Skewed and Mixture of Gaussian Distributions for Ensemble Postprocessing
The implementation of statistical postprocessing of ensemble forecasts is increasingly developed among national weather services. The so-called Ensemble Model Output Statistics (EMOS) method, which consists of generating a given distribution whose parameters depend on the raw ensemble, leads to sign...
Main Author: | Maxime Taillardat |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/12/8/966 |
Similar Items
-
Evaluation of parametric postprocessing of ensemble precipitation forecasts of the NCMRWF for the Vishwamitri River Basin
by: Rashmi Yadav, et al.
Published: (2023-03-01) -
Machine learning for postprocessing ensemble streamflow forecasts
by: Sanjib Sharma, et al.
Published: (2023-01-01) -
Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile
by: Mailiu Díaz, et al.
Published: (2020-01-01) -
A spatial postprocessing method of precipitation forecast based on ECMWF ensemble predication system and application effect evaluation
by: Yixiao FU, et al.
Published: (2023-06-01) -
A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble
by: Stefano Alessandrini, et al.
Published: (2023-03-01)