Seasonal drought prediction: Advances, challenges, and future prospects

Z Hao, VP Singh, Y ** for postprocessing GCM precipitation forecasts?
T Zhao, JC Bennett, QJ Wang, A Schepen… - Journal of …, 2017 - journals.ametsoc.org
How Suitable is Quantile Map** For Postprocessing GCM Precipitation Forecasts? in: Journal
of Climate Volume 30 Issue 9 (2017) Jump to Content Logo Logo Logo Logo Logo Logo …

Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts

L Crochemore, MH Ramos… - Hydrology and Earth …, 2016 - hess.copernicus.org
Meteorological centres make sustained efforts to provide seasonal forecasts that are
increasingly skilful, which has the potential to benefit streamflow forecasting. Seasonal …

A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting

G Papacharalampous, H Tyralis - Frontiers in Water, 2022 - frontiersin.org
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied
fields, including hydrology. Several machine learning concepts and methods are notably …

Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes

Z Huang, T Zhao - Wiley Interdisciplinary Reviews: Water, 2022 - Wiley Online Library
Predictive performance is one of the most important issues for practical applications of
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …