Journal of Atmospheric and Solar-Terrestrial Physics最新文献

{"title":"Pre-seismic ionospheric disturbances (PIDs) associated With 2021 Mw 7.5 Northern Peru earthquake: GNSS and ground uplift observations","authors":"Oluwasegun M. Adebayo ,&nbsp;Esfhan A. Kherani ,&nbsp;Alexandre A. Pimenta ,&nbsp;Babatunde Rabiu","doi":"10.1016/j.jastp.2025.106644","DOIUrl":"10.1016/j.jastp.2025.106644","url":null,"abstract":"<div><div>Predicting natural disasters such as earthquakes remains a major challenge in geosciences, with critical implications for early warning systems and disaster risk reduction. Among various precursory signals, ionospheric anomalies have gained increasing attention as potential indicators of impending seismic events. In this study, we examine pre-seismic ionospheric disturbances (PIDs) associated with the Mw 7.5 Northern Peru earthquake on November 28, 2021, using Global Navigation Satellite System (GNSS) Total Electron Content (TEC) and ground vertical velocity data. Significant sequential negative TEC anomalies were observed up to two hours prior to the mainshock, with multiple disturbances recorded by several GNSS receivers. The amplitudes of these disturbances increased as the earthquake approached, suggesting a progressive ionospheric response to the buildup of tectonic stress. Spectral analysis using the Short-Time Fourier Transform revealed center frequencies between 3.63 mHz and 4.80 mHz — within the acoustic/infrasonic range — indicating that such waves, possibly generated by foreshocks, may be responsible for these PIDs. To rule out other sources of TEC anomalies, we examined the TEC data for the previous day along the same trajectories and found no similar disturbances. Furthermore, geomagnetic conditions were quiet during the period, as indicated by Kp and Dst indexes two days before and after the earthquake. These findings contribute to the understanding of seismo-ionospheric coupling and highlight the potential role of ionospheric monitoring as a complementary approach to conventional seismic methods in earthquake early warning systems.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106644"},"PeriodicalIF":1.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221899","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":"Estimation of ERA5 tropospheric parameters using GNSS data over Tashkent","authors":"H.E. Eshkuvatov ,&nbsp;Sh.N. Mardonov ,&nbsp;O.V. Xudoynazarov ,&nbsp;Z.J. Ruziev ,&nbsp;Sh.Sh. Numonjonov ,&nbsp;J.R. Hoshimov ,&nbsp;F.X. Asatullayev ,&nbsp;I.M. Egamberdiev ,&nbsp;M.A. Musurmonov","doi":"10.1016/j.jastp.2025.106648","DOIUrl":"10.1016/j.jastp.2025.106648","url":null,"abstract":"<div><div>Remote sensing of atmospheric water vapor using Global Navigation Satellite System (GNSS) signals has become an important technique in meteorology, weather forecasting, and climate research. This study investigated regional atmospheric variability over Tashkent, Uzbekistan, by analyzing ten key atmospheric parameters from the ERA5 reanalysis and retrieving precipitable water vapor (PW) from GNSS-derived tropospheric delay data. The analysis covered the period from 12 to 22 February 2025 (day of year 43–53), using ground-based observations from the Tashkent (TASH) and Maidantal (MTAL) GNSS stations. The primary aim was to enhance the characterization of regional atmospheric dynamics and to evaluate the potential of GNSS-derived PW for improving precipitation forecasting when combined with reanalysis data. The results revealed a strong correlation between GNSS-derived and ERA5-derived PW values, indicating that GNSS tropospheric delay observations reliably capture short-term variations in atmospheric water vapor. These findings confirm the utility of integrating GNSS retrievals with reanalysis products for high-resolution monitoring of atmospheric processes in Central Asia.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106648"},"PeriodicalIF":1.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221900","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":"Identification and distribution of wet and dry season in the 70 most populated cities in India","authors":"Sumanta Dandapath ,&nbsp;Abhijit Patil ,&nbsp;Dhanashri Suresh Shinde ,&nbsp;Praveen Kumar Pathak","doi":"10.1016/j.jastp.2025.106649","DOIUrl":"10.1016/j.jastp.2025.106649","url":null,"abstract":"<div><div>In this paper, for the first time, we have attempted to identify the length and distribution of the wet and dry season of the 70 most populated cities in India based on the relative intra-annual distribution of rainfall observed during the last three decades (1991–2020). The wet season in the cities under investigation is rather continuous and usually lasts for 4–8 months. The distribution of the wet months however indicates significant variation, particularly for the cities located in the southern and northern periphery of the country. The cities located in the remaining areas even though have been receiving rainfall primarily during the Indian Summer Monsoon (ISM), the length of the wet season however varies among them. The present study also highlights that the average length of the wet season in India is not always four months; instead, it is a little over 5 months long in general. The length and distribution of the dry season also indicate that most cities receive a very negligible amount of rainfall for more than five months. The average amount of rainfall received by the cities during their respective dry season (4.1 %) is about 22 times lower than the average amount of rainfall received during their respective wet season (90.2 %). Noticeable variation in the amount of annual rainfall, length of dry and wet season, and amount of rainfall received in their respective wet and dry season among cities within each of the four homogeneous regions is also a significant finding of the present work.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106649"},"PeriodicalIF":1.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221941","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":"Dynamics of atmospheric temperature inversions in Dammam, Saudi Arabia: Long-term characterization and trends","authors":"Abdullrahman Maghrabi,&nbsp;Abdulah Al-Dosari,&nbsp;Mohammed Altlasi,&nbsp;Abdulah Alsherhri,&nbsp;Maohammed Almutairi","doi":"10.1016/j.jastp.2025.106645","DOIUrl":"10.1016/j.jastp.2025.106645","url":null,"abstract":"<div><div>This study investigates the temporal variability of temperature inversions below 5000 m in Dammam, Saudi Arabia(26.4°N, 50.1°E), over a 38-year period from 1985 to 2023, using radiosonde data to analyze six critical variables: base height (H_i), maximum height (H_f), temperature at the base (T_i), temperature at the maximum height (T_f), height difference (DH), and temperature difference (DT). Considering the temperature inversions occurred below 5000 m and with DT greater than 1 C, a total of 13744 temperature inversion events were recognized and investigated. Analysis revealed predominant low-level inversions (76.07 % below 1000 m) with strong nocturnal occurrence (∼70 %). High-level inversions showed seasonal variations in H_i (1900 ± 100 m in winter, 2500 ± 100 m in summer) and T_i (5.98 ± 2.0 °C in January, 22.30 ± 2.0 °C in June), with H_f consistently 200–300 m higher and Tf 2–3 °C warmer. DH ranged annually between 170 ± 50 m and 220 ± 50 m, with nocturnal low-level inversions showing the largest stable vertical extent (296 ± 23 m). Inversion frequencies increased over time, particularly at higher altitudes, with robust trends confirmed by Mann-Kendall and regression analyses (91.7 % concordance). These patterns, driven by radiative cooling, sea-land breezes, and urban heat island effects, suggest significant implications for air quality and urban planning in Dammam's coastal desert environment.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106645"},"PeriodicalIF":1.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156582","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":"Drought and flood evolution characteristics during winter rapeseed season based on the Z-index in Hubei Province, China","authors":"Yaotian Tian,&nbsp;Enhao Zhang,&nbsp;Yongyuan Huang,&nbsp;Ming Huang,&nbsp;Haoran Shi,&nbsp;Hui Chen","doi":"10.1016/j.jastp.2025.106646","DOIUrl":"10.1016/j.jastp.2025.106646","url":null,"abstract":"<div><div>Analyzing drought and flood characteristics is of great significance to ensure production security, disaster prevention, and mitigation. Hubei Province, as a major rapeseed-producing area in China, is crucial for the nation's edible oil supply. However, there were no studies on drought and flood characteristics during rapeseed season in Hubei Province. To study the drought and flood evolution, daily meteorological data from 28 surface weather stations in Hubei Province during the rapeseed season from 1960 to 2019 was adopted to calculate the Z-index. The Mann-Kendall trend test and wavelet analysis were employed. The results indicated that precipitation at the seedling, flowering, ripening, and whole growth stages of rapeseed generally decreased by 4.79, 2.14, 2.58, and 7.38 mm (10 yr)⁻¹, respectively. Precipitation at the budding stage of rapeseed increased by 1.74 mm (10 yr)⁻¹. Based on the Mann-Kendall trend test, the mutation of precipitation at the seedling, budding, flowering, ripening, and whole growth stages of rapeseed began in 1987, 1983, 1961, 1960, and 1968, respectively. Precipitation at the seedling, ripening, and whole growth stages decreased from south to north across Hubei Province. From southeast to northwest of Hubei Province, precipitation at the budding and flowering stages decreased. A shift from drought to flood was observed at the budding stage, whereas a shift from flood to drought occurred at the other stages. Severe drought (15.0 %) and mild drought (20 %) occurred most frequently at the flowering stage. Severe flood occurred most often at the budding stage (16.7 %), moderate flood at the ripening stage (13.3 %), and mild flood at the seedling stage (13.3 %). According to the wavelet analysis, the cycles of drought and flood disasters at the seedling, budding, flowering, ripening, and whole growth stages were 28, 23, 14, 18, and 7 years, respectively. This study provides a scientific basis for predicting drought and flood disasters and guiding rapeseed production in Hubei Province.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106646"},"PeriodicalIF":1.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156447","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":"Time series analysis of the impact of global warming on Türkiye","authors":"Arif Ozbek,&nbsp;Mehmet Bilgili","doi":"10.1016/j.jastp.2025.106647","DOIUrl":"10.1016/j.jastp.2025.106647","url":null,"abstract":"<div><div>According to the assessments of the Intergovernmental Panel on Climate Change (IPCC), Türkiye, located within the Mediterranean basin, is among the regions most susceptible to the adverse impacts of climate change. This heightened vulnerability is largely attributed to its geographic location, climatic characteristics, and socio-economic structure, which together amplify the risks associated with rising temperatures and increasing climate variability. In the present study, monthly mean air temperature data for Türkiye, recorded by the Turkish State Meteorological Service between 1970 and 2022 (TSMS dataset), were analyzed in combination with reanalysis-based satellite observations obtained from the ERA5 (ERA5 dataset). These historical records formed the foundation for developing temperature projections extending to the year 2050. To achieve this, two complementary time-series forecasting approaches were applied: the Long Short-Term Memory (LSTM) deep-learning model, known for its ability to capture nonlinear dependencies and long-range temporal patterns, and the Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model, a classical statistical method suitable for handling seasonality and trend components in climate data. The projection results revealed that Türkiye's mean temperature anomaly relative to the 1970–1980 baseline period is expected to rise by approximately 2.52 °C when based on in-situ observational data, and by about 3.48 °C when derived from ERA5 reanalysis estimates. These findings consistently indicate a significant warming trajectory, regardless of the dataset or modeling approach applied.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106647"},"PeriodicalIF":1.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156583","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":"Long-term projections of global, northern hemisphere, and arctic sea ice concentration using statistical and deep learning approaches","authors":"Mehmet Bilgili ,&nbsp;Engin Pinar ,&nbsp;Md. Najmul Mowla ,&nbsp;Tahir Durhasan ,&nbsp;Muhammed M. Aksoy","doi":"10.1016/j.jastp.2025.106634","DOIUrl":"10.1016/j.jastp.2025.106634","url":null,"abstract":"<div><div>The accelerating decline in sea ice concentration (SIC) poses significant challenges for global climate regulation, maritime navigation, and arctic ecosystem stability. This study develops and evaluates two advanced time-series forecasting models, seasonal autoregressive integrated moving average (SARIMA) and long short-term memory (LSTM) networks, to project SIC trends through 2050 across three spatial domains: the globe, the northern hemisphere, and the arctic. Utilizing the ERA5 reanalysis dataset (1970–2024) from the European center for medium-range weather forecasts (ECMWF), the models capture seasonal cycles and complex temporal dependencies to enable robust long-term projections. Comparative analysis demonstrates that SARIMA effectively models periodic fluctuations, while LSTM excels at learning nonlinear dependencies inherent in SIC dynamics. Performance metrics, including mean absolute percentage error (MAPE), root mean square error (RMSE), and correlation coefficient (R), confirm the high accuracy of both models, with SARIMA showing superior capability in representing structured seasonal patterns. Projections indicate a persistent decline in SIC, with arctic concentrations decreasing from 55.60% in 2023 to approximately 46.84% by 2050, underscoring the pronounced effects of arctic amplification. These results provide valuable insights for climate modeling, arctic policy formulation, and the development of adaptive navigation strategies in a rapidly changing polar environment.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106634"},"PeriodicalIF":1.9,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119565","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":"Raindrop size distribution in stratiform precipitation: Insights from spectral bin simulations over the high-altitude cloud physics observatory, Western Ghats","authors":"Sumit Kumar ,&nbsp;E.A. Resmi ,&nbsp;Dharmadas Jash ,&nbsp;Sachin Patade ,&nbsp;R.K. Sumesh ,&nbsp;Anusha Andrews ,&nbsp;Nita Sukumar ,&nbsp;A.R. Aswini ,&nbsp;Gayatri Kulkarni","doi":"10.1016/j.jastp.2025.106643","DOIUrl":"10.1016/j.jastp.2025.106643","url":null,"abstract":"<div><div>An understanding of the Raindrop Size Distributions (RSD) derived from the bin microphysics scheme is vital for improving rainfall estimates and elucidating cloud microphysical processes over the complex terrain of the Western Ghats. This study investigates the structure and evolution of RSD using simulations from the Weather Research and Forecasting (WRF) model with the fast version of the spectral bin microphysics scheme (SBM-Fast), and co-located observations from the micro rain radar and ceilometer at the High-Altitude Cloud Physics Observatory (HACPO), Munnar. Three prolonged stratiform events (&gt;2 h) are analysed to examine key microphysical signatures of melting layer structure, raindrop growth, and vertical variation in RSD. MRR and model results indicate a clear increase in RSD below the melting layer (∼4.8 km). The SBM shows an enhanced rainwater mixing ratio beneath the melting layer, in agreement with observed RSD growth. Above the melting layer, graupel and snow aloft contribute to the growth of raindrops. The model tends to overpredict mid-sized raindrops in the range 1–2 mm near the surface, leading to an overestimation in rainfall for the stratiform case. The enhanced particle growth and subsequent hydrometeor loading were supported by vertical wind with higher updrafts, as captured by the model simulation.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106643"},"PeriodicalIF":1.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156577","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":"IMF By-driven electric field disturbances over the equator during northward IMFs: PPEF responses","authors":"Ram Singh ,&nbsp;Tarun Kumar Pant ,&nbsp;S. Sripathi ,&nbsp;Diptiranjan Rout ,&nbsp;Ankush Bhaskar ,&nbsp;Danny E. Scipion","doi":"10.1016/j.jastp.2025.106642","DOIUrl":"10.1016/j.jastp.2025.106642","url":null,"abstract":"<div><div>This article provides the first evidence of equatorial and low-latitude ionospheric electric field disturbances driven by quasi-periodic variations in the interplanetary magnetic field (IMF) By component, under a constant northward IMF Bz (∼+15 nT), solar wind dynamic pressure (∼8 nPa), solar wind velocity (∼450 km/s), and positive Sym-H (+10 nT). The virtual height of the F layer (h’F), measured by ionosondes at opposite longitudes in the American (Jicamarca, 11.9°S, −76.0°E; Fortaleza, 3.9°S, −38.52°E) and Indian (Trivandrum, 8.5°N, 77.0°E; Tirunelveli, 8.73°N, 77.7°E) sectors, shows electric field disturbances with opposite polarities during the day and night, driven by changes in the IMF. During northward IMF Bz conditions, vertical E × B plasma drifts measured by the Jicamarca Incoherent Scatter Radar (ISR), along with equatorial electrojet (EEJ) observations, reveal westward electric field disturbances on the dayside. Conversely, on the nightside, ionosonde measurements at Trivandrum and Tirunelveli show eastward electric field perturbations. Notably, quasi-periodic electric field fluctuations with prominent periodicities of approximately 15 min are observed in both the IMF By and ionospheric parameters, such as dh'F/dt and EEJ, in both local time sectors. These fluctuations are most likely driven by modulations in high-latitude disturbance polar (DP2) currents. SuperDARN ionospheric convection maps display enhanced convection, rotation, and expansion, which appear to influence the equatorial electric field. The presence of northward Bz (NBZ) currents and reverse convection patterns likely contributes to the observed westward electric field perturbations at low latitudes.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106642"},"PeriodicalIF":1.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119564","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":"Enhanced estimation of seasonal irradiance patterns: The adapted time synchronous average method","authors":"Mohammed Telidjane ,&nbsp;Benaoumeur Bakhti","doi":"10.1016/j.jastp.2025.106620","DOIUrl":"10.1016/j.jastp.2025.106620","url":null,"abstract":"<div><div>Accurately separating the cyclic pattern from background noise in irradiance data is critical for various applications, including monitoring photovoltaic panels. However, seasonality, evident as amplitude modulation in the irradiance waveform, poses a significant challenge to existing methods like Time Synchronous Averaging (TSA) and Cepstral Editing (CE). These methods struggle to effectively remove the influence of seasonality on the estimated cyclic pattern. This work proposes a novel method called the Adapted Time Synchronous Average (ATSA) to address these limitations. The new approach is inspired by the application of cyclostationary tools used in mechanical signals of rotating machinery. ATSA employs a three-step approach: signal normalization to mitigate seasonality, TSA estimation using the normalized data, and adaptive filtering for signal reconstruction. Our analysis demonstrates that ATSA outperforms TSA and CE in separating the cyclic pattern from the stochastic noise component in irradiance data.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"277 ","pages":"Article 106620"},"PeriodicalIF":1.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097851","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}