This study evaluates the performance of dynamical downscaling of global prediction
generated from the NOAA Climate Forecast System (CFSv2) at subseasonal time-scale …

The Arctic environment is changing, increasing the vulnerability of local communities and
ecosystems, and impacting its socio-economic landscape. In this context, weather and …

This study investigates the influence of tropical sea‐surface temperature (SST) on
subseasonal precipitation variability and predictability in the Middle East. With this aim, we …

This study examines sub-seasonal precipitation anomalies, challenging to predict yet vital
for society and the environment. Focusing on October, we investigate correlations between …

A skillful prediction of precipitation has great value, particularly for regions that suffer from
water stress. In this study, we assess the potential predictability and skill of the Copernicus …

Producing high-quality forecasts of key climate variables, such as temperature and
precipitation, on subseasonal time scales has long been a gap in operational forecasting …

This paper analyzes the relationships between the circulation regimes of the 500-hPa height
(z500) and 250-hPa zonal winds (u250) in the Pacific–North America region during boreal …

Sea surface temperature (SST) prediction based on the multi-model seasonal forecast with
numerous ensemble members have more useful skills to estimate the possibility of climate …

In this paper, we contribute the Parallel Ensemble foreCAst coNtrol (PECAN) algorithm to
enhance multi-objective water systems control through the integration of Ensemble Forecast …

Forecasting on subseasonal-to-seasonal timescales and beyond requires accurate
initialization of both the atmosphere and ocean. However, skillful prediction is limited by the …