Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals

Li, Yuxiao; Yi, Bingqi; Min, Min

doi:10.1016/j.atmosenv.2022.119065

Cited by 9 publications

(4 citation statements)

References 71 publications

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“…In addition, we also found that the diurnal variation was characterized by greater COT values in the morning and afternoon. One reason for this may have been the lower temperatures in the morning and the strong radiation cooling in the afternoon which promote the condensation of water vapor to form clouds when the water vapor in the air exceeds the saturation state [50][51][52][53].…”

Section: Discussionmentioning

confidence: 99%

Regional Characteristics of Cloud Properties over the Loess Plateau

et al. 2023

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As an important meteorological element, clouds play an important role in the radiative transfer process and atmospheric and water circulation. The Loess Plateau is the largest arid and semi-arid area in China, with a fragile ecological environment. However, few scholars have studied the spatial and temporal variations in cloud properties in the Loess Plateau. Therefore, in this study, cloud properties in the Loess Plateau were analyzed at the annual, seasonal, and diurnal scales based on Himawari-8 cloud products. The results show that cloud frequency (CF), cloud optical thickness (COT) and cloud effective radius (CER) show obvious spatial discrepancies in the Loess Plateau. Regions with high CF and COT values are mainly concentrated in the southern part of the Loess Plateau. In general, areas with high CER values also have low COT values. The highest CF values are observed in summer, and the highest COT values mainly appear in autumn. However, the highest CER values mainly appear in spring and winter. In terms of the diurnal variation, the CF is high at midday and low in the morning and afternoon, while the diurnal variation in COT values is the opposite: there are high COT values in the morning and afternoon and low values at midday. The CER values show an increasing trend from morning to afternoon and reach a maximum at 17:00 BJT. High CF values in the southern Loess Plateau and in summer relate to surface water and heat conditions; the vegetation cover, total column water vapor and temperature values are relatively high in this area. High COT values in the southern Loess Plateau are associated with sufficient water vapor levels and high levels of aerosol optical thickness. However, high CER levels in the northern Loess Plateau and in spring and winter may be caused by a higher nucleation rate related to the colder temperature. Moreover, more factors could influence CER, i.e., water vapor and aerosols, but they show complex relationships with the CER which need further explored.

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Section: Discussionmentioning

confidence: 99%

Regional Characteristics of Cloud Properties over the Loess Plateau

et al. 2023

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“…We analyzed 7 years of data from June 2015 to June 2022 (over 22,000 fulldisk images). To prevent potential artifacts at the edges of the EPIC images during sunrise and sunset, we focused exclusively on pixels with local times ranging from early morning (8:00) to late afternoon (16:00 for liquid, 15:00 for ice) and containing sufficient amounts of data to provide robust statistics (Li et al, 2022;Delgado-Bonal et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…Although there is increasing literature on the diurnal variations of clouds (Chen et al, 2018;Yang et al, 2020), these reports mostly focus on the cloud fraction (Cairns, 1995;Burleyson et al, 2013;Burleyson and Yuter, 2015). We have previously studied cloud fraction as well as cloud height diurnal variations based on EPIC data and now focus on the COT, which has not been investigated much (Li et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Global cloud optical depth daily variability based on DSCOVR/ EPIC observations

Delgado-Bonal,

Marshak,

Yang

et al. 2024

Front. Remote Sens.

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When investigating the potential effects of cloud changes on climate, the interday and intraday variabilities should be distinguished. Historically, studies have focused on the long-term cloud changes, and the intraday cycles of cloud properties have been mostly ignored partly owing to the limited availability of global datasets to study higher frequency variabilities. In this regard, DSCOVR’s vantage point at the Lagrange L1 point overcomes the temporal limitations of polar orbiters as well as the limited spatial views of geostationary satellites, allowing characterization of the daytime variability of cloud properties using a single sensor. In previous analyses, we used DSCOVR’s EPIC instrument to characterize the diurnal cycles of cloud height and cloud fraction; here, we expand on previous studies to additionally investigate the variability of cloud optical thickness. We observe a recurring diurnal pattern of cloud optical thicknesses for different latitudinal zones that reaches a maximum around noon regardless of the underlying surface. Once we separate the clouds based on their optical thickness into optically thin (0–3), intermediate (3–10), and thick (10–25), we find that these cloud classes follow different optical thickness diurnal cycles on the global scale. We further explore these differences by combining the evolution of cloud fraction and optical thickness of each group to obtain the diurnal evolution of cloud-fraction-weighted optical depths.

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“…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. Li et al (2022) pointed that the largest diurnal variations of cloud effective radius (Re) and cloud optical thickness (τ) occur over the TP and the Southeastern TP usually has larger τ and smaller Re.…”

Section: Introductionmentioning

confidence: 99%

Cloud characteristics over the Yunnan–Guizhou plateau as observed by MODIS and Himawari‐8

Yu,

Zhuge,

Yuan

et al. 2023

Intl Journal of Climatology

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Cloud descriptions and parameterizations are major sources of uncertainty in weather and climate modelling studies. In this study, we investigated the cloud properties over the Yunnan–Guizhou Plateau (YGP) by using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Himawari‐8 (H8_Japan and H8_Zhuge) cloud datasets. Corresponding to their distinct terrain features, the cloud climate patterns on the western and eastern sides of the YGP are different. Our results show that the spatial patterns of the cloud parameters in all three datasets are very similar over the YGP, especially the cloud cover and cloud effective radius. The high cloud frequency region is located to the east of Yunnan–Guizhou quasi‐stationary front in cold season, and the largest gradient is along front. On frontal days, the regional differences in the cloud properties over the YGP are much more obvious, with the cloud cover across the front increasing from ~20%–35% on its western side to more than 95% on its eastern side. Furthermore, higher thin clouds with larger cloud effective radius typically exist on the western side of the front, while lower thick clouds with smaller particles appear on its eastern side. This study enhances our understanding how cloud characteristics impact by the frontal system and provide a valuable insight for the design and improvement of cloud microphysics parameters in weather forecast models over the YGP region.

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Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals

Cited by 9 publications

References 71 publications

Regional Characteristics of Cloud Properties over the Loess Plateau

Regional Characteristics of Cloud Properties over the Loess Plateau

Global cloud optical depth daily variability based on DSCOVR/ EPIC observations

Cloud characteristics over the Yunnan–Guizhou plateau as observed by MODIS and Himawari‐8

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