Calibrations and Wind Observations of an Airborne Direct Detection Wind Lidar Supporting ESA's Aeolus Mission

• Published in: Remote Sensing
• Main Authors: Marksteiner, Uwe, Lemmerz, Christian, Lux, Oliver, Rahm, Stephan, Schäfler, Andreas, Witschas, Benjamin, Reitebuch, Oliver
• Format: Article in Journal/Newspaper
• Language: English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2019
• Subjects: Lidar; Greenland; Aeolus; Iceland
• Online Access: https://elib.dlr.de/125045/; https://elib.dlr.de/125045/1/MDPI_remotesensing_364319_Manuscript_Marksteiner_20181207.pdf; https://doi.org/10.3390/rs10122056

Abstract: The Aeolus satellite mission of the European Space Agency (ESA) has brought the first wind lidar to space in order to satisfy the long existing need for global wind profile observations. Until the successful launch on August 22nd, 2018, pre-launch campaign activities supported the validation of the measurement principle, the instrument calibration and the optimization of retrieval algorithms. Therefore, an airborne prototype instrument has been developed, the ALADIN Airborne Demonstrator (A2D), with ALADIN being the Atmospheric Laser Doppler Instrument of Aeolus. Two airborne campaigns were conducted over Greenland, Iceland and the Atlantic Ocean in September 2009 and May 2015, employing the A2D as the first worldwide airborne direct-detection Doppler Wind Lidar (DWL) and well established coherent 2-µm wind lidar. Both wind lidar instruments were operated on the same aircraft measuring Mie backscatter from aerosols and clouds as well as Rayleigh backscatter from molecules in parallel. This paper particularly focuses on the instrument response calibration method of the A2D and its importance for accurate wind retrieval results. We provide a detailed description of the analysis of wind measurement data gathered during the two campaigns, introducing a dedicated aerial interpolation algorithm that takes into account the different resolution grids of the two lidar systems. A statistical comparison of line of sight (LOS) winds for the campaign in 2015 yielded estimations of the systematic and random (mean absolute deviation) errors of A2D observations of about 0.7 m/s and 2.1 m/s, respectively, for the Rayleigh, and 0.05 m/s and 2.3 m/s, respectively, for the Mie channel. In view of the launch of Aeolus, differences between the A2D and the satellite mission are highlighted along the way, identifying the particular assets and drawbacks.