Seasonal drought prediction: Advances, challenges, and future prospects
Z Hao, VP Singh, Y ** for postprocessing GCM precipitation forecasts?
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 …
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 …
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
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied
fields, including hydrology. Several machine learning concepts and methods are notably …
fields, including hydrology. Several machine learning concepts and methods are notably …
Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes
Predictive performance is one of the most important issues for practical applications of
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …