The project FDR4ATMOS (Fundamental Data Records in the domain of satellite Atmospheric Composition) has been initiated by the European Space Agency (ESA). Task A of the project covers the improvement of the SCIAMACHY Level 1b degradation correction, with the aim to remove ozone trends from the SCIAMACHY Level 2 data set that were introduced during the development of baseline version 9 (both data sets not released). We will also, for the first time, add calibrated lunar data to Level 1, covering the whole spectral range of SCIAMACHY and the full mission time. The SCIAMACHY processing chain for better Ozone total column data: After the full re-processing of the SCIAMACHY mission with the updated processor versions, the validation showed that the total Ozone column drifted downward by nearly 2% over the mission lifetime. This drift is likely caused by changes in the degradation correction in the Level 1 processor, that led to subtle changes in the spectral structures. These are misinterpreted as an atmospheric signature. We updated the Level 0-1 processor accordingly and a full mission re-processing was done. As a major improvement we additionally incorporated calibrated lunar data in the SCIAMACHY Level 1b product. In the new Level 1b product we will provide the individual scans of the moon as well as disk integrated and calibrated lunar irradiance and reflectance. The instrument performed regular lunar observations building up a unique 10 year data set of lunar spectra from the UV to the SWIR with moderately high spectral resolution. SCIAMACHY scanned the full lunar disk and over the ten year mission time made 1123 observations of the moon. Most satellites can only observe the moon under very specific geometries due to instrument-viewing and orbit restrictions. SCIAMACHY, however, with a two mirror pointing system was much less constrained and was able to observe the moon under an extreme large variation of geometries (especially during dedicated lunar observation campaigns), allowing it thus potentially to tie different satellites and geometry observations together. During the individual lunar observations, SCIAMACHY only saw a small slice of the Moon and scanned over the moon in order to obtain data for the full disk. We combined the individual calibrated scans, correcting for scan speed and the fact the Moon does not fill the entire slit length. The calculation of distance-normalized lunar reflectances did not require an external solar spectrum, but used solar measurements of SCIAMACHY itself. This version of Level 1 will also be the first one that replaces the ENVISAT byte stream format with the netCDF format that is aligned with the product format of other atmospheric sensors like the Sentinels The paper will present the improvements of the Level 1 product, the results of the quality control and validation.