Authors:
Isabell Krisch | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Germany
Dr. Oliver Reitebuch | DLR | Germany
Dr. Jonas von Bismarck
Dr. Tommaso Parrinello | ESA - ESRIN | Italy
Michael Rennie | European Centre for Medium-Range Weather Forecasts (ECMWF) | Afghanistan
Fabian Weiler | Institute für Physik der Atmosphäre, DLR
Dr. Dorit Huber | DoRIT
Jos de Kloe | Royal Netherlands Meteorological Institute (KNMI)
Dr. Gerd-Jan van Zadelhoff | Royal Netherlands Meteorological Institute (KNMI) | Netherlands
Dr. David Patrick Donovan | Royal Netherlands Meteorological Institute (KNMI) | Netherlands
Alain Dabas | CNRM (CNRS/Météo-France)
Dr. Sebastian Bley | Leibniz Institute for Tropospheric Research (TROPOS)
Massimo Romanazzo | Germany
Dr. Anne Grete Straume-Lindner | European Space Agency (ESA-ESTEC)
The Aeolus DISC (Data, Innovation, and Science Cluster) is a core element in ESA's data quality framework for the Aeolus mission, comprised of an international expert consortium to study and improve the data quality of Aeolus products. The tasks of the Aeolus DISC are various and include among others the instrument and data quality monitoring, the calibration and characterization of the instrument, and the refinement of the retrieval algorithms and the processor evolution. Additionally, the Aeolus DISC supports ESA with data reprocessing campaigns, provides support to data users and performs impact assessment studies.
The Aeolus DISC's mission experts and expert centres have long track records in supporting and contributing to Aeolus, covering instrumental aspects, laser-atmosphere interaction, calibration and validation (e.g. aircraft campaigns), wind product and processor development, as well as the development of optical, aerosol and cloud processors and products.
In this presentation, we will summarize the achievements of the Aeolus DISC for the data quality of the various Aeolus products. We will especially focus on how the constant instrument and data monitoring supported the evolution of the Aeolus processing chain. Past, present and future processor changes will be described and their impact on Aeolus NRT and reprocessed data quality will be illustrated.
Various processor improvements, developed by the Aeolus DISC after launch, lead to a drastic reduction of the systematic bias of the Aeolus wind products down to below 1 m/s on a global scale. Examples of such processor improvements are the hot pixel correction for enhanced dark current rates observed on the Aeolus detectors (Weiler et al., 2021a) and a correction for thermal changes of the instrument’s large telescope along the orbit (Weiler et al., 2021b).
Additionally, for aerosol and cloud retrievals, current processors were optimized and new processing routines were developed (Flament et al., 2021, and Ehlers et al., 2021). In particular, this includes a new feature mask and an optimal estimation retrieval based on EarthCare algorithms. Both products will be fully functional for the spring 2022 baseline release.
Weiler, F., Kanitz, T., Wernham, D., Rennie, M., Huber, D., Schillinger, M., Saint-Pe, O., Bell, R., Parrinello, T., and Reitebuch, O.: Characterization of dark current signal measurements of the ACCDs used on board the Aeolus satellite, Atmos. Meas. Tech., 14, 5153–5177, https://doi.org/10.5194/amt-14-5153-2021, 2021a.
Weiler, F., Rennie, M., Kanitz, T., Isaksen, L., Checa, E., de Kloe, J., Okunde, N., and Reitebuch, O.: Correction of wind bias for the lidar on board Aeolus using telescope temperatures, Atmos. Meas. Tech., 14, 7167–7185, https://doi.org/10.5194/amt-14-7167-2021, 2021b.
Flament, T., Trapon, D., Lacour, A., Dabas, A., Ehlers, F., and Huber, D.: Aeolus L2A Aerosol Optical Properties Product: Standard Correct Algorithm and Mie Correct Algorithm, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-181, in review, 2021.
Ehlers, F., Flament, T., Dabas, A., Trapon, D., Lacour, A., Baars, H., and Straume-Lindner, A. G.: Optimization of Aeolus Optical Properties Products by Maximum-Likelihood Estimation, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-212, in review, 2021.