Satellite Data Assimilation of Air Quality Parameters in Bulgaria
Satellite Data Assimilation of Air Quality Parameters in Bulgaria

Author(s): Dimiter Syrakov, Maria Prodanova, Emilia Georgieva
Subject(s): Economy, National Economy, Supranational / Global Economy, Business Economy / Management, Energy and Environmental Studies
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Modelling air quality; satellite retrieve data; GOME-2; MetOP satellites; data assimilation
Summary/Abstract: he operational Bulgarian Chemical Weather Forecast System (BgCWFS) was modified and applied for assimilation of satellite retrieved atmospheric chemistry parameters - Aerosol Optical Depth (AOD) and columnar values of NO2 and SO2. The work outlines the methodology based on calculation of correction factors between model estimated and satellite derived parameters. Two model simulations for August 2017 and February 2019 are made – Model Run (without satellite data assimilation – mod-run) and Satellite Run (with satellite data assimilation – sat-run) for all 5 domains of BgCWFS. In the paper the effect of the assimilation is demonstrated stressing mainly on the difference between sat- and mod-runs. The comparison of sat-run results with observations and with third party modelling results are object of other publications.

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