Abstract

Abstract. Partial lower tropospheric ozone columns provided by the IASI (Infrared Atmospheric Sounding Interferometer) instrument have been assimilated into a chemistry-transport model at continental scale (CHIMERE) using an Ensemble Square Root Kalman Filter (EnSRF). Analyses are made for the month of July 2007 over the European domain. Launched in 2006, aboard the MetOp-A satellite, IASI shows high sensitivity for ozone in the free troposphere and low sensitivity at the ground; therefore it is important to evaluate if assimilation of these observations can improve free tropospheric ozone, and possibly surface ozone. The analyses are validated against independent ozone observations from sondes, MOZAIC1 aircraft and ground based stations (AIRBASE – the European Air quality dataBase) and compared with respect to the free run of CHIMERE. These comparisons show a decrease in error of 6 parts-per-billion (ppb) in the free troposphere over the Frankfurt area, and also a reduction of the root mean square error (respectively bias) at the surface of 19% (33%) for more than 90% of existing ground stations. This provides evidence of the potential of data assimilation of tropospheric IASI columns to better describe the tropospheric ozone distribution, including surface ozone, despite the lower sensitivity. The changes in concentration resulting from the observational constraints were quantified and several geophysical explanations for the findings of this study were drawn. The corrections were most pronounced over Italy and the Mediterranean region, we noted an average reduction of 8–9 ppb in the free troposphere with respect to the free run, and still a reduction of 5.5 ppb at ground, likely due to a longer residence time of air masses in this part associated to the general circulation pattern (i.e. dominant western circulation) and to persistent anticyclonic conditions over the Mediterranean basin. This is an important geophysical result, since the ozone burden is large over this area, with impact on the radiative balance and air quality. 1 Measurements of OZone, water vapour, carbon monoxide and nitrogen oxides by in-service AIrbus airCraft (http://mozaic.aero.obs-mip.fr/web/).

Highlights

  • In the last decade, there has been an increased need in developing air quality standards, guidelines and strategies for air quality management

  • In view of the elements presented above, the aim of the present study was to show the potential of the Infrared Atmospheric Sounding Interferometer (IASI) data to constrain the 3-D tropospheric ozone distribution and to quantify the gain obtained by assimilating these data in a regional chemistry-transport model, CHIMERE

  • We start the results section, with some general statistics which help us to evaluate quantitatively the corrections performed on the ozone field using the IASI data

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Summary

Introduction

There has been an increased need in developing air quality standards, guidelines and strategies for air quality management. Special attention has been attached to ozone. Repetitive exposure to enhanced ozone levels can cause various health problems, mostly respiratory illnesses like bronchitis and asthma (WHO, 2003). To comply with these needs, a large variety of observational platforms has been developed: a network of ground based in situ or satellite data, ozone sondes, lidar, and commercial or research aircraft; in parallel, deterministic models (e.g. regional chemical transport model) have been developed, which take into account a large number of physical and chemical interactions between predictor variables as well as required input data (emissions, meteorology and landcover).

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