2022
DOI: 10.1029/2022jd036525
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Seasonal and Semi‐Diurnal Variations in Cloud‐Phase Characteristics Over the Southern Himalayas and Adjacent Regions as Observed by the Himawari‐8 Satellite

Abstract: Investigated in this study are the seasonal and semi‐diurnal variations of the cloud‐phase climatology over the southern Himalayas and adjacent regions by using 5 years of Himawari‐8 cloud‐product data (2016–2020). The four selected regions from south to north are the Gangetic Plains (I), Himalayan foothills (II), southern slope of the Himalayas (III), and the Himalayan–Tibetan Plateau region (IV), respectively. Results showed that the cloud frequency of cloud gradually increases from region I via II to III, t… Show more

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Cited by 2 publications
(2 citation statements)
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“…To cover as many observation samples as possible, all three daytime datasets in warm and cold season were used in this study. Because the H8 has a better view over southwestern China during 0210 UTC (Shang et al, 2018; Yu et al, 2022), the hourly data of clouds in both the H8_Japan and H8_Zhuge cloud products were used to examine the cloud characteristics over the YGP and its surrounding area in this period. As members of the A‐Train constellation, MODIS passes over the YGP region at approximately 0630 UTC in the daytime.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To cover as many observation samples as possible, all three daytime datasets in warm and cold season were used in this study. Because the H8 has a better view over southwestern China during 0210 UTC (Shang et al, 2018; Yu et al, 2022), the hourly data of clouds in both the H8_Japan and H8_Zhuge cloud products were used to examine the cloud characteristics over the YGP and its surrounding area in this period. As members of the A‐Train constellation, MODIS passes over the YGP region at approximately 0630 UTC in the daytime.…”
Section: Methodsmentioning
confidence: 99%
“…As polar‐orbiting satellite‐based sensor (e.g., Moderate Resolution Imaging Spectroradiometer [MODIS]) cloud products have been widely used to study the distribution of cloud cover, cloud‐top heights and optical thickness (King et al, 2013; Marchand et al, 2010), for example, the cloud cover over the Mongolian Plateau is higher in summer and the spatial distribution of high/middle/low clouds are obviously variable (Bao et al, 2018); and the largest cloud cover difference between afternoon and morning is found over the Tibetan Plateau (TP) (Zhao et al, 2019). The cloud products obtained from the geostationary satellite Himawari‐8 (H8) can be used to analyse the continuous changes in cloud properties over a target area (Shang et al, 2018; Yang et al, 2022; Yu et al, 2022; Zhao et al, 2023; Zhuge et al, 2021). Yang et al (2020) used the H8 cloud data to investigate the cloud properties over the four study regions in China; they found both cloud cover and cloud types show clear seasonal and diurnal variation over the TP.…”
Section: Introductionmentioning
confidence: 99%