Earth and Space Science最新文献

{"title":"Research on Applicability of GNSS PWV Data in Northeast China and Its Application in Intelligent Precipitation Prediction","authors":"Yang Liu,&nbsp;Gen Wang,&nbsp;Tiening Zhang,&nbsp;Ping Wang,&nbsp;Bing Xu,&nbsp;Jinyi Xia","doi":"10.1029/2025EA004344","DOIUrl":"https://doi.org/10.1029/2025EA004344","url":null,"abstract":"<p>Atmospheric water vapor is an important factor in the formation and evolution of extreme weather events, such as heavy rainfall, typhoons, and major droughts and floods. We analyzed the applicability of precipitable water vapor (PWV) values from the Global Navigation Satellite System Meteorology (GNSS/MET) stations in northeastern China. We examined the potential of PWV for precipitation forecasting using an enhanced bidirectional long short-term memory (BiLSTM) network. Using radiosonde data, the accuracy of GNSS/MET PWV was evaluated, and the diurnal and seasonal differences in retrieval errors were analyzed. Results show that diurnal differences in retrieval errors are insignificant, while seasonal differences are pronounced, which can be attributed to the seasonal distribution of precipitation. Through case analyses of rainstorms and severe convective events, this study concludes that GNSS PWV varies several hours ahead of precipitation. Building on the earlier analyses of applicability assessment and precipitation warning signal identification, the improved BiLSTM framework is employed to investigate the application of GNSS PWV in hourly precipitation forecasting. Feature extraction and data resampling were utilized to enhance the physical interpretability of the binary nature of precipitation prediction and improve the model's generalization capability. Validation with 873 randomly split testing samples revealed a classification accuracy of 86.3% for precipitation prediction, with a regression RMSE of 2.73 mm. The intelligent precipitation forecasting methodology developed in this research can be applied to public-sector precipitation monitoring and early warning services.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004344","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Community Atmosphere Model Version 6 and Its Super-Parameterized Version in Simulation of Cloud and Radiation Using Satellite Observation","authors":"Siyu Yue,&nbsp;Yang Xia,&nbsp;Zengyuan Guo","doi":"10.1029/2024EA004137","DOIUrl":"https://doi.org/10.1029/2024EA004137","url":null,"abstract":"<p>Cloud plays a crucial role in modulating the energy budget of the earth-atmosphere system. Cloud-resolving models have been demonstrated to be capable of better simulating the microphysical processes within clouds. This study assesses the super-parameterized version of Community Atmosphere Model Version 6 (SPCAM6) in simulating clouds, radiation, and precipitation. The results indicate that SPCAM6 effectively reduces the overestimation of cloud amount in CAM6, particularly in equatorial and mid-high latitude regions. The improvement in cloud amount simulation further enhances the simulation of cloud radiative forcing and precipitation. Through further research on the North Pacific, Southern Ocean regions and Maritime Continent, it is found that with the coupling of the cloud-resolving model, cloud amount at high, middle, and low levels all exhibits a decreasing trend. However, liquid water content and ice water content (IWC) display different characteristics. Despite a decrease in cloud amount, IWC increases due to the heterogeneity of IWC in sub-grid scales, which is closer to actual observations. SPCAM6 can simulate sub-grid in-cloud processes and capture the in-cloud heterogeneity distribution, showing potential as a tool for understanding sub-grid cloud processes.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TEMPO at Night","authors":"James L. Carr,&nbsp;Heesung Chong,&nbsp;Xiong Liu,&nbsp;John C. Houck,&nbsp;Virginia Kalb,&nbsp;Houria Madani,&nbsp;Dong L. Wu,&nbsp;Daniel T. Lindsey,&nbsp;Steven D. Miller,&nbsp;David E. Flittner,&nbsp;Kelly Chance,&nbsp;Raid Suleiman,&nbsp;John E. Davis,&nbsp;Jean Fitzmaurice,&nbsp;Laurel Carpenter","doi":"10.1029/2024EA004157","DOIUrl":"https://doi.org/10.1029/2024EA004157","url":null,"abstract":"<p>The NASA Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument is hosted on a geostationary commercial communications satellite. TEMPO is an imaging spectrometer with primary mission to measure trace-gas concentrations from the observed spectra of reflected sunlight over the Continental United States and parts of Canada, Mexico, and the Caribbean. TEMPO produces an ultraviolet (UV, 293–494 nm) and a visible (538–741 nm) spectrum for each spatial pixel. TEMPO saw first light in August 2023. At night, TEMPO can observe city lights, gas flaring, maritime lights from fishing and offshore oil platforms, clouds and snow in the moonlight, lightning, aurorae, and nightglow without interfering with its primary daytime air quality/chemistry mission. This paper describes the capabilities of TEMPO to make nighttime observations and surveys of some early results. Repetitive coverage of North America enables production of clearest-sky composites that are similar to VIIRS Day-Night Band (DNB) “Black Marble” products. Spectra of urban areas contain spectral signatures of artificial lighting of various types that allow the radiance from each class of lighting to be estimated. Moonlight imaging of clouds provides a useful capability for discriminating clouds and fog. Lightning illuminating cloud tops from below is seen with distinct spectral features. Gas flares, associated with oil production, are observed and flare temperatures can be estimated from their spectra. Known auroral and nightglow spectral lines of atomic oxygen and molecular nitrogen are seen in the UV and visible spectra. The sodium d-layer is also observed.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of Vertical Air Motion During Summer Monsoon Over the Central Himalayan Region Using 206.5 MHz ARIES Stratosphere-Troposphere (ST) Radar","authors":"Nabarun Poddar,&nbsp;Siddarth Shankar Das,&nbsp;Samaresh Bhattacharjee,&nbsp;Manish Naja","doi":"10.1029/2025EA004232","DOIUrl":"https://doi.org/10.1029/2025EA004232","url":null,"abstract":"<p>First observations on the characteristics of vertical velocity during the Asian Summer Monsoon (ASM) months, over the central Himalayan region using 206.5 MHz Stratosphere-Troposphere radar are presented. Clear air zenith observation data have been extracted and analyzed to determine the distribution of vertical velocity occurrence and the mean vertical velocity profiles up to 16 km from June to October. Results show that the mean updraft and downdraft characteristic velocity ∼4 km did not generally exceed 5 cm s⁻¹ for all the months. An exception to this feature is observed as a layer of persistent downdraft between 10 and 11 km with a maximum mean vertical velocity of ∼−7 cm s⁻¹ in August, which is new observation. Consistent downdrafts in the lower troposphere and consistent updrafts in the upper troposphere above 12 km show that direct transport of airmass from lower to upper level and vice versa is not climatologically supported. In turn, such profile shows similarity to the two-step process of upliftment of air mass in the tropical region. Notably this height corresponds to the lower level of ASM Anticyclone and gives insight in to the entrapment and slow upliftment of airmass toward stratosphere. Further analysis of inter-period variability of vertical velocity for forenoon, afternoon, and evening periods for all the months show notable variations in the mid-tropospheric region with barely any change in the upper troposphere above 12 km, indicating that the slow upward transport does not directly depend on the inter-period variability for any of the months.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004232","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal Infrared Spectrometers for the Polar Radiant Energy in the Far-Infrared Experiment (PREFIRE)","authors":"Brian J. Drouin,&nbsp;Tristan L’Ecuyer,&nbsp;Sharmila Padmanabhan,&nbsp;Marc Foote,&nbsp;Rudi Bendig,&nbsp;Simon Calcutt,&nbsp;Gary Hawkins,&nbsp;Harrison Herzog,&nbsp;Eric Hochberg,&nbsp;Matthew Kenyon,&nbsp;Giacomo Mariani,&nbsp;David A. Martinez,&nbsp;James McGuire,&nbsp;Ian Mckinley,&nbsp;Aronne Merrelli,&nbsp;Deacon Nemchick,&nbsp;Nasrat Raouf,&nbsp;Gary Spiers,&nbsp;Daniel Wilson","doi":"10.1029/2024EA003711","DOIUrl":"https://doi.org/10.1029/2024EA003711","url":null,"abstract":"<p>The Polar Radiant Energy in the Far-InfraRed Experiment (PREFIRE) was selected by NASA to fly two miniaturized Thermal InfraRed Spectrometers (TIRS) capable of distinguishing the spectral signatures of surface and atmospheric properties in Earth's polar regions. A trade study examining spectral sampling as well as separation of cloudy and clear scenery at 20 km scales highlighted the possibility to utilize ambient (uncooled) detector technologies in a miniaturized spectrometer that could facilitate low-cost and rapid access to space. This work describes the design, implementation, testing and performance of two TIRS systems, as well as the challenges and acceptable limitations of the cost-constrained effort, that feature the novel joining of compact thermopile array technologies with concentric imaging spectrometry methods. The TIRS systems presented here each have 2.7 kg mass, draw 4.3 W power, and provide spectral resolution of 1.71 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>μ</mi>\u0000 </mrow>\u0000 <annotation> ${upmu }$</annotation>\u0000 </semantics></math>m below 35 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>μ</mi>\u0000 </mrow>\u0000 <annotation> ${upmu }$</annotation>\u0000 </semantics></math>m sampled at 0.86 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>μ</mi>\u0000 </mrow>\u0000 <annotation> ${upmu }$</annotation>\u0000 </semantics></math>m increments.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA003711","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Neural Network Model of High-Latitude Ionospheric Electric Potential: Hemispheric and Equinoctial Asymmetries","authors":"L. Lomidze,&nbsp;Johnathan K. Burchill,&nbsp;D. J. Knudsen","doi":"10.1029/2025EA004331","DOIUrl":"https://doi.org/10.1029/2025EA004331","url":null,"abstract":"<p>The high-latitude ionospheric electric field plays a key role in ionospheric plasma dynamics and energetics. Various ground- and satellite-based observations have been utilized to develop empirical models of the convection electric field. Empirical modeling typically relies on statistical regression techniques, where predefined functions are fitted to measurements to describe dependencies on inputs. In many convection models, it remains common practice to combine data from the Northern and Southern Hemispheres or to disregard differences between the March and September equinoxes. Such approaches make it challenging to identify important input variables and limit their ability to account for equinoctial and hemispheric asymmetries. These asymmetries, which are not fully understood, require further analysis and improved representation in models. In this work, we use nearly 10 years of electric field data from the Swarm satellites' Thermal Ion Imagers (TIIs) together with artificial neural networks (ANNs) to develop a model of high-latitude ionospheric electric potential. The Swarm “TII-ANN” electric potential model explicitly incorporates the day of the year, universal time, solar and geomagnetic activity, 3-D interplanetary magnetic field, and 3-D solar wind velocity. Importantly, it also accounts for equinoctial and hemispheric variations. We describe the new model, validate its performance by comparing corresponding ion drifts to independent measurements from the Defense Meteorological Satellite Program satellite, and study the hemispheric and equinoctial asymmetries of high-latitude electric potential. Our results show that the cross-polar cap potential is larger in the Southern Hemisphere than in the Northern Hemisphere during the March equinox, with equinoctial asymmetry being particularly prominent in the south.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004331","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Chandrayaan-3 Lunar Seismic Data: Performance Evaluation and Interpretation of Potential Natural Seismic Events","authors":"Keisuke Onodera,&nbsp;Taichi Kawamura","doi":"10.1029/2025EA004307","DOIUrl":"https://doi.org/10.1029/2025EA004307","url":null,"abstract":"<p>In 2023, Chandrayaan-3 landed on the southern hemisphere of the Moon. One of the scopes of the mission was to monitor the seismicity at the landing site, and the Instrument for Lunar Seismic Activity (ILSA) was used to monitor the ground shaking. In this study, to interpret the first lunar seismic data since the Apollo missions, we (a) assessed the ILSA's typical background noise, (b) discussed the detectability of moonquakes by referring to the Apollo observation results, and (c) inspected the natural moonquake candidates listed in a previous study. Regarding the noise assessment, we computed the probabilistic amplitude spectral density and compared it with the spectra of the seismic events identified in the Apollo data to check whether ILSA had the ability to detect them. Our results indicate that artificially driven thermal moonquakes are more likely to be detectable than other types of events. To investigate the origin of about 100 natural moonquake candidates provided by the ILSA team, we analyzed them mainly in the frequency domain. After screening procedures with (a) cross-correlation between natural moonquake candidates and artificial signals and (b) positions of spectral energy peaks, we found that almost all events were closely related to either artificial signals from rover/instrumental operations or eigenfrequencies of the lander/rover. Therefore, we could not find any positive evidence supporting the existence of the naturally driven moonquakes/impacts in the natural moonquake candidates. Still, we expect our background noise model and description of the observed signals would help future studies handle the ILSA data.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004307","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fusion of Dual Wind Component for Radar Echo Nowcasting Based on a Deep Learning Model","authors":"Liqun Zhou,&nbsp;Xiefei Zhi,&nbsp;Gen Wang,&nbsp;Yang Lyu,&nbsp;Yan Ji,&nbsp;Tianrui Du,&nbsp;Shuyan Ding,&nbsp;Guangdi Chen,&nbsp;Yu Weng","doi":"10.1029/2024EA004128","DOIUrl":"10.1029/2024EA004128","url":null,"abstract":"<p>Nowcasting serves as a pivotal tool in predicting severe weather phenomena, which is essential for disaster prevention and mitigation. However, existing nowcasting models often struggle due to insufficient background information input. In this study, we propose the Late Fusion Wind Filed UNet (LFWF UNet) model, which integrates radar data and 3D wind field data to enhance the three-dimensional physical back-ground information necessary for the development of convective systems. This integration significantly improves forecasting capabilities. Additionally, we introduce a novel variable fusion method to address the crosstalk effects associated with direct multi-channel fusion. The results, evaluated using several metrics, show that the LFWF UNet model outperforms other experimental approaches in both point-by-point evaluations, binary diagnostic scores and computer vision evaluation metrics. Furthermore, the synergistic use of radar data with multilayer wind field data enhances forecasting accuracy. Therefore, the approach of combining multidimensional physical wind field information holds great promise for nowcasting and can effectively improve extrapolated forecast results.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Polar Motion Prediction Based on Radial Basis Function Neural Network Interpolation","authors":"Fei Wu,&nbsp;Zefeng Yan,&nbsp;Leyang Wang,&nbsp;Xinbo Li","doi":"10.1029/2025EA004422","DOIUrl":"10.1029/2025EA004422","url":null,"abstract":"<p>Accurate prediction of polar motion are crucial for various scientific fields, including astronomy, geoscience, and oceanography. The temporal resolution of the modeling data currently utilized in polar motion prediction research is 1 day. This paper proposes to use multiple interpolation methods to interpolate the polar motion observation data to obtain interpolation data with a resolution of 6 hr, and conducts 480 groups of ultra-short-term experiments based on the combined prediction model of least-squares extrapolation of harmonic and autoregressive modeling. Experimental results demonstrate that: (a) the forecasting approach proposed in this paper, which utilizes 6-hr resolution data, significantly enhances prediction accuracy of polar motion; (b) compared with the forecasting scheme without interpolation, the proposed optimal forecasting scheme in this study achieves average improvement rates of 42.27% and 46.94% in the <i>X</i> and <i>Y</i> directions, respectively; (c) the effectiveness of the proposed scheme in this paper was validated through comparison with IERS Bulletin A and the forecast results from the second Earth Orientation Parameter Prediction Comparison Campaign.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004422","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Seismic Ambient Noise Techniques for Detecting Ice-Bearing Rocks on the Moon","authors":"S. Keil,&nbsp;M. Schimmel,&nbsp;H. Igel","doi":"10.1029/2025EA004369","DOIUrl":"10.1029/2025EA004369","url":null,"abstract":"<p>One of the primary objectives of upcoming lunar missions is to locate ice-bearing rocks at the South Pole. While evidence for their presence exists, the exact distribution and quantity remain uncertain. In this study, we evaluate the potential of seismic ambient noise techniques—including seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and rotational measurements—for detecting ice-bearing rocks on the Moon. To achieve this, we perform 2D numerical simulations using a digital twin model of the shallow subsurface, incorporating high-velocity heterogeneities. Hereby, the resolution limits of the different methods are evaluated. Phase velocity dispersion curves of Rayleigh waves are extracted from DAS and rotational data, while group velocity dispersion curves are derived from interferometry. The strong scattering effects of the lunar regolith, in particular, influence the seismic interferometry results for large inter-station distances. While all methods reveal clear signatures of ice-bearing rocks due to the strong velocity increase, even for small weight percentages of ice, a combination of techniques is needed to achieve accurate resolution of depth, width, and ice content.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025EA004369","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}