热带气旋不同登陆阶段降雨强度的气候学:以登陆后降雨为重点

IF 2.6 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Applied Meteorology and Climatology Pub Date : 2023-07-01 DOI:10.1175/jamc-d-22-0055.1
Oscar Guzman, Haiyan Jiang
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引用次数: 0

摘要

估计热带气旋在不同登陆阶段的降雨强度是热带气旋预报的一个重要方面,它直接影响到应急管理人员的响应水平。在这项研究中,在全球尺度上呈现了TC降雨强度作为TC中心在距离海岸的距离间隔内的位置和陆地上降雨面积百分比的函数的气候学。利用卫星信息分析了2000年至2019年期间的1834个TCs,以表征拟登陆类别内的降水强度、体积雨量、降雨面积和轴对称特性,并重点研究了登陆后阶段。我们发现,当超过50%的降雨面积在水面上时,tc在靠近海岸的地区降雨量最大。还分析了整个温带地区和陆地上部分的温带降雨。考虑总范围时,降雨强度、体积雨量和降雨面积随风速强度增大而增大。然而,一旦仅在陆地上量化,我们发现降雨强度与TC降雨面积的增加呈近乎完美的反比关系。此外,当具有大飓风生命最高强度的TC以热带低气压或热带风暴的形式登陆时,通常会产生最大的空间范围和最高的降雨量。本研究旨在通过一种新的方法来描述热带气旋(TC)降水强度的周期,该方法将登陆类别定义为陆地和海洋上TC降水面积百分比的函数,以及TC中心在距离海岸的距离间隔内的位置。我们的中心假设是,在每个阶段的长期卫星时间序列中,TC降雨应该表现出明显的特征。我们特别关注陆地事件,因为它们对人类活动的影响,发现在其生命周期的某个时刻达到飓风强度并以热带风暴或热带低气压登陆的tc在陆地表面产生了最高的降雨量。本研究还提供了降雨率、降雨面积和登陆tc的体积雨之间关系的关键观测证据。
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Climatology of Tropical Cyclone Rainfall Magnitude at Different Landfalling Stages: An Emphasis on After-Landfall Rain
Estimating the magnitude of tropical cyclone (TC) rainfall at different landfalling stages is an important aspect of the TC forecast that directly affects the level of response from emergency managers. In this study, a climatology of the TC rainfall magnitude as a function of the location of the TC centers within distance intervals from the coast and the percentage of the raining area over the land is presented on a global scale. A total of 1834 TCs in the period from 2000 until 2019 are analyzed using satellite information to characterize the precipitation magnitude, volumetric rain, rainfall area, and axial-symmetric properties within the proposed landfalling categories, with an emphasis on the postlandfall stages. We found that TCs experience rainfall maxima in regions adjacent to the coast when more than 50% of their rainfall area is over the water. TC rainfall is also analyzed over the entire TC extent and the portion over land. When the total extent is considered, rainfall intensity, volumetric rain, and rainfall area increase with wind speed intensity. However, once it is quantified over the land only, we found that rainfall intensity exhibits a nearly perfect inversely proportional relation with the increase in TC rainfall area. In addition, when a TC with life maximum intensity of a major hurricane makes landfall as a tropical depression or tropical storm, it usually produces the largest spatial extent and the highest volumetric rain. This study aims to describe the cycle of tropical cyclone (TC) precipitation magnitude through a new approach that defines the landfall categories as a function of the percentage of the TC precipitating area over the land and ocean, along with the location of the TC centers within distance intervals from the coast. Our central hypothesis is that TC rainfall should exhibit distinct features in the long-term satellite time series for each of the proposed stages. We particularly focused on the overland events due to their effects on human activities, finding that the TCs that at some point of their life cycle reached major hurricane strength and made landfall as a tropical storm or tropical depression produced the highest volumetric rain over the land surface. This research also presents key observational evidence of the relationship between the rain rate, raining area, and volumetric rain for landfalling TCs.
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来源期刊
Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology 地学-气象与大气科学
CiteScore
5.10
自引率
6.70%
发文量
97
审稿时长
3 months
期刊介绍: The Journal of Applied Meteorology and Climatology (JAMC) (ISSN: 1558-8424; eISSN: 1558-8432) publishes applied research on meteorology and climatology. Examples of meteorological research include topics such as weather modification, satellite meteorology, radar meteorology, boundary layer processes, physical meteorology, air pollution meteorology (including dispersion and chemical processes), agricultural and forest meteorology, mountain meteorology, and applied meteorological numerical models. Examples of climatological research include the use of climate information in impact assessments, dynamical and statistical downscaling, seasonal climate forecast applications and verification, climate risk and vulnerability, development of climate monitoring tools, and urban and local climates.
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