Climatology and extreme cases of sea‐effect snowfall on the southern Baltic Sea coast

Bednorz, Ewa; Czernecki, Bartosz; Tomczyk, Arkadiusz M.

doi:10.1002/joc.7546

Cited by 3 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent study by Bednorz et al . (2022) produced climatology of extreme cases of sea‐effect snowfall on the southern Baltic Sea coast. They found out that temperature difference between SST and T850 was over 15°C when snowfall accumulated at least 20 cm/2 day of new snow.…”

Section: Discussionmentioning

confidence: 99%

“…Climatology of extreme snowfall cases (>20 cm/2 day) on the Polish Baltic Sea coast for 1981–2020 revealed that most of those cases resulted from sea‐effect snowfall (Bednorz et al ., 2022). In addition, occurrence of atmospheric parameters favouring snowband formation in the east coast of Sweden have been studied from 1970 to 2099 with the aid of a coupled regional atmosphere‐ice‐ocean model RCA4‐NEMO (Dieterich et al ., 2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Climatology of sea‐effect snow in Finland

Olsson

Luomaranta

Nyman

et al. 2022

Intl Journal of Climatology

View full text Add to dashboard Cite

Convective sea‐effect snowfall, in the form of snowbands, is observed over the northern Baltic Sea annually. Quasi‐stationary snowbands may last up to several days over the sea and, depending on the wind direction, move towards the coast. This study provides climatology of spatial and temporal occurrence of snowbands in Finland for a 48‐year period (1973–2020). We used a set of detection criteria together with ERA5 reanalysis at off‐shore areas and FMIClimGrid gridded observational data for on‐shore areas to find the days favouring snowband formation. Only those snowband days (SBD) when snow reached the Finnish coastal mainland were considered. The total annual number of SBDs in Finland varied from 6 to 40 with an average of 16. SBDs were detected most frequently over the Gulf of Bothnia near the western coast of the country. The largest increase in snow depth (SDI) during an SBD (67 cm/day) also took place on the western coast, although the long‐term mean of SDI (3–5 cm/day) was highest over the southern coast. Throughout the country, November and December showed the highest frequency of SBDs. However, between the periods 1973–1996 and 1997–2020, the seasonal cycle of SBDs shifted 1 month forward from late autumn to mid‐winter as the decrease in the number of SBDs during December as well as the increase during January and February were statistically significant in Finland. In northern Baltic Sea, long‐term increases in monthly means of sea surface temperature (SST) and air temperature at the atmospheric level of 850 hPa (T850) were in line with the decadal changes in the occurrence of SBDs. The increasing trend in SST favours the formation of snowbands but in late autumn the probability for snowband formation decreased because even larger increases in T850 resulted in diminishing differences between SST and T850.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Climatology of sea‐effect snow in Finland

Olsson

Luomaranta

Nyman

et al. 2022

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

Investigating the performance of PBL parametrizations in WRF model for front enhanced SES simulation in istanbul megacity

KARA,

Özdemir

2024

Theor Appl Climatol

View full text Add to dashboard Cite

Sea-effect snow (SES) is a meteorological phenomenon resulting from cold air moving over warmer waters. Accurate prediction of SES is vital for emergency management, transportation, and water resource planning. A thundersnow event in Istanbul from 17–19 February 2015 caused significant disruptions, with traffic and flights affected, highways temporarily closed, and trees falling due to heavy snowfall. This study investigates the influence of different parameterization schemes in the Weather Research and Forecasting (WRF) model on SES simulations. Six distinct PBL parameterization schemes were used in a series of WRF simulations. In addition, the following factors pivotal to SES event have also been investigated: 1000–500 hPa thickness, total and latent heat fluxes, radar and satellite analyses, temperature gradients, wind shear, inversion levels, and atmospheric stability indices. Additionally, the formation of SES during the cold front transition further contributed to these elements in the Black Sea region. The simulations displayed notably high total heat flux and latent heat flux values, particularly following the passage of the cold front. Furthermore, the northeast-southwest oriented SES cloud, distinguished by its banded structure, was successfully validated using radar and satellite imagery. However, it's worth noting that the model positioned it farther west than its actual location. This study highlights the challenges in precise prediction and analysis of such convective activities. In this thundersnow event, the local closure schemes, particularly MYNN in first place and second MYJ, demonstrated superior performance compared to non-local schemes within the parameterization options.

show abstract

The impact of circulation types and their changing thermal properties on the probability of days with snowfall and rainfall in Poland, 1966–2020

Łupikasza,

Małarzewski,

Pham

2024

View full text Add to dashboard Cite

The frequency of snowfall and rainfall is expected to change due to the warming climate. However, trends in liquid and solid phases are not linearly related to air temperature trends. This paper discusses the impact of thermal properties of circulation types (CTs) on the trends in snowy and rainy days in Poland in the period 1966–2020. The visual observations from 42 synoptic stations, which constitute the most-reliable information on precipitation type, were used to identify the precipitation phase. In most CTs, the air temperature increased between 1966–1985 and 2001–2020, but at various rates depending on the type of circulation. Positive tendencies in the thermal properties of CTs contributed to decreasing trends in winter snowfall and increasing trends in winter rainfall. The rate of tendencies in the probability of the precipitation phases depended on the average temperature and the intensity of warming, in particular CTs. In winter, both the snowfall and rainfall tendencies were the strongest for those CTs with average air temperatures (ATs) close to the freezing point, particularly when the average had crossed that threshold between the years 1966–1985 and 2001–2020. The most rapid tendencies in winter snowfall and rainfall, and in the spring mixed phase were induced by N and NW air advection under cyclonic conditions, bringing air from the rapidly warming Arctic. No trends in the winter mixed precipitation probability resulted from its various tendencies in particular CTs. The probability of snowfall increased during air advection from the southeastern sector, particularly in winter.

show abstract

Climatology and extreme cases of sea‐effect snowfall on the southern Baltic Sea coast

Cited by 3 publications

References 51 publications

Climatology of sea‐effect snow in Finland

Climatology of sea‐effect snow in Finland

Investigating the performance of PBL parametrizations in WRF model for front enhanced SES simulation in istanbul megacity

The impact of circulation types and their changing thermal properties on the probability of days with snowfall and rainfall in Poland, 1966–2020

Contact Info

Product

Resources

About