Dynamics of Atmospheres and Oceans最新文献

{"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":"2025-04-27","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":"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":"2025-04-23","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}

{"title":"Sea surface temperature and marine heatwave variability in interconnected basins: The Black-Marmara-Aegean Seas","authors":"Şehriban Saçu ,&nbsp;Olgay Şen ,&nbsp;Tarkan Erdik ,&nbsp;İzzet Öztürk","doi":"10.1016/j.dynatmoce.2025.101555","DOIUrl":"10.1016/j.dynatmoce.2025.101555","url":null,"abstract":"<div><div>Sea surface temperature (SST) is a crucial parameter affecting marine ecosystems and has risen dramatically in recent decades due to climate change. This warming has led to an increase in the frequency and intensity of marine heatwave (MHW) events, prolonged periods of extreme SSTs, which have severe ecological consequences. This study investigates the spatiotemporal variability of SST and MHW characteristics across the interconnected Black, Marmara, and Aegean Seas using satellite-derived daily SST data from 1982 to 2021. Our findings indicate a significant SST increase across all three basins, with the most pronounced warming observed in the Black Sea, followed by the Marmara Sea. SST trends reach 0.8 °C/decade in the eastern Black Sea and 0.3 °C/decade in the Aegean Sea. Since the 2000s, SST warming has accelerated, with the long-term spatial mean trend of 0.57 °C/decade increasing to 0.68 °C/decade. This warming trend has driven a sharp increase in MHW frequency and duration, particularly in the last decade. The highest trend in MHW frequency is observed in the Marmara Sea, with an increase of 1.56 events/decade which further intensified after the 2000s. Beyond long-term trends, MHWs exhibit interannual variability, which correlates with the Eastern Atlantic (EA) and Eastern Atlantic/Western Russia (EAWR) climate indices. Given the rising frequency and duration of MHW events, we also examined mucilage outbreaks in the Marmara Sea during 2007 and 2021. Our analysis suggests that mucilage blooms correspond to years with intense and prolonged MHW events, highlighting MHWs as a potential driver of mucilage formation.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101555"},"PeriodicalIF":1.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863935","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":"2025-04-18","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":"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":"2025-04-08","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":"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":"2025-04-04","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":"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":"2025-04-04","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":"Sensitive area in the tropical Indian Ocean for advancing beyond the summer predictability barrier of Indian Ocean Dipole","authors":"Rong Feng ,&nbsp;Wansuo Duan","doi":"10.1016/j.dynatmoce.2025.101552","DOIUrl":"10.1016/j.dynatmoce.2025.101552","url":null,"abstract":"<div><div>Using the geophysical fluid dynamics laboratory climate model version 2p1 (GFDL CM2p1), perfect model predictability experiments have been conducted to identify the sensitive area in the tropical Indian Ocean for advancing beyond the summer predictability barrier (SPB) of positive Indian Ocean Dipole (IOD) events. In these experiments, the model is assumed to be perfect, and prediction errors are only caused by initial errors. Initially, the impact of initial error patterns on prediction uncertainties was assessed by comparing dipole pattern initial errors with three sets of spatially correlated noises. The results revealed that dipole pattern initial errors tend to result in larger prediction errors and higher error growth rates in summer, leading to a significant SPB phenomenon. Notably, the large values of these dipole pattern initial errors are concentrated in specific areas. By eliminating initial errors within these areas, the prediction errors in summer are largely reduced, underscoring the sensitivity of prediction uncertainties in summer to initial errors in these areas. Moreover, the prediction errors in summer exhibit a higher sensitivity to initial errors within the subsurface large value area compared to those within the surface large value area. Consequently, the subsurface large value area in the tropical Indian Ocean is the sensitive area for advancing beyond the SPB, aligning with the corresponding location for advancing beyond the WPB. Eliminating initial errors within this area leads to a rapid decrease in prediction uncertainties, with a more pronounced reduction in winter than in summer. Through intensive observations in this sensitive area, significant reductions in prediction errors in both summer and winter can be achieved, thereby greatly improve the forecast skill of IOD events.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101552"},"PeriodicalIF":1.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143790880","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":"Seasonal and topographical dynamics of precipitable water vapor in Nepal: A GNSS-based assessment","authors":"Srijan Thapa ,&nbsp;Riya Pokhrel ,&nbsp;Bigyan Banjara ,&nbsp;Bhijan Nyaupane ,&nbsp;Aadarsha Dhakal","doi":"10.1016/j.dynatmoce.2025.101548","DOIUrl":"10.1016/j.dynatmoce.2025.101548","url":null,"abstract":"<div><div>Precipitable water vapor (PWV), a key indicator of atmospheric moisture, plays a vital role in weather forecasting, climate studies, and understanding atmospheric thermodynamics. This study utilizes ground-based GNSS technology to estimate PWV and Zenith Tropospheric Delay (ZTD) across three distinct topographical regions of Nepal: Terai, Hilly, and Himalayan, over four seasons: winter, spring, summer, and autumn. The analysis reveals that the Terai region, characterized by lower elevations, consistently exhibits higher PWV and ZTD values compared to the high-altitude Himalayan region, with the Hilly region showing intermediate levels. Seasonal variations indicate the highest PWV and ZTD during the summer and the lowest during winter, reflecting the influence of monsoonal moisture. Diurnal variability analysis further shows significant fluctuations in PWV, with a minimum in the early morning (21:45–00:45 UTC) and at night (17:15–18:15 UTC) and a maximum during the warmest part of the day (6:15–9:15 UTC). These findings underscore the effectiveness of GNSS technology in monitoring atmospheric water vapor and highlight the significant impact of topography and seasonal cycles on PWV distribution in Nepal. Such research and insights are crucial for improving weather forecasting, advancing climate change research, and enhancing atmospheric monitoring in regions with diverse topographical features.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101548"},"PeriodicalIF":1.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767890","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":"Trends and drivers of tropical cyclones originating in the South China Sea during 1949–2021","authors":"Zhi Li ,&nbsp;Zecheng Xu ,&nbsp;Yue Fang","doi":"10.1016/j.dynatmoce.2025.101546","DOIUrl":"10.1016/j.dynatmoce.2025.101546","url":null,"abstract":"<div><div>Tropical cyclones (TCs) are extreme meteorological phenomena, characterized by intense winds and torrential rainfall, which pose severe risks to coastal inhabitants and infrastructure. In the South China Sea (SCS), TCs predominantly form during the main season from May to October. A comprehensive analysis of TC genesis within the SCS during May–September from 1949 to 2021 reveals a significant upward trend in TC frequency. To elucidate the underlying mechanisms driving this trend, we conducted diagnostic analyses of the Genesis Potential Index (GPI) and examined variations in relative humidity (RH) and specific humidity (SH). Our results demonstrate that anomalously elevated mid-level RH is the primary driver of the increasing frequency of locally generated SCS TCs, with this rise in RH attributed to changes in SH primarily influenced by vertical advection processes. These advection processes are largely facilitated by Ekman pumping, driven by the warming of sea surface temperatures (SST) in the SCS. This study establishes a robust linkage between the increasing TC frequency and the warming SST trend in the SCS, underscoring the profound influence of regional climate change on TC activity in the region.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"110 ","pages":"Article 101546"},"PeriodicalIF":1.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680440","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}