Tropical Cyclone Research and Review最新文献

{"title":"The weakening effect of urbanization on tropical cyclone surface winds : An observational study for Shanghai","authors":"Lechuan Zhang ,&nbsp;Hui Yu ,&nbsp;Xiangyu Ao ,&nbsp;Shengming Tang","doi":"10.1016/j.tcrr.2024.02.002","DOIUrl":"10.1016/j.tcrr.2024.02.002","url":null,"abstract":"<div><p>The observation-reanalysis difference method (OMR) and wind profile fitting method were used to analyze the influence urbanization has on the near-surface wind speed in Shanghai during tropical cyclone events. The data used include daily wind speed data from the Shanghai Meteorological Observatory Station collected from 1991 to 2020, hourly wind speed data from 100 m high wind towers from 2017 to 2019, and reanalysis data that covered the same period. The results indicated that during tropical cyclone occurrence, the wind speed of the OMR in the central urban region was significantly lower than that in the suburban area, and the OMR declined more obviously over the year, down to −8 m/s in 2020. Urbanization leads to the increase of average wind weakening rate to be higher than the maximum wind weakening rate, causing the maximum weakening rate of the central urban region to the average wind over 80%, while maximum wind speed was less than 80%. The weakening rate of both the average and maximum wind speeds during tropical cyclone impacts is greater than the rate that the annual average wind speed was reduced. A logarithmic variation was visible in the wind profile of the island station during tropical cyclone occurrence, with an average friction velocity U∗ of 0.9389 m/s and an average rough length Z₀ of 0.4915 m. The wind speed during tropical cyclone events was higher than the three-year average wind speed within each layer. The suburban stations show a linear variation, and every hundred meters of height results in an increase of 5–6 m/s in the wind speed change rate. At 100 m of altitude, the wind speed in the suburban region is reduced by approximately 40%.</p></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"13 1","pages":"Pages 15-23"},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2225603224000110/pdfft?md5=6623a5096d43399f057bd779346bcc2b&pid=1-s2.0-S2225603224000110-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of the rapid intensification of two super cyclonic storms in the Arabian Sea","authors":"Longsheng Liu ,&nbsp;Yiwu Huang ,&nbsp;Lian Liu","doi":"10.1016/j.tcrr.2024.03.001","DOIUrl":"10.1016/j.tcrr.2024.03.001","url":null,"abstract":"<div><p>A comparative analysis of the rapid intensification (RI) of super cyclonic storms Chapala (2015) and Kyarr (2019) in the Arabian Sea is conducted using the North Indian Ocean tropical cyclone data, microwave sounding images, the NOAA OISST data and the ERA5 reanalysis data. Results show that the subtropical westerly jet stream and the Southern Hemisphere anticyclonic circulation led to the formation of an obvious double-channel outflow from the northern and southern sides of the two storm centers, and the substantial inflow appeared at the eastern boundary layer of both storms. These promoted the vertical ascent motion and release of the latent heat of condensation. A warm sea surface is a necessary but not dominant factor for the RI of cyclonic storms in the Arabian Sea. During the RI of Chapala and Kyarr, the deep vertical wind shear was less than 10 m s⁻¹; moreover, the mid-level humidity conditions favored the RI of the two cyclonic storms. Chapala had a single warm core, whereas Kyarr had double warm cores in the vertical direction. The impacts of the latent heat of fusion is more obvious for Chapala, and the potential vorticity in its inner core increases from 4.4 PVU to 8.8 PVU, whereas the potential vorticity and vorticity in the inner core of Kyarr do not change significantly. Microwave detection images show that both Chapala and Kyarr were accompanied by the formation of eyewalls during the RI phase, and the radius of maximum wind decreased and the maximum wind speed increased during the eyewall-thinning process. Both Chapala and Kyarr passed through a positive anomaly region of maximum potential intensity during the RI phase, which increases the possibility to develop to higher intensity after genesis.</p></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"13 1","pages":"Pages 41-54"},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2225603224000134/pdfft?md5=9b969405cbb808bdf834c388f713833c&pid=1-s2.0-S2225603224000134-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140271198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct assimilation of simulated radar reflectivity for typhoon In-fa using EnKF: Issue with state variables updating","authors":"Ziyue Wang ,&nbsp;Jingyao Luo ,&nbsp;Hong Li ,&nbsp;Yijie Zhu","doi":"10.1016/j.tcrr.2024.02.003","DOIUrl":"10.1016/j.tcrr.2024.02.003","url":null,"abstract":"<div><p>Using a convective scale WRF-GSI system and a reflectivity observation operator based on the double-moment microphysics (Thompson) scheme, simulated radar reflectivity data are produced and then directly assimilated with EnKF through Observing System Simulation Experiments (OSSEs) for the case of typhoon In-Fa (2021). We examined the ability of the EnKF to simultaneously estimate state variables and conducted sensitivity tests to evaluate the impact of updating different state variables. The results show that updating a full set of analysis variables can help obtain highly precise initial fields in the model and improve typhoon forecast skills. Excluding the horizontal wind update will affect the adjustment of the temperature field and the sea level pressure field during the cyclic assimilation process. Updating the variables directly related to the reflectivity operator alone could adjust hydrometers well, but the positive impact arising from the assimilation quickly vanishes during the forecast. In addition, this study also includes a quantitative RMSE analysis for each variable during the assimilation cycle and compares the effect of each schemes on different variables.</p></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"13 1","pages":"Pages 24-32"},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2225603224000122/pdfft?md5=57bc22efe0eefc76f130050fd7e4d0de&pid=1-s2.0-S2225603224000122-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in landfalling tropical cyclone asymmetric rainfall mechanism and forecast verification over China","authors":"Zifeng Yu ,&nbsp;Peiyan Chen ,&nbsp;Fumin Ren ,&nbsp;Lichun Tang ,&nbsp;Weiwei Wang ,&nbsp;Hui Yu ,&nbsp;Kun Zhao","doi":"10.1016/j.tcrr.2024.02.001","DOIUrl":"10.1016/j.tcrr.2024.02.001","url":null,"abstract":"<div><p>Held every four years, the International Workshop on Tropical Cyclone (IWTC) organized by the World Meteorological Organization has been a global leading conference in the field of tropical cyclone. In preparation for the 10th IWTC (IWTC-10) in December 2022, a summary of research advances of landfalling tropical cyclone (LTC) rainfall during past four years of 2019–2022 has been prepared. Some of the latest research advances has been summarized in Lamers et al. (2023), which reviewed the latest forecast and disaster prevention methods related to TC precipitation. As a supplement, this article mainly focuses on the recent advances in LTC asymmetric rainfall evolution mechanisms and forecast verification results over China. Some new findings have been made in the LTC inner-core size relationship with the asymmetric rainfall distribution. Some major advances focused on asymmetric microphysical characteristics in the TC rainbands. Current simulation and forecast performances of LTC precipitation have been analyzed, and different forecast error sources for rainfall during different landfall stages of TC were compared. To estimate the risk of TC rainfall hazards in China, a parameterized Tropical Cyclone Precipitation Model was reviewed as well in this article.</p></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"13 1","pages":"Pages 33-40"},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2225603224000109/pdfft?md5=3362c5f14f07a81eb225ed5cf563f078&pid=1-s2.0-S2225603224000109-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140281809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recommendations for improved tropical cyclone formation and position probabilistic Forecast products","authors":"Jason P. Dunion ,&nbsp;Chris Davis ,&nbsp;Helen Titley ,&nbsp;Helen Greatrex ,&nbsp;Munehiko Yamaguchi ,&nbsp;John Methven ,&nbsp;Raghavendra Ashrit ,&nbsp;Zhuo Wang ,&nbsp;Hui Yu ,&nbsp;Anne-Claire Fontan ,&nbsp;Alan Brammer ,&nbsp;Matthew Kucas ,&nbsp;Matthew Ford ,&nbsp;Philippe Papin ,&nbsp;Fernando Prates ,&nbsp;Carla Mooney ,&nbsp;Andrew Kruczkiewicz ,&nbsp;Paromita Chakraborty ,&nbsp;Andrew Burton ,&nbsp;Mark DeMaria ,&nbsp;Jonathan L. Vigh","doi":"10.1016/j.tcrr.2023.11.003","DOIUrl":"10.1016/j.tcrr.2023.11.003","url":null,"abstract":"<div><div>Prediction of the potentially devastating impact of landfalling tropical cyclones (TCs) relies substantially on numerical prediction systems. Due to the limited predictability of TCs and the need to express forecast confidence and possible scenarios, it is vital to exploit the benefits of dynamic ensemble forecasts in operational TC forecasts and warnings. RSMCs, TCWCs, and other forecast centers value probabilistic guidance for TCs, but the International Workshop on Tropical Cyclones (IWTC-9) found that the “pull-through” of probabilistic information to operational warnings using those forecasts is slow. IWTC-9 recommendations led to the formation of the WMO/WWRP Tropical Cyclone-Probabilistic Forecast Products (TC-PFP) project, which is also endorsed as a WMO Seamless GDPFS Pilot Project. The main goal of TC-PFP is to coordinate across forecast centers to help identify best practice guidance for probabilistic TC forecasts. TC-PFP is being implemented in 3 phases: Phase 1 (TC formation and position); Phase 2 (TC intensity and structure); and Phase 3 (TC related rainfall and storm surge). This article provides a summary of Phase 1 and reviews the current state of the science of probabilistic forecasting of TC formation and position. There is considerable variability in the nature and interpretation of forecast products based on ensemble information, making it challenging to transfer knowledge of best practices across forecast centers. Communication among forecast centers regarding the effectiveness of different approaches would be helpful for conveying best practices. Close collaboration with experts experienced in communicating complex probabilistic TC information and sharing of best practices between centers would help to ensure effective decisions can be made based on TC forecasts. Finally, forecast centers need timely access to ensemble information that has consistent, user-friendly ensemble information. Greater consistency across forecast centers in data accessibility, probabilistic forecast products, and warnings and their communication to users will produce more reliable information and support improved outcomes.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 241-258"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139296954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phase transitions between tropical, subtropical, and extratropical cyclones: A review from IWTC-10","authors":"Kimberly Wood ,&nbsp;Wataru Yanase ,&nbsp;Jack Beven ,&nbsp;Suzana J. Camargo ,&nbsp;Joseph B. Courtney ,&nbsp;Chris Fogarty ,&nbsp;Junya Fukuda ,&nbsp;Naoko Kitabatake ,&nbsp;Matthew Kucas ,&nbsp;Ron McTaggart-Cowan ,&nbsp;Michelle Simões Reboita ,&nbsp;Jacopo Riboldi","doi":"10.1016/j.tcrr.2023.11.002","DOIUrl":"10.1016/j.tcrr.2023.11.002","url":null,"abstract":"<div><div>This review, which was adapted from a Tenth International Workshop on Tropical Cyclones (IWTC-10) report, discusses research findings and operational practices relevant to cyclone types and phase transitions (extratropical, subtropical, and tropical). The cyclone phase space (CPS) method is widely used in both historical investigations and real-time evaluation of cyclone type and transition; however, CPS parameter values depend on input data resolution, and universal thresholds do not currently exist to delineate when a cyclone transitions from one type to another. Assessments of phase transitions in a changing climate highlight potential latitude shifts in extratropical transition and increased potential for tropical transition, but realistic projections of future trends likely require high-resolution simulations that can capture the cyclone warm core.</div><div>Operational meteorological centers apply varied approaches to cyclone classification via CPS parameters and other criteria, some of which depend on the tropical basin, yet these approaches cannot fully address challenges in operational classification and subsequently in communicating risks associated with these phase transitions. We recommend a multivariate historical assessment of tropical and subtropical cyclones across all basins in which they occur, including the South Atlantic Ocean and the Mediterranean Sea, to identify the potential for a more universal cyclone classification approach that meets operational needs.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 294-308"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of big-data and AI application in typhoon-related disaster risk early warning in Typhoon Committee region","authors":"Jinping Liu ,&nbsp;Jeonghye Lee ,&nbsp;Ruide Zhou","doi":"10.1016/j.tcrr.2023.12.004","DOIUrl":"10.1016/j.tcrr.2023.12.004","url":null,"abstract":"<div><div>ESCAP/WMO Typhoon Committee Members are directly or indirectly affected by typhoons every year. Members have accumulated rich experiences dealing with typhoons' negative impact and developed the technologies and measures on typhoon-related disaster risk forecasting and early warning in various ways to reduce the damage caused by typhoon. However, it is still facing many difficulties and challenges to accurately forecast the occurrence of typhoons and warning the potential impacts in an early stage due to the continuously changing weather conditions. With the development of information technology (IT) and computing science, and increasing accumulated hydro-meteorological data in recent decades, scientists, researchers and operationers keep trying to improve forecasting models based on the application of big data and artificial intelligent (AI) technology to promote the capacity of typhoon-related disaster risk forecasting and early warning. This paper reviewed the current status of application of big data and AI technology in the aspect of typhoon-related disaster risk forecasting and early warning, and discussed the challenges and limitations that must be addressed to effectively harness the power of big data and AI technology application in typhoon-related disaster risk reduction in the future.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 341-353"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in operational tropical cyclone genesis forecast","authors":"K.K. Hon ,&nbsp;Robert Ballard ,&nbsp;Eric Blake ,&nbsp;Steph Bond ,&nbsp;Robb Gile ,&nbsp;Daniel Halperin ,&nbsp;Charles Helms ,&nbsp;Hoang Lam ,&nbsp;Xinyan Lyu ,&nbsp;Mrutyunjay Mohapatra ,&nbsp;Monica Sharma ,&nbsp;Akira Shimokobe ,&nbsp;Ralf Toumi ,&nbsp;Seonghee Won","doi":"10.1016/j.tcrr.2023.12.001","DOIUrl":"10.1016/j.tcrr.2023.12.001","url":null,"abstract":"<div><div>Tropical cyclone (TC) genesis prediction is a major scientific challenge to the TC operation and research community. This report surveys the current status of TC genesis forecasts by a number of major operational centers covering the key ocean basins across both hemispheres. Since IWTC-9, we see an emergence of probabilistic TC genesis forecast products by operational centers, typically supported by the statistical processing of a combination of ensemble prediction and satellite analysis, covering time periods of couple of days to weeks ahead. The prevalence of multi-center grand ensemble approach highlights the uncertainties involved and the forecast challenges in quantitative genesis prediction. While operational practice might differ across agencies, verification efforts generally report a steady or slightly improving skill level in terms of reliability, which likely results from the continual improvement in global numerical weather prediction capability.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 323-340"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139018499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unusual tracks: Statistical, controlling factors and model prediction","authors":"Ying Li ,&nbsp;Julian Heming ,&nbsp;Ryan D. Torn ,&nbsp;Shaojun Lai ,&nbsp;Yinglong Xu ,&nbsp;Xiaomeng Chen","doi":"10.1016/j.tcrr.2023.12.002","DOIUrl":"10.1016/j.tcrr.2023.12.002","url":null,"abstract":"<div><div>The progress of research and forecast techniques for tropical cyclone (TC) unusual tracks (UTs) in recent years is reviewed. A major research focus has been understanding which processes contribute to the evolution of the TC and steering flow over time, especially the reasons for the sharp changes in TC motion over a short period of time. When TCs are located in the vicinity of monsoon gyres, TC track forecast become more difficult to forecast due to the complex interaction between the TCs and the gyres. Moreover, the convection and latent heat can also feed back into the synoptic-scale features and in turn modify the steering flow. In this report, two cases with UTs are examined, along with an assessment of numerical model forecasts. Advances in numerical modelling and in particular the development of ensemble forecasting systems have proved beneficial in the prediction of such TCs. There are still great challenges in operational track forecasts and warnings, such as the initial TC track forecast, which is based on a poor pre-genesis analysis, TC track forecasts during interaction between two or more TCs and track predictions after landfall. Recently, artificial intelligence (AI) methods such as machine learning or deep learning have been widely applied in the field of TC forecasting. For TC track forecasting, a more effective method of center location is obtained by combining data from various sources and fully exploring the potential of AI, which provides more possibilities for improving TC prediction.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 309-322"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138986493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote sensing and analysis of tropical cyclones: Current and emerging satellite sensors","authors":"Lucrezia Ricciardulli ,&nbsp;Brian Howell ,&nbsp;Christopher R. Jackson ,&nbsp;Jeff Hawkins ,&nbsp;Joe Courtney ,&nbsp;Ad Stoffelen ,&nbsp;Sebastian Langlade ,&nbsp;Chris Fogarty ,&nbsp;Alexis Mouche ,&nbsp;William Blackwell ,&nbsp;Thomas Meissner ,&nbsp;Julian Heming ,&nbsp;Brett Candy ,&nbsp;Tony McNally ,&nbsp;Masahiro Kazumori ,&nbsp;Chinmay Khadke ,&nbsp;Maria Ana Glaiza Escullar","doi":"10.1016/j.tcrr.2023.12.003","DOIUrl":"10.1016/j.tcrr.2023.12.003","url":null,"abstract":"<div><div>This article describes recent advances in the capability of new satellite sensors for observing Tropical Cyclones (TC) fine structure, wind field, and temporal evolution. The article is based on a World Meteorological Organization (WMO) report prepared for the 10th International Workshop on Tropical Cyclones (IWTC), held in Bali in December 2022, and its objective is to present updates in TC research and operation every four years. Here we focus on updates regarding the most recent space-based TC observations, and we cover new methodologies and techniques using polar orbiting sensors, such as C-band synthetic aperture radars (SARs), L-band and combined C/X-band radiometers, scatterometers, and microwave imagers/sounders. We additionally address progress made with the new generation of geostationary and small satellites, and discuss future sensors planned to be launched in the next years. We then briefly describe some examples on how the newest sensors are used in operations and data assimilation for TC forecasting and research, and conclude the article with a discussion on the remaining challenges of TC space-based observations and possible ways to address them in the near future.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"12 4","pages":"Pages 267-293"},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}