Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau DOI Creative Commons
Shizhen Zhu,

Ling Qian,

Xueqian Ma

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(10), P. 1781 - 1781

Published: May 17, 2024

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

Language: Английский

Comparison of Simulated Warm‐Rain Microphysical Processes in a Record‐Breaking Rainfall Event Using Polarimetric Radar Observations DOI
Wang Hong, Ming Xue, Jinfang Yin

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2023, Volume and Issue: 128(23)

Published: Dec. 4, 2023

Abstract During 6–7 May 2017, a record‐breaking nocturnal rainfall event occurred in Guangzhou, China, and it was typical warm‐sector heavy under weak synoptic forcing. A prior observational study by the authors revealed that warm‐rain microphysical processes were dominant responsible for precipitation. In this study, double‐moment Morrison, Thompson NSSL microphysics schemes WRF are evaluated against polarimetric radar observations their ability of reproducing observed characteristics. The scheme shows greatest fidelity to raindrop size distribution (RSD) median value, corresponding most amount precipitation forecast. While Morrison simulations overestimate (underestimate) (number concentration), exhibiting continental‐type convective three experiments slightly differential reflectivity ( Z DR ), but significantly underestimate specific phase K DP ) liquid water content about 30%–50%, implying undervaluation number medium‐sized raindrops. Examinations occurrence frequencies , mass‐weighted diameter, logarithmic normalized intercept parameter rain suggest all fail reproduce full variability RSD extreme rainfall. vertical variations parameters Kumjian‐Ryzhkov space collision–coalescence is process simulated too weak. This may be attributed misrepresented near melting layer, where raindrops with lower concentration larger sizes cannot grow through as actively.

Language: Английский

Citations

5

Modeling study of the effects of entrainment-mixing on fog simulation in the chemistry–weather coupling model GRAPES_Meso5.1/CUACE CW DOI Creative Commons
Yang Zhao, Hong Wang, Xiaoqi Xu

et al.

Environmental Science Atmospheres, Journal Year: 2024, Volume and Issue: 4(3), P. 387 - 407

Published: Jan. 1, 2024

Entrainment-mixing processes of fog with the surrounding ambient air are extremely intricate and impose significant effects on microphysical radiative properties fog.

Language: Английский

Citations

1

Why does a decrease in cloud amount increase terrestrial evapotranspiration in a monsoon transition zone? DOI Creative Commons

Wenhui Liu,

Ping Yue, Xianghua Wu

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(4), P. 044047 - 044047

Published: March 19, 2024

Abstract Terrestrial evapotranspiration plays a critical role in drought monitoring and water resource management. Changes are significantly influenced by cloud-related precipitation radiation effects. However, the impact of cloud amount (CA) on through its influence remains uncertain, especially transition zone affected East Asian summer monsoon (EASM), which limits understanding cycle. Therefore, this study deeply explores CA potential physical mechanisms Northwest China. The results show that correlation between 31-year average is negative only semi-arid region positive other climatic regions This unique related to change pattern caused weak EASM. Smaller monsoons more short-wave reaching surface, larger sensible heat, weaker convective inhibition. Consequently, proportion clouds (CCs) increases from these CCs enhances evapotranspiration. Less potentially exacerbates aridity These emphasize type It well known global warming can with CCs. sheds new light under warming.

Language: Английский

Citations

1

Turbulence-induced droplet grouping and augmented rain formation in cumulus clouds DOI Creative Commons
Siddharth Gumber, Sudarsan Bera, S. Ghosh

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 4, 2024

Abstract This paper provides the first observational analysis of how droplet separation is impacted by flinging action microscale vortices in turbulent clouds over a select radii range and they vary cloud cores along peripheral edges. It premised that this mechanism initiates within volume soon after condensational growth, largely core, operates until exceed 20–30 µm when effect fades rapidly. New observations are presented showing also impact settling rates droplets critical size (6–18 µm) causing them to sediment faster than still air affecting swept volumes thereby impacting rain initiation formation. Large-scale atmospheric models ignore these effects linked rapid growth during early stages conversion. Previous studies on spatial organization edges inside deep core have shown homogeneous Poisson statistics, indicative presence vigorous in-cloud mixing process at small scales obtained, contrast an inhomogeneous distribution In paper, it established marked region, homogeneity can be vortical activity which flings 6–18 outward. The typical radius trajectories or flung around correlates with interparticle distance strongly. correlation starts diminish as one proceeds from central fringes because added entrainment cloud-free air. These results imply augmented small-scale interaction prior other more large-scale processes involving mixing. study, combining amplified velocities included Weather Research Forecasting- LES case study. Not only significant differences observed morphology compared baseline case, but ‘enhanced’ shows commencement rainfall intense precipitation ‘standard’ case. modelled equilibrium raindrop spectrum agrees better enhanced sedimentation mediated calculations where still-air terminal used.

Language: Английский

Citations

1

Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau DOI Creative Commons
Shizhen Zhu,

Ling Qian,

Xueqian Ma

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(10), P. 1781 - 1781

Published: May 17, 2024

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

Language: Английский

Citations

1