-3, were integrated to construct a sparsely gridded global XCO₂ fusion dataset at 0.01° × 0.02° nominal spatial resolution and nominal daily sampling, reflecting available observations. The findings indicate that the fused dataset shows improved coverage in grids with available observations compared to individual satellite products, improved accuracy, and better consistency over time. Independent validation against TCCON ground-based observations further confirms the method's effectiveness, with R² = 0.91, RMSE = 1.09 ppm, bias = 0.07 ppm, and MRE = 0.2 %. The spatial and temporal dynamic analysis of the fused dataset reveals the typical spatial structure and seasonal variation of global carbon concentration, demonstrating the potential application of this dataset in studying the carbon cycle. The MCF-XCO₂ framework is also designed to accommodate future satellite missions, supporting timely updates and extended temporal coverage.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108747"},"PeriodicalIF":4.4,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Case study of aircraft icing in-cloud measurements and explicit supercooled water prediction in Eastern China","authors":"Liping Luo ,&nbsp;Ming Xue ,&nbsp;Xin Xu ,&nbsp;Lin Deng ,&nbsp;Junxia Li ,&nbsp;Rong Zhang","doi":"10.1016/j.atmosres.2026.108748","DOIUrl":"10.1016/j.atmosres.2026.108748","url":null,"abstract":"<div><div>In the morning of 12 November 2022, severe aircraft icing occurred over Anhui Province, Eastern China during weather modification operations. In-situ airborne measurements revealed the presence of a substantial concentration of supercooled droplets with effective diameter exceeding 45 <span><math><mi>μ</mi></math></span>m, and liquid water content (LWC) above 1.2 g m⁻³ during the icing event.</div><div>Given the importance of microphysical parameterization (MP) scheme for icing conditions, simulations using different multi-moment MP schemes, i.e., WDM6, NSSL, Milbrandt-Yau (MY) schemes, are conducted at 1-km grid spacing for the case. Comparisons against satellite observations indicate that the general evolution of the frontal system and surface precipitation are well reproduced by the simulations. However, all simulations underpredict upper-level clouds with cloud-top temperature below 240 K over the northeastern part of the front. Besides, WDM6 scheme produces ice cloud-top area (CTA) closest to satellite observations but only produces approximately half of the observed CTA for supercooled cloud tops. The Milbrandt-Yau scheme shows superior performance in simulating the cloud top features during the icing event. Examinations of explicit supercooled cloud water (SCW) prediction skills indicate that WDM6 generates excessive total number concentration (<em>Nt</em>) of small SCW, with <em>Nt</em> reaching up to 10¹¹ m⁻³ and effective diameter (<em>ED</em>) below 20 <span><math><mi>μ</mi></math></span>m. In contrast, the NSSL scheme produces significantly larger SCW particles but substantially lower <em>Nt</em> at approximately 10⁷ m⁻³ and <em>ED</em> of above 200 <span><math><mi>μ</mi></math></span>m. Notably, the particle size distribution of SCW predicted by MY scheme is more realistic compared with in-situ aircraft measurements.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108748"},"PeriodicalIF":4.4,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"K-means clustering analysis of autumn rainfall patterns over West China and their underlying mechanisms","authors":"Han Zhang,&nbsp;Ke Fan","doi":"10.1016/j.atmosres.2026.108745","DOIUrl":"10.1016/j.atmosres.2026.108745","url":null,"abstract":"<div><div>Through k-means clustering analysis, this study identified three dominant anomalous patterns of autumn rainfall over West China: (1) a region-wide positive anomalies in precipitation, (2) a south-positive–north-negative dipole pattern, and (3) a west-positive–east-negative dipole pattern. The first two patterns account for most of the explained variance annually. The first pattern is influenced primarily by a strengthened and westward-extended western Pacific subtropical high and an intensified East Asian subtropical jet (EAJ), driven mainly by negative sea surface temperature (SST) anomalies in the tropical central-eastern Pacific. Reduced snow cover over the Tibetan Plateau also plays a moderating role by altering the thermal forcing that affects the EAJ. The second pattern is associated mainly with an anomalous anticyclone over the South China Sea and a weakened, southward-shifted EAJ, which are closely linked to El Niño-like SST anomalies in the tropical central-eastern Pacific and cold SST anomalies in the eastern North Atlantic. The above mechanisms were verified using the Linear Baroclinic Model and the ECHAM5 model.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108745"},"PeriodicalIF":4.4,"publicationDate":"2026-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145894970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of orography on extreme rainfall event in Thoothukudi, Tamil Nadu: Role of lateral and cross-barrier mountain effects","authors":"K.L. Arunkumar ,&nbsp;Yesubabu Viswanadhapalli ,&nbsp;C.V. Srinivas ,&nbsp;Naresh Krishna Vissa ,&nbsp;J. Solomon Ivan","doi":"10.1016/j.atmosres.2026.108738","DOIUrl":"10.1016/j.atmosres.2026.108738","url":null,"abstract":"<div><div>On 17 December 2023, an exceptionally heavy rainfall event occurred at the southeastern tip of Tamil Nadu, with Kayalpattinam of Thoothukudi district recording 94 cm of rainfall in a single day, which caused widespread flooding in the region and its neighbourhood. This event was triggered by a low-pressure (LP) system moving northwestward through a complex terrain setting, bordered by the Western Ghats (WG) to the west and the Sri Lankan Mountains to the east. This synoptic event presents a rare opportunity to examine lateral and cross-barrier topographic influences on extreme rainfall. Three high-resolution cloud-resolving simulations were conducted using the Weather Research and Forecasting (WRF) model to investigate the role of mountains in modulating this localised extreme rainfall. The study carried out (1) a control simulation (CNTRL) with natural terrain, (2) a simulation without the Sri Lankan Mountain topography (NTSLI), and (3) a simulation with removing mountains over the entire domain (NTWDOM). The CNTRL simulation accurately reproduced the features of the observed rainfall and indicated an extension of the LP system towards the east coast, leading to a sustained localised moisture convergence and deep convection. Further, the simulation highlighted the formation of a cold pool in the windward regions of the WG due to the evaporative cooling and effective orographic blocking during the event. The NTSLI simulated eastward extension of LP system with its centre shifted in southwestward compared to the CNTRL and exhibited relatively stronger easterly winds in the absence of the Sri Lankan Mountains. The enhanced easterlies produced multiple moisture convergence zones, thereby altering convective processes and leading to reduced rainfall over the Tamil Nadu coast. The simulation indicated a southwestward shift in the rainfall pattern. In contrast, the NTWDOM simulation, with no orographic barriers, inhibited cold pool formation, dispersed moisture convergence, and resulted in weaker convection, as well as a westward displacement of rainfall towards the Arabian Sea. Our results clearly highlight that, apart from cross-orographic barriers, lateral orographic features also play a critical role in modulating the location, intensity, spatial distribution, and evolution of extreme rainfall events by influencing synoptic systems, moisture dynamics, and convective processes.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108738"},"PeriodicalIF":4.4,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tropical cyclone intensity sensitivity to sea surface temperature and mixed layer depth","authors":"Evan David Wellmeyer, Antonio Ricchi, Rossella Ferretti","doi":"10.1016/j.atmosres.2025.108726","DOIUrl":"https://doi.org/10.1016/j.atmosres.2025.108726","url":null,"abstract":"","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"29 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment","authors":"Zongjun Li ,&nbsp;Qiongqiong Wang ,&nbsp;Yongyi Zhao ,&nbsp;Zhongliang Huang ,&nbsp;Kezheng Liao ,&nbsp;Huan Yu ,&nbsp;Shaofei Kong ,&nbsp;Nan Chen ,&nbsp;Bo Zhu ,&nbsp;Xiao He ,&nbsp;Mingjie Xie ,&nbsp;Jian Zhen Yu","doi":"10.1016/j.atmosres.2025.108736","DOIUrl":"10.1016/j.atmosres.2025.108736","url":null,"abstract":"<div><div>Brown carbon (BrC) is an important constituent of atmospheric carbonaceous aerosols, and accurately measuring its mass concentration and optical property is of great importance to reduce its uncertainties in model parametrization. This study deployed the novel Bayesian inference (BI) model to determine the BrC mass concentration and absorption on an hour-by-hour basis, using online measurements of multi-wavelength light absorption and total carbon (TC) data over June and December 2023 in Wuhan, central China. BrC mass contributed to 42 % of the TC aerosol and showed comparable level in two months, while its absorption showed distinct seasonal contrast with much higher values in December. Important BrC compositions including various organic tracers were measured, taking advantage of the concurrently collected daily 12-h offline filter samples. BrC mass and absorption showed good correlations with important components such as oxygenated-polycyclic aromatic hydrocarbons (PAHs), light PAHs and biomass burning tracer-saccharides. Organic-tracer based source apportionment was conducted for both BrC mass and absorption, and nine distinct source factors were resolved. Secondary sources especially secondary organic aerosol (SOA) factor dominated BrC mass contributions in June, while biomass burning emerged as the primary source in December. The primary sources contributing to BrC absorption were SOA and biomass burning in June, while biomass burning dominated in December. Coal combustion, which was a minor source to BrC mass, was a non-negligible contributor to BrC absorption in both months. Different control measures should be implemented to effectively control BrC mass for improved air quality and to mitigate BrC absorption for its climate effect. The results from this study broaden our understandings of the relationship among chemical, optical and sources of BrC, offering significant implications for environmental management.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"333 ","pages":"Article 108736"},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing ozone persistence under typhoon subsidence in the Greater Bay Area using lidar observations","authors":"Rui He ,&nbsp;Zhongcai Wang ,&nbsp;Yongfan Wu ,&nbsp;Yan You ,&nbsp;Yan Xiang ,&nbsp;Andi Zhang ,&nbsp;Chenglei Pei ,&nbsp;Tianshu Zhang","doi":"10.1016/j.atmosres.2026.108737","DOIUrl":"10.1016/j.atmosres.2026.108737","url":null,"abstract":"<div><div>Ozone (O₃) pollution poses a critical air quality challenge in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), particularly under typhoon peripheral circulation. However, the vertical processes governing O₃ persistence remain poorly understood. This study investigates a persistent O₃ pollution episode in July 2023 using the WRF-Chem model, data assimilation, and the GBA O₃ Lidar Network. Results reveal pronounced city-specific differences in O₃ persistence mechanisms. In Macao, extended O₃ exceedance was driven by persistent typhoon-induced subsidence, suppressed boundary-layer mixing, and convergence of transported O₃-rich air masses, forming a regional O₃ pool. Conversely, Shenzhen experienced rapid O₃ dissipation due to the inflow of cleaner maritime masses. Lidar observations captured distinct O₃ stratification within boundary layer under the influence of typhoon subsidence. These findings elucidate city-specific O₃ responses under complex meteorological conditions, providing robust scientific guidance for tailored air quality strategies in coastal megacity clusters.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"333 ","pages":"Article 108737"},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gobi-sourced dust and dust–climate feedbacks in the March 2023 East Asian storm","authors":"Shuna Liang ,&nbsp;Bin Wang ,&nbsp;Yurui Zhang ,&nbsp;Junhua Yang ,&nbsp;Ove W. Haugvaldstad ,&nbsp;Hui Tang","doi":"10.1016/j.atmosres.2025.108735","DOIUrl":"10.1016/j.atmosres.2025.108735","url":null,"abstract":"<div><div>Amid escalating climate change and environmental instability, understanding the origins, transport mechanisms, and climatic-environmental impacts of intensifying East Asian dust storms has become crucial for global sustainability science. However, current research still faces critical limitations with lacking city- or site-level resolution for source apportionment, and quantitative assessments of the climatic and environmental effects of severe dust events are still insufficient. Here, we integrated in situ measurements, reanalysis datasets, and numerical simulations to investigate the extreme East Asian dust storm in March 2023. Results indicated that the Gobi Desert was the dominant source, contributing approximately 74.9–94.6 % to PM₁₀ levels across four northern Chinese cities. Fine particles (2.5–5.0 μm) exhibited faster and higher-altitude transport than coarse particles (&gt;7.5 μm), with consistent northwestward advection. Size-dependent deposition regimes emerged – dry deposition peaked for 7.5–10 μm particles, while wet deposition shifted from 5 to 7.5 μm in source regions to 2.5–5.0 μm in downwind North China. Crucially, we quantify the dust–climate feedback loop where aerosol-induced surface cooling by reducing surface solar radiation of 2.4–4.8 W m⁻², which in turn suppresses surface turbulent kinetic energy and decrease the boundary layer height up to 40 m. The enhanced boundary layer stability subsequently promoted futher dust accumulation. By elucidating this positive feedback mechanism, our study moves beyond established correlations to reveal a key process amplifying extreme dust storms, with critical implications for predicting their intensity and impacts under a changing climate.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108735"},"PeriodicalIF":4.4,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}