Analysis of the Influence of Clear-Sky Fluxes on the Cloud-Type Mean Cloud Radiative Effects in the Tropical Convectively Active Regions With CERES Satellite Data

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2024-11-20 DOI:10.1029/2024JD041525
Kuan-Man Xu, Moguo Sun, Yaping Zhou
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Abstract

Cloud radiative effects (CREs) and cloud-type mean CREs depend upon how clear-sky fluxes are computed over a large area: those of the immediate environment of clouds or the regional mean clear-sky fluxes. Five convectively active regions in the Tropics, two over land (Africa and Amazon) and three over ocean (eastern and western Pacific and Atlantic), are selected to understand the influence of immediate environment of clouds on CREs. Fluxes derived from 19 years of high-resolution CERES satellite data, categorized by cloud type, are utilized. The cloud types are classified based on the joint cloud top pressure and cloud optical depth distribution. For the entire tropical region, differences in cloud-type mean CRE with regional mean and immediate environment clear skies range from −7.8 to 10.7 Wm−2 for shortwave (SW), 2.9 to 15.8 Wm−2 for longwave (LW), and 6.1 to 17.9 Wm−2 for net, respectively. The oceanic and Amazonia regions have negative (positive) SW (LW) CRE differences, typically 2–6 Wm−2 in SW but 7–10 Wm−2 in LW, whereas Africa has positive SW and LW CRE differences (typically 20–30 Wm−2, up to 40–50 Wm−2). The influence of immediate environment reduces the regionally averaged, that is, cloud-type mean CREs weighted by cloud fractions, SW cloud cooling, and LW cloud warming in four of the five regions except for Africa. For Africa, it increases the SW cloud cooling and greatly reduces the LW cloud warming, resulting in net cloud cooling as in other regions instead of warming. The implications of these findings for observational and modeling studies are discussed.

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利用 CERES 卫星数据分析晴空通量对热带对流活跃区云型平均云辐射效应的影响
云辐射效应(CRE)和云类型平均 CRE 取决于如何计算大面积的晴空通量:云的直接环境通量或区域平均晴空通量。为了了解云的直接环境对 CREs 的影响,我们选择了热带地区对流活跃的五个区域,其中两个在陆地上(非洲和亚马逊),三个在海洋上(东、西太平洋和大西洋)。通量来自 19 年的高分辨率 CERES 卫星数据,按云类型分类。云类型是根据云顶气压和云光学深度的联合分布来划分的。在整个热带地区,云类型平均 CRE 与区域平均值和直接环境晴天的差异分别为:短波(SW)-7.8 至 10.7 Wm-2,长波(LW)2.9 至 15.8 Wm-2,净空 6.1 至 17.9 Wm-2。大洋和亚马孙地区的西南(长波)CRE 差异为负(正),通常西南为 2-6 Wm-2,长波为 7-10 Wm-2,而非洲的西南和长波 CRE 差异为正(通常为 20-30 Wm-2,最高可达 40-50 Wm-2)。受直接环境影响,除非洲外,五个地区中有四个地区的区域平均 CRE(即按云分数加权的云类型平均 CRE)、西南云降温和左岸云升温都有所降低。就非洲而言,它增加了西南云的降温,大大减少了左岸云的升温,导致与其他地区一样出现净云降温而非升温。讨论了这些发现对观测和建模研究的影响。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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Analysis of the Influence of Clear-Sky Fluxes on the Cloud-Type Mean Cloud Radiative Effects in the Tropical Convectively Active Regions With CERES Satellite Data A Simple Model for the Evaporation of Hydrometeors and Their Isotopes Modeling the Effects of Vegetation and Snow on Dust Storm Over the Gobi Desert Origins of Extreme CAPE Around the World A More Transparent Infrared Window
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