Simulation of the role of Caspian Sea surface temperature and air temperature on precipitation intensity in lake-effect snow

Ghafarian, Parvin; Delju, Amir H.; Tajbakhsh, Sahar; Penchah, Mohammadreza Mohammadpour

doi:10.1016/j.jastp.2021.105777

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…Previous studies have shown that the intensification and the track of a cyclone are highly affected by SST (Lau et al, 2016;Pytharoulis, 2018;Stathopoulos et al, 2020). Moreover, SST anomalies have been found to have a significant impact on tornadic supercells (Miglietta et al, 2017), the spatiotemporal distribution and intensity of precipitation extremes (Meredith et al, 2015;Andrea et al, 2018;Hatsuzuka and Sato, 2022) and on snowfall (Ghafarian et al, 2021). Quantifying the influence of SST on severe weather is critical for enhancing risk mitigation strate-gies and predictability, particularly in the light of the ongoing climate crisis.…”

Section: Introductionmentioning

confidence: 99%

Weather, Vol. 79, no. 1, January 2024, pp. 2‐36

2024

Weather

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Section: Introductionmentioning

confidence: 99%

Weather, Vol. 79, no. 1, January 2024, pp. 2‐36

2024

Weather

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show abstract

“…Previous studies have shown that the intensification and the track of a cyclone are highly affected by SST (Lau et al ., 2016; Pytharoulis, 2018; Stathopoulos et al ., 2020). Moreover, SST anomalies have been found to have a significant impact on tornadic supercells (Miglietta et al ., 2017), the spatiotemporal distribution and intensity of precipitation extremes (Meredith et al ., 2015; Andrea et al ., 2018; Hatsuzuka and Sato, 2022) and on snowfall (Ghafarian et al ., 2021). Quantifying the influence of SST on severe weather is critical for enhancing risk mitigation strategies and predictability, particularly in the light of the ongoing climate crisis.…”

Section: Introductionmentioning

confidence: 99%

The eastern Mediterranean extreme snowfall of January 2022: synoptic analysis and impact of sea‐surface temperature

Πατλάκας

Chaniotis

Hatzaki

et al. 2023

Weather

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“…However, the dynamics of snow depth and extreme snowy events' response to mean global change might be different from that of average snowfall and snow cover [10][11][12]. Global warming intensifies the atmospheric water cycle and causes a substantial increase in extreme precipitation, including extreme snowfall in winter [13][14][15]. Snow depth is a practical indicator to represent the extent of extreme snowfall threatening construction safety, crop growing, and animal husbandry production [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Investigating Extreme Snowfall Changes in China Based on an Ensemble of High-Resolution Regional Climate Models

et al. 2023

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Anthropogenically induced global warming intensifies the water cycle around the world. As a critical sector of the water cycle, snow depth and its related extremes greatly impact agriculture, animal husbandry, and food security, yet lack investigation. In this study, five high-resolution climate models are selected to simulate and project snow depth and its extremes over China. The simulation capabilities of models in reproducing the basic climate variables in winter are gauged in terms of spatial and temporal patterns over nine subregions. It is found that the driving global climate model (GCM) can contribute to similar patterns, while the different regional climate model (RCM) schemes lead to large variations in the snowfall accumulating on the land surface. The warming magnitude is larger under a higher representative concentration pathway (RCP) scenario (2.5 °C greater under RCP8.5 than RCP4.5). The distribution of ensemble mean winter precipitation changes is more fragmented because of the relatively low skill in reproducing water-related content in the climate system. The projected precipitation change is larger under RCP8.5 than under RCP4.5 due to the amplification of the hydrological cycle by temperature warming. The projected changes in the ensemble mean snow depth mainly occur over the Tibetan Plateau with a decreasing trend. Only several grids over the Himalayas Mountains and the upper stream of the Yarlung Zangbo River are projected with a slight increase in snow depth. Both the intensity and frequency of extreme snow events are projected to increase in Northeast China and Inner Mongolia, which are important agricultural and animal husbandry production areas in China. The reason behind this projection can be explained by the fact that the hydrological cycle intensified by temperature warming leads to excessive snowfall stacking up during winter. The changes in extreme snowfall events in the future will have a significant impact on China’s agricultural and animal husbandry production and threaten food security.

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Simulation of the role of Caspian Sea surface temperature and air temperature on precipitation intensity in lake-effect snow

Cited by 6 publications

References 36 publications

Weather, Vol. 79, no. 1, January 2024, pp. 2‐36

Weather, Vol. 79, no. 1, January 2024, pp. 2‐36

The eastern Mediterranean extreme snowfall of January 2022: synoptic analysis and impact of sea‐surface temperature

Investigating Extreme Snowfall Changes in China Based on an Ensemble of High-Resolution Regional Climate Models

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