Computer simulation models have been widely used to generate hydrometeorological
forecasts. As the raw forecasts contain uncertainties arising from various sources, including …

Over the past few decades, floods have been seen as one of the most common and largely
distributed natural disasters in the world. If floods could be accurately forecasted in advance …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Fusing probabilistic information is a fundamental task in signal and data processing with
relevance to many fields of technology and science. In this work, we investigate the fusion of …

集合数值模式预报已在定量降水预报业务中广泛应用, 以获得预报不确定性,
最可能预报结果以及极端天气预警. 由于集合系统的数值模式不完善, 且不能提供所有的不确定 …

ABSTRACT A problem frequently met in engineering hydrology is the forecasting of
hydrological variables conditional on their historical observations and the hindcasts and …

Ensembles of forecasts are typically employed to account for the forecast uncertainties
inherent in predictions of future weather states. However, biases and dispersion errors often …

Hydrological simulations and forecasts are subject to various sources of uncertainties.
Thiboult et al.(2016) constructed a 50,000-member great ensemble that ultimately accounts …

Statistical post-processing has been widely adopted in probabilistic forecasting, especially
when a predictive distribution of weather variables is of interest. Among the available post …

Ensemble forecasts of weather and climate are subject to systematic biases in the ensemble
mean and variance, leading to inaccurate estimates of the forecast mean and variance. To …