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MACC-II,III, Monitoring Atmospheric Composition and Climate, is the current pre-operational Copernicus Atmosphere Monitoring Service (CAMS). It provides data records on atmospheric composition for recent years, present conditions and forecasts (a few days ahead). To support the quality assessment of the CAMS products, the EU FP7 project Network Of ground-based Remote-Sensing Observations (NORS) created a server to validate the gridded MACC-II,III/CAMS model data against remote-sensing observations from the Network for the Detection of Atmospheric Composition Change (NDACC), for a selected set of target species and pilot stations. This paper describes in detail the algorithms used in this validation server. Amongst others, the algorithms take into account the horizontal displacement of the measured profiles from the location of the instrument, the vertical averaging and uncertainty propagation. [ABSTRACT FROM AUTHOR]

MACC-II,III, Monitoring Atmospheric Composition and Climate, is the current pre-operational Copernicus Atmosphere Monitoring Service (CAMS). It provides data records on atmospheric composition for recent years, present conditions and forecasts for a few days ahead. To support the quality assessment of the CAMS products, the EU FP7 project NORS created a server to validate the gridded MACC-II,III/CAMS model data against remote-sensing observations from the Network for the Detection of Atmospheric Composition Change (NDACC), for a selected set of target species and pilot stations. This paper describes in detail the algorithms used in this validation server. [ABSTRACT FROM AUTHOR]

The article presents a study which discusses the use of two scientific and one operational retrieval algorithms in obtaining vertical distributions of bromine monoxide (BrO) from SCIAMACHY limb instruments. It mentions on the theoretical basis of all algortihms and investigates retrieval sensitivity. It states that the authors analyze the key sources of uncertainties in the BrO profiles using synthetic retrievals.

The article presents a study on scientific and operational retrieval algorithms to obtain vertical distributions of bromine monoxide (BrO) from the scattered solar light by Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) in limb viewing geometry. The study discusses the theoretical basis of all algorithms and investigates on retrieval sensitivity. The study notes that the reliability of SCIAMACHY BrO profile retrievals is compared with different algorithms.

The article presents a study on the recovery of aerosol optical attributes in several wavelengths of ground-based multi-axis differential absorption spectroscopy (MAXDOAS) in Beijing, China. The study involves the application of inversion algorithm at multiple wavelengths and calculation of aerosol optical depths (AODs). It assumes the correction factor in the measured differential slant column densities (DSCDs). Results of the study reveal the high quality of tetraoxygen (4) DSCDs.