Characteristics of Advection Fog at Qingdao Liuting International Airport DOI Creative Commons
Zhiwei Zhang, Yunying Li, Laurent Li

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(8), P. 1310 - 1310

Published: Aug. 19, 2023

The advection fog characteristics at Qingdao Liuting International Airport during 2000–2022 are studied based on surface observation, sounding and reanalysis data. Surface observation data show that there were two types of fog: evaporation (EF) dominated by northwesterly wind in winter cooling (CF) southeasterly spring summer. CF is thicker than EF due to different planetary boundary layer (PBL) structures. For EF, the middle low troposphere affected dry cold air, while warm moist air below 850 hPa. When formed, downdrafts a positive vertical gradient pseudo-equivalent potential temperature indicate stable PBL, heat flux upward from sea atmosphere diverges near air–sea interface. these reversed. Fog significantly sea–land–atmosphere interactions. moisture source mainly fluxes released Yellow Sea case it latitudes local land transpiration CF. difference between changes range 0–8 K for but −4–0

Language: Английский

Observational study of relationships between entrainment rate, homogeneity of mixing, and cloud droplet relative dispersion DOI Creative Commons
Chunsong Lu, Lei Zhu, Yangang Liu

et al.

Atmospheric Research, Journal Year: 2023, Volume and Issue: 293, P. 106900 - 106900

Published: June 29, 2023

Language: Английский

Citations

39
The Probability Density Function Related to Shallow Cumulus Entrainment Rate and Its Influencing Factors in a Large-Eddy Simulation DOI
Lei Zhu, Chunsong Lu, Xiaoqi Xu

et al.

Advances in Atmospheric Sciences, Journal Year: 2023, Volume and Issue: 41(1), P. 173 - 187

Published: Aug. 10, 2023

Language: Английский

Citations

18
Improvement of cloud microphysical parameterization and its advantages in simulating precipitation along the Sichuan-Xizang Railway DOI
Xiaoqi Xu,

Zhiwei Heng,

Yueqing Li

et al.

Science China Earth Sciences, Journal Year: 2024, Volume and Issue: 67(3), P. 856 - 873

Published: Feb. 2, 2024

Language: Английский

Citations

8
Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing DOI
Yuan Wang, Hailing Jia, Ping Zhang

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 309, P. 107552 - 107552

Published: June 28, 2024

Language: Английский

Citations

8
Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios DOI Creative Commons
Hao Luo, Johannes Quaas, Han Yong

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(14), P. 8169 - 8186

Published: July 21, 2023

Abstract. Clouds exhibit a wide range of vertical morphologies that are regulated by distinct atmospheric dynamics and thermodynamics related to diversity microphysical properties radiative effects. In this study, the new CERES-CloudSat-CALIPSO-MODIS (CCCM) RelD1 dataset is used investigate morphology spatial distribution different cloud structure (CVS) types during 2007–2010. The combined active passive satellites provide more precise CVS than those only based on imagers or microwave radiometers. We group clouds into 12 classes how they located overlapping in three standard layers with pressure thresholds 440 680 hPa. For each types, global average effects (CREs) at top atmosphere, within atmosphere surface, as well heating rate (CHR) profiles examined. observations subsequently evaluate variations total, high-, middle- low-level fractions CMIP6 models. “historical” experiment 1850–2014 two scenarios (ssp245 ssp585) 2015–2100 analyzed. observational results show substantial difference pattern among greatest contrast between high low clouds. Single-layer fraction almost 4 times larger multi-layer fraction, significant geographic differences associated clearly distinguishable regimes, showing regionally confined. CREs reveal four CVSs warm planet, while eight them cool it. longwave component drives net CHR profile, curved intricate single-layer clouds, resulting complex thermal stratifications. According long-term analysis from CMIP6, projected total decreases faster over land ocean. ocean increase significantly, but other continue decrease, helping offset decrease oceanic fraction. Moreover, it concluded may not be significantly altered climate change, influenced. Our findings suggest observed should emphasized future better understand responses anthropogenic forcing change.

Language: Английский

Citations

16
Space–Time Evaluation of Atmospheric Black Carbon in Chinese Urban Environment: Influence of Land Use and Air Pollution Policies DOI
Abdallah Shaheen, Fang Wang, Robabeh Yousefi

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 8(2), P. 501 - 519

Published: Feb. 28, 2024

Language: Английский

Citations

5
A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors DOI Creative Commons
Arsalan Haider,

Marcell Pigniczki,

Shotaro Koyama

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6891 - 6891

Published: Aug. 3, 2023

In this work, we introduce a novel approach to model the rain and fog effect on light detection ranging (LiDAR) sensor performance for simulation-based testing of LiDAR systems. The proposed methodology allows simulation using rigorous applications Mie scattering theory time domain transient point cloud levels spatial analyses. analysis permits us benchmark virtual signal attenuation signal-to-noise ratio (SNR) caused by droplets. addition, rate (DR), false (FDR), distance error derror due droplets are evaluated level. mean absolute percentage (MAPE) is used quantify real measurement results measurements match well if simulated distributions same. degrades more under influence than in rain.

Language: Английский

Citations

12
Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study DOI Creative Commons

Naifu Shao,

Chunsong Lu, Xingcan Jia

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(17), P. 9873 - 9890

Published: Sept. 6, 2023

Abstract. Aerosol–cloud interaction (ACI) in fog and planetary boundary layer (PBL) conditions plays critical roles the life cycle. However, it is not clear how ACI first (Fog1) affects PBL subsequently second (Fog2), which important information for understanding between PBL, as well their effects on properties. To fill this knowledge gap, we simulate two successive radiation events Yangtze River Delta, China, using Weather Research Forecasting model coupled with Chemistry (WRF-Chem). Our simulations indicate that conducive to Fog2 formation are affected by high aerosol loading Fog1; subsequently, promotes Fog2, resulting a higher liquid water content, droplet number concentration, smaller size, larger optical depth, wider distribution, longer lifetime than Fog1. This phenomenon related following physical factors. The factor involves meteorological formation, including low temperature, humidity, stability. feedbacks microphysics radiative cooling. A concentration increases path thereby enhancing long-wave cooling condensation near top. third macrophysics, radiation, turbulence. top presents stronger base, weakens temperature inversion strengthens turbulence, ultimately increasing fog-top height area. In summary, under polluted conditions, postpones dissipation of Fog1 owing these generates more those prior These promote earlier further strengthening Fog2. findings studying aerosols, fog, PBL; moreover, they shed new light ACI.

Language: Английский

Citations

11
Causal relationship between particulate matter and COVID-19 risk: A mendelian randomization study DOI Creative Commons

Jiayi Zhu,

Yong Zhou, Qiuzhen Lin

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e27083 - e27083

Published: Feb. 24, 2024

Observational studies have linked exposure to fine (PM2.5) and coarse (PM10) particulate matter air pollution with adverse COVID-19 outcomes, including higher incidence mortality. However, some questioned the effect of on susceptibility, raising questions about causal nature these associations. To address this, a less biased method like Mendelian randomization (MR) is utilized, which employs genetic variants as instrumental variables infer relationships in observational data.

Language: Английский

Citations

4
Is a more physical representation of aerosol chemistry needed for fog forecasting? DOI
Moumita Bhowmik, Anupam Hazra, Sachin D. Ghude

et al.

Quarterly Journal of the Royal Meteorological Society, Journal Year: 2024, Volume and Issue: 150(762), P. 2690 - 2711

Published: June 24, 2024

Abstract With the changing climate, study of fog formation is essential due to impact complexity natural and anthropogenic aerosols. The evolution droplet size distribution in presence different aerosol species remains poorly understood. To make progress towards reducing uncertainty forecasts, Eulerian–Lagrangian particle‐based small‐scale model for diffusional growth droplets used better understand activation growth. simulations are performed using observed data from Winter Fog Experiment over Indira Gandhi International Airport, New Delhi. microphysical properties, such as number concentrations (Nd) liquid water content (LWC), important simulation, evaluated gain more insights. have shown properties at evolutionary stages. Nd effective radius change with variations LWC chemistries (i.e., organics, mix, inorganic). calculated visibility small scale also variation LWC. This compared an existing parametrization parcel–direct numerical simulation calculation. hygroscopicity , which highly related aerosols condensation nuclei, taken into account demonstrate contribution chemistry formation. results highlight that prediction regulated by species.

Language: Английский

Citations

4