Journal of Atmospheric and Solar-Terrestrial Physics最新文献

{"title":"Explanation of the data on densities of nitrogen oxides in the immediate neighborhood of ball lightning","authors":"Mikhail L. Shmatov","doi":"10.1016/j.jastp.2025.106428","DOIUrl":"10.1016/j.jastp.2025.106428","url":null,"abstract":"<div><div>The data on densities of nitrogen oxides in air sample, taken by M.T. Dmitriev in the immediate neighborhood of ball lightning, are explained for the first time within framework of ball lightning model based on the assumption that ball lightning has a core consisting of clouds of electrons and ions which oscillate with respect to each other and undergo the random motion disturbing the oscillatory one. According to the model, the nitrogen oxides in the air sample were produced mainly due to absorption of photons with energies of 100 eV to 10 keV, emitted by the ball lightning. The model also explains 75–80 s long lifetime of ball lightning observed by M.T. Dmitriev and yields that the ionizing radiation dose received by him was compatible with his survival.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"268 ","pages":"Article 106428"},"PeriodicalIF":1.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing long-term cosmic ray time series with geometric network curvature metrics","authors":"D. Sierra-Porta","doi":"10.1016/j.jastp.2025.106418","DOIUrl":"10.1016/j.jastp.2025.106418","url":null,"abstract":"<div><div>This study investigates the relationship between geometry and nonlinear dynamics in time series of cosmic ray counts recorded at neutron monitors at ground stations. Using advanced geometric and topological analysis techniques, we construct complex networks from the time series and calculate curvature measures such as Ollivier-Ricci curvature, Forman-Ricci curvature, and Ricci flow for each series. The analysis reveals significant correlations between these curvature metrics and key parameters such as geomagnetic cutoff rigidity and detector latitude. In particular, Forman-Ricci curvature exhibits a robust negative correlation with cutoff rigidity (Pearson <span><math><mrow><mi>r</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>85</mn></mrow></math></span>, Spearman <span><math><mrow><mi>ρ</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>86</mn></mrow></math></span>, <span><math><mi>p</mi></math></span>-value <span><math><mrow><mo>&lt;</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>5</mn></mrow></msup></mrow></math></span>), while Ricci flow also shows a strong and highly significant inverse relationship with cutoff rigidity (Pearson <span><math><mrow><mi>r</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>92</mn></mrow></math></span>, Spearman <span><math><mrow><mi>ρ</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>89</mn></mrow></math></span>, <span><math><mi>p</mi></math></span>-value <span><math><mrow><mo>&lt;</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></math></span>). These results suggest that the geometrical structure of the networks, influenced by geomagnetic conditions, plays a crucial role in the variability, complexity, and fractality of cosmic ray time series. Furthermore, the study underscores the importance of considering network topology and curvature metrics in the analysis of cosmic ray data, offering new perspectives for understanding space weather phenomena and improving predictive models. This integrative approach not only advances our knowledge of cosmic ray dynamics, but also has important implications for mitigating risks associated with space weather conditions on Earth.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"268 ","pages":"Article 106418"},"PeriodicalIF":1.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Observation and simulation studies of ionospheric F-region in the South American and Antarctic sectors in the intense geomagnetic storm of August 2018","authors":"A.J. de Abreu ,&nbsp;E. Correia ,&nbsp;O.F. Jonah ,&nbsp;K. Venkatesh ,&nbsp;E.G. Thomas ,&nbsp;R. de Jesus ,&nbsp;M. Roberto ,&nbsp;J.R. Abalde ,&nbsp;P.R. Fagundes","doi":"10.1016/j.jastp.2024.106394","DOIUrl":"10.1016/j.jastp.2024.106394","url":null,"abstract":"<div><div>In this investigation, we present and discuss the ionospheric F region observations in the equatorial, low-, mid-, and near high-latitude regions in the South American and Antarctic sectors during the intense geomagnetic storm that occurred on 25–27 August 2018. The geomagnetic storm reached a minimum Dst of −175 nT at ∼0700 UT on 26 August. We present the variations of vertical total electron content (VTEC) from a chain of almost 200 GPS stations, covering the South American and Antarctic sectors. A comparison with model simulations from the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE-GCM) is realized. The results obtained show that during the main phase of the storm, a southward Bz component of the interplanetary magnetic field (IMF) and an eastward prompt penetration electric field (PPEF) can be observed, but they had no significant impact on the ionospheric plasma. A long recovery phase a predominance of positive phase is observed during daytime. The observations show the effects of an unusual case of multiple PPEF, occurred on 26 August, and effects of thermospheric winds disturbances, occurred on 27 August, resulting in increased VTEC values on both days. The TIE-GCM model reproduces the VTEC increases during the main and recovery phases from mid-latitudes to the equatorial region, but it underestimates the observed values near high-latitudes.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106394"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual polarization characteristics of three consecutive squall lines with heavy rainfall","authors":"Fujing Wan ,&nbsp;Xiuguang Diao ,&nbsp;Huaji Pang","doi":"10.1016/j.jastp.2024.106404","DOIUrl":"10.1016/j.jastp.2024.106404","url":null,"abstract":"<div><div>Herein, the dynamic and cloud physical structure characteristics of three squall lines with heavy precipitation on May 26, 2021 (Case A), June 30, 2021 (Case B) and July 31 to August 1, 2021 (Case C) were analyzed based on S-band dual polarization weather radar data. The results showed that: (1) High concentrations of large liquid particles accumulated in the low-level strong echo areas of the three squall lines, with predominant presence on both sides of the front of the squall line. The high-value area of the echo contained melted small hail particles, whereas the bow-shaped echo area was primarily composed of small liquid particles. (2) From vertical structures, different structural characteristics were observed on the front and back of the squall line. There were K_DP and Z_DR columns on the front side of the storm. The Z_DR column exhibited a greater height compared to the K_DP column. The strong updraft zone was primarily composed of low-concentration liquid large particles, with a small amount of melted ice particles observed below the height of the −10 °C level within the Z_DR column. Above the height of 10 °C level, the Z_DR value was relatively small, mainly composed of graupel particles. Below the zone of the Z_DR high value behind the storms, there were liquid large particles and melted small hail particles. Above this height, the composition was mainly graupel or ice particles. (3) There is a certain difference in the amount of precipitation per minute, but the biggest difference is manifested in the duration of precipitation. Among them, due to the largest raindrop diameter of the squall line in Case A, Z_H and Z_DR were the largest, and the smallest Z_H and Z_DR were observed in Case C. In Case C, the precipitation exceeded 2 mm per minute. A comparison with the 1–2 mm/min range revealed that Z_DR and correlation coefficient (CC), remained essentially the same, but K_DP was larger. The high concentration of precipitation particles resulted in a significantly higher rainfall efficiency, leading to a greater intensity of precipitation per minute.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106404"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating water use efficiency and CO₂ absorption in plants under rising atmospheric carbon dioxide levels","authors":"Alberto Boretti","doi":"10.1016/j.jastp.2024.106409","DOIUrl":"10.1016/j.jastp.2024.106409","url":null,"abstract":"<div><div>While elevated CO₂ levels have been shown to initially enhance photosynthesis, the long-term global effects on photosynthesis rates are influenced by a complex set of interacting factors. Although theoretical thresholds exist where further increases in CO₂ could potentially reduce photosynthesis, current research suggests that these levels remain far off. Contrary to recent reports suggesting a decline in water use efficiency (WUE) in plants, a review of the latest literature indicates that plants are, in fact, using water more efficiently while continuing to absorb atmospheric CO₂. This analysis highlights that rising CO₂ concentrations are contributing to improved WUE in plants, reflecting an adaptive response rather than a decline in functionality.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106409"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One-hour-ahead solar irradiance forecast based on real-time K-means++ clustering on the input side and CNN-LSTM","authors":"Yunxiao Chen ,&nbsp;Chaojing Lin ,&nbsp;Jinfu Liu ,&nbsp;Daren Yu","doi":"10.1016/j.jastp.2024.106405","DOIUrl":"10.1016/j.jastp.2024.106405","url":null,"abstract":"<div><div>With the increasing proportion of photovoltaic power generation in the power system, accurate solar irradiance forecasting is crucial for power grid scheduling. The paper proposes a approach of clustering modeling and joint forecasting for solar irradiance: firstly, by using the real-time K-means++ to cluster the GHI sequence on the input side of the model, the model input is divided into 4 clusters. The number of clusters and clustering methods are quickly determined through sensitivity experiments. Then 4 CNN-LSTM models, corresponding to the 4 clusters, are separately established and trained to fully extract multivariate and multi-temporal information from the input side. These 4 models are combined to achieve 1-h-ahead solar irradiance forecast with higher accuracy. To verify the effectiveness of the proposed method, Auto regressive (AR), Convolutional neural network (CNN), Long short-term memory (LSTM) and Gradient boosting decision tree (GBDT) are used as comparative models. The results indicate that the proposed K-means++_CNN-LSTM is a feasible method, with MAE decreasing by about 9.13%, RMSE decreasing by about 6.58%, and <span><math><mrow><mi>ρ</mi></mrow></math></span> increasing by about 1.46%, compared to K-means++_AR. Finally, T-test is used to verify the positive impact of the proposed framework on model accuracy.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106405"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifractal detrended cross-correlation coefficient for cosmic ray and sunspot time series","authors":"D. Sierra-Porta","doi":"10.1016/j.jastp.2024.106407","DOIUrl":"10.1016/j.jastp.2024.106407","url":null,"abstract":"<div><div>This study delves into the multifractal cross-correlations between cosmic ray intensity and sunspot numbers, addressing the shortcomings of traditional correlation analyses that often fail to capture the intricate and multifractal nature of these time series. Cosmic rays and solar activity are critical components of space weather dynamics, and understanding their interactions is essential for predicting space weather events that can affect satellite operations, communication systems, and even climate on Earth. We employ Multifractal Detrended Cross-Correlation Analysis (MFDCCA) to explore these complex relationships across a range of time scales. Our methodology involves segmenting the time series into windows of varying lengths, from 50 to 3900 days, and calculating cross-correlation coefficients for different polynomial fitting orders and fluctuation orders <span><math><mrow><mi>q</mi><mo>=</mo><mrow><mo>[</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>5</mn><mo>]</mo></mrow></mrow></math></span>, using polynomial orders of 2, 3, 4, and 5. This approach allows us to capture the multifractal properties and temporal dependencies within and between the series.</div><div>Our analysis reveals significant multifractal correlations, with the highest correlation coefficient of 0.876 occurring for <span><math><mrow><mi>q</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mrow></math></span> and polynomial order 2 with a lag of 57 days. The results demonstrate that higher polynomial orders result in more stable and robust coefficients, indicating stronger correlations on larger scales. These findings highlight the efficacy of advanced techniques like MFDCCA in uncovering the complex interactions between cosmic rays and solar activity, which are often missed by conventional methods. The implications of our study extend to the enhancement of space weather prediction models. By incorporating additional heliophysical variables such as solar wind conditions, interplanetary magnetic field data, and indices of coronal mass ejections or solar flares, future research can construct more comprehensive models that better capture the multifractal interactions governing these phenomena. This expanded understanding is crucial for improving the accuracy of space weather forecasts and mitigating the potential impacts of space weather events on technological and natural systems.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106407"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aerosol radiation characteristics based on Himawari-8 and AERONET in Beijing city","authors":"Qianjun Mao ,&nbsp;Xiaoyan Zhang","doi":"10.1016/j.jastp.2024.106411","DOIUrl":"10.1016/j.jastp.2024.106411","url":null,"abstract":"<div><div>Aerosol radiative forcing (ARF) is an important parameter that describes the impact of atmospheric aerosols on the earth-atmosphere radiation balance. This parameter holds significant importance for environmental monitoring and understanding climate change. Aerosol optical depth (AOD) reflects the degree of atmospheric pollution and plays a key role in evaluating ARF. In this paper, the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) is utilized to calculate the ARF in different AOD in Beijing. The variation characteristics of ARF at different time scales are also studied. Meanwhile, the characteristics of ARF under different cloud types are analyzed, and the coupling relationship between cloud parameters and ARF is proposed. The results show the ARF of absorptive aerosol is comparable to that of fine-mode aerosol, while coarse-mode aerosol have the minimum ARF. The ARF varies significantly under different cloud types. The ARF varies from −59.18 ± 11.64 W/m² to −104.52 ± 20.90 W/m² at the bottom of atmosphere (BOA), from −9.94 ± 1.99 W/m² to −27.41 ± 4.11 W/m² at the top of the atmosphere (TOA), and from 49.24 ± 9.85 W/m² to 77.11 ± 15.42 W/m² at the atmosphere (ATM). The results also show a strong correlation between cloud optical thickness and ARF among cloud parameters. This paper contributes to a deeper understanding of aerosol-cloud interactions in the earth-atmosphere system and is important for predicting future climate change.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"266 ","pages":"Article 106411"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermodynamic control of lightning activity in premonsoon and monsoon season over the Indian region","authors":"B. Abida Choudhury,&nbsp;M.I.R. Tinmaker","doi":"10.1016/j.jastp.2024.106410","DOIUrl":"10.1016/j.jastp.2024.106410","url":null,"abstract":"<div><div>Understanding the relationship between lightning activity and atmospheric thermodynamics is important for improving thunderstorm forecasting and mitigating lightning-related hazards. The study investigates the linkage between lightning activity and thermodynamic indices over the Indian subcontinent during pre-monsoon and monsoon seasons across 17 years (1998–2014). The flash count data was obtained from the Tropical Rainfall Measuring Mission's (TRMM) Lightning Imaging Sensor (LIS); the upper air sounding data for thermodynamic indices was archived from the University of Wyoming. Additionally, air temperature and relative humidity data at various pressure levels were retrieved from the National Oceanic and Atmospheric Administration (NOAA) during the same period over the Indian region. In the present study, the results indicate that the flash counts, surface maximum temperature, and Deep Convective Index (DCI) show a high peak in the month of May, before the onset of monsoon season. The higher peak of surface maximum temperature and DCI value is associated with strong convection which plays a crucial role in the occurrence of high lightning activity. The Bowen ratio (BR), planetary boundary layer (PBL), and Vertical Total Index (VTI) show a high peak in May. These are because of increased sensible heat flux and a strong vertical lapse rate. The PBL and high Cross Total Index (CTI) values contribute to more lightning strikes during the pre-monsoon season. The decrease in flash count and thermodynamic indices after the onset of monsoon season is due to the transport of more moisture from the ocean into the free atmosphere, large cloud coverage, shallow convection, slow charging mechanism, low cloud electrification and hence low lightning activity. The present study underscores the importance of evaluating threshold values of thermodynamic indices during seasonal transitions (premonsoon to monsoon season), which is useful for predicting the severity of thunderstorm formation and lightning intensity over the Indian region.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"268 ","pages":"Article 106410"},"PeriodicalIF":1.8,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143270166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal variability of ozone and its precursors at tropical megacity, Bengaluru, India: Effect of volatile organic compounds and meteorology","authors":"G. Dhanya ,&nbsp;T.S. Pranesha ,&nbsp;Sandip Nivdange ,&nbsp;Kamsali Nagaraja ,&nbsp;B.S. Murthy ,&nbsp;D.M. Chate ,&nbsp;Gufran Beig ,&nbsp;Nitin R. Karmalkar","doi":"10.1016/j.jastp.2024.106388","DOIUrl":"10.1016/j.jastp.2024.106388","url":null,"abstract":"<div><div>Routine observations of surface ozone (O₃) and its precursors (NO, NO₂, NOx) were taken over Bengaluru, a southern megacity, India, for 4 years period between January 2015 and December 2018. The seasonal variations of O₃, NO, NO₂, and NOx have been analysed to understand the short-term variability of the pollutants at this site. The magnitude of O₃ varied significantly by season, with maximum concentration during winter (13.07 ppbv) and minimum concentration during monsoon (9.52 ppbv). The highest concentration was observed in the post-monsoon season (17.38 ppbv) for NO, while NO₂ and NO_x showed the highest (41.75, 50.42 ppbv) in the winter season. The lowest concentrations of NO (5.70 ppbv), NO₂ (30.43 ppbv) and NOx(36.28 ppbv) were observed in summer. An estimate was performed to determine the site's VOC-NOx sensitivity, using the TNMHC/NO_X ratio as a photochemical measure. This ratio indicates that the study region is NO_X responsive in all seasons. Analysis was done on the effects of meteorological factors such as temperature, water vapour, and ventilation coefficient on pollutants. Higher correlation of O₃ with temperature showed the role of photochemical reactions in the formation of ozone and water vapour content leads to the removal of ozone concentration. The influence of meteorological variables on NO₂ and TNMHC did not appear to be very significant. An analysis of CAMS data with real-time measurements of ozone and oxides of nitrogen showed that ozone is significantly correlated, while nitrogen oxides are not significantly correlated with CAMS data.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"265 ","pages":"Article 106388"},"PeriodicalIF":1.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}