TY - CONF
T1 - Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter
AU - Agudelo, Oscar Mauricio
AU - Barrero, Oscar
AU - Péter, Viaene
AU - De Moor, Bart
PY - 2011/12/1
Y1 - 2011/12/1
N2 - This paper presents the results of using the Ensemble Kalman Filter (EnKF) for improving the ozone estimations of the air quality model AURORA. The EnKF is built around a stochastic formulation of the model, where some of its parameters are assumed to be uncertain. These uncertainties turn out to be the main reason behind the differences between the model predictions and the real measurements. The filter estimates these parameters as well as the ozone concentration field by using ground-based measurements from the Airbase database. The assimilation experiments are carried out over a region that consists of Belgium, Luxembourg, and some small parts of Germany, France and the Netherlands. The simulations results show that the EnKF significantly reduces the error of the ozone estimations. © 2011 IEEE.
AB - This paper presents the results of using the Ensemble Kalman Filter (EnKF) for improving the ozone estimations of the air quality model AURORA. The EnKF is built around a stochastic formulation of the model, where some of its parameters are assumed to be uncertain. These uncertainties turn out to be the main reason behind the differences between the model predictions and the real measurements. The filter estimates these parameters as well as the ozone concentration field by using ground-based measurements from the Airbase database. The assimilation experiments are carried out over a region that consists of Belgium, Luxembourg, and some small parts of Germany, France and the Netherlands. The simulations results show that the EnKF significantly reduces the error of the ozone estimations. © 2011 IEEE.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860666431&origin=inward
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U2 - 10.1109/CDC.2011.6160444
DO - 10.1109/CDC.2011.6160444
M3 - Paper
SP - 4430
EP - 4435
T2 - Proceedings of the IEEE Conference on Decision and Control
Y2 - 1 December 2011
ER -