Probabilistic forecasting is receiving growing attention nowadays in a variety of applied
fields, including hydrology. Several machine learning concepts and methods are notably …

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 …

Brown, JD, 2013: Verification of temperature, precipitation and streamflow forecasts from the
NWS Hydrologic Ensemble Forecast Service (HEFS): Medium-range forecasts with forcing …

Evapotranspiration is a key component of the hydrologic cycle. Accurate short-, medium-,
and long-term forecasts of actual evapotranspiration (ET a) are crucial not only for …

Missing values in water level data is a persistent problem in data modelling and especially
common in developing countries. Data imputation has received considerable research …

Missing value in hydrological studies is an unexceptional riddle that has long been
discussed by researchers. There are various patterns and mechanisms of “missingness” that …

Prediction of dynamic environmental variables in unmonitored sites remains a long-standing
challenge for water resources science. The majority of the world's freshwater resources have …

This study describes a System for Continuous Hydrological Ensemble Forecasting (SCHEF)
designed to forecast streamflows to lead times of 9 days. SCHEF is intended to support …

The present study shows experiments of ensemble forecasting applied to a large tropical
river basin, where such forecasting methodologies have many potential applications. The …

Challenge remains to find the optimal carryover storage to balance the immediate and
carryover utilities for long-term hydropower reservoir operation due to low forecast accuracy …