Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Using Objective Analysis for the Assimilation of Satellite Derived Aerosol Products to Improve PM2.5 Predictions over Europe

Version 1 : Received: 21 April 2022 / Approved: 27 April 2022 / Online: 27 April 2022 (11:32:49 CEST)

A peer-reviewed article of this Preprint also exists.

Chrit, M.; Majdi, M. Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe. Atmosphere 2022, 13, 763. Chrit, M.; Majdi, M. Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe. Atmosphere 2022, 13, 763.

Journal reference: Atmosphere 2022, 13, 763
DOI: 10.3390/atmos13050763

Abstract

We used the objective analysis method in junction with the successive correction method to assimilate MODerate resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) data into Chimère model in order to improve the modeling of fine particulate matter (PM2.5) concentrations and AOD field over Europe. A data assimilation module was developed to adjust the daily initial total column aerosol concentrations based on a forecast-analysis cycling scheme. The model is then evaluated during one-month winter period to examine how such data assimilation technique pushes the model results closer to surface observations. This comparison showed that the mean biases of both surface PM2.5 concentrations and AOD field could be reduced from -34 to -15% and from -45 to -27%. The assimilation however leads to false alarms because of the difficulty to distribute AOD550 over different particles sizes. The impact of the influence radius is found to be small and depends on the density of satellite data. This work, although preliminary, is important in terms of near-real time air quality forecasting using Chimère model and can be further developed to improve modeled PM2.5 and ozone concentrations.

Keywords

PM2.5; Aerosol Optical Depth; Data assimilation; MODIS; satellite data; Objective analysis

Subject

EARTH SCIENCES, Atmospheric Science

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