Microphysics of aerosol, fog and droplet residuals on the Canadian Atlantic coast

Duplessis, Patrick; Bhatia, Sonja; Hartery, Sean; Wheeler, M. J.; Chang, Rachel Y.-­W.

doi:10.1016/j.atmosres.2021.105859

Cited by 3 publications

(2 citation statements)

References 46 publications

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“…It is known that the presence of large particles of SS reduces ambient supersaturation due to competition for water vapor [39]. Over the sea, [40] found values of effective supersaturation of 0.019 ± 0.004%, assuming κ s = 1.1. Taking this into account, it has been assumed that large SS particles, those with sizes greater than 0.5 µm (jet drop mode and spume drop mode in Table 1), are activated in clouds.…”

Section: Ambient Supersaturationmentioning

confidence: 97%

Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model

Martín Pérez,

Gleeson,

Maalampi

et al. 2024

Meteorology

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Near real-time aerosol fields from the Copernicus Atmospheric Monitoring Services (CAMS), operated by the European Centre for Medium-Range Weather Forecasts (ECMWF), are configured for use in the HARMONIE-AROME Numerical Weather Prediction model. Aerosol mass mixing ratios from CAMS are introduced in the model through the first guess and lateral boundary conditions and are advected by the model dynamics. The cloud droplet number concentration is obtained from the aerosol fields and used by the microphysics and radiation schemes in the model. The results show an improvement in radiation, especially during desert dust events (differences of nearly 100 W/m2 are obtained). There is also a change in precipitation patterns, with an increase in precipitation, mainly during heavy precipitation events. A reduction in spurious fog is also found. In addition, the use of the CAMS near real-time aerosols results in an improvement in global shortwave radiation forecasts when the clouds are thick due to an improved estimation of the cloud droplet number concentration.

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Section: Ambient Supersaturationmentioning

confidence: 97%

Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model

Martín Pérez,

Gleeson,

Maalampi

et al. 2024

Meteorology

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“…They presented the physical characteristics of aerosol accumulation, as well as the transition and mixture of aerosol and fog. Using a ground-based counterflow virtual impactor, Duplessis et al [13] measured the size distributions of fog droplet and aerosol near Halifax on the eastern coast of Canada, as well as the fog droplet residuals. In addition, many studies analyzed the macro characteristics related to the formation, development and dissipation of fog, such as the synoptic pattern and meteorological factors (wind speed, relative humidity and moisture) [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Study on Risk Prediction Model of Expressway Agglomerate Fog-Related Accidents

et al. 2023

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Based on meteorological observations, traffic flow data and information of traffic accidents caused by fog or agglomerate fog along the expressways in Jiangsu Province and Anhui Province in China from 2012 to 2021, key impact factors including meteorological conditions, road hidden dangers and traffic flow conditions are integrated to establish the prediction model for risk levels of expressway agglomerate fog-related accidents. This model takes the discrimination of the occurrence conditions of agglomerate fog as the starting term, and determines the hazard levels of agglomerate fog-related accidents by introducing the probability prediction value of meteorological conditions for fog-related accident as the disaster-causing factor. On this basis, the hourly road traffic flow and the location of road sections with a hidden danger of agglomerate fog are taken as traffic and road factors to construct the correction scheme for the hazard levels, and the final predicted risk level of agglomerate fog-related accident is obtained. The results show that for the criteria of disaster-causing factor classification threshold, 72.3% of fog-related accidents correspond to a hazard of a medium level or above, and 86.2% of the road traffic flow conditions are consistent with the levels of the traffic factor defined based on parametric indexes. For risk level prediction, six out of the seven agglomerate fog-related accidents correspond to the level of higher risk or above, which can help provide meteorological support for traffic safety under severe weather conditions. Moreover, the model takes into account the impacts of traffic flow and the road environment, which is conducive to further improving the reliability of the risk assessment results.

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Seasonal and Microphysical Characteristics of Fog at a Northern Airport in Alberta, Canada

Boudala

Wu²,

Isaac

et al. 2022

Remote Sensing

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Reduction in visibility (Vis) due to fog is one of the deadliest severe weather hazards affecting aviation and public transportation. Nowcasting/forecasting of Vis reduction due to fog using current models is still problematic, with most using some type of empirical parameterization. To improve the models, further observational studies to better understand fog microphysics and seasonal variability are required. To help achieve these goals, the seasonal and microphysical characteristics of different fog types at Cold Lake airport (CYOD), Alberta, Canada were analyzed using hourly and sub-hourly METAR data. Microphysical and meteorological measurements obtained using the DMT Fog Monitor FM-120 and the Vaisala PWD22 were examined. The results showed that radiation fog (RF) dominates at CYOD in summer while precipitation, advection and cloud-base-lowering fogs mostly occur in fall and winter. All fog types usually form at night or early morning and dissipate after sunrise. The observed dense fog events (Vis < 400 m) were mainly caused by RF. The observed mean fog particle spectra () for different fog types and temperatures showed bimodal n(D) (with two modes near 4 μm and 17–25 μm; the maximum total number concentration () was 100 cm−3 and 20 cm−3, respectively, corresponding to each mode). Parameterizations of Vis as a function of liquid water content () and were developed using both the observed Vis and calculated Vis based on . It was found that the observed Vis was higher than the calculated Vis for warm fog with > 0.1 gm−3 and most of the mass was contributed by the large drops. Based on the observed Vis, the relative error of the visibility parameterization as a function of both and (32%) was slightly lower than that (34%) using alone for warm fogs.

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Microphysics of aerosol, fog and droplet residuals on the Canadian Atlantic coast

Cited by 3 publications

References 46 publications

Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model

Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model

Study on Risk Prediction Model of Expressway Agglomerate Fog-Related Accidents

Seasonal and Microphysical Characteristics of Fog at a Northern Airport in Alberta, Canada

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