利用高海拔寒冷沙漠地区Leh-Ladakh上空的ceilometer观测到的多层云特征

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Ruchita Shah , Som Sharma , Dharmendra Kamat , Kondapalli Niranjan Kumar , Prashant Kumar , Shantikumar S. Ningombam , Dorje Angchuk , Rohit Srivastava
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引用次数: 0

摘要

列拉达克地区是一个高海拔寒冷的沙漠(平均海拔3255米),位于喜马拉雅山的雨影下,显示出各种云特征,对了解极端天气条件至关重要。全球降水卫星测绘(GSMaP)参数有助于显示在过去23年的季风季节,近37%的降雨发生在Leh-Ladakh地区(7-38°N, 62-100°E)。低降雨虽然面临极端降雨事件,但需要对云量进行连续监测。在本研究中,在2022年9月至2023年8月期间,利用Ceilometer激光雷达测量,辅以中分辨率成像光谱仪(MODIS),欧洲中期天气预报中心(ECMWF)再分析v5 (ERA5),研究了云底高度(CBH)的变化。我们的比较结果表明,Ceilometer的CBH测量值与MODIS计算的CBH一致,而ERA5的CBH被低估了。此外,Ceilometer测量的多层云由三个不同的层组成。这些云的逐日季节性变化显示季风前(67.94%)和季风(98%)的出现频率最高,清楚地反映了印度夏季风的开始和活跃阶段。7月的云层出现频率最高(84.03%),由单层云(15.92%)、双层云(25.98%)和三层云(42.13%)组成。我们的研究推断,在冬季、季风前、季风和季风后季节,中层云(~ 3-6 km; 77.53%)的比例很高。因此,高层云、高积云、云层云或所有这些都在所有季节中特别突出,它们的变化与地形和气候因素有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of multi-layer clouds observed using ceilometer observations over Leh-Ladakh: A high-altitude cold desert region
The Leh-Ladakh region is a high-altitude cold desert (3255 m above mean sea level), located under the rain shadow of the Himalayas, display various cloud features crucial to understand the extreme weather conditions. Global Satellite Mapping of Precipitation (GSMaP) parameter helped to show that almost 37 % of rain falls over Leh-Ladakh region (7–38°N, 62–100°E) during last 23 years of monsoon season. Low rainfall though facing extreme rainfall events, need a continuous monitoring of cloud measurements. In the present study, cloud base height (CBH) variability is investigated using Ceilometer Lidar measurements, complemented by Moderate Resolution Imaging Spectroradiometer (MODIS), European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) during September 2022–August 2023. Our comparative findings suggested that Ceilometer's CBH measurements aligned with calculated MODIS CBH, whereas ERA5 CBH gets underestimate. Further, Ceilometer measurements of multi-layer clouds, consist of three distinct layers. These day-to-day seasonal variations in clouds show highest occurrence frequencies during the pre-monsoon (67.94 %) and monsoon (98 %), clearly reflects the onset and active phases of the Indian summer monsoon. Further, July recorded with the highest cloud occurrence frequency (84.03 %), consisting of single-layer (15.92 %), double-layer (25.98 %) and triple-layer (42.13 %) clouds. Our study inferred a high fraction of mid-level (∼3–6 km; 77.53 %) clouds during winter, pre-monsoon, monsoon, and post-monsoon seasons. Thus, altostratus, altocumulus, nimbostratus, or altogether were particularly prominent across all the seasons, with their variability linked to orographic and climatic factors.
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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