A climatological study of fog in Turkey

Baltaci, Hakki; Silva, Maria Cristina Lemos da; Gomes, Heliofábio Barros

doi:10.1002/joc.7823

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…Fog is one of the most dangerous weather conditions above the sea surface due to its significant impact on visibility [33]. Fog is typically classified into two types based on its location and formation mechanism: advection fog (predominantly at sea) and radiation fog (primarily on land) [34]. The radius of fog droplets generally ranges from 2 µm to 15 µm, with a maximum radius of 50 µm [26].…”

Section: Fog Droplet Size Distribution Modelmentioning

confidence: 99%

Detection Performance Analysis of Marine Wind by Lidar and Radar under All-Weather Conditions

Peng,

Wu,

Shen

et al. 2024

Remote Sensing

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Accurate marine wind detection under all-weather conditions is crucial for maritime activities. The joint detection of lidar and radar is supposed to be a potential way to carry out the all-weather sensing of wind. However, their performance analysis has not been well studied, particularly in the far sea area, where the wind-tracing particles are quite different from those inland. Based on the particle distributions above the sea surface under different weather conditions, this study investigated the scattering and attenuation effects of lidar and radar waves in open sea areas with the Mie theory and T-matrix method. Then, the maximum detection range and velocity accuracies of lidar/radar were comprehensively analyzed based on detection principles to optimize the combination of lidar and radar. According to the simulation results, it was difficult to maintain the detection capability of a single lidar/radar under all-weather conditions, and 1.55 μm lidar and W-band radar presented a promising joint detection scheme, as they exhibited optimal weather adaptability in clear sky and precipitation conditions, respectively.

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Section: Fog Droplet Size Distribution Modelmentioning

confidence: 99%

Detection Performance Analysis of Marine Wind by Lidar and Radar under All-Weather Conditions

Peng,

Wu,

Shen

et al. 2024

Remote Sensing

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Spatiotemporal variability and underlying large‐scale atmospheric mechanisms causing the change in the Black Sea surface temperature and associated extreme precipitation events in the northeastern of Turkiye

Baltaci,

Turk

2024

Intl Journal of Climatology

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Sea surface temperature (SST) has an important local and remote influence on global climate through the distribution and transport of heat and moisture. As a result of climate forcing, significant changes occur in the SSTs, which result in many natural disasters such as supercharged storms, higher wind speeds, heavier precipitation and flooding. This study investigates the spatiotemporal changes and underlying atmospheric mechanisms of the Black Sea (BLS) surface temperature. For this purpose, National Oceanicand Atmospheric Administration (NOAA) high‐resolution SST data (0.25°), which were verified with buoy observations, were used for the period 1982–2021. To investigate the circulation impacts, the relationship between North Atlantic Oscillation and East Atlantic/West Russia (EA/WR) phases and SSTs of the western BLS (WBLS) and eastern BLS (EBLS) was analysed. According to the results, SST values increased from 1.64°C (in winter) to 2.52°C (in summer) during the 40‐year period. Significant SST increases are shown in the EBLS during the summer and fall months. Statistically significant negative correlations (p < 0.05) were found between EA/WR and winter (r = −0.57) and summer (r = −0.56) SSTs in the EBLS. During winter, surface high located in the eastern Anatolia causes southerly winds, which blows from the terrestrial areas to the EBLS and result in above‐normal SST values. During summer (under negative EA/WR phases), the Azores high‐pressure centre extends to the Balkan Peninsula and WBLS and as a consequence, a significant amount of moisture associated with high sea surface temperature (>27°C, above‐normal 2.0°C) develops low‐level moisture convergence. Proper synoptic conditions, strong instability conditions between the surface and upper levels, and orographic forcing enable the occurrence of convective cloud cells. The movement of these cells to the northeastern part of Turkiye by strong northwesterly winds causes extreme precipitation and associated flash‐flood events in a limited area where land–sea interaction occurs (i.e., Artvin, Rize and Hopa provinces of Turkiye).

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Fog and visibility analysis for Batman province

DENİZ,

YAVUZ

2024

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Sis, canlıların yaşamını etkileyen ve olumsuz sonuçlara neden olabilen meteorolojik hadiselerden biridir. Görüş mesafesini azaltması sebebiyle başta havacılık sektörü olmak üzere kara ve deniz ulaşımlarında da kaza ve kırımlara yol açmaktadır. Bu çalışmada, Batman ilinde sis hadisesinin 2013-2022 yılları arası için detaylı analizi gerçekleştirilmiştir. Sisli zamanların tespit edilmesi ve yer seviyesi meteorolojik parametrelerin temini için Batman Havalimanı tarafından yayınlanan havacılık rasatları kullanılmıştır. Periyot kapsamında toplamda 625 gün sisli olarak tespit edilmiş, yıllık ortalama sisli gün sayısı ise 56.8 gün olmuştur. En çok sisli gün 2017 yılında (%12), an az sisli gün ise 2021 (%7) yılında gözlemlenmiştir. Aralık (%25), Kasım (%21) ve Ocak (%20) ayları en çok sisli günlerin gözlendiği aylar olmuştur. Batman Havalimanı tarafından yayınlanan Meydan Rutin Hava Raporu (METAR) analizlerinde en çok parçalı sis (BCFG) hadisesinin meydana geldiği tespit edilmiştir. Sisli zamanlarda sıcaklık (T) ve çiy noktası sıcaklık (Td) değerleri birbirine yakın seyretmiş (fark 5 °C’den küçük) ve en düşük ortalama sıcaklık/çiy noktası sıcaklığı Ocak ayında (-1.2/-1.4°C) meydana gelmiştir. Bağıl nem değerleri sisli zamanlarda oldukça yüksek değerler almış (en düşük %98.4) ve bu değer Ocak ayında tespit edilmiştir. Sisli zamanlarda rüzgar şiddeti değerleri genellikle sakin ve hafif (2-4 knot) olmuştur. Görüş mesafesi ortalamalarında ise en düşük değer 0.8 knot ile Ocak ayında meydana gelmiştir. Fog Stability Index (FOGSI) analiz sonuçlarına göre sis tahmini için Batman ilinde en iyi eşik değer aralığı literatürde yer alan eşik değerden farklı olarak “25” olarak hesaplanmıştır. FOGSI için en uygun eşik değer belirlenmesi için istatistiki başarım testi olan Critical Success Index (CSI) kullanılarak bu değer tespit edilmiştir. Sonuç olarak, sis hadisesinin ve görüş mesafesinin FOGSI ile tahmin edilebilirliğini ortaya koymak için Batman ili dahilinde eşik değer modifikasyonu gerçekleştirilerek bu hadisenin tahmini için yeni bir eşik değer tespit edilmiştir.

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A climatological study of fog in Turkey

Cited by 3 publications

References 48 publications

Detection Performance Analysis of Marine Wind by Lidar and Radar under All-Weather Conditions

Detection Performance Analysis of Marine Wind by Lidar and Radar under All-Weather Conditions

Spatiotemporal variability and underlying large‐scale atmospheric mechanisms causing the change in the Black Sea surface temperature and associated extreme precipitation events in the northeastern of Turkiye

Fog and visibility analysis for Batman province

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