GLORIA, ALIMA, BAHAMAS and ECMWF IFS data for SouthTRAC flight 10 from 16 to 17 September 2019

DOI

This dataset includes airborne observations together with forecasts and analyses that were used to study non-orographic gravity waves during research flight ST10 of the SouthTRAC campaign. The flight was carried out by the German research aircraft HALO (High Altitude and LOng Range Research Aircraft) on 16 and 17 September 2019 from Rio Grande, Tierra del Fuego, Argentina. The airborne observations include remote sensing observations of temperature and trace gases by GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere by KIT and Forschungszentrum Jülich) and temperature by ALIMA (Airborne LIdar for Middle Atmosphere research by DLR-IPA). Furthermore, airborne in situ observations of temperature, the three wind components and further parameters by BAHAMAS (Basic Halo Measurement and Sensor System by DLR-FX) at a data rate of 10 Hz and 100 Hz are included. The observations are also available via the HALO database (https://halo-db.pa.op.dlr.de/ongoing_subset/1108). The forecasts and analyses include deterministic short-term forecasts and six-hourly operational analyses from the integrated forecast system (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). ECMWF IFS data are available at https://www.ecmwf.int/en/forecasts. The terms of use by the ECMWF apply.

Detailed information on the GLORIA data can be found at:

Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., & Oelhaf, H. (2018), Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS. Atmos. Meas. Tech., 11, 4737–4756. doi.org/10.5194/amt-11-4737-2018

Ungermann, J., Kleinert, A., Maucher, G., Bartolomé, I., Friedl-Vallon, F., Johansson, S., Krasauskas, L., & Neubert, T. (2022), Quantification and mitigation of the instrument effects and uncertainties of the airborne limb imaging FTIR GLORIA. Atmos. Meas. Tech., 15, 2503–2530. doi.org/10.5194/amt-15-2503-2022

Detailed information on the ALIMA data can be found at:

Rapp, M., Kaifler, B., Dörnbrack, A., Gisinger, S., Mixa, T., Reichert, R., Kaifler, N., Knobloch, S., Eckert, R., Wildmann, N., Giez, A., Krasauskas, L., Preusse, P., Geldenhuys, M., Riese, M., Woiwode, W., Friedl-Vallon, F., Sinnhuber, B., Torre, A. d. l., Alexander, P., Hormaechea, J. L., Janches, D., Garhammer, M., Chau, J. L., Conte, J. F., Hoor, P., & Engel, A. (2021), SOUTHTRAC-GW: An Airborne Field Campaign to Explore Gravity Wave Dynamics at the World’s Strongest Hotspot. Bulletin of the American Meteorological Society, 102(4), E871-E893. doi.org/10.1175/BAMS-D-20-0034.1

Kaifler, B., & Kaifler, N. (2021), A Compact Rayleigh Autonomous Lidar (CORAL) for the middle atmosphere. Atmos. Meas. Tech., 14, 1715–1732. doi.org/10.5194/amt-14-1715-2021

Detailed information on the BAHAMAS data can be found at:

Krautstrunk, M., & Giez, A. (2012), The Transition from FALCON to HALO era airborne atmospheric research. in: Atmospheric Physics, edited by: Schumann, U., Research Topics in Aerospace, Springer Verlag, Berlin, 609–624. doi.org/10.1007/978-3-642-30183-4_37

Giez, A., Mallaun, C., Nenakhov, V., & Zöger, M. (2021), Calibration of a Nose Boom Mounted Airflow Sensor on an Atmospheric Research Aircraft by Inflight Maneuvers (Tech. Rep. No. 2021-17). Oberpfaffenhofen: DLR. Retrieved from https://elib.dlr.de/145969/

Identifier
DOI https://doi.org/10.35097/1399
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/1399
Provenance
Creator Woiwode, Wolfgang; Dörnbrack, Andreas; Johansson, Sören ORCID logo; Kaifler, Bernd; Giez, Andreas
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2023
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Other