Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7167-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-7167-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Correction of wind bias for the lidar on board Aeolus using telescope temperatures
Fabian Weiler
CORRESPONDING AUTHOR
Institut für Physik
der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
Michael Rennie
Research Department, European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading RG2 9AX, United Kingdom
Thomas Kanitz
European Space Agency-ESTEC, Keplerlaan 1, Noordwijk 2201 AZ, The
Netherlands
Lars Isaksen
Research Department, European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading RG2 9AX, United Kingdom
Elena Checa
European Space Agency-ESTEC, Keplerlaan 1, Noordwijk 2201 AZ, The
Netherlands
Jos de Kloe
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297,
De Bilt 3731 GA, The Netherlands
Ngozi Okunde
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297,
De Bilt 3731 GA, The Netherlands
Oliver Reitebuch
Institut für Physik
der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
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Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, Andreas Schäfler, and Fabian Weiler
Atmos. Meas. Tech., 15, 7049–7070, https://doi.org/10.5194/amt-15-7049-2022, https://doi.org/10.5194/amt-15-7049-2022, 2022
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In August 2018, the first wind lidar Aeolus was launched into space and has since then been providing data of the global wind field. The primary goal of Aeolus was the improvement of numerical weather prediction. To verify the quality of Aeolus wind data, DLR performed four airborne validation campaigns with two wind lidar systems. In this paper, we report on results from the two later campaigns, performed in Iceland and the tropics.
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Atmos. Meas. Tech., 15, 1465–1489, https://doi.org/10.5194/amt-15-1465-2022, https://doi.org/10.5194/amt-15-1465-2022, 2022
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In August 2018, the ESA launched the first Doppler wind lidar into space. In order to calibrate the instrument and to monitor the overall instrument conditions, instrument spectral registration measurements have been performed with Aeolus on a weekly basis. Based on these measurements, the alignment drift of the Aeolus satellite instrument is estimated by applying tools and mathematical model functions to analyze the spectrometer transmission curves.
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Atmos. Meas. Tech., 15, 1303–1331, https://doi.org/10.5194/amt-15-1303-2022, https://doi.org/10.5194/amt-15-1303-2022, 2022
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The article discusses modifications in the wind retrieval of the ALADIN Airborne Demonstrator (A2D) – one of the key instruments for the validation of Aeolus. Thanks to the retrieval refinements, which are demonstrated in the context of two airborne campaigns in 2019, the systematic and random wind errors of the A2D were significantly reduced, thereby enhancing its validation capabilities. Finally, wind comparisons between A2D and Aeolus for the validation of the satellite data are presented.
Oliver Lux, Christian Lemmerz, Fabian Weiler, Thomas Kanitz, Denny Wernham, Gonçalo Rodrigues, Andrew Hyslop, Olivier Lecrenier, Phil McGoldrick, Frédéric Fabre, Paolo Bravetti, Tommaso Parrinello, and Oliver Reitebuch
Atmos. Meas. Tech., 14, 6305–6333, https://doi.org/10.5194/amt-14-6305-2021, https://doi.org/10.5194/amt-14-6305-2021, 2021
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The work assesses the frequency stability of the laser transmitters on board Aeolus and discusses its influence on the quality of the global wind data. Excellent frequency stability of the space lasers is evident, although enhanced frequency noise occurs at certain locations along the orbit due to micro-vibrations that are introduced by the satellite’s reaction wheels. The study elaborates on this finding and investigates the extent to which the enhanced frequency noise increases the wind error.
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This paper reports on dark current signal anomalies of the detectors used on board the ESA's Earth Explorer satellite Aeolus during the first 1.5 years in orbit. After introducing sophisticated algorithms to classify dark current anomalies according to their characteristics, the impact of the different kinds of anomalies on wind measurements is discussed. In addition, mitigation approaches for the wind retrieval are presented and potential root causes are discussed.
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EGUsphere, https://doi.org/10.5194/egusphere-2025-4596, https://doi.org/10.5194/egusphere-2025-4596, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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The European Space Agency's Aeolus satellite (2018–2023) was the first mission to measure global wind profiles from space. We analysed its performance over five years to understand data quality and coverage under different conditions. By linking instrument behaviour to wind observations, we identified strengths and limitations. These results provide essential guidance for the design and operation of the operational follow-on mission Aeolus-2.
Anna Kampouri, Vassilis Amiridis, Thanasis Georgiou, Stavros Solomos, Anna Gialitaki, Maria Tsichla, Michael Rennie, Simona Scollo, and Prodromos Zanis
Atmos. Chem. Phys., 25, 7343–7368, https://doi.org/10.5194/acp-25-7343-2025, https://doi.org/10.5194/acp-25-7343-2025, 2025
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This study proposes a novel inverse modeling framework coupled with remote sensing data for improving volcanic ash dispersion forecasts, essential for aviation safety. By integrating FLEXPART dispersion model outputs with ground-based ACTRIS lidar observations, the approach estimates Etna's volcanic particle emissions and highlights a significant enhancement in the forecast accuracy.
Michael Vaughan, Kevin Ridley, Benjamin Witschas, Oliver Lux, Ines Nikolaus, and Oliver Reitebuch
Atmos. Meas. Tech., 18, 2149–2181, https://doi.org/10.5194/amt-18-2149-2025, https://doi.org/10.5194/amt-18-2149-2025, 2025
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ESA's Aeolus mission, launched in 2018, has exceeded expectations, providing valuable global wind lidar data for nearly 5 years. Its data have improved weather forecasting, with Mie-cloudy winds proving to be especially precise. Challenges have emerged, such as unexpected misalignments in signal angles and reduced signal levels due to beam clipping and laser issues. Lessons from Aeolus highlight the need for better optical alignment and active control systems for future lidar missions.
Lev D. Labzovskii, Gerd-Jan van Zadelhoff, David P. Donovan, Jos de Kloe, L. Gijsbert Tilstra, Ad Stoffelen, Damien Josset, and Piet Stammes
Atmos. Meas. Tech., 17, 7183–7208, https://doi.org/10.5194/amt-17-7183-2024, https://doi.org/10.5194/amt-17-7183-2024, 2024
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The Atmospheric Laser Doppler Instrument (ALADIN) on the Aeolus satellite was the first of its kind to measure high-resolution vertical profiles of aerosols and cloud properties from space. We present an algorithm that produces Aeolus lidar surface returns (LSRs), containing useful information for measuring UV reflectivity. Aeolus LSRs matched well with existing UV reflectivity data from other satellites, like GOME-2 and TROPOMI, and demonstrated excellent sensitivity to modeled snow cover.
Kangwen Sun, Guangyao Dai, Songhua Wu, Oliver Reitebuch, Holger Baars, Jiqiao Liu, and Suping Zhang
Atmos. Chem. Phys., 24, 4389–4409, https://doi.org/10.5194/acp-24-4389-2024, https://doi.org/10.5194/acp-24-4389-2024, 2024
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This paper investigates the correlation between marine aerosol optical properties and wind speeds over remote oceans using the spaceborne lidars ALADIN and CALIOP. Three remote ocean areas are selected. Pure marine aerosol optical properties at 355 nm are derived from ALADIN. The relationships between marine aerosol optical properties and wind speeds are analyzed within and above the marine atmospheric boundary layer, revealing the effect of wind speed on marine aerosols over remote oceans.
Manfred Ern, Mohamadou A. Diallo, Dina Khordakova, Isabell Krisch, Peter Preusse, Oliver Reitebuch, Jörn Ungermann, and Martin Riese
Atmos. Chem. Phys., 23, 9549–9583, https://doi.org/10.5194/acp-23-9549-2023, https://doi.org/10.5194/acp-23-9549-2023, 2023
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Quasi-biennial oscillation (QBO) of the stratospheric tropical winds is an important mode of climate variability but is not well reproduced in free-running climate models. We use the novel global wind observations by the Aeolus satellite and radiosondes to show that the QBO is captured well in three modern reanalyses (ERA-5, JRA-55, and MERRA-2). Good agreement is also found also between Aeolus and reanalyses for large-scale tropical wave modes in the upper troposphere and lower stratosphere.
Athena Augusta Floutsi, Holger Baars, Ronny Engelmann, Dietrich Althausen, Albert Ansmann, Stephanie Bohlmann, Birgit Heese, Julian Hofer, Thomas Kanitz, Moritz Haarig, Kevin Ohneiser, Martin Radenz, Patric Seifert, Annett Skupin, Zhenping Yin, Sabur F. Abdullaev, Mika Komppula, Maria Filioglou, Elina Giannakaki, Iwona S. Stachlewska, Lucja Janicka, Daniele Bortoli, Eleni Marinou, Vassilis Amiridis, Anna Gialitaki, Rodanthi-Elisavet Mamouri, Boris Barja, and Ulla Wandinger
Atmos. Meas. Tech., 16, 2353–2379, https://doi.org/10.5194/amt-16-2353-2023, https://doi.org/10.5194/amt-16-2353-2023, 2023
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DeLiAn is a collection of lidar-derived aerosol intensive optical properties for several aerosol types, namely the particle linear depolarization ratio, the extinction-to-backscatter ratio (lidar ratio) and the Ångström exponent. The data collection is based on globally distributed, long-term, ground-based, multiwavelength, Raman and polarization lidar measurements and currently covers two wavelengths, 355 and 532 nm, for 13 aerosol categories ranging from basic aerosol types to mixtures.
Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis
Atmos. Chem. Phys., 23, 4391–4417, https://doi.org/10.5194/acp-23-4391-2023, https://doi.org/10.5194/acp-23-4391-2023, 2023
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With the launch of the Aeolus satellite, higher-accuracy wind products became available. This research was carried out to validate the assimilated wind products by testing their effect on the WRF-Chem model predictive ability of dust processes. This was carried out for the eastern Mediterranean and Middle East region for two 2-month periods in autumn and spring 2020. The use of the assimilated products improved the dust forecasts of the autumn season (both quantitatively and qualitatively).
Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, Andreas Schäfler, and Fabian Weiler
Atmos. Meas. Tech., 15, 7049–7070, https://doi.org/10.5194/amt-15-7049-2022, https://doi.org/10.5194/amt-15-7049-2022, 2022
Short summary
Short summary
In August 2018, the first wind lidar Aeolus was launched into space and has since then been providing data of the global wind field. The primary goal of Aeolus was the improvement of numerical weather prediction. To verify the quality of Aeolus wind data, DLR performed four airborne validation campaigns with two wind lidar systems. In this paper, we report on results from the two later campaigns, performed in Iceland and the tropics.
Oliver Lux, Benjamin Witschas, Alexander Geiß, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 6467–6488, https://doi.org/10.5194/amt-15-6467-2022, https://doi.org/10.5194/amt-15-6467-2022, 2022
Short summary
Short summary
We discuss the influence of different quality control schemes on the results of Aeolus wind product validation and present statistical tools for ensuring consistency and comparability among diverse validation studies with regard to the specific error characteristics of the Rayleigh-clear and Mie-cloudy winds. The developed methods are applied for the validation of Aeolus winds against an ECMWF model background and airborne wind lidar data from the Joint Aeolus Tropical Atlantic Campaign.
Isabell Krisch, Neil P. Hindley, Oliver Reitebuch, and Corwin J. Wright
Atmos. Meas. Tech., 15, 3465–3479, https://doi.org/10.5194/amt-15-3465-2022, https://doi.org/10.5194/amt-15-3465-2022, 2022
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The Aeolus satellite measures global height resolved profiles of wind along a certain line-of-sight. However, for atmospheric dynamics research, wind measurements along the three cardinal axes are most useful. This paper presents methods to convert the measurements into zonal and meridional wind components. By combining the measurements during ascending and descending orbits, we achieve good derivation of zonal wind (equatorward of 80° latitude) and meridional wind (poleward of 70° latitude).
Peristera Paschou, Nikolaos Siomos, Alexandra Tsekeri, Alexandros Louridas, George Georgoussis, Volker Freudenthaler, Ioannis Binietoglou, George Tsaknakis, Alexandros Tavernarakis, Christos Evangelatos, Jonas von Bismarck, Thomas Kanitz, Charikleia Meleti, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 15, 2299–2323, https://doi.org/10.5194/amt-15-2299-2022, https://doi.org/10.5194/amt-15-2299-2022, 2022
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The eVe lidar delivers quality-assured aerosol and cloud optical properties according to the standards of ACTRIS. It is a mobile reference system for the validation of the ESA's Aeolus satellite mission (L2 aerosol and cloud products). eVe provides linear and circular polarisation measurements with Raman capabilities. Here, we describe the system design, the polarisation calibration techniques, and the software for the retrieval of the optical products.
Benjamin Witschas, Christian Lemmerz, Oliver Lux, Uwe Marksteiner, Oliver Reitebuch, Fabian Weiler, Frederic Fabre, Alain Dabas, Thomas Flament, Dorit Huber, and Michael Vaughan
Atmos. Meas. Tech., 15, 1465–1489, https://doi.org/10.5194/amt-15-1465-2022, https://doi.org/10.5194/amt-15-1465-2022, 2022
Short summary
Short summary
In August 2018, the ESA launched the first Doppler wind lidar into space. In order to calibrate the instrument and to monitor the overall instrument conditions, instrument spectral registration measurements have been performed with Aeolus on a weekly basis. Based on these measurements, the alignment drift of the Aeolus satellite instrument is estimated by applying tools and mathematical model functions to analyze the spectrometer transmission curves.
Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Alexander Geiß, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 1303–1331, https://doi.org/10.5194/amt-15-1303-2022, https://doi.org/10.5194/amt-15-1303-2022, 2022
Short summary
Short summary
The article discusses modifications in the wind retrieval of the ALADIN Airborne Demonstrator (A2D) – one of the key instruments for the validation of Aeolus. Thanks to the retrieval refinements, which are demonstrated in the context of two airborne campaigns in 2019, the systematic and random wind errors of the A2D were significantly reduced, thereby enhancing its validation capabilities. Finally, wind comparisons between A2D and Aeolus for the validation of the satellite data are presented.
Songhua Wu, Kangwen Sun, Guangyao Dai, Xiaoye Wang, Xiaoying Liu, Bingyi Liu, Xiaoquan Song, Oliver Reitebuch, Rongzhong Li, Jiaping Yin, and Xitao Wang
Atmos. Meas. Tech., 15, 131–148, https://doi.org/10.5194/amt-15-131-2022, https://doi.org/10.5194/amt-15-131-2022, 2022
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During the VAL-OUC campaign, we established a coherent Doppler lidar (CDL) network over China to verify the Level 2B (L2B) products from Aeolus. By the simultaneous wind measurements with CDLs at 17 stations, the L2B products from Aeolus are compared with those from CDLs. To our knowledge, the VAL-OUC campaign is the most extensive so far between CDLs and Aeolus in the lower troposphere for different atmospheric scenes. The vertical velocity impact on the HLOS retrieval from Aeolus is evaluated.
Oliver Lux, Christian Lemmerz, Fabian Weiler, Thomas Kanitz, Denny Wernham, Gonçalo Rodrigues, Andrew Hyslop, Olivier Lecrenier, Phil McGoldrick, Frédéric Fabre, Paolo Bravetti, Tommaso Parrinello, and Oliver Reitebuch
Atmos. Meas. Tech., 14, 6305–6333, https://doi.org/10.5194/amt-14-6305-2021, https://doi.org/10.5194/amt-14-6305-2021, 2021
Short summary
Short summary
The work assesses the frequency stability of the laser transmitters on board Aeolus and discusses its influence on the quality of the global wind data. Excellent frequency stability of the space lasers is evident, although enhanced frequency noise occurs at certain locations along the orbit due to micro-vibrations that are introduced by the satellite’s reaction wheels. The study elaborates on this finding and investigates the extent to which the enhanced frequency noise increases the wind error.
Fabian Weiler, Thomas Kanitz, Denny Wernham, Michael Rennie, Dorit Huber, Marc Schillinger, Olivier Saint-Pe, Ray Bell, Tommaso Parrinello, and Oliver Reitebuch
Atmos. Meas. Tech., 14, 5153–5177, https://doi.org/10.5194/amt-14-5153-2021, https://doi.org/10.5194/amt-14-5153-2021, 2021
Short summary
Short summary
This paper reports on dark current signal anomalies of the detectors used on board the ESA's Earth Explorer satellite Aeolus during the first 1.5 years in orbit. After introducing sophisticated algorithms to classify dark current anomalies according to their characteristics, the impact of the different kinds of anomalies on wind measurements is discussed. In addition, mitigation approaches for the wind retrieval are presented and potential root causes are discussed.
Anne Martin, Martin Weissmann, Oliver Reitebuch, Michael Rennie, Alexander Geiß, and Alexander Cress
Atmos. Meas. Tech., 14, 2167–2183, https://doi.org/10.5194/amt-14-2167-2021, https://doi.org/10.5194/amt-14-2167-2021, 2021
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This study provides an overview of validation activities to determine the Aeolus HLOS wind errors and to understand the biases by investigating possible dependencies and testing bias correction approaches. To ensure meaningful validation statistics, collocated radiosondes and two different global NWP models, the ECMWF IFS and the ICON model (DWD), are used as reference data. To achieve an estimate for the Aeolus instrumental error the representativeness errors for the comparisons are evaluated.
Cited articles
Andersson, E.: Statement of Guidance for Global Numerical Weather Prediction
(NWP), World Meteorological Society, available at:
https://docplayer.net/194586713-Statement-of-guidance-for-global-numerical-weather-prediction-nwp.html (last access date: 15 November 2021), 2018.
Ansmann, A., Wandinger, U., Rille, O. L., Lajas, D., and Straume, A. G.:
Particle backscatter and extinction profiling with the spaceborne
high-spectral-resolution Doppler lidar ALADIN: methodology and simulations,
Appl. Optics, 46, 6606–6622, https://doi.org/10.1364/AO.46.006606, 2007.
Bell, W., English, S. J., Candy, B., Atkinson, N., Hilton, F., Baker, N.,
Swadley, S. D., Campbell, W. F., Bormann, N., Kelly, G., and Kazumori, M.:
The Assimilation of SSMIS Radiances in Numerical Weather Prediction Models, IEEE T. Geosci. Remote,
46, 884–900, https://doi.org/10.1109/TGRS.2008.917335, 2008.
Belova, E., Kirkwood, S., Voelger, P., Chatterjee, S., Satheesan, K., Hagelin, S., Lindskog, M., and Körnich, H.: Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden, Atmos. Meas. Tech., 14, 5415–5428, https://doi.org/10.5194/amt-14-5415-2021, 2021.
Chanin, M. L., Garnier, A., Hauchecorne, A., and Porteneuve, J.: A Doppler
lidar for measuring winds in the middle atmosphere, Geophys. Res. Lett., 16, 1273–1276,
https://doi.org/10.1029/GL016i011p01273, 1989.
Dabas, A., Denneulin, M. L., Flamant, P., Loth, C., Garnier, A., and
Dolfi-Bouteyre, A.: Correcting winds measured with a Rayleigh Doppler lidar
from pressure and temperature effects, Tellus A, 60, 206–215, https://doi.org/10.1111/j.1600-0870.2007.00284.x, 2008.
ESA: The four Candidate Earth Explorer Core Missions – Atmospheric Dynamics
Mission, available at: https://earth.esa.int/eogateway/documents/20142/37627/The four Candidate Earth Explorer Core Missions - Atmospheric Dynamics Mission?text=worldview-3 (last access: 15 November 2021), 1999.
ESA: ADM-Aeolus Science Report, European Space Agency, SP-1311, ISBN 978-92-9221-404-3, ISSN 0379-6566, available at: https://esamultimedia.esa.int/multimedia/publications/SP-1311/SP-1311.pdf (last access: 15 November 2021), 2008.
ESA: Aeolus Online Dissemination System, ESA [data set], available at: https://aeolus-ds.eo.esa.int/oads/access/collection/L1B_Wind_Products/tree, last access: 15 November 2021.
Flamant, P., Cuesta, J., Denneulin, M.-L., Dabas, A., and Huber, D.:
ADM-Aeolus retrieval algorithms for aerosol and cloud products, Tellus A, 60,
273–288, https://doi.org/10.1111/j.1600-0870.2007.00287.x, 2008.
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.
Flesia, C. and Korb, C. L.: Theory of the double-edge molecular technique
for Doppler lidar wind measurement, Appl. Optics, 38, 432–440,
https://doi.org/10.1364/AO.38.000432, 1999.
Garnier, A. and Chanin, M. L.: Description of a Doppler rayleigh LIDAR for
measuring winds in the middle atmosphere, Appl. Phys. B, 55, 35–40,
https://doi.org/10.1007/BF00348610, 1992.
Guo, J., Liu, B., Gong, W., Shi, L., Zhang, Y., Ma, Y., Zhang, J., Chen, T., Bai, K., Stoffelen, A., de Leeuw, G., and Xu, X.: Technical note: First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China, Atmos. Chem. Phys., 21, 2945–2958, https://doi.org/10.5194/acp-21-2945-2021, 2021.
Hastie, T. and Tibshirani, R.: Generalized Additive Models, Statist. Sci., 1, 297–310, https://doi.org/10.1214/ss/1177013604, 1986.
James, G., Witten, D., Hastie, T., and Tibshirani, R.: An Introduction to Statistical Learning: with Applications in R, Springer, New York,426 pp., ISBN 978-1-0716-1305-4, 2014.
Kanitz, T., Lochard, J., Marshall, J., McGoldrick, P., Lecrenier, O.,
Bravetti, P., Reitebuch, O., Rennie, M., Wernham, D., and Elfving, A.:
Aeolus first light: first glimpse, in: International Conference on Space
Optics – ICSO 2018, International Conference on Space Optics – ICSO
2018, Chania, Greece, 111801R, https://doi.org/10.1117/12.2535982, 2019.
Korhonen, T., Keinanen, P., Pasanen, M., and Sillanpaa, A.: Polishing and
testing of the 1.5 m SiC M1 mirror of the ALADIN instrument on the
ADM-Aeolus satellite of ESA, in: Optical Fabrication, Testing, and Metrology
III, Optical Fabrication, Testing, and Metrology III, 710219,
https://doi.org/10.1117/12.797730, 2008.
Lee, H.-T. and NOAA CDR Program: NOAA Climate Data Record (CDR) of Daily
Outgoing Longwave Radiation (OLR), NOAA National Climatic Data Center [data set], Version 1.2 olr-daily_v01r02_20190101_20191231.nc, https://doi.org/10.7289/V5SJ1HH2,
2011.
Lux, O., Wernham, D., Bravetti, P., McGoldrick, P., Lecrenier, O., Riede,
W., D'Ottavi, A., Sanctis, V. D., Schillinger, M., Lochard, J., Marshall,
J., Lemmerz, C., Weiler, F., Mondin, L., Ciapponi, A., Kanitz, T., Elfving,
A., Parrinello, T., and Reitebuch, O.: High-power and frequency-stable
ultraviolet laser performance in space for the wind lidar on Aeolus, Opt.
Lett., 45, 1443–1446, https://doi.org/10.1364/OL.387728, 2020a.
Lux, O., Lemmerz, C., Weiler, F., Marksteiner, U., Witschas, B., Rahm, S., Geiß, A., and Reitebuch, O.: Intercomparison of wind observations from the European Space Agency's Aeolus satellite mission and the ALADIN Airborne Demonstrator, Atmos. Meas. Tech., 13, 2075–2097, https://doi.org/10.5194/amt-13-2075-2020, 2020b.
Lux, O., Lemmerz, C., Weiler, F., Kanitz, T., Wernham, D., Rodrigues, G., Hyslop, A., Lecrenier, O., McGoldrick, P., Fabre, F., Bravetti, P., Parrinello, T., and Reitebuch, O.: ALADIN laser frequency stability and its impact on the Aeolus wind error, Atmos. Meas. Tech., 14, 6305–6333, https://doi.org/10.5194/amt-14-6305-2021, 2021.
Malardel, S., Wedi, N., Deconinck, W., Diamantakis, M., Kuehnlein, C.,
Mozdzynski, G., Hamrud, M., and Smolarkiewicz, P.: A new grid for the IFS,
ECMWF, 146, 23–28, https://doi.org/10.21957/zwdu9u5i, 2016.
Martin, A., Weissmann, M., Reitebuch, O., Rennie, M., Geiß, A., and Cress, A.: Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents, Atmos. Meas. Tech., 14, 2167–2183, https://doi.org/10.5194/amt-14-2167-2021, 2021.
McKay, J. A.: Modeling of direct detection Doppler wind lidar. II. The
fringe imaging technique, Appl. Opt., 37, 6487–6493,
https://doi.org/10.1364/AO.37.006487, 1998.
Reitebuch, O.: The Spaceborne Wind Lidar Mission ADM-Aeolus, in: Atmospheric
Physics: Background – Methods – Trends, edited by: Schumann, U., Springer,
Berlin, Heidelberg, 815–827,
https://doi.org/10.1007/978-3-642-30183-4_49, 2012a.
Reitebuch, O.: Wind Lidar for Atmospheric Research, in: Atmospheric Physics:
Background – Methods – Trends, edited by: Schumann, U., Berlin, Heidelberg,
487–507, https://doi.org/10.1007/978-3-642-30183-4_49,
2012b.
Reitebuch, O., Huber, D., and Nikolaus, I.: ADM-Aeolus, Algorithm
Theoretical Basis Document (ATBD), Level1B Products, DLR Oberpfaffenhofen,
available at:https://earth.esa.int/eogateway/documents/20142/37627/Aeolus-L1B-Algorithm-ATBD.pdf (last access: 15 November 2021), 2018a.
Reitebuch, O., Marksteiner, U., Rompel, M., Meringer, M., Schmidt, K.,
Huber, D., Nikolaus, I., Dabas, A., Marshall, J., de Bruin, F., Kanitz, T.,
and Straume, A.-G.: Aeolus End-To-End Simulator and Wind Retrieval
Algorithms up to Level 1B, EPJ Web Conf., 176, 02010,
https://doi.org/10.1051/epjconf/201817602010, 2018b.
Reitebuch, O., Marksteiner, U., Weiler, F., Lemmerz, C., Witschas, B., Lux,
O., Meringer, M., Schmidt, K., Huber, D., Dabas, A., Flament, T., Stieglitz,
H., Mahfouf, J.-F., Isaksen, L., Rennie, M., Stoffelen, A., Marseille, G.,
Kloe, J., Donovan, D., and Lodovico, I.: The Aeolus Data Innovation and
Science Cluster DISC – Overview and First Results, ESA Living Planet
Symposium, Milan, Italy, 13–17 May 2019, 2019.
Reitebuch, O., Lemmerz, C., Lux, O., Marksteiner, U., Rahm, S., Weiler, F.,
Witschas, B., Meringer, M., Schmidt, K., Huber, D., Nikolaus, I., Geiss, A.,
Vaughan, M., Dabas, A., Flament, T., Stieglitz, H., Isaksen, L., Rennie, M.,
Kloe, J. de, Marseille, G.-J., Stoffelen, A., Wernham, D., Kanitz, T.,
Straume, A.-G., Fehr, T., Bismarck, J. von, Floberghagen, R., and
Parrinello, T.: Initial Assessment of the Performance of the First Wind
Lidar in Space on Aeolus, EPJ Web Conf., 237, 01010,
https://doi.org/10.1051/epjconf/202023701010, 2020.
Rennie, M. P.: An assessment of the expected quality of Aeolus Level-2B wind
products, EPJ Web Conf., 176, 02015,
https://doi.org/10.1051/epjconf/201817602015, 2018.
Rennie, M. and Isaksen, L.: The NWP impact of Aeolus Level-2B Winds at
ECMWF, ECMWF Technical Memoranda, technical report, 110 pp., https://doi.org/10.21957/alift7mhr, 2020.
Rennie, M., Tan, D., Poli, P., Dabas, A., De Kloe, J., Marseille, G.-J., and
Stoffelen, A.: Aeolus Level-2B Algorithm Theoretical Basis Document, ECMWF, available at: https://earth.esa.int/eogateway/documents/20142/37627/Aeolus-L2B-Algorithm-ATBD.pdf (last access: 15 November 2021), 2020.
Rennie, M. P., Isaksen, L., Weiler, F., de Kloe, J., Kanitz, T., and Reitebuch, O.: The impact of Aeolus wind retrievals on ECMWF global weather forecasts, Q. J. Roy. Meteor. Soc., 147, 3555–3586, https://doi.org/10.1002/qj.4142, 2021.
Stoffelen, A., Pailleux, J., Källén, E., Vaughan, J. M., Isaksen,
L., Flamant, P., Wergen, W., Andersson, E., Schyberg, H., Culoma, A.,
Meynart, R., Endemann, M., and Ingmann, P.: The Atmospheric Dynamics Mission
for global wind field measurement, B. Am. Meteorol. Soc., 86, 73–88,
https://doi.org/10.1175/BAMS-86-1-73, 2005.
Stoffelen, A., Benedetti, A., Borde, R., Dabas, A., Flamant, P., Forsythe,
M., Hardesty, M., Isaksen, L., Källén, E., Körnich, H., Lee, T.,
Reitebuch, O., Rennie, M., Riishøjgaard, L.-P., Schyberg, H., Straume, A.
G., and Vaughan, M.: Wind Profile Satellite Observation Requirements and
Capabilities, B. Am. Meteorol. Soc., 101, E2005–E2021, https://doi.org/10.1175/BAMS-D-18-0202.1,
2020.
Straume, A. G.: Aeolus Sensor and Product Description, European Space
Agency, available at: https://earth.esa.int/pi/esa?type=file&table=aotarget&cmd=image&alias=Aeolus_Sensor_Processing_and_Product_Description, last access: 15 November 2021, 2018.
Svetnik, V., Liaw, A., Tong, C., Culberson, J. C., Sheridan, R. P., and
Feuston, B. P.: Random Forest: A Classification and Regression Tool for
Compound Classification and QSAR Modeling, J. Chem. Inf. Comp. Sci., 43,
1947–1958, https://doi.org/10.1021/ci034160g, 2003.
Tan, D. G. H., Andersson, E., Kloe, J. D., Marseille, G.-J., Stoffelen, A.,
Poli, P., Denneulin, M.-L., Dabas, A., Huber, D., Reitebuch, O., Flamant,
P., Rille, O. L., and Nett, H.: The ADM-Aeolus wind retrieval algorithms, Tellus A, 60, 191–205, https://doi.org/10.1111/j.1600-0870.2007.00285.x, 2008.
Weiler, F.: Bias correction using ground echoes for the airborne
demonstrator of the wind lidar on the ADM-Aeolus mission, Master Thesis, University of Innsbruck, Innsbruck, 89 pp., available at: https://diglib.uibk.ac.at/ulbtirolhs/content/structure/2143358 (last access: 15 November 2021), 2017.
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, 2021.
Short summary
This paper summarizes the identification and correction of one of the most important systematic error sources for the wind measurements of the ESA satellite Aeolus. It depicts the effects of small temperature variations in the primary telescope mirror on the quality of the wind products and describes the approach to correct for it in the near-real-time processing. Moreover, the performance of the correction approach is assessed, and alternative approaches are discussed.
This paper summarizes the identification and correction of one of the most important systematic...