Journal of Atmospheric and Solar-Terrestrial Physics最新文献

{"title":"Flood vulnerability mapping using remote sensing (RS), geographic information system (GIS), and analytical hierarchy process (AHP): A case study of the middle Indo-Gangetic Plain","authors":"Manabraj Manna ,&nbsp;Dhirendra Kumar Singh ,&nbsp;Murtaza Hasan ,&nbsp;Santosh Sambhaji Mali ,&nbsp;Deb Kumar Das ,&nbsp;Himani Bisht ,&nbsp;Jitendra Rajput ,&nbsp;Rupesh Kumar ,&nbsp;Anjani Kumar Yadav","doi":"10.1016/j.jastp.2026.106742","DOIUrl":"10.1016/j.jastp.2026.106742","url":null,"abstract":"<div><div>The purpose of this research was to delineate the areas susceptible to flooding in the Middle Indo-Gangetic Plain by employing Remote Sensing (RS), Geographic Information Systems (GIS), and the Analytical Hierarchy Process (AHP). Fourteen parameters, namely rainfall, elevation, slope, flow accumulation, drainage density, distance from rivers, stream power index, topographic wetness index, land use/land cover, soil texture, hydrogeology, Normalized Difference Vegetation Index (NDVI), topographic roughness index, and profile curvature, were selected for the detailed analysis. Weights were assigned to these parameters using AHP. Flood vulnerable areas were delineated, and a flood vulnerability map was generated using overlay analysis in GIS. The map’s accuracy was confirmed using the area under the curve receiver operating characteristic (AUC-ROC) technique with 1000 random validation points derived from historical flood data. The results indicated that 3.94 % of the study area is very highly vulnerable to floods, primarily in the eastern and northwestern parts near the Ganges River and its tributaries. Approximately 6.68 % is classified as highly vulnerable, while 56.02 % falls within the moderate vulnerability category. The remaining 33.36 % of the area shows low to very low flood vulnerability. The overall accuracy of the vulnerability map is 78.9 %, indicating a good predictive capability. This study demonstrates the effectiveness of integrating RS, GIS and AHP for flood vulnerability assessment in complex hydrological regions such as the Middle Indo-Gangetic Plain. A vulnerability map can help in developing flood management strategies, land use planning, agricultural activities, and disaster preparedness in this densely populated and flood-prone region.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106742"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421988","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":"Governing factors of the unprecedented extreme rainfall over Rameswaram Island","authors":"Meenakshi S,&nbsp;S. Sridharan","doi":"10.1016/j.jastp.2026.106759","DOIUrl":"10.1016/j.jastp.2026.106759","url":null,"abstract":"<div><div>On 20-21 November 2024, extreme precipitation, the first of its kind to occur in the past 125 years, resulted in severe flooding across the southern coastal region of Tamil Nadu in particular over Rameswaram. The dynamic and thermodynamic conditions in the atmosphere that precede this extreme precipitation event are examined using reanalysis datasets of ERA5, brightness temperature, and Sea Surface Temperature. The analysis reveals deep convective clouds, a large amount of precipitable water, elevated specific humidity, and wind convergence in the lower troposphere at Rameswaram. The positive sea surface temperature (SST) anomaly of 2°C in the Bay of Bengal could lead to significant evaporation. Intense moisture is transported from the Bay of Bengal by easterly winds, and the westward-propagating tropical easterly waves facilitate the advection of positive PV anomalies towards Rameswaram. The presence of a cyclonic circulation progressing towards the southwest coast of the Indian Peninsula is evident in the moisture flux divergence. Convection was supported and sustained by enhanced upward vertical velocity between 850 and 200 hPa. Moreover, the positive potential vorticity (PV) tower extending from 850 hPa to 200 hPa, points to the development of dynamic instability. Vertical and horizontal PV dipoles, signatures of deep convection and instability, are also identified over Rameswaram during heavy rain. The time-height evolution of the divergence, vertical velocity (<strong><em>ω</em></strong>), and PV anomaly, along with the mid-level vortex, suggests that the 'top-down' dynamics can be responsible for the torrential downpour over Rameswaram.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106759"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420967","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":"A hybrid wind speed forecasting framework with decomposition denoising and intelligent optimization algorithms","authors":"Yanhua Chen ,&nbsp;Zhichao Tian ,&nbsp;Wenbo Chen ,&nbsp;Yi Yang ,&nbsp;Caihong Li ,&nbsp;Katinka Wolter","doi":"10.1016/j.jastp.2026.106739","DOIUrl":"10.1016/j.jastp.2026.106739","url":null,"abstract":"<div><div>The rapid growth of wind energy makes accurate wind speed forecasting vital for power system reliability and efficiency. However, the nonlinear, non-stationary, and dynamic nature of wind speed, coupled with atmospheric disturbances, makes precise forecasting challenging. To address these challenges, this paper proposes a multi-stage hybrid framework integrating signal decomposition, filtering, deep learning, and intelligent optimization. First, a preprocessing method based on Variational Mode Decomposition (VMD) and Savitzky-Golay (SG) filtering is developed to decompose raw wind speed sequences into Intrinsic Mode Functions (IMFs) and adaptively denoise them, effectively reducing non-stationarity. Next, the refined data is processed by a Convolutional Long Short-Term Memory (ConvLSTM) network to capture local spatio-temporal dependencies, followed by a Transformer encoder-decoder to model long-range dependencies for multi-step forecasting. Finally, a novel GPSOGA algorithm, integrating the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) with a Global Elite Opposition-Based Learning strategy (GEOLS), is proposed to optimize hyperparameters, ensuring efficient parameter tuning and enhanced performance. Experimental results on real-world wind farm datasets demonstrate that the proposed framework consistently outperforms comparative models. Specifically, it improves forecasting accuracy by 37.1 %–56.6 % compared to individual CNN, LSTM, ConvLSTM, and Transformer models. These results confirm the framework's superior accuracy and robustness, validating its practical potential for wind energy management.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106739"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420973","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":"Development and field testing of a UHF antenna system for the observation of electrical discharge phenomena in the atmosphere","authors":"Nobuaki Shimoji ,&nbsp;Itsuki Tofuku","doi":"10.1016/j.jastp.2026.106754","DOIUrl":"10.1016/j.jastp.2026.106754","url":null,"abstract":"<div><div>In Japan, the digital terrestrial television broadcasting band (470–710 MHz) is legally protected, resulting in extremely low levels of artificial electromagnetic noise within this frequency range. Therefore, when an antenna is directed toward targets such as cumulus clouds, high-voltage transmission towers, volcanic plumes, or trees, the received signals are highly likely to be ultra high frequency (UHF) event signals—discharge emissions—from those targets. Because discharge phenomena last only tens of nanoseconds, developing instruments capable of directly recording them is technically difficult. Considering Japan’s radio-wave environment and practical hardware constraints, we developed a UHF antenna system with a <span><math><mrow><mn>0</mn><mo>.</mo><mn>4</mn><mspace></mspace><mi>ms</mi></mrow></math></span> sampling interval. A dual-integration system was devised and implemented in the backend, enabling continuous recording with no dead time.</div><div>Although a <span><math><mrow><mn>0</mn><mo>.</mo><mn>4</mn><mspace></mspace><mi>ms</mi></mrow></math></span> interval is long relative to discharge timescales, it becomes a practical method when the objective is not to resolve individual pulses but to detect the collective occurrence of numerous discharge events. The developed system was installed outdoors, and tests confirmed reception of both discharge signals and television broadcasts. Subsequent observations included cumulus clouds, partial discharges from high-voltage transmission towers, small-scale volcanic eruptions, and tree corona discharges. For each target, characteristics consistent with streamers, corona discharges, or partial discharges were obtained. These results suggest that, although improvements are still possible, the compact UHF antenna system developed in this study has the potential to serve as a new observational method for atmospheric discharge phenomena.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106754"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420977","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":"Investigation of the GFS forecast products on RT-PPP solutions","authors":"Ali Hasan Dogan","doi":"10.1016/j.jastp.2026.106755","DOIUrl":"10.1016/j.jastp.2026.106755","url":null,"abstract":"<div><div>Tropospheric delays play a key role in Precise Point Positioning (PPP). To achieve high precise positioning, these delays must be eliminated. In PPP, a priori delays and mapping functions (MF) are used to eliminate/model tropospheric delays. It can be seen in literature that the parameters obtained from Numerical Weather Models (NWM) increase the accuracy of the positioning. In addition to post-process applications of PPP, there is an increasing need of real time precise positioning to support recent technological developments. In this study, the effects of the a priori delays and MFs on real time PPP (RT-PPP) were investigated. Therefore, a case study was designed. In the study, two simultaneous RT-PPP analysis were performed by BNC software. In the first run, default configuration of the software was used. In the second run, a priori delays and MFs obtained using NCEP's GFS forecast data were utilized. The delays and MF coefficients were derived by Direct Numerical Solution (DNS) ray-tracing tool. The effects of the parameters were compared by the parameters, convergence time, positioning and Zenith Tropospheric Delay accuracy. The results show that GFS utilized solutions converge the positions faster. Moreover, accuracy of the vertical component is also improved.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106755"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420975","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":"Impact of monsoon phases on atmospheric boundary layer dynamics over the Indian subcontinent and surrounding oceans","authors":"Linsha C.L. ,&nbsp;Hamza Varikoden ,&nbsp;Nandhulal K. ,&nbsp;Vishnu R.","doi":"10.1016/j.jastp.2026.106765","DOIUrl":"10.1016/j.jastp.2026.106765","url":null,"abstract":"<div><div>The prevailing atmospheric conditions are strongly influenced by the Atmospheric Boundary Layer Height (ABLH) over the Indian subcontinent and serve as a critical parameter in forecasting weather, climate patterns, and the distribution of pollutants. The study examines intraseasonal variations of ABLH over the Indian subcontinent and surrounding oceans using MERRA data from 1980 to 2018. ABLH is lower over marine regions during the daytime, likely due to high specific heat capacity and low surface roughness. Low marine influence causes higher diurnal variations over the inland areas than the coastal regions. In Peninsular India, a lower ABLH was associated with the orographic effects of the Western Ghats and the influence of sea-land breeze circulation. ABLH is maximum during the daytime in the break phase of the monsoon across most of India, except in the northwest and southeast regions, where lower rainfall resulted in a higher ABLH during the active phase. In marine areas, the highest ABLH was observed during the active phase. However, ABLH was elevated over the oceanic regions adjacent to Saudi Arabia and Peninsular India during the break phase, suggesting that nearby land areas impact ABLH over marine regions. Thus, the changes in ABLH during the monsoon circulations are under the control of nearby oceanic regions and vice versa. Spectral analysis revealed low variance and high periodicity in ABLH over Peninsular India, with notably low variance during the break phase. The influence of the Western Ghats and the Arabian Sea makes constant ABLH over Peninsular India with high periodicity.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106765"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147422313","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":"Corrigendum to “An absolute cavity pyrgeometer to measure the absolute outdoor longwave irradiance with traceability to International System of Units, SI” [J. Atmos. Sol. Terr. Phys. 77 (2012) 132–143]","authors":"Ibrahim Reda ,&nbsp;Jinan Zeng ,&nbsp;Jonathan Scheuch ,&nbsp;Leonard Hanssen ,&nbsp;Boris Wilthan ,&nbsp;Daryl Myers ,&nbsp;Tom Stoffel","doi":"10.1016/j.jastp.2025.106679","DOIUrl":"10.1016/j.jastp.2025.106679","url":null,"abstract":"","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106679"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147422314","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":"Biomass burning signatures and seasonal variations of HCN and C2H6 over Addis Ababa using ground-based FTIR spectroscopy","authors":"Ambachew Abeje Alemu ,&nbsp;Gizaw Mengistu Tsidu","doi":"10.1016/j.jastp.2026.106758","DOIUrl":"10.1016/j.jastp.2026.106758","url":null,"abstract":"<div><div>We present the first multi-year analysis of hydrogen cyanide (HCN) and ethane (C<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span>) over Equatorial Africa using high-resolution ground-based Fourier Transform Infrared (FTIR) solar absorption spectroscopy. Measurements were conducted from May 2009 to February 2011 at the Addis Ababa University observatory (9.01 ° N, 38.76 ° E, 2.45 km asl), a unique station in a critically under-sampled region. Vertical profiles and total column amounts were retrieved using the PROFFIT algorithm. The results reveal significant seasonal variability in both species. Total column amounts ranged from 9.83 ×10¹⁸ to 6.39 ×10¹⁹ molecules<span><math><mi>⋅</mi></math></span>cm⁻² for HCN and from 3.60 ×10¹⁹ to 1.70 ×10²⁰ molecules<span><math><mi>⋅</mi></math></span>cm⁻² for C<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span>, with a pronounced maximum observed in March for both gases. This seasonal peak correlates strongly with the regional biomass burning season. Vertical distributions indicate C<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span> is predominantly confined to the lower troposphere (<span><math><mrow><mo>&lt;</mo><mn>8</mn></mrow></math></span> km), consistent with its primary surface sources and shorter atmospheric lifetime, while HCN shows significant sensitivity extending into the upper troposphere and lower stratosphere, reflecting its longer lifetime and capacity for vertical transport. A detailed case study for a high-concentration period in March 2010, employing HYSPLIT backward trajectories and satellite fire maps, demonstrates that elevated levels of HCN and C<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span> over Addis Ababa were associated with long-range transport of air masses originating from and passing over intense biomass burning regions in North and Central Africa. These findings provide direct observational evidence that biomass burning is a dominant source of both HCN and C<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span> in this region and underscore the importance of Equatorial Africa in the global budget of these trace gases. The study highlights the role of atmospheric transport in influencing local air quality and atmospheric composition and establishes a crucial baseline for future long-term monitoring in the region.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106758"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420968","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":"Statistical study of the Thermosphere-Ionosphere Sporadic Nickel (TISNi) layers over Beijing based on lidar observations","authors":"Zhijun Zhao ,&nbsp;Yuhang Qi ,&nbsp;Fuju Wu ,&nbsp;Fang Wu ,&nbsp;Xuyang Jiang ,&nbsp;Jing Jiao ,&nbsp;Guotao Yang","doi":"10.1016/j.jastp.2026.106743","DOIUrl":"10.1016/j.jastp.2026.106743","url":null,"abstract":"<div><div>This paper reports a lidar observation study of Thermosphere-Ionosphere Sporadic Nickel (TISNi) layers through 2675 h of lidar observations at Yanqing Station, Beijing (40.42°N, 116.02°E) from April 2019 to November 2022. A total of 41 TISNi events are observed during 304 observation nights. These events are only observed from May to October, showing obvious seasonal variation. TISNi had the highest occurrence rate in May (69%). It is worth noting that the ratio of TISNi peak density to the main layer peak density exceeds 1 during May–July but drops below 1 in August–October, indicating a relatively higher abundance of Ni atoms in the thermosphere-ionosphere region during May–July. Furthermore, TISNi shows a strong correlation with Es(sporadic E layer), almost every TISNi event corresponds to Es. Based on the Speed of descending of TISNi, it is speculated that TISNi is likely formed through the neutralization of Ni⁺, which is converged by tidal winds.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106743"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421989","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":"Modulation of basic Schumann resonance frequency by solar activity","authors":"Alexander P. Nickolaenko","doi":"10.1016/j.jastp.2026.106766","DOIUrl":"10.1016/j.jastp.2026.106766","url":null,"abstract":"<div><div>The present work treats the monthly-interannual variations of fundamental frequency of the global electromagnetic (Schumann) resonance observed in the vertical electric field component. During a year, the monthly averaged pattern &lt;<em>f</em>₁(UT)&gt; alters from month to month, but the particular outline of a given month repeats with small deviations from year to year thus reflecting the diurnal and seasonal periodicity in the dynamics of global thunderstorms. A heuristic model is derived for diurnal-seasonal-interannual variations on the basic SR frequency present in the long-term records in the Széchenyi István Geophysical Observatory (SZIGO) at Nagycenk, Hungary (47.6° N; 16.7° E). The observational data cover 192 months of continuous observations from January 1994 to December 2009. Statistical processing of records showed that interannual changes in SR frequency resemble the contemporary solar activity. The heuristic model was developed combining the standard (reference) diurnal-seasonal pattern of resonance frequency for a median year and the corrections accounting for variable solar activity relevant to a particular month and year. The model fits the observation data and accurately predicts the frequency variations using the known level of solar activity.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"280 ","pages":"Article 106766"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147422312","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}