Balloon-borne aerosol–cloud interaction studies (BACIS): field campaigns to understand and quantify aerosol effects on clouds

Kiran, V. Ravi; Ratnam, M. Venkat; Fujiwara, Masatomo; Russchenberg, H.W.J.; Wienhold, F. G.; Madhavan, Bomidi Lakshmi; Raman, M. Roja; Nandan, Renju; Raj, S.T. Akhil; Kumar, A. Hemanth; Babu, Saginela Ravindra

doi:10.5194/amt-15-4709-2022

Cited by 4 publications

(2 citation statements)

References 77 publications

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“…There are differences in ACIs among different cloud phases. Due to the less complex microphysical processes in liquid-phase clouds, which do not involve mixed-phase and ice-phase processes, there have been many research findings on the interaction between aerosols and liquid-phase clouds [9,12,[19][20][21][22][23][24][25][26][27][28]. Numerous studies have found a negative correlation between cloud droplet size and aerosol concentration in liquid-phase clouds, consistent with the traditional aerosol indirect effect or "Twomey effect" by using satellites, aircraft, ground-based observations, etc.…”

Section: Introductionmentioning

confidence: 69%

Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau

Zhu,

Qian,

et al. 2024

Remote Sensing

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Using CloudSat/CALIPSO satellite data and ERA5 reanalysis data from 2006 to 2010, the effects of aerosols on ice- and mixed-phase, single-layer, non-precipitating clouds over the Tibetan Plateau during nighttime in the MAM (March to May), JJA (June to August), SON (September to November), and DJF (December to February) seasons were examined. The results indicated the following: (1) The macrophysical and microphysical characteristics of ice- and mixed-phase clouds exhibit a nonlinear trend with increasing aerosol optical depth (AOD). When the logarithm of AOD (lnAOD) was ≤−4.0, with increasing AOD during MAM and JJA nights, the cloud thickness and ice particle effective radius of ice-phase clouds and mixed-phase clouds, the ice water path and ice particle number concentration of ice-phase clouds, and the liquid water path and cloud fraction of mixed-phase clouds all decreased; during SON and DJF nights, the cloud thickness of ice-phase clouds, cloud top height, liquid droplet number concentration, and liquid water path of mixed-phase clouds all decreased. When the lnAOD was > −4.0, with increasing AOD during MAM and JJA nights, the cloud top height, cloud base height, cloud fraction, and ice particle number concentration of ice-phase clouds, and the ice water path of mixed-phase clouds all increased; during SON and DJF nights, the cloud fraction of mixed-phase clouds and the ice water path of ice-phase clouds all increased. (2) Under the condition of excluding meteorological factors, including the U-component of wind, V-component of wind, pressure vertical velocity, temperature, and relative humidity at the atmospheric pressure heights near the average cloud top height, within the cloud, and the average cloud base height, as well as precipitable water vapor, convective available potential energy, and surface pressure. During MAM and JJA nights. When the lnAOD was ≤ −4.0, an increase in aerosols may have led to a decrease in the thickness of ice and mixed-phase cloud layers, as well as a reduction in cloud water path values. In contrast, when the lnAOD was > −4.0, an increase in aerosols may contribute to elevated cloud base and cloud top heights for ice-phase clouds. During SON and DJF nights, changes in various cloud characteristics may be influenced by both aerosols and meteorological factors.

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Section: Introductionmentioning

confidence: 69%

Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau

Zhu,

Qian,

et al. 2024

Remote Sensing

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“…Therefore, the combination of the two time series reduces the limitations of the instruments taken individually. Finally, the aerosol-cloud interaction intrinsically analyzed by STIA have important and multidisciplinary scientific implications, also in relation to the Earth's climate and its changes, as demonstrated by numerous publications [ 6 , 7 , 8 , 9 , 10 ].…”

Section: Methods Detailsmentioning

confidence: 99%

Spatial-Temporal resolution implementation of cloud-aerosols data through satellite cross-correlation

Manenti,

Cavazzani,

Bertolin

et al. 2024

MethodsX

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Aerosol–cloud interactions at the four candidate sites of the ANAtOLIA project

Cavazzani

Bertolin²,

Ortolani

et al. 2023

RAS Techniques and Instruments

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ANAtOLIA (Atmospheric monitoring to Assess the availability of Optical Links through the Atmosphere) is a European Space Agency project aimed at selecting sites for optical communication in the atmosphere. The main monitored parameters are cloud cover, aerosol in relation to atmospheric turbulence aimed at monitoring and forecasting the influence of aerosol and cloud cover in reducing optical communication through the atmosphere in selected sites by ESA. In this work, a novel algorithm that uses both the Pearson correlation coefficient and Fourier analysis, is used to assess such influences. Aerosol and cloud cover data are obtained from ground stations and satellite over Calern (France), Catania (Italy), Cebreros (Spain) and Lisbon (Portugal). The novel algorithm provides a preliminary long-, medium- and short-term aerosol-cloud interaction for these four candidate sites, obtaining respectively the variability, the seasonal and hourly trend of the aerosol concentration; the main medium-term periodicities of aerosols as clouds precursors; the short-term correlation between morning-afternoon aerosol concentration. The use of aerosols as a precursor parameter of cloud cover through a Fourier analysis, makes the algorithm versatile and usable for all sites of optical communication and astronomical importance in which optical transparency is a fundamental requirement, and therefore it is a potential tool to be developed to implement forecasting models.

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Balloon-borne aerosol–cloud interaction studies (BACIS): field campaigns to understand and quantify aerosol effects on clouds

Cited by 4 publications

References 77 publications

Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau

Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau

Spatial-Temporal resolution implementation of cloud-aerosols data through satellite cross-correlation

Aerosol–cloud interactions at the four candidate sites of the ANAtOLIA project

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