title: Investigating the performance of PBL parametrizations in WRF model for front enhanced SES simulation in istanbul megacity
abstract: Abstract 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 Wea
journal: Theoretical and Applied Climatology