西印度地区一次沙尘暴期间大气云和边界层动力学的研究

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Dharmendra Kumar Kamat , Som Kumar Sharma , Prashant Kumar , Kondapalli Niranjan Kumar , Aniket , Sourita Saha , Hassan Bencherif
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引用次数: 0

摘要

本文研究了2024年5月13日季风前印度西部艾哈迈达巴德(23.02°N, 72.57°E)地区突然沙尘暴引起的大气云和边界层动力学。这场风暴是由源自古吉拉特邦西南部和拉贾斯坦邦东南部的对流系统的外流气流引发的,加上艾哈迈达巴德上空热低压核的显著加深,产生了强烈的近地面风并引发了沙尘暴。这些系统和沙尘暴是由INSAT-3D卫星和NASA的Aqua和Terra卫星上的MODIS仪器捕捉到的。地面Ceilometer激光雷达后向散射剖面显示,在风暴期间,混合层高度(MLH)从~ 2.5 km突然变化到约250 m,这是由于强沙尘负荷对信号的衰减。5月12日(前一天)的MLH为~ 2 km, 5月14日(沙尘暴后日)变浅至~ 800 m,后向散射增加表明粉尘浓度高。在沙尘暴期间,垂直能见度降至340-660米。风暴期间,由于锋面系统沿密度流路径输送水汽,近地面相对湿度由29%上升至48%,近地面风速在6 ~ 10 m/s左右达到峰值。风暴过后,形成了垂直范围约11公里的深层对流云,导致大约19毫米的降雨量,其中近15毫米的降雨量在短短1小时内下降,这表明了尘云相互作用。本研究强调了湿对流和随后的沙尘暴对云和边界层动力学的影响,强调了地面仪器、卫星和再分析数据集在大气监测中的重要性。了解沙尘暴的原因、机制和后果对于减轻其影响和适应可能影响其频率和强度的气候模式变化至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of atmospheric clouds and boundary layer dynamics during a dust storm in the Western-Indian region
This study investigates the dynamics of atmospheric clouds and boundary layer due to a sudden dust storm over Ahmedabad (23.02° N, 72.57° E), a Western-Indian region, during the pre-monsoon season on May 13, 2024. The storm was triggered by the outflow from convective systems originating in southwest Gujarat and southeast Rajasthan, combined with the significant deepening of the thermal low core over Ahmedabad, which generated strong near-surface winds and initiated the dust storm. These systems and the dust storm were captured by the INSAT-3D satellite and MODIS instrument on NASA's Aqua and Terra satellites. The ground-based Ceilometer Lidar backscatter profile showed an abrupt change in the mixed layer height (MLH) from ∼2.5 km to about 250 m during the storm due to attenuation of the signal by heavy dust load. The MLH, ∼2 km on 12 May (previous day), shallowed to ∼800 m on 14 May (post dust storm day), with increased backscatter indicating high dust concentration. Vertical visibility dropped to 340–660 m during the dust storm. During the storm, relative humidity near the surface increased from 29% to 48% due to moisture transport by frontal system along the density current pathway, while near-surface wind speeds peaked at around 6–10 m/s. After the storm, deep convective clouds formed with a vertical extent of ∼11 km, resulting in approximately 19 mm of rainfall with nearly 15 mm falling within just 1 h indicating the dust-cloud interaction. This study highlights the impact of moist convection and subsequent dust storm on clouds and boundary layer dynamics, emphasizing the importance of ground-based instruments, satellites, and reanalysis datasets in atmospheric monitoring. Understanding the causes, mechanisms, and consequences of dust storms is critical for mitigating their effects and adapting to the changing climate patterns that may influence their frequency and intensity.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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