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

Boudala, Faisal S.; Wu, Di; Isaac, George A.; Gültepe, Ismail

doi:10.3390/rs14194865

Cited by 9 publications

(5 citation statements)

References 33 publications

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“…Advection fog (AF), or moist, occurs when warm air is flowing over water with different temperatures. This type occurs frequently in coastal regions, as an example is shown in [7], results showed that radiation fog dominates at CYOD (Colt Lake airport) in summer while precipitation, advection and cloud-base-lowering fog mostly occur in fall and winter.…”

Section: Introductionmentioning

confidence: 87%

Production of Artificial Fog in the PAVIN Fog and Rain Platform: In Search of Big Droplets Fog

Duthon,

Fernandes,

Liandrat

2024

ACS

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In fog, visibility is reduced. This reduction in visibility is measured by the meteorological optical range (MOR), which is important for studying human perception and various sensors in foggy conditions. The Cerema PAVIN Fog & Rain platform is capable of producing calibrated fog in order to better analyses it and understand its consequences. The problem is that the droplets produced by the platform are not large enough to resemble real fog. This can have a major impact on measurements since the interaction between electromagnetic waves and fog depends on the wavelength and diameter of the droplets. To remedy this, Cerema is building a new platform with new equipment capable of generating fog. This study analyses different nozzles and associated usage parameters such as the type of water used and the pressure used. The aim is to select the best nozzle with the associated parameters for producing large-diameter droplets and therefore more realistic fog.

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Section: Introductionmentioning

confidence: 87%

Production of Artificial Fog in the PAVIN Fog and Rain Platform: In Search of Big Droplets Fog

Duthon,

Fernandes,

Liandrat

2024

ACS

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“…Its measurement range of droplets is 2 µm-50 µm. So far, FM120 has been widely used in alpine stations for detection of meteorological parameters [56][57][58]. The schematic of the working function of FM120 is shown in Figure 5.…”

Section: The Fog Monitor (Fm120)mentioning

confidence: 99%

A Comparative Investigation of Light Scattering and Digital Holographic Imaging to Measure Liquid Phase Cloud Droplets

Zhang,

Wang,

Yang

et al. 2023

Atmosphere

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The measurement of cloud microphysical parameters plays an important role in describing characteristics of liquid phase clouds and investigating mutual relationships between clouds and precipitation. In this paper, cloud microphysical parameters at Liupan Mountain Weather Station in Ningxia are measured with a high-resolution coaxial digital holographic imager and a fog monitor 120. There are differences in the measurement results between the two instruments. The number concentration measured by the digital holographic imager is about 1.5 times that of the fog monitor 120. However, their Pearson correlation coefficient is above 0.9. Through analysis, we found that the measurement results of the digital holographic imager and fog monitor 120 are differences in 2–4 µm and 7–50µm. For the droplets with the diameters of 4–7 µm, their measurement results have good consistency. By analyzing the influence of wind field and detection sensitivity on the measurement principle, the reasons which caused the difference are proposed. Advice is given to observe topographic clouds by using the above two instruments. In addition, the differences in liquid water content and visibility are analyzed due to the absence of small and large droplets. The study provides data support for improving the accuracy of instruments in measuring cloud droplets and is useful for research in the field of cloud microphysical processes.

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“…This information is used as a guideline for estimating aircraft holdover time and de-icing operation [35]. In the guidance table, the Vis data are also segregated according to daytime and nighttime conditions [35], and this issue is discussed extensively in the previous studies [4,36,37]. According to Boudala et al, (2012), the nighttime visibility (V n ) can be related to daytime visibility (V d ) as…”

Section: Visibility and Solid Precipitation Intensity Data Analysismentioning

confidence: 99%

Solid Precipitation and Visibility Measurements at the Centre for Atmospheric Research Experiments in Southern Ontario and Bratt’s Lake in Southern Saskatchewan

Boudala,

Milbrandt

2023

Remote Sensing

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Accurate measurement of solid precipitation (S) has a critical importance for proper understanding of the Earth’s hydrological cycle, validation of emerging technologies and weather prediction models, and developing parameterizations of severe weather elements such as visibility (Vis). However, measuring S is still a challenging problem, due mainly to wind effects. The wind effects are normally mitigated by using a Double-Fence Automated Reference (DFAR) system to reduce the wind speed (Ug). To contribute towards addressing some of these problems, we have analyzed datasets collected at two sites, Center for Atmospheric Research Experiments (CARE) and Bratt’s Lake, located in southern Ontario and southern Saskatchewan, Canada, respectively, using several instruments. The instruments at CARE include two Geonor gauges, one placed inside a DFAR (SDFAR) and the other inside a double Alter shield (DASG), a Pluvio2 gauge inside a single Alter shield (SASP), a HotPlate, a PARSIVEL2 disdrometer that measures S and fall velocity (V), and an FD12P senor that measures S and type and Vis. The instruments deployed in Bratt’s Lake includes a similar DFAR system and DAS Pluvio2 gauge. The results show that for the Ug observed in this study (Ug < 6 ms−1), both DASG and SASP have similar collection efficiency (CE) of near 70%. The transfer functions (TF) for DASG and SASP as a function of Ug and also Ug, and V were derived. The TF developed for the DASG that includes both Ug and V showed better agreement with observation than just Ug alone. The TF developed for DASG at CARE site was tested using the data collected in Bratt’s Lake and correlated well (R = 0.86), but slightly overestimated the S accumulation by about 12%. The S measured at CARE site using all the other instruments were correlated well with SDFAR (R = 0.9), but the PARSIVEL2 and FD12P overestimated and underestimated the snow amount, respectively, as compared the SDFAR. However, the HotPlate captured similar amount of S as the SDFAR. According to this study, the SDFAR showed good correlation with Vis.

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

Cited by 9 publications

References 33 publications

Production of Artificial Fog in the PAVIN Fog and Rain Platform: In Search of Big Droplets Fog

Production of Artificial Fog in the PAVIN Fog and Rain Platform: In Search of Big Droplets Fog

A Comparative Investigation of Light Scattering and Digital Holographic Imaging to Measure Liquid Phase Cloud Droplets

Solid Precipitation and Visibility Measurements at the Centre for Atmospheric Research Experiments in Southern Ontario and Bratt’s Lake in Southern Saskatchewan

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