inria-00373469, version 1

Data assimilation of OMI NO2 observations for improving air quality forecast over Europe

Xiaoni Wang () ^1, 2, Vivien Mallet () ^1, 2, Jean-Paul Berroir () ^1, 2, Isabelle Herlin () ^1, 2

N° RR-6884 (2009)

• 1:  CLIME (INRIA Rocquencourt)
• https://www.rocq.inria.fr/clime/
  INRIA – Ecole des Ponts ParisTech France
• 2:  Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA)
• http://www.enpc.fr/cerea/fr/
  EDF – Ecole des Ponts ParisTech Cité Descartes 19 rue Alfred Nobel 77455 Marne la Vallée cedex 2 France

Bibliographic reference

• Type of document: Research reports
• Domain: Computer Science/Numerical Analysis
• Title: Data assimilation of OMI NO2 observations for improving air quality forecast over Europe
• Abstract: This paper concerns the improvements of NO2 forecast due to satellite data assimilation. The Ozone Monitoring Instrument (OMI) aboard NASA Aura satellite provides observations of NO2 columns for air quality study. These satellite observations are assimilated, with the optimal-interpolation method, in an air quality model from Polyphemus, in order to improve NO2 forecasts in Europe. Good consistency is seen in the comparisons of model simulations, satellite data and ground observations before assimilation. The model results with and without assimilation are then compared with ground observations for evaluating the assimilation effects. It is found that in winter the errors between model data and ground observations have been reduced after assimilation, indicating a better NO2 forecast can be obtained using satellite observations. Such improvements are not found in summer, which is probably due to the shorter life time and higher temporal variability of NO2 in the warmer season.
• Full text language: English
• Report type: Research Report
• Publication date: 2009
• Keywords: Air quality – data assimilation – numerical simulation – satellite observations – troposphere
• Internal note: RR-6884
• Contract, financing: INRIA
• Collaboration(s): CEREA

Attached file list to this document: 

• inria-00373469, version 1
• http://hal.inria.fr/inria-00373469
• oai:hal.inria.fr:inria-00373469
• From: Xiaoni Wang <>
• Submitted on: Wednesday, 6 May 2009 07:00:02
• Updated on: Wednesday, 6 May 2009 07:00:02