当前位置: X-MOL 学术Adv. Meteorol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Identifying the Moisture Sources in Different Seasons for Abaya-Chamo Basin of Southern Ethiopia Using Lagrangian Particle Dispersion Model
Advances in Meteorology ( IF 2.9 ) Pub Date : 2024-1-9 , DOI: 10.1155/2024/4421766
Israel Gebresilasie Kimo 1 , Bisrat Elias Cholo 1 , Tarun Kumar Lohani 2
Affiliation  

Understanding the sources of precipitation and their impacts is crucial for basin-wide water balance research. Previous research concentrated on the sources of moisture in Ethiopia. The southern part’s moisture sources, however, were not investigated. The primary objective of this study is to trace the source of atmospheric moisture in the Abaya-Chamo sub-basin of southern Ethiopia using numerical water vapor tracers like Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Exploring the possible regions of atmospheric vapor roots and the path of moist air initiating rainfall that reaches the basin was feasible for the year 2018–2020. The anticyclone from the Arabian High, which is positioned in the Arabian and Mediterranean seas, was the primary source of moisture supply in the study area during the Belg (March to May) season, according to the back trajectory cluster analysis results. Additionally, the Indian Ocean adds moisture resulting from Mascarene highs brought by equatorial easterlies. Furthermore, during Kiremt (June to September), air masses from the Congo basin were the potential moisture source region for the study areas in combination with air masses originating from the Mascarene highs, located in the South Indian Ocean, and the St. Helena high, centered in the subtropical southern Atlantic Ocean. This study primarily focuses on the complex dynamics of atmospheric moisture sources around Abaya-Chamo sub-basin of southern Ethiopia, offering insight into seasonal fluctuations and contributing various components. These findings contribute to basin-specific water balance research by filling gaps in the previous studies.

中文翻译:

利用拉格朗日粒子弥散模型识别埃塞俄比亚南部阿巴亚-查莫盆地不同季节的水分来源

了解降水来源及其影响对于全流域水平衡研究至关重要。先前的研究集中在埃塞俄比亚的水分来源。然而,南部地区的水分来源并未受到调查。本研究的主要目的是使用混合单粒子拉格朗日积分轨迹 (HYSPLIT) 模型等数值水蒸气示踪剂追踪埃塞俄比亚南部阿巴亚-查莫次盆地的大气水分来源。探索大气蒸汽根的可能区域以及潮湿空气引发降雨到达盆地的路径在 2018-2020 年是可行的。根据反轨迹聚类分析结果,位于阿拉伯海和地中海的阿拉伯高压反气旋是贝尔格(3月至5月)季节研究区水分供应的主要来源。此外,印度洋还增加了赤道东风带来的马斯克林高压带来的水分。此外,在 Kiremt 期间(6 月至 9 月),来自刚果盆地的气团与源自南印度洋马斯克林高压和圣赫勒拿高压的气团一起成为研究区的潜在水汽来源区域。 ,以副热带南大西洋为中心。这项研究主要关注埃塞俄比亚南部阿巴亚-查莫次盆地周围大气水分源的复杂动态,深入了解季节性波动并贡献各种成分。这些发现填补了先前研究的空白,有助于特定流域的水平衡研究。
更新日期:2024-01-09
down
wechat
bug