Pub Date : 2020-08-11DOI: 10.1002/ESSOAR.10504162.1
H. Tsutsumi, Y. Soeda, N. Ismail, Bukhari Ali, T. Tabei
The Sumatran fault is an arc-parallel dextral strike-slip fault that accommodates much of the right-lateral component of oblique subduction of the Indian-Australian plate beneath the Sunda plate. T...
{"title":"Tectonic Landform and Paleoseismic Activity of the Northernmost Sumatran Fault, Aceh Province, Indonesia","authors":"H. Tsutsumi, Y. Soeda, N. Ismail, Bukhari Ali, T. Tabei","doi":"10.1002/ESSOAR.10504162.1","DOIUrl":"https://doi.org/10.1002/ESSOAR.10504162.1","url":null,"abstract":"The Sumatran fault is an arc-parallel dextral strike-slip fault that accommodates much of the right-lateral component of oblique subduction of the Indian-Australian plate beneath the Sunda plate. T...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"527 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80145326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10503960.1
Takashi Ito
Nearly isotropic comets with very long orbital period are supposed to come from the Oort Cloud. Recent observational and theoretical studies have greatly revealed the dynamical nature of this cloud...
{"title":"Comparison of original orbits of Oort Cloud new comets given in various catalogues II. Different solutions from different observations","authors":"Takashi Ito","doi":"10.1002/essoar.10503960.1","DOIUrl":"https://doi.org/10.1002/essoar.10503960.1","url":null,"abstract":"Nearly isotropic comets with very long orbital period are supposed to come from the Oort Cloud. Recent observational and theoretical studies have greatly revealed the dynamical nature of this cloud...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86439230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10503484.1
H. Koge, J. Ashi, Jin-Oh Park, A. Miyakawa
In the 2011 Tohoku-Oki earthquake, the rupture in the subduction megathrust reached the trench axis and triggered a large tsunami. The shallow portion of the subduction megathrust fault was regarde...
{"title":"Simple Topographic Parameter for Along-trench Friction Distribution of Shallow Megathrust Fault","authors":"H. Koge, J. Ashi, Jin-Oh Park, A. Miyakawa","doi":"10.1002/essoar.10503484.1","DOIUrl":"https://doi.org/10.1002/essoar.10503484.1","url":null,"abstract":"In the 2011 Tohoku-Oki earthquake, the rupture in the subduction megathrust reached the trench axis and triggered a large tsunami. The shallow portion of the subduction megathrust fault was regarde...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79949136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10502407.1
M. Kano, A. Kato
{"title":"Detailed Spatial Slip Distribution for Short-term Slow Slip Events along the Nankai Subduction Zone, Southwest Japan","authors":"M. Kano, A. Kato","doi":"10.1002/essoar.10502407.1","DOIUrl":"https://doi.org/10.1002/essoar.10502407.1","url":null,"abstract":"","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"153 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91443403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.5194/egusphere-egu2020-13366
Shih‐Ping Chen, C. Lin, Rajesh Panthalingal Krishnanunni, R. Eastes, Jong‐Min Choi
The near real-time global plasma bubble map is constructed by utilizing the FORMOSAT-7/COSMIC-2(F7/C2) radio occultation(RO) scintillation observations in low latitudes. Several tools investigating plasma bubbles like the rate of TEC index(ROTI), Range-TimeIntensity(RTI) diagrams of the Jicamarca Unattended Long-term Investigations of the Ionosphere and Atmosphere(JULIA), and the Global-scale Observations of the Limb and Disk(GOLD) 135.6nm airglow observations are provided validating the RO scintillations. Result shows that the F7/C2 scintillation is sensitive detecting plasma irregularities, especially for the bottom side of these bubbles, which can be used to investigating nighttime vertical plasma drifts in low latitudinal Fregion. The hourly quick look of the low latitude plasma bubble occurrence and vertical ion drift around the globe is significant to the space weather monitoring.
{"title":"Near real time plasma irregularity monitoring by FORMOSAT-7/COSMIC-2","authors":"Shih‐Ping Chen, C. Lin, Rajesh Panthalingal Krishnanunni, R. Eastes, Jong‐Min Choi","doi":"10.5194/egusphere-egu2020-13366","DOIUrl":"https://doi.org/10.5194/egusphere-egu2020-13366","url":null,"abstract":"The near real-time global plasma bubble map is constructed by utilizing the FORMOSAT-7/COSMIC-2(F7/C2) radio occultation(RO) scintillation observations in low latitudes. Several tools investigating plasma bubbles like the rate of TEC index(ROTI), Range-TimeIntensity(RTI) diagrams of the Jicamarca Unattended Long-term Investigations of the Ionosphere and Atmosphere(JULIA), and the Global-scale Observations of the Limb and Disk(GOLD) 135.6nm airglow observations are provided validating the RO scintillations. Result shows that the F7/C2 scintillation is sensitive detecting plasma irregularities, especially for the bottom side of these bubbles, which can be used to investigating nighttime vertical plasma drifts in low latitudinal Fregion. The hourly quick look of the low latitude plasma bubble occurrence and vertical ion drift around the globe is significant to the space weather monitoring.","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80669695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10503941.1
R. Guntu, A. Agarwal
Quantifying the spatiotemporal variability of precipitation is the principal component for the assessment of the impact of climate change on the hydrological cycle. A better understanding of the qu...
降水时空变率的量化是评估气候变化对水文循环影响的主要内容。更好地理解……
{"title":"Standardized Variability Index (SVI): A multiscale index to assess the variability of precipitation","authors":"R. Guntu, A. Agarwal","doi":"10.1002/essoar.10503941.1","DOIUrl":"https://doi.org/10.1002/essoar.10503941.1","url":null,"abstract":"Quantifying the spatiotemporal variability of precipitation is the principal component for the assessment of the impact of climate change on the hydrological cycle. A better understanding of the qu...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75105385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.5194/egusphere-egu21-8145
T. Obase, A. Abe‐Ouchi, F. Saito
The global mean sea level in the last interglacial (LIG, about 130,000 to 115,000 years before present) was very likely higher than the present level, driven mainly by mass loss of the Antarctic ice sheet. Some studies have suggested that this mass loss may have been caused by the warmer temperature over the Southern Ocean in the LIG compared with the present interglacial. However, the ultimate cause of the difference in Antarctic warming between the last and current interglacials has not been explained. Here, based on transient simulations of the last deglaciation using a fully coupled ocean–atmosphere model, we show that greater meltwater (by a factor of 1.5 relative to the last deglaciation) during the middle and later stages of the deglaciation could have produced the difference in Antarctic warmth. Northern Hemisphere ice sheet model experiments suggest that the difference in meltwater was caused by slightly smaller orbital eccentricity in our current interglacial than in the LIG, indicating that mass loss of the Antarctic ice sheet is influenced by the preceding northern summer insolation and disintegration of Northern Hemisphere ice sheets.
{"title":"Antarctic warmth in the last interglacial driven by Northern insolation and deglaciation","authors":"T. Obase, A. Abe‐Ouchi, F. Saito","doi":"10.5194/egusphere-egu21-8145","DOIUrl":"https://doi.org/10.5194/egusphere-egu21-8145","url":null,"abstract":"<p>The global mean sea level in the last interglacial (LIG, about 130,000 to 115,000 years before present) was very likely higher than the present level, driven mainly by mass loss of the Antarctic ice sheet. Some studies have suggested that this mass loss may have been caused by the warmer temperature over the Southern Ocean in the LIG compared with the present interglacial. However, the ultimate cause of the difference in Antarctic warming between the last and current interglacials has not been explained. Here, based on transient simulations of the last deglaciation using a fully coupled ocean–atmosphere model, we show that greater meltwater (by a factor of 1.5 relative to the last deglaciation) during the middle and later stages of the deglaciation could have produced the difference in Antarctic warmth. Northern Hemisphere ice sheet model experiments suggest that the difference in meltwater was caused by slightly smaller orbital eccentricity in our current interglacial than in the LIG, indicating that mass loss of the Antarctic ice sheet is influenced by the preceding northern summer insolation and disintegration of Northern Hemisphere ice sheets.</p>","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81882157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10503542.1
A. Bauville, P. Yamato
Pressure-to-depth conversion is a crucial step towards geodynamic reconstruction but remains strongly debated. Here, we derive pressure-to-depth conversion models using either one or two pressure d...
{"title":"Pressure-to-depth conversion models for metamorphic rocks: derivation and applications","authors":"A. Bauville, P. Yamato","doi":"10.1002/essoar.10503542.1","DOIUrl":"https://doi.org/10.1002/essoar.10503542.1","url":null,"abstract":"Pressure-to-depth conversion is a crucial step towards geodynamic reconstruction but remains strongly debated. Here, we derive pressure-to-depth conversion models using either one or two pressure d...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74005507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1002/essoar.10502717.1
T. Akuhara, T. Tsuji, T. Tonegawa
Active-source seismic surveys have resolved the fine-scale P-wave velocity (Vp) of the subsurface structure in subduction forearcs. In contrast, the S-wave velocity (Vs) structure is poorly resolve...
{"title":"Overpressured underthrust sediment in the Nankai Trough forearc inferred from high-frequency receiver function inversion","authors":"T. Akuhara, T. Tsuji, T. Tonegawa","doi":"10.1002/essoar.10502717.1","DOIUrl":"https://doi.org/10.1002/essoar.10502717.1","url":null,"abstract":"Active-source seismic surveys have resolved the fine-scale P-wave velocity (Vp) of the subsurface structure in subduction forearcs. In contrast, the S-wave velocity (Vs) structure is poorly resolve...","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78119954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The observation operator of Phased Array Weather Radar (PAWR; Ushio et al. 2014; Yoshikawa et al. 2013) in the SCALE-LETKF data assimilation system (Lien et al., 2017) is revisited, and the impact of improving the observation operator on the analysis is examined. Previous studies (Miyoshi et al., 2016, IEEE; Miyoshi et al., 2016, BAMS) have shown that the three-dimensional fine-scale structure of radar signals observed by PAWR can be successfully assimilated to produce a high-resolution analysis using a regional model SCALE-RM and the local ensemble transformed Kalman filter (LETKF). Forecasts using a high-resolution regional model from the analysis field has a potential to provide reliable precipitation forecasts for longer period of time than a simple nowcasting technique based on an advection scheme, since the explicit physical processes would allow us to capture the development of new convective cells. However, even with an analysis field incorporating such detailed observational data, accurate forecasting of localized convection systems is generally a challenging issue. In the previous studies mentioned above, there was a known problem that the area of strong radar echo calculated from the forecast field starts to expand unrealistically even within several minutes. Along with systematic model biases and imbalance, the observation operator could be the cause of this misrepresentation. Therefore, the observation operator of PAWR is revisited in this study. The observation operator calculates equivalent radar reflectivity factor (Ze [mm6/m3] ) from hydrometeor mass density of each particle categories (W [g/m]). The cloud microphysics scheme in SCALE-RM (Tomita et al., 2008) is a 1-moment 6-caterogy scheme. They include 3 categories for precipitation particles, namely, rain, snow, and graupel. The relation between Ze and each of W is obtained by an offline numerical calculation of Mie scattering and approximated in the form of an exponential function. Ze=αrexp(βr)+αsexp(βs)+αgexp(βg) Previous studies used values from a literature (Xue et al., 2009) for the coefficients. However, the coefficients used for graupel (αg and βg) has been originally calculated using assumptions about the particle size distribution different from those in SCALE-RM. In particular, a multiplicative factor of the particle size distribution of graupel in SCALE-RM is much smaller in their calculation (N0=3×10 4 m) than that in SCALE-RM (N0=4×10 6 m). This leads to an underestimation in sensitivity of graupel mass to observed radar reflectivity factor. The new coefficients for graupel are chosen to be consistent with the SCALE-RM cloud microphysics scheme using the Joint-Simulator developed by Japan Aerospace Exploration Agency (JAXA). The results are αg=5.54×10 3 ,βg=1.70 , where the original values from the literature are αg=8.18×10 4,βg=1.50 . The case study of PAWR assimilation on the localized short-duration heavy rain event on July 13, 2013 is performed again using the
相控阵气象雷达(PAWR);Ushio et al. 2014;重新审视了SCALE-LETKF数据同化系统(Lien et al.， 2017)中的Yoshikawa等人(2013)，并检查了改进观测算子对分析的影响。先前的研究(Miyoshi et al.， 2016, IEEE;Miyoshi等人，2016,BAMS)已经证明，使用区域模型SCALE-RM和局部集合变换卡尔曼滤波器(LETKF)，可以成功地同化PAWR观测到的雷达信号的三维精细尺度结构，从而产生高分辨率分析。与基于平流方案的简单临近预报技术相比，使用来自分析场的高分辨率区域模式进行预报有可能提供更长期的可靠降水预报，因为明确的物理过程将使我们能够捕捉到新的对流单体的发展。然而，即使有一个包含如此详细观测数据的分析领域，对局部对流系统的准确预测通常也是一个具有挑战性的问题。在前面提到的研究中，存在一个已知的问题，即从预报场计算出的强雷达回波面积在几分钟内就开始不切实际地扩大。随着系统模型偏差和不平衡，观测算子可能是造成这种错误表述的原因。因此，本研究重新考察了PAWR的观测算子。观测操作员根据各颗粒类水流星的质量密度(W [g/m])计算等效雷达反射率因子(Ze [mm6/m3])。SCALE-RM中的云微物理方案(Tomita et al.， 2008)是一个1-moment 6-caterogy方案。它们包括3类降水粒子，即雨、雪和霰。通过Mie散射的离线数值计算得到了Ze与W之间的关系，并将其近似为指数函数的形式。Ze=αrexp(βr)+αsexp(βs)+αgexp(βg)以往的研究采用文献(Xue et al.， 2009)的值作为系数。然而，用于霰的系数(αg和βg)最初是使用与SCALE-RM不同的粒径分布假设来计算的。特别是SCALE-RM中霰粒径分布的乘因子(N0=3×10 4 m)比SCALE-RM中的(N0=4×10 6 m)要小得多，这导致低估了霰质量对观测雷达反射率因子的敏感性。利用日本宇宙航空研究开发机构(JAXA)开发的联合模拟器，选择了与SCALE-RM云微物理方案一致的新霰系数。结果为αg=5.54×10 3，βg=1.70，其中文献原始值为αg=8.18×10 4，βg=1.50。利用新系数再次对2013年7月13日局地短时暴雨事件的PAWR同化进行了实例研究，并与之前的结果进行了比较(Miyoshi et al.， 2016, IEEE;Miyoshi et al.， 2016, BAMS)。结果如图1所示。采用新的PAWR观测算子系数集合后，30分钟预报时段的演变比使用原始系数时更接近观测值。快速增长的不现实的大反射率区域蔓延被显著抑制。在面积平均霰质量的垂直剖面上，这种差异也很明显。常规预报实验中对流层中层霰的快速增加，意味着观测操作者与云微物理方案不一致所造成的不平衡得到了恢复。新系数改善了不平衡，提供了物理上更一致的分析场。AAS01-04日本地球科学联盟会议2019
{"title":"Improving the Observation Operator for the Phased Array Weather Radar in the SCALE-LETKF System","authors":"A. Amemiya, T. Honda, T. Miyoshi","doi":"10.2151/sola.2020-002","DOIUrl":"https://doi.org/10.2151/sola.2020-002","url":null,"abstract":"The observation operator of Phased Array Weather Radar (PAWR; Ushio et al. 2014; Yoshikawa et al. 2013) in the SCALE-LETKF data assimilation system (Lien et al., 2017) is revisited, and the impact of improving the observation operator on the analysis is examined. Previous studies (Miyoshi et al., 2016, IEEE; Miyoshi et al., 2016, BAMS) have shown that the three-dimensional fine-scale structure of radar signals observed by PAWR can be successfully assimilated to produce a high-resolution analysis using a regional model SCALE-RM and the local ensemble transformed Kalman filter (LETKF). Forecasts using a high-resolution regional model from the analysis field has a potential to provide reliable precipitation forecasts for longer period of time than a simple nowcasting technique based on an advection scheme, since the explicit physical processes would allow us to capture the development of new convective cells. However, even with an analysis field incorporating such detailed observational data, accurate forecasting of localized convection systems is generally a challenging issue. In the previous studies mentioned above, there was a known problem that the area of strong radar echo calculated from the forecast field starts to expand unrealistically even within several minutes. Along with systematic model biases and imbalance, the observation operator could be the cause of this misrepresentation. Therefore, the observation operator of PAWR is revisited in this study. The observation operator calculates equivalent radar reflectivity factor (Ze [mm6/m3] ) from hydrometeor mass density of each particle categories (W [g/m]). The cloud microphysics scheme in SCALE-RM (Tomita et al., 2008) is a 1-moment 6-caterogy scheme. They include 3 categories for precipitation particles, namely, rain, snow, and graupel. The relation between Ze and each of W is obtained by an offline numerical calculation of Mie scattering and approximated in the form of an exponential function. Ze=αrexp(βr)+αsexp(βs)+αgexp(βg) Previous studies used values from a literature (Xue et al., 2009) for the coefficients. However, the coefficients used for graupel (αg and βg) has been originally calculated using assumptions about the particle size distribution different from those in SCALE-RM. In particular, a multiplicative factor of the particle size distribution of graupel in SCALE-RM is much smaller in their calculation (N0=3×10 4 m) than that in SCALE-RM (N0=4×10 6 m). This leads to an underestimation in sensitivity of graupel mass to observed radar reflectivity factor. The new coefficients for graupel are chosen to be consistent with the SCALE-RM cloud microphysics scheme using the Joint-Simulator developed by Japan Aerospace Exploration Agency (JAXA). The results are αg=5.54×10 3 ,βg=1.70 , where the original values from the literature are αg=8.18×10 4,βg=1.50 . The case study of PAWR assimilation on the localized short-duration heavy rain event on July 13, 2013 is performed again using the","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90854053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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