Copula based post-processing for improving the NMME precipitation forecasts

Copula based post-processing for improving the NMME precipitation forecasts

Using reliable and timely precipitation forecasts on a monthly or seasonal scale could be useful in many water resources management planning, especially in countries facing drought challenges. Amongst many, the North American Multi-Model Ensemble (NMME) is one of the most well-known models. In this...

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Bibliographic Details
Main Authors: Farhad Yazdandoost, Mina Zakipour, Ardalan Izadi
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Heliyon
Subjects:
Copula
NMME
Post-processing
Precipitation forecast
Semi-parametric distribution
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021019800

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http://www.sciencedirect.com/science/article/pii/S2405844021019800

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