@inproceedings{e398de311c594a1d9fac8f7f2b4bef97,
title = "An application of the schaake shuffle technique to generate space-time consistent AQ predictions",
abstract = "Several statistical methods used to generate ensemble forecast of air pollutants or different meteorological variables do not represent accurately the covariance between neighbouring stations or temporal correlation between subsequent lead times. Probabilistic predictions of O3 and PM2.5 surface concentrations over the U.S. are generated with the analog ensemble (AnEn) technique. The ensemble members provided by AnEn are statistically indistinguishable and they are generated without space-time correlation. We apply the Schaake Shuffle technique to reorder the ensemble members and recover space-time variability of PM2.5 and O3 forecast time-series.",
keywords = "Air quality ensemble forecasting, Analog Ensemble, Schaake Shuffle",
author = "S. Alessandrini and \{Delle Monache\}, L. and Irina Djalalova and Jim Wilczak",
note = "Publisher Copyright: {\textcopyright} 2018 Hungarian Meteorological Service. All Rights Reserved.; 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2016 ; Conference date: 09-05-2016 Through 12-05-2016",
year = "2016",
language = "English",
series = "HARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings",
publisher = "Hungarian Meteorological Service",
pages = "663--665",
editor = "Zita Ferenczi and Laszlo Bozo and Puskas, \{Marta T.\}",
booktitle = "HARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings",
address = "Hungary",
}