Frank Baier

TL;DR: In this paper, an eight-year long reanalysis of atmospheric composition data covering the period 2003-2010 was constructed as part of the FP7-funded Monitoring Atmospheric Composition and Climate project by assimilating satellite data into a global model and data assimilation system.

TL;DR: In this paper, an evaluation is made of ozone profiles retrieved from measurements of the nadir-viewing Global Ozone Monitoring Experiment (GOME) instrument, which differ in the use of external information and a priori constraints and is concluded that unambiguous information on the ozone profile can at best be retrieved in the altitude range 15-48 km with a vertical resolution of 10 to 15 km, precision of 5-10%, and a bias up to 5% or 20% depending on the success of recalibration of the input spectra.

TL;DR: In this paper, the authors evaluated and compared the ozone analyses produced by four different chemical data assimilation (CDA) systems: the Integrated Forecast System coupled to the Model for OZone And Related chemical Tracers (IFS-MOZART), the Belgian Assimilation System for Chemical ObsErvations (BASCOE), the Synoptic Analysis of Chemical Constituents by Advanced Data Assimilation (SACADA), and the data Assimilation Model based on Transport Model version 3 (TM3DAM).

TL;DR: In this paper, a machine learning approach is used to estimate surface NO2 concentrations over Germany using satellite data and several meteorological parameters, which is validated against ground-based in situ air quality monitoring network measurements and regional chemical transport model (CTM) simulations.

TL;DR: In this paper, an analysis of the severe weather event in November 2001 over the western Mediterranean is presented focusing on satellite-based trace gas measurements from the Global Ozone Monitoring Experiment (GOME) on board the European Remote Sensing Satellite (ERS-2).