Macrophysical properties of specific cloud types from radiosonde and surface active remote sensing measurements over the ARM Southern Great Plains site

Chen, Hongbin

doi:10.1080/16742834.2017.1239505

Cited by 2 publications

(2 citation statements)

References 28 publications

(27 reference statements)

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“…Kalesse and Kollias [16] compared the characteristics of the high cloud using the millimeter-wavelength cloud radar (MMCR) data observed at the Southern Great Plains (SGP) and the Manus of Atmospheric Radiation Measurement (ARM) program. Zhang and Chen [17] used the MMCR and radiosonde from the SGP site to classify the cloud types and analyze the seasonal variations of top height, base height, and thickness of the cloud. They showed that the high cloud was the most frequent during all seasons and the multi-layer cloud was the least frequent.…”

Section: Introductionmentioning

confidence: 99%

Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea

Jung

Shin

et al. 2020

Remote Sensing

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The cloud measurements for two years from the vertical pointing Ka-band cloud radar at Boseong in Korea are used to analyze detailed cloud properties. The reflectivity of the cloud radar is calibrated with other vertical pointing radars compared with the two disdrometers. A simple threshold-based quality control method is applied to eliminate non-meteorological echoes (insects and noise) in conjunction with despeckling along the radial direction. Clouds are classified into five types: high (HC), middle (MC), low (LC) for non-precipitating clouds, and deep (RainDP) and shallow (RainSH) for precipitating clouds. The average cloud frequency was about 35.9% with the maximum frequency of 50% in June for the total two-year sampling period. The RainDP occurred most frequently (11.8%), followed by HC (9.3%), MC (7.4%), RainSH (4.4%), and LC (2.9%) out of the average occurrence of the total 35.9%. HC and RainDP were frequently observed in summer and autumn, while RainSH, LC, and MC were dominant in the winter due to the dominant cloud development by the air-sea interaction during the cold air outbreak. The HC showed a significant seasonal variation of the maximum height and the rapid growth in the layer above 7 km (about −15 °C) in summer and autumn. This rapid growth appears in HC, MC, LC, and RainDP and is linked with rapid increases in Doppler velocity and mass flux. Thus, this growth is originated from the dominant riming processes in addition to depositional growth and is supported by an updraft in the layer between 6 and 8 km. MC showed a single frequency peak around 6 km with rapid growth above and strong evaporation below. The Doppler velocity of MC rapidly increases above 8 km and is nearly constant below this height due to strong evaporation except in the summer. LC had a similar trend of reflectivity (rapid growth in the HC region and strong evaporation in the lower region) lacking high frequency in the MC region. Unlike LC, the RainDP had continuous growth toward the ground in the entire layer with rapid growth in the HC and MC regions. In addition, two modes (cloud and precipitation) appear on the ground in spring and fall with the vertical continuity of the high frequency in the precipitation mode. The precipitation growth was most efficient in RainSH in summer with a reflectivity gradient of about 20 dBZ km−1 and frequent updrafts larger than 1 m s−1 and was smaller in the MC and HC regions.

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Section: Introductionmentioning

confidence: 99%

Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea

Jung

Shin

et al. 2020

Remote Sensing

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“…Warm rain initiation affects the cloud life cycle and cloud macro-and microphysics. Since clouds influence radiation (Zhao and Ishizaka 2004;Xin and Li 2016;Fu and Lei 2017;Zhang and Chen 2017), parameterizations of warm rain initiation are important for evaluating cloud-radiation-climate feedbacks. Understanding warm rain initiation and cloud droplet size distribution broadening (spectral broadening hereafter) is one of the main challenges of cloud physics (Hu 1979;Beard and Ochs 1993;Sun et al 2012;Blyth et al 2013;Cooper, Lasher-Trapp, and Blyth 2013;Dagan, Koren, and Altaratz 2015;Selvam 2015;Seifert and Onishi 2016).…”

Section: Introductionmentioning

confidence: 99%

Broadening of cloud droplet size distributions and warm rain initiation associated with turbulence: an overview

Liu

Niu

et al. 2017

Atmospheric and Oceanic Science Letters

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Broadening of cloud droplet size distributions and warm rain initiation associated with turbulence: an overview LU Chun-Song a,b , LIU Yan-Gang c , NIU Sheng-Jie a and XUE Yu-Qi a a Key Laboratory of meteorological disaster, ministry of education (KLme)/Joint international research Laboratory of climate and environment change (iLcec)/collaborative innovation center on Forecast and evaluation of meteorological disasters (cic-Femd)/Key Laboratory for Aerosol-cloud-precipitation of china meteorological Administration, nanjing University of information science & technology, nanjing, china;

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Macrophysical properties of specific cloud types from radiosonde and surface active remote sensing measurements over the ARM Southern Great Plains site

Cited by 2 publications

References 28 publications

Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea

Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea

Broadening of cloud droplet size distributions and warm rain initiation associated with turbulence: an overview

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