Abstract This study aims to examine the mechanisms that drive extreme heat events in Siberia during boreal spring. The results from this suggest upper-level atmospheric waves across Eurasia induced by warm sea surface temperature (SST) eastern North Atlantic and large snow melting southern are responsible for a increase Siberia. These suggested examined both observed data analysis ideal numerical model simulations, which reasonably explain record-breaking 1997 2020. Future climate change...

This study investigates the predictability of 2018 Northern Europe heatwave using GloSea5 forecast model from perspective land-atmosphere interactions. We focus on an inverse relationship wherein soil drying leads to increased temperatures and model's ability simulate this hypersensitivity in moisture-temperature coupling dry side a breakpoint defined as moisture threshold below which land feedbacks nonlinearly amplify extreme heat. When evaluating performance predicting heatwave, we compare...

This study investigates the predictability of 2018 Northern Europe heatwave using GloSea5 forecast model from perspective land-atmosphere coupling processes. Soil moisture and temperature have an inverse relationship with soil drying leading to increased temperatures. exhibits nonlinearity when hypersensitivity in moisture-temperature arises on dry side a breakpoint, defined as threshold below which land feedbacks strongly amplify extreme heat. When evaluating performance predicting this...

This study suggests a methodology for probabilistic forecasts of the extreme heat events in East Asia based on an operational global ensemble prediction used by Korea Meteorological Administration (KMA). It focuses medium range up to 11 days, providing probabilities heatwave and tropical night occurrence each day. Forecast validation summer from 2016 2021 shows that deterministic forecast provides 5 days optimal range, while can extend practically predictable 10 Korean Peninsula 7 Japan,...

Abstract This study analyzed the causes of extreme heatwave in East Asia 2018, which brought a record-breaking event South Korea terms number hot days and intensity history. Long-lasting atmospheric patterns were observed during 2018 heatwave, similar to those known as Pacific–Japan (PJ), circum-global teleconnection (CGT), Arctic Oscillation (AO) identified previous study. In all three appeared exhibit strong positive phase. particular, PJ AO Indices showed highest values within analysis...

Abstract. Snow water equivalent (SWE), as one of the land initial or boundary conditions, plays a crucial role in global regional energy and balance, thereby exerting considerable impact on seasonal subseasonal-scale predictions owing to its enduring persistence over 1 2 months. Despite importance, most SWE initialization remains challenging due reliance simple approaches based spatially limited observations. Therefore, this study developed an advanced data assimilation framework with...

This study suggests a methodology for probabilistic forecast of the extreme heat events in East Asia based on an operational global ensemble prediction used by Korea Meteorological Administration (KMA). It focuses medium range up to 11 days, providing probability occurrence heatwave and tropical night each day during 2016 2021 summer.. From Summer, optimal forecasting The deterministic provides 5 days while using can extend predictable 9 Korea, respectively.Comparing skill night, indicating...

Abstract. The advanced snow data assimilation is developed in this study with satellite remote-sensing retrievals of water equivalent(SWE) and cover fraction(SCF) utilizing the local ensemble transform Kalman filter based on Joint U.K. Land Environment Simulator(JULES) land model. system assimilates SWE from Advanced Microwave Scanning Radiometer 2(AMSR2) SCF Interactive Multisensor Snow Ice Mapping System(IMS) during April 2013–2020. performance evaluated by validations independent products...