Comparison of cloud top heights derived from FY-2 meteorological satellites with heights derived from ground-based millimeter wavelength cloud radar

Wang, Zhe; Cao, Xiaozhong; Fa, Tao

doi:10.1016/j.atmosres.2017.09.009

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…To further prove these results, we also plot the CTTs derived from FY‐2G satellite, which is one of the third group of China's first geostationary meteorological satellites. The cloud‐top heights derived from the FY‐2G measured CTTs have been compared with ground‐based Ka‐band Doppler cloud radar observations with a relatively good agreement (Z. Wang, Wang, et al, 2018). The CTTs could be used to indicate the developing state of convection activity (Seela et al, 2017) where the median CTT in Nanjing (red box in Figure 10) is lower than that in Hubei.…”

Section: Statistical Results Of Dsd Characteristics During the 2016–2...mentioning

confidence: 92%

Statistical Characteristics of Raindrop Size Distributions and Parameters in Central China During the Meiyu Seasons

Dong

Zhou

et al. 2020

JGR Atmospheres

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The rain parameters derived from the laser OTT second-generation Particle Size Velocity (Parsivel 2), the two-dimensional video disdrometer (2DVD), and DZZ5 tipping-bucket rain gauge (RG) during the Integrative Monsoon Frontal Rainfall Experiment (IMFRE) in summer 2018 are compared. The total rainfall amounts observed by Parsivel, 2DVD, and RG during IMFRE were 178.07, 176.76, and 182.5 mm, while their total rainy hours were 113, 113, and 90. The mean D m (mass-weighted mean diameter) and LWC (liquid water content) values derived from Parsivel and 2DVD were 1.03 and 1.01 mm and 0.247 and 0.223 g m −3. The rainy samples from six Parsivel sites over the middle reaches of the Yangtze River during the 2016-2018 Meiyu seasons have been collected and analyzed. The occurrence frequencies for rain rates (RR) < 5 and >10 mm hr −1 were 83.9% and 7.4%, respectively, but they contributed 30.5% and 52.1% of the total accumulated rainfall. Compared with the results over the lower reaches of the Yangtze River, the total accumulated rainfall percentages for RR < 5 mm hr −1 and RR > 10 mm hr −1 observed at XN site were higher and lower, respectively. The stratiform rain (SR) raindrop size increases with RR over both the middle and lower reaches, whereas the N w values over the middle reaches are much higher. Opposite to the SR results, the convective rain (CR) raindrops from this study are larger, while their N w values are similar to one another. For gamma-type-size distribution, the μ − λ and Z − R relations are strongly dependent on geographical location.

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Section: Statistical Results Of Dsd Characteristics During the 2016–2...mentioning

confidence: 92%

Statistical Characteristics of Raindrop Size Distributions and Parameters in Central China During the Meiyu Seasons

Dong

Zhou

et al. 2020

JGR Atmospheres

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“…A radiosonde is usually used to obtain in-situ measurements of temperature, relative humidity, wind, and pressure profiles. These measurements can be utilized to estimate the cloud base height, cloud top height, cloud layer number, and cloud thickness as balloons penetrate the cloud layers [8][9][10][11]. Nevertheless, the number of radiosonde stations is relatively limited, and a radiosonde cannot provide the specific parameters of hydrometeors [12,13].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Warm Clouds and Precipitation in South China during the Pre-Flood Season Using Datasets from a Cloud Radar, a Ceilometer, and a Disdrometer

et al. 2019

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The millimeter-wave cloud radar, ceilometer, and disdrometer have been widely used to observe clouds and precipitation. However, there are some drawbacks when those three instruments are solely employed due to their own limitations, such as the fact that radars usually suffer from signal attenuation and ceilometers/disdrometers cannot provide measurements of the hydrometeors of aloft clouds and precipitation. Thus, in this paper, we developed an integrated technology by combining and utilizing the advantages of three instruments together to investigate the vertical structure and diurnal variation of warm clouds and precipitation, and the raindrop size distribution. Specifically, the technology consists of appropriate data processing, quality control, and retrieval methods. It was implemented to study the warm clouds and precipitation in South China during the pre-flood season of 2016. The results showed that the hydrometeors of warm clouds and precipitation were mainly distributed below 2.5 km and most of the rainfall events were very light with a rain rate less than 1 mm h−1, however, the stronger precipitation primarily contributed the accumulated rain amount. Furthermore, a rising trend of cloud base height from 1000 to 1900 BJT was found. The cloud top height and cloud thickness gradually increased from 1200 BJT to reach a maximum at 1600 BJT (Beijing Standard Time, UTC+8), and then decreased until 2000 BJT. Also, three periods of the apparent rainfall on the ground of the day, namely, 0400–0700 BJT, 1400–1800 BJT, and 2300–2400 BJT were observed. During three periods, the raindrops had wider size spectra, higher number concentrations, larger rain rates, and higher water contents than at other times. The hydrometeor type, size, and concentration were gradually changed in the vertical orientation. The raindrop size distributions of warm precipitation in the air and on the ground were different, which can be expressed by γ distributions N(D) = 1.49 × 104D−0.9484exp(−6.79D) in the air and N(D) = 1.875 × 103D0.862exp(−2.444D) on the ground, where D and N(D) denote the diameter and number concentration of the raindrops, respectively.

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“…In the past, many researchers have studied the macro-and microphysical properties of rainfall clouds and non-rainfall clouds, and the conclusions of these studies help to understand clouds and precipitation. However, previous studies have mainly focused on areas with abundant rainfall (Zhang et al 2019b;Luo et al 2009;Yi 2013;Liu et al 2015;Ma et al 2018;Cui et al 2020;Yue et al 2020;Wang et al 2018;Huo et al 2020a, b;Wu et al 2020) and there have been few studies on arid areas instead. In recent years, an increasing number of studies on precipitation and non-precipitation cloud macro-and microphysical properties have been carried out in the arid regions of China, especially in the Qinghai-Tibet Plateau (Yi 2019;Liu et al 2021;Ma et al 2018;Qiu et al 2018;Zhao et al 2016Zhao et al , 2017, but less research has been carried out in Xinjiang.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Macro- and microphysical characteristics of snowfall and non-snowfall clouds in the West Tianshan Mountains of China based on cloud radar

Zhang

Zeng

et al. 2022

Meteorol Atmos Phys

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The macro- and microphysical characteristics of wintertime precipitating clouds and non-precipitating clouds over the West Tianshan Mountains, China, were analyzed with the use of Ka-band radar and weighing rain gauge observations. The data were collected from January to February 2019, December 2019, and from December 2020 to February 2021. Snowfall clouds mainly ranged from 0.15 ~ 2.50 km and had a reflectivity (Z) of mostly 10 ~ 33 dBZ. Non-snowfall clouds were primarily distributed within the height range of 2 ~ 8 km, and the Z values were within the range of − 22 ~ 15 dBZ. Compared with non-snowfall clouds, snowfall clouds have a higher particle water content (M) but a similar radial velocity (V). Light and moderate snowfall clouds were mainly located at heights of 0.15 ~ 3.50 km and had Z values concentrated from 5 ~ 24 dBZ. Heavy snowfall clouds were characterized by a Z of 5 ~ 30 dBZ below 3.5 km. The proportion of clouds with an M value > 0.1 g·m−3 below 2 km was noticeably higher for heavy snow events than for light and moderate snow events. The differences in the distributions and values of snowfall cloud V values were small among the different snow types, and descending motions occurred below 6 km, with V ranging − 1.4 ~ − 0.3 m·s−1. The heights of the non-snowfall cloud top and base during the day were lower than those at night. The snowfall cloud top did not show noticeable diurnal variations. The cloud top and base heights of the non-snowfall clouds both showed a single-peak distribution. The cloud top values of snowfall clouds exhibited bimodal distributions.

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Comparison of cloud top heights derived from FY-2 meteorological satellites with heights derived from ground-based millimeter wavelength cloud radar

Cited by 20 publications

References 14 publications

Statistical Characteristics of Raindrop Size Distributions and Parameters in Central China During the Meiyu Seasons

Statistical Characteristics of Raindrop Size Distributions and Parameters in Central China During the Meiyu Seasons

Characteristics of Warm Clouds and Precipitation in South China during the Pre-Flood Season Using Datasets from a Cloud Radar, a Ceilometer, and a Disdrometer

Macro- and microphysical characteristics of snowfall and non-snowfall clouds in the West Tianshan Mountains of China based on cloud radar

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