Dynamics of Atmospheres and Oceans最新文献

{"title":"New formulas for estimating initial dilution of buoyancy-dominated jets in a current","authors":"Galip Seckin ,&nbsp;Cagatayhan Bekir Ersu ,&nbsp;Irfan Macit","doi":"10.1016/j.dynatmoce.2025.101561","DOIUrl":"10.1016/j.dynatmoce.2025.101561","url":null,"abstract":"<div><div>For buoyancy-dominated effluents discharged into moving water, three distinct regions are recognized: the buoyancy-dominated near field (BDNF), the buoyancy-dominated far field (BDFF), and an intermediate transition region. Most existing initial dilution formulas—derived from empirical and field studies—focus on the BDNF and BDFF regions while neglecting the transition zone. In this study, two new semi-empirical equations were developed using field and experimental data: one for submerged discharges and another for minimum surface dilution. These equations were calibrated via nonlinear regression, offering a unified approach to effectively calculating initial dilution across both the BDNF and BDFF regions while also addressing the transition region’s dilution in a single step. The proposed formulas were further validated through comparison with an earlier semi-empirical model using the same dataset.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101561"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146715","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":"Application of Weibull distribution and stable energy concept for numerical solutions of random wave heights","authors":"Nga Thanh Duong ,&nbsp;Loc Xuan Luu ,&nbsp;Linh Hoang Tran ,&nbsp;Khiem Quang Tran","doi":"10.1016/j.dynatmoce.2025.101544","DOIUrl":"10.1016/j.dynatmoce.2025.101544","url":null,"abstract":"<div><div>This study focuses on developing a new energy dissipation model and a corresponding solution for random wave height transformation based on stable energy theory and the Weibull distribution. Eight previously established breaking wave height formulas will be evaluated for compatibility with the new numerical solution in predicting wave height. A range of evaluation criteria (e.g., relative root-mean-square error (<em>RRMSE</em>), root-mean-square error (<em>RMSE</em>), mean absolute error (<em>MAE</em>), and standard deviation (<em>ν</em>)) will be applied to verify the reliability of the developed energy dissipation model alongside 13 existing models, using a large dataset of up to 6007 data points collected from 11 historical experiments. The results indicate that the NK1 solution for wave height transformation derived from the new energy dissipation model DB1 performs best in wave height prediction, with optimal shape and scale parameters of 1.53 and 0.83, respectively. The use of the DB1 model (or, equivalently, the NK1 solution) reduces errors compared to the 13 existing models by 8.1–69.4 % for <em>RRMSE</em>. For other evaluation criteria, DB1 also consistently outperforms the existing models. The findings further suggest that the stable energy concept is a feasible approach despite receiving limited attention from researchers. Additionally, the Weibull distribution is recommended for developing energy dissipation models or solutions for irregular wave height transformation. Therefore, the newly developed DB1 model and corresponding NK1 solution are strongly recommended for calculating random wave height transformation.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101544"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480426","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":"Satellite-derived ocean color data for monitoring pCO2 dynamics in the North Indian Ocean","authors":"Ibrahim Shaik ,&nbsp;M.P. Fida Fathima ,&nbsp;P.V. Nagamani ,&nbsp;Sandesh Yadav ,&nbsp;Sibu Behera ,&nbsp;Yash Manmode ,&nbsp;G. Srinivasa Rao","doi":"10.1016/j.dynatmoce.2025.101534","DOIUrl":"10.1016/j.dynatmoce.2025.101534","url":null,"abstract":"<div><div>The partial pressure of carbon dioxide (<em>p</em>CO₂) in the North Indian Ocean (NIO) undergoes significant variations due to factors such as biological activity, ocean circulation patterns, and atmospheric influences. Understanding these variations is crucial for assessing the ocean role in the global carbon cycle and their impact on climate change. Estimating <em>p</em>CO₂ through in-situ platforms is challenging due to the time-consuming, expensive, and complex nature of water sample collection, particularly under rough oceanic conditions. Conversely, remote sensing technology offers high spatiotemporal resolution data over extensive synoptic scales, making it a valuable tool for <em>p</em>CO₂ estimation. Current models for estimating <em>p</em>CO₂ in the NIO region are limited due to the improper selection of model parameters and the scarcity of in-situ measurements, highlighting the need for a more accurate approach. This study develops a Multiparametric Linear Regression (MLR) method, integrating satellite and in-situ observations of sea surface temperature (SST), sea surface salinity (SSS), and chlorophyll-a (Chla) concentration. To develop and validate this model, in-situ data were sourced from the Global Ocean Data Analysis Project (GLODAP). Validation results showed that the proposed MLR approach outperformed existing global models, achieving low mean relative error (MRE = 0.08), mean normalized bias (MNB = 0.013), and root mean square error (RMSE = 7.26 μatm), with a high correlation coefficient (R² = 0.96). This study has the potential to improve understanding of carbon dynamics in the NIO region and its contribution to the global carbon cycle. The <em>p</em>CO₂ maps generated in this study improve climate modeling and monitoring, supporting predictions and mitigation efforts. This accurate model also aids policy-making, environmental management, and ecological assessments.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101534"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177318","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":"Interannual variations of mixed layer temperature and salinity in the South Indian Ocean salinity maxima region","authors":"Madhu Kaundal ,&nbsp;Mihir K. Dash ,&nbsp;Jithendra Raju Nadimpalli","doi":"10.1016/j.dynatmoce.2025.101547","DOIUrl":"10.1016/j.dynatmoce.2025.101547","url":null,"abstract":"<div><div>The study explores mixed layer temperature (MLT) and salinity (MLS) variability in the salinity maxima region present in the South Indian Ocean (SIO) on interannual time scale using ECCOv4r4 and Argo observations. It is observed that MLT and MLS are in tandem with surface heat flux and evaporation changes during the austral summer and winter seasons. Although the monthly evolution of high salinity in the SIO shows that the high salinity core is primarily located near 30° S, with notable seasonal variability south of 30° S. The region exhibits high interannual variability in MLT compared to MLS. Covariance and budget analysis show that net heat flux is the primary and significant component that contributes to the mixed-layer heat budget. However, changes in MLS are mainly attributed to meridional advection and entrainment. Furthermore, MLT variability is separated into two phases (I) 1992<span><math><mo>−</mo></math></span>2006, where the temperature is mostly below climatological value and (II) after 2007, the temperature is seen increasing with a hiatus-like signature from 2010<span><math><mo>−</mo></math></span>2015. During phase I, the MLT tendency is driven by meridional advection followed by net heat flux. However, in phase II, net heat flux mainly drives the temperature tendency, and meridional advection plays a secondary role. Whereas, salinity tendency is mainly driven by meridional advection. Further, in 1992<span><math><mo>−</mo></math></span>2006 period, downward Ekman pumping results from the strengthening of wind stress curl, led to the deepening of the mixed layer, while after 2006 MLD shoals due to weakening of wind stress curl. Additionally, during the second phase, the reduced meridional velocities in the mixed layer contribute to warming and salinification in the region.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101547"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825758","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":"The Caspian Sea as a full-scale experimental facility supported by altimetry measurements of wind-driven waves","authors":"Sergei I. Badulin ,&nbsp;Andrey G. Kostianoy ,&nbsp;Sergey A. Lebedev ,&nbsp;Alexander P. Popov","doi":"10.1016/j.dynatmoce.2025.101554","DOIUrl":"10.1016/j.dynatmoce.2025.101554","url":null,"abstract":"<div><div>The Caspian Sea is the largest inland water body. Strong and stable winds regularly occur along its longest stretch of more than 1000 km from the Volga Lowland in Russia to the Iranian coast. During these events, wind speeds can exceed 20 m/s and significant wave heights 5 m. These wind directions often align with the tracks of satellite altimeters that have been monitoring the sea state since September 1992. This makes the Caspian Sea an ideal location replicating idealized conditions for the growth of wind-driven waves, and supported by a high-precision network of satellite altimeters.</div><div>The shape of the coastline and prevalent wind directions allowed us to view the sea as a full-scale wind-wave research facility. In situ measurements and observations of sea state in this area are scarce and inaccurate while the altimetry tracks provide a ready-to-use high-quality measurement network. We analyze data of satellite missions Jason-3 for years 2016-2022 and CFOSAT (Chinese-French Oceanography SATellite) for 2019-2023 to assess the potential of the full-scale experimental facility. These missions provide valuable data showcasing the Caspian Sea as a realistic model for the World Ocean with minimal contaminating effects of swell, tides and currents. This makes the “clean cases” of the Caspian Sea particularly valuable both as a reference for understanding general wave physics and for regional studies on sea wave dynamics.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101554"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936014","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":"Composite analysis of the rainfall distribution caused by strong and weak landfalling tropical cyclones over the China Mainland","authors":"YAN Ling ,&nbsp;ZHOU Yushu ,&nbsp;WANG Shengzhen ,&nbsp;WANG Mingming","doi":"10.1016/j.dynatmoce.2025.101551","DOIUrl":"10.1016/j.dynatmoce.2025.101551","url":null,"abstract":"<div><div>Tropical cyclones (TCs) making landfall in China from 2008 to 2016 were grouped into three clusters based on landfall location and movement. The first two clusters made landfall in Southeast China (SEC), moving either northward or westward/northwestward, while the third cluster made landfall in Southern China (SC) and moved westward or northwestward. A statistical analysis examined differences in precipitation distribution and influencing factors. This analysis utilized data from the China Meteorological Administration (CMA) tropical cyclone database, ECMWF ERA-Interim reanalysis data, and CMORPH (Climate Prediction Center Morphing Technique) precipitation data, derived from both station observations and satellite retrievals. The findings reveal significant differences between strong (more intense than a tropical storm) and weak (less intense than a tropical storm) TCs in different clusters. Strong TCs in first cluster (SEC-strong) cause heavy rainfall areas to shift farther north, particularly in Jiangsu Province, with extreme rainfall occurring in the inner rainbands in a relatively symmetrical pattern. Conversely, rainfall from SEC-weak TCs is markedly asymmetric, concentrated in the inner regions and predominantly to the south of the middle rainbands. For SC-weak TCs, intense precipitation is primarily located in the southwest quadrant. Meanwhile, SC-strong TCs display a broader area of heavy rainfall, with coverage extending further west compared to SC-weak. A dynamic composite analysis of the primary weather systems influencing rainfall distribution before and after landfall was performed for SEC-strong, SEC-weak, SC-strong, and SC-weak TCs. This analysis highlighted significant differences in the positioning of the South Asian High (SAH), the intensity of vertical wind shear (VWS), and the characteristics of moisture convergence zones. Specifically, SEC-strong TCs exhibit a more robust water vapor transport channel, with easterly winds delivering moisture to the northern side of the TC center, compared to SEC-weak. Differences are also evident in their vertical structures, including variations in warm-core intensity, radial vertical motion, the asymmetric distribution of convergence and divergence fields, and instability conditions. Similarly, SC-strong and SC-weak TCs differ in the positioning of the 500 hPa subtropical high and the distribution of integrated atmospheric precipitable water (PW).</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101551"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815785","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":"Comparative drought analysis in Amasya and Merzifon with ZSI, PNI and NDI under transitional climatic conditions","authors":"Utku Zeybekoglu","doi":"10.1016/j.dynatmoce.2025.101556","DOIUrl":"10.1016/j.dynatmoce.2025.101556","url":null,"abstract":"<div><div>Drought is a recurring global problem characterised by multiple climatological and hydrological parameters, causing significant damage to both the natural environment and life. The onset of a drought is characterised by a meteorological drought, which is defined as a decrease in precipitation. The present study investigates the meteorological drought experienced by Amasya and Merzifon, which are located within the transition zone between the Black Sea and continental climates in Türkiye. The drought analysis utilised the ZSI, the PNI and the NDI which is a metric employed to quantify drought. Furthermore, the temporal trends of precipitation, temperature and drought values were investigated using Mann-Kendall, Spearman's Rho and Innovative Trend Analysis. The Drought Indices (DIs) identified significant dry years in 1964–1966, 1974–1975, 1981–1982, 1984, 1986, 1989–1990, 1994, 1999, 2001–2003, 2006–2007, 2011, 2013–2015, and 2017–2021. The assessment revealed that the ZSI, the PNI and NDI performed similarly in terms of identifying drought. The trend analysis results indicate a rising trend in precipitation and temperatures. While ZSI and PNI show an increasing trend, NDI also tends to decrease due to the effect of temperature. The results of both the drought and trend analyses suggest that temperature plays a more influential role in the regional climate compared to other meteorological parameters.The findings reveal the historical development of droughts in the region and their effects on the region's environment with different drought indices. The findings herein have the potential to provide a scientific foundation for the management of local drought conditions. It is posited that by implementing preventative measures and formulating suitable strategies, the likelihood of significant drought-related problems can be substantially mitigated.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101556"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886841","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":"Radiation partitioning in a cloud-rich tropical mountain rain forest of the S-Ecuadorian Andes for use in plot-based land surface modelling","authors":"P. Grigusova ,&nbsp;O. Limberger ,&nbsp;C. Murkute ,&nbsp;F. Pucha ,&nbsp;V.H. González-Jaramillo ,&nbsp;A. Fries ,&nbsp;D. Windhorst ,&nbsp;L. Breuer ,&nbsp;M. Dantas de Paula ,&nbsp;T. Hickler ,&nbsp;K. Trachte ,&nbsp;J. Bendix","doi":"10.1016/j.dynatmoce.2025.101553","DOIUrl":"10.1016/j.dynatmoce.2025.101553","url":null,"abstract":"<div><div>Understanding the partitioning of downward shortwave radiation into direct and diffuse components is essential for modeling ecosystem energy fluxes. Accurate partitioning functions are critical for land surface models (LSMs) coupled with climate models, yet these functions often depend on regional cloud and aerosol conditions. While data for developing semi-empirical partitioning functions are abundant in mid-latitudes, their performance in tropical regions, particularly in the high Andes, remains poorly understood due to scarce ground-based measurements. This study analyzed a unique dataset of shortwave radiation components from a tropical mountain rainforest (MRF) in southern Ecuador, developing and testing a locally adapted partitioning function using Random Forest Regression. The model achieved high accuracy in predicting the percentage of diffuse radiation (%Dif; R²=0.95, RMSE = 5.33, MAE = 3.74) and absolute diffuse radiation (R²=0.99, RMSE = 5.30, MAE = 14). When applied to simulate upward shortwave radiation, the model outperformed commonly used partitioning functions achieving the lowest RMSE (8.62) and MAE (5.82) while matching the highest R² (0.97). These results underscore the importance of regionally adapted radiation partitioning functions for improving LSM performance, particularly in complex tropical environments. The adapted LSM will be further utilized for studies on heat fluxes and carbon sequestration.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101553"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859820","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":"Evolution of the vertically tilted structure of MJO during its eastward propagation","authors":"Feng Hu ,&nbsp;Chi Xu ,&nbsp;Qiao Liu ,&nbsp;Jianhui Xu","doi":"10.1016/j.dynatmoce.2025.101550","DOIUrl":"10.1016/j.dynatmoce.2025.101550","url":null,"abstract":"<div><div>The existence and evolution of MJO vertically tilted structure (VTS) across its eastward propagation have been validated through the diagnosis of observational data during 1979–2022 boreal winter. A total of 53 eastward-propagating MJO events, comprising 215 pentads, were selected based on cluster diagnosis. By comparing the range of ascending motion between the upper and lower layers in the rear of MJO convective centers, it has been demonstrated that the VTS exists only on the intraseasonal time scale and is not presented in the high-frequency or low-frequency fields. 70 % of MJO pentads are occupied with VTS. The proportion and intensity of VTS vary as the MJO propagates eastward from 60°E to 180°, both exhibiting a bimodal distribution. In most basins, MJO with VTS is a prominent feature, except where MJO convection is just forming (60°-70°E) or about to dissipate (170°E to 180°), in which the proportion of VTS is lower than that of no-VTS. The intensity of VTS follows a similar evolutionary pattern, being strongest in the Western Pacific and weakest in the western Indian Ocean and central Pacific. There is positive (negative) relationship between phase speed and intensity of VTS (proportion of no-VTS), the correlation coefficient of which is 0.59 (-0.66), all exceeding the 99 % significant level. The evolution of VTS would be regulated by the low-frequency background. The precipitation has a prominently positive (negative) impact on the intensity of VTS (no-VTS proportions). The vertical wind shear and upper-layer zonal velocity have a significantly negative (positive) effect on the intensity of VTS (no-VTS proportions).</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101550"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815781","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":"Revisiting the differential impacts of Eastern‐Pacific and Central‐Pacific El Niño on late autumn to winter precipitation over South China","authors":"Lanyu Jia,&nbsp;Yongqing Guo","doi":"10.1016/j.dynatmoce.2025.101557","DOIUrl":"10.1016/j.dynatmoce.2025.101557","url":null,"abstract":"<div><div>Although intensive studies examined the precipitation anomalies in China during the Eastern-Pacific (EP) and Central-Pacific (CP) El Niño, the impact of the CP El Niño event on winter precipitation in South China remains controversial. Besides, precipitation in South China peaks from late autumn to winter (November, December, and January, NDJ) during the winter half-year. These motivate us to revisit NDJ precipitation anomalies in South China during the EP and CP El Niño events. Results show that significantly increased precipitation is observed during both types of El Niño events. However, the spatial patterns and intensities of the precipitation anomalies differ. During the EP El Niño event, large positive precipitation anomalies appear throughout South China. In contrast, during the CP El Niño event, much smaller precipitation anomalies occur primarily in the southwest-to-northeast inland region of South China. These differences originate from the varying locations and intensities of warm sea surface temperature (SST) anomalies in the equatorial Pacific related to El Niño. The SST anomalies during the CP El Niño are located farther west and weaker than during the EP El Niño. A pair of an anomalous anticyclone east of or over the Philippine Islands and an anomalous cyclone northeast of South China connect these SST anomalies to precipitation in South China. We demonstrate that the correlations between CP El Niño and NDJ precipitation anomalies in South China vary remarkably across different periods. This may explain the source of controversy regarding the impact of the CP El Niño on precipitation in South China.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101557"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874564","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}