Aeolian Research最新文献_第3页

Corrigendum to “Off-season wind-induced soil erosion from potato fields under varying bedding preparations”. [Aeolian Res. 74 (2025) 101000] “不同垫层处理下马铃薯田非季节风致土壤侵蚀”的勘误表。[风沙法令74 (2025)101000]

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-20 DOI: 10.1016/j.aeolia.2025.101013

Matt Ball , Guillermo Hernandez-Ramirez , Willemijn Appels , Sheng Li , Rezvan Karimi Dehkordi

引用次数: 0

Atmospheric dust: cluster based frequency and intensity projections in Central Asia under SSP scenarios 大气尘埃：SSP情景下中亚基于簇的频率和强度预估

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-08 DOI: 10.1016/j.aeolia.2025.101009

Ali Mozhdehi Fard , Parya Broomandi , Mehdi Bagheri , Nick Middleton , Dorna Gholamzade Ledari , Aram Fathian , Sadjad Shafiei , Michael Leuchner , Jong Ryeol Kim

{"title":"Atmospheric dust: cluster based frequency and intensity projections in Central Asia under SSP scenarios","authors":"Ali Mozhdehi Fard , Parya Broomandi , Mehdi Bagheri , Nick Middleton , Dorna Gholamzade Ledari , Aram Fathian , Sadjad Shafiei , Michael Leuchner , Jong Ryeol Kim","doi":"10.1016/j.aeolia.2025.101009","DOIUrl":"10.1016/j.aeolia.2025.101009","url":null,"abstract":"<div><div>Atmospheric dust significantly influences regional and global climate systems, especially in the arid and semi-arid regions of Central Asia (CA), where it impacts air quality, visibility, and human health. This study provides the first comprehensive spatiotemporal analysis of future dust levels in CA using aerosol optical thickness (AOT) under climate change scenarios to support effective adaptation and mitigation efforts. Multi-ensemble CMIP6 models show notable variability across six clusters under SSP2–4.5 and SSP5–8.5. In the near-future, localized increases are observed—for example, Cluster 1, covering the flat, lowland regions of northern Kazakhstan, shows an annual slope of 0.61 under SSP2–4.5, while Cluster 3, which includes the northwestern lowlands near the Caspian Sea and the mountainous southeastern regions of CA, shows a slight decline of −0.14 under SSP5–8.5. By the far-future, under SSP5–8.5, Cluster 1 shows a sharp decline (slope = -3.94), while Cluster 3 experiences a moderate decrease of −2.31.</div><div>Projections also indicate a strong rise in low-intensity events, particularly in Cluster 1, with a 137.1% increase under SSP5–8.5, reaching 32,432 annual events by 2100. In contrast, high-intensity events are expected to decline, especially in Cluster 2 (southern Kazakhstan desert and semi-desert areas), which is projected to experience a 47.7% decrease under SSP5–8.5. These findings show that SSP2–4.5 favors stabilization by moderating extremes, while SSP5–8.5 increases variability and localized dust intensification. The results offer key insights for guiding targeted mitigation and adaptation strategies to address dust-related environmental and societal challenges in CA.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101009"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Origin and late pleistocene to early holocene activity of albany pine bush dune field, New York, northeastern USA 美国东北部纽约奥尔巴尼松丛沙丘场的起源及晚更新世至全新世早期的活动

IF 3.1 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-07-09 DOI: 10.1016/j.aeolia.2025.100992

S.A. Wolfe , D. Franzi , B. Carl , N. Ferguson , B. Woronko , D. Chmielowska-Michalak , G. Pantoja , M. Schaarschmidt , O.B. Lian , A. Gontz , N. Gifford

{"title":"Origin and late pleistocene to early holocene activity of albany pine bush dune field, New York, northeastern USA","authors":"S.A. Wolfe , D. Franzi , B. Carl , N. Ferguson , B. Woronko , D. Chmielowska-Michalak , G. Pantoja , M. Schaarschmidt , O.B. Lian , A. Gontz , N. Gifford","doi":"10.1016/j.aeolia.2025.100992","DOIUrl":"10.1016/j.aeolia.2025.100992","url":null,"abstract":"<div><div>Well-preserved stabilized parabolic dunes occur in the Albany Pine Bush (APB), New York State, northeastern USA. This area was glaciated by the Laurentide Ice Sheet (LIS) and subsequently inundated by glacial Lake Albany until ∼ 13.0 ka. Glaciofluvial and glaciolacustrine deposits provided source sediments for dunes, which migrated towards the east-southeast. This integrated study addresses the morphology, grain mineralogy and micromorphology, stratigraphy, and chronology of a stabilized parabolic dune in the APB. The dune was active from 12.5–11.0 ka and was formed from locally-derived fluvial sediments that are slightly older (ca. 13.3–12.5 ka). The dune sands and underlying fluvial sediments are both texturally and mineralogically similar. Micromorphological analyses indicate that the dune quartz grains exhibit few characteristics typical of eolian transport, but inherently retain features of subaqueous origin. Consequently, both the distance and the duration of eolian transport during dune construction were very short. Dune stabilization coincided with the end of the Younger Dryas coeval with a forest transition from spruce (<em>Picea</em>) to pine-oak (<em>Pinus-Quercus</em>). The well-preserved morphology of dunes, and an absence of paleosols and stratigraphic truncations, all support dune stability throughout the Holocene, even with recurrent wildfire to which the local ecology has adapted.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 100992"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of secondary dune density in the hinterland of the Taklimakan Desert 塔克拉玛干沙漠腹地次生沙丘密度的估算

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-10-11 DOI: 10.1016/j.aeolia.2025.101003

Mingyu Wang , Huoqing Li , Yongqiang Liu

{"title":"Estimation of secondary dune density in the hinterland of the Taklimakan Desert","authors":"Mingyu Wang , Huoqing Li , Yongqiang Liu","doi":"10.1016/j.aeolia.2025.101003","DOIUrl":"10.1016/j.aeolia.2025.101003","url":null,"abstract":"<div><div>The secondary dune density is a crucial parameter for studying desert surface characteristics and monitoring the development of sand ridges. It provides an effective means to describe the distribution of regional secondary dunes. However, there is currently no effective method for estimating dune density, particularly for secondary dunes that are attached to large sand ridges, which are often overlooked due to their smaller scale. Therefore, this study presents a more effective method for estimating secondary dune density by utilizing Google Earth images and the YOLOv8s algorithm. This study utilizes Google Earth images from the hinterland of the Taklimakan Desert to construct a secondary dune identification dataset. Based on the dataset, we train and validate the secondary dune identification model to estimate secondary dune density. The research results indicate that the model achieved an average precision (AP50) of 63.58 % for secondary dune identification, outperforming other baseline algorithms. Furthermore, the dune identification model successfully identified a total of 18,208 secondary dunes within the verification area. The model demonstrated a higher predictive capability for secondary dune densities in the Taklimakan Desert hinterland, with a coefficient of determination (<em>R<sup>2</sup></em>) of 0.89 between estimated and observed values. The mean absolute error (<em>MAE</em>) was 20.94 km<sup>−2</sup>, and the root mean square error (<em>RMSE</em>) was 25.04 km<sup>−2</sup>. Crucially, the accuracy of the secondary density estimation is highly dependent on the precise delineation of dune outlines, crest lines, dune arcs, and ridge lines from the imagery. The method for estimating secondary dune density proposed in this study overcomes the limitations of existing research and provides new insights into the evolutionary processes of aeolian dunes.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101003"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Land cover, drought, and dust emission in arid Succulent Karoo shrublands 干旱多肉的卡鲁灌木地的土地覆盖、干旱和粉尘排放

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-14 DOI: 10.1016/j.aeolia.2025.101006

Heleen C. Vos , Johanna R. von Holdt , Helga van der Merwe , Igshaan Samuels , Ute Schmiedel , Norbert Jürgens , Juliane Krenz , Mmoto L. Masubelele , Bavisha Koovarjee , Wolfgang Fister , Frank D. Eckardt , Clement Cupido , Nikolaus J. Kuhn , Susanne Fietz

{"title":"Land cover, drought, and dust emission in arid Succulent Karoo shrublands","authors":"Heleen C. Vos , Johanna R. von Holdt , Helga van der Merwe , Igshaan Samuels , Ute Schmiedel , Norbert Jürgens , Juliane Krenz , Mmoto L. Masubelele , Bavisha Koovarjee , Wolfgang Fister , Frank D. Eckardt , Clement Cupido , Nikolaus J. Kuhn , Susanne Fietz","doi":"10.1016/j.aeolia.2025.101006","DOIUrl":"10.1016/j.aeolia.2025.101006","url":null,"abstract":"<div><div>Sand and dust storms are natural environmental processes that occur at various scales and they can have significant ecological and social impacts. Globally, patterns of aeolian activities are changing, and on South Africa’s west coast a marked increase in dust emission was observed during a prolonged drought lasting from 2015 to 2022. This region, dominated by Succulent Karoo shrublands, experienced a decline in vegetation cover and shifts in vegetation states due to the combined effects of drought, grazing, mining activities, and wind erosion.This review examines the transition in vegetation cover, the environmental and anthropogenic processes driving these changes, and their relationship to increased wind erosion and dust emission. Key influencing factors include rainfall variability, grazing intensity, and the degrading effects of wind erosion, shaped by broader forces such as climate change and land-use practices like mining and limited crop farming. To synthesise these dynamics, we present a conceptual State-and-Transition Model (STM) that captures vegetation responses in arid ecosystems and integrates the feedback between vegetation loss, wind erosion, and dust emission. This research furthermore summarises the broader consequences of dust events, including soil degradation, public health risks, and off-site effects on ocean chemistry and marine ecosystems. Understanding the drivers of vegetation change and the role of human and climatic pressures is crucial for anticipating future atmospheric dust loads and managing the resilience of arid landscapes.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101006"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Field measurement of glyphosate and AMPA in the deposited sediment on the central-semiarid region of Argentina 阿根廷中部半干旱区沉积沉积物中草甘膦和AMPA的野外测量

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-08-24 DOI: 10.1016/j.aeolia.2025.100999

F. Avecilla , J.E. Panebianco , L.A. de Oro , V.C. Aparicio , M.J. Mendez

{"title":"Field measurement of glyphosate and AMPA in the deposited sediment on the central-semiarid region of Argentina","authors":"F. Avecilla , J.E. Panebianco , L.A. de Oro , V.C. Aparicio , M.J. Mendez","doi":"10.1016/j.aeolia.2025.100999","DOIUrl":"10.1016/j.aeolia.2025.100999","url":null,"abstract":"<div><div>In the central semiarid region of Argentina (CSRA), agricultural soils coexist with remaining patches of native forest. Glyphosate is used on agricultural soils, but the presence of glyphosate and its main metabolite (aminomethylphosphonic acid, AMPA) in fallen dust have not been evaluated in the CSRA. The presence and concentration of glyphosate and AMPA were evaluated in the sediment collected in a forest patch (FR) and on a surrounding agricultural soil (AG) during 2021. Glyphosate and AMPA were detected in all samples of sediments on FR and AG. The concentration of glyphosate in the sediment ranged from 16.8 to 192.7 μg kg<sup>−1</sup> and the concentration of AMPA ranged from 31.9 to 210.3 μg kg<sup>−1</sup>. Sediment deposited on AG showed a higher concentration of glyphosate and AMPA than that deposited on FR. The highest concentrations of glyphosate and AMPA were found in the second semester of the year (spring and early summer), when glyphosate is used intensively for weed control and wind erosion risk is higher. Our results show that the sediment generated by wind erosion, rural traffic and tillage could be a route for glyphosate and AMPA to enter into ecosystems and areas where the herbicide is not used.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 100999"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dust emission forecasting using time series spatial data and machine learning algorithms 利用时间序列空间数据和机器学习算法进行粉尘排放预测

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-15 DOI: 10.1016/j.aeolia.2025.101011

Maryam Sanisales , Zahed Rahmati , Ali Darvishi Boloorani

{"title":"Dust emission forecasting using time series spatial data and machine learning algorithms","authors":"Maryam Sanisales , Zahed Rahmati , Ali Darvishi Boloorani","doi":"10.1016/j.aeolia.2025.101011","DOIUrl":"10.1016/j.aeolia.2025.101011","url":null,"abstract":"<div><div>The objective of our research is to use remote sensing, reanalyzed time series data, and a machine learning algorithm to forecast dust emissions from sources in the Tigris-Euphrates basin. This basin is one of the most significant global dust source areas and includes more than 10,000 dust hotspots of dust emission sources. To our knowledge, this is the first attempt to predict the emission of dust hotspots one year in advance. The methodology was developed based on an analysis of the spatiotemporal behavior of environmental parameters and the use of machine learning algorithm, including support vector machine, random forest, multinomial Naïve Bayes, and <span><math><mi>k</mi></math></span>-nearest neighbors. Additionally, the ensemble model Dempster–Shafer theory was used to merge the results from all machine learning algorithm to obtain dust source emission forecasting. Time series data were used to identify the primary dust drivers, including vegetation cover, precipitation, soil moisture, wind speed, temperature, soil texture, soil thickness, elevation, and slope. The location and temporal behavior (January 2000 to December 2020) of 10,422 dust events, obtained from a previous study conducted by the authors, along with data from January 2021 to December 2021, were utilized as the basis for the analysis. The training data set encompasses the period from January 2000 to December 2020, with January 2021 to December 2021 serving as the forecasting test data. The accuracy of the algorithms for prediction dust source emissions forecasting was evaluated using the AUC-ROC curve, with the random forest model achieving the highest performance of about 69%. Using the Dempster–Shafer model, we combined four machine learning models, and the accuracy reached about 73%, which improved the forecasting accuracy of dust emissions by 4.7%.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101011"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the chronology and development of Europe’s tallest aeolian landform: the Sarykum dune complex in the North Caspian region 关于欧洲最高的风成地貌的年代学和发展：北里海地区的Sarykum沙丘群

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-10 DOI: 10.1016/j.aeolia.2025.101007

Dmitry Zastrozhnov , Andrey Zastrozhnov , Sergei Medvedev , Idris Idrisov , Viktor Spiridonov , Dmitry V. Nazarov , Anna A. Cherezova

{"title":"On the chronology and development of Europe’s tallest aeolian landform: the Sarykum dune complex in the North Caspian region","authors":"Dmitry Zastrozhnov , Andrey Zastrozhnov , Sergei Medvedev , Idris Idrisov , Viktor Spiridonov , Dmitry V. Nazarov , Anna A. Cherezova","doi":"10.1016/j.aeolia.2025.101007","DOIUrl":"10.1016/j.aeolia.2025.101007","url":null,"abstract":"<div><div>The tallest aeolian landform in Europe (∼170 m above the base), the Sarykum dune complex, is located in the southwestern Caspian Depression near the Caucasus Mountains. Its morphology and evolution remain poorly studied. In this study we investigate the dune complex through a synthesis of geomorphological, geological, and geochronological methods. Our findings link its development to major regression phases of the Caspian Sea driven by climatic aridifications during the Late Pleistocene–Holocene. Optical stimulated luminescence dating indicates that dune formation began at least 60 ka during the Atelian regression, with reactivation around 11–6 ka during the Mangyshlakian regression. By the mid-Holocene, the complex had nearly reached its modern height. The Shura-Ozen’ River, which divides the dune complex in two major segments, played a significant role in the complex’s evolution, influencing aeolian sediment transport and trapping material on its banks, particularly on the left bank, where the highest Central Massif is located. Extensive vegetation now stabilizes most of the complex, except for active ridges in the Central Massif. A numerical analysis of wind potential for dune migration, based on recent meteorological data, shows that sand movement is primarily driven by self-sustaining NW–SE wind fluctuations. Paleowind analysis suggests that similar long-term wind patterns have persisted since the onset of aeolian deposition during the Atelian phase. Our study sheds new light on the Sarykum dune complex’s history and highlights its significance as a dynamic archive of climatic and geomorphic processes in the Caspian region.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101007"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying the impact of fire events on dust emission potential from partially vegetated dunes in the southwest Kalahari 量化火灾事件对喀拉哈里西南部部分植被沙丘粉尘排放潜力的影响

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-23 DOI: 10.1016/j.aeolia.2025.101012

Rosemary A. Huck , Giles F.S. Wiggs , David S.G. Thomas , Natasha S. Wallum

{"title":"Quantifying the impact of fire events on dust emission potential from partially vegetated dunes in the southwest Kalahari","authors":"Rosemary A. Huck , Giles F.S. Wiggs , David S.G. Thomas , Natasha S. Wallum","doi":"10.1016/j.aeolia.2025.101012","DOIUrl":"10.1016/j.aeolia.2025.101012","url":null,"abstract":"<div><div>The removal of stabilising vegetation from sand dunes by fire has been widely linked to increases in aeolian sediment transport and dune movement. However, substantial gaps exist in our knowledge of whether burned dunes in arid environments have the potential to emit dust. To explore relationships between fire and dust emission on partially vegetated sand dunes in the Namibian Kalahari Desert, 180 measurements of wind erosion threshold and dust flux were carried out using a portable wind tunnel (Portable In-Situ Wind Erosion Laboratory or PI-SWERL). Data were analysed to compare erosion thresholds and dust emission flux on adjacent burned and unburned sites. The data suggest that both burned and unburned dune crests, flanks, and interdunes have a low potential for dust emission. Whilst there was no significant difference in dust emission flux between burned and unburned control surfaces (Kruskal-Wallis, p > 0.05), there was evidence of significantly higher erosion thresholds on burned surfaces (T-test, p < 0.01). Where the surface had been disturbed, resulting in the removal of the typically present biological soil crusts (biocrust), our data suggest that dust emission fluxes are, on average, 8–13 times higher those of undisturbed surfaces. The analysis reveals that even when burned and devoid of vegetation, the Kalahari linear dune system is sediment-availability limited. This finding indicates the importance of ground surface characteristics, such as biocrusts, in preventing dust emission from the Kalahari dune field.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101012"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing the development of two regional dust storms on Mars using MRO-MCS and Perseverance observations 利用MRO-MCS和毅力号观测分析火星上两次区域性沙尘暴的发展

IF 3.4 3区地球科学

Aeolian Research Pub Date : 2025-12-01 Epub Date: 2025-11-20 DOI: 10.1016/j.aeolia.2025.101010

Anirban Mandal, Jagabandhu Panda

{"title":"Analyzing the development of two regional dust storms on Mars using MRO-MCS and Perseverance observations","authors":"Anirban Mandal, Jagabandhu Panda","doi":"10.1016/j.aeolia.2025.101010","DOIUrl":"10.1016/j.aeolia.2025.101010","url":null,"abstract":"<div><div>Dust storms on Mars are important weather phenomena that are intricately linked to the dynamics and thermodynamics of the atmosphere. This study utilized the observations from Mars Climate Sounder (MCS) instrument onboard the Mars Reconnaissance Orbiter (MRO) and Mars Environmental Dynamics Analyzer (MEDA) onboard the Perseverance rover, to analyze the growth and development of two regional dust storms occurred in the Martian Year (MY) 36. The said dust storms were observed around L<sub>S</sub> = 153°–156° (RDS-A) and 310°–330° (RDS-B). MCS observations realized unstable layers in the latitude range 40°S–90°N for RDS-A, and 90°S–40°N for RDS-B, mostly up to 25 km altitude. During the storms’ extension phase, a stable layer with a bridge-like structure forms at 40–60 km for RDS-A and 20–40 km for RDS-B. The mixing ratio values indicated higher availability of dust particles at 30–50 km in 40°S–40°N region for RDS-A and at 25–60 km in 90°S-40°N region for RDS-B. MEDA observations displayed a decrease in daytime ground and air temperature, but an increase during the night. The overall pressure increased during the storm, but the minimum pressure was found to decrease. Pressure variation exhibited the diurnal behavior to the presence of four components. The detection of higher number of vortices during the storms indicated the possibility of the contribution of storm-induced turbulence. The current study provided some insights on the intricate dust-lifting mechanisms, advancing the understanding of the Martian atmosphere.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"74 ","pages":"Article 101010"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0