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Raw data acquired by GPS1 position sensors on board research aircraft Polar 5 during the campaign P5-256_COMPEX-EC_2025 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from AWI Datamanagement System (https://dms.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.
This dataset contains airborne radar data acquired using the AWI ultra-wideband microwave radar (UWBM) during the Arctic season of 2018. The profiles extend across the Greenland Ice Sheet over and upstream of 79°N Glacier (Nioghalvfjerdsbræ; northeast Greenland). Furthermore, one flight extends over sea ice northeast of the Greenland Ice Sheet. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams. For every profile we provide four radar products (img_01, img_02, img_03, img_04), which correspond to the four polarizations (VV, VH, HH, HV).
This data set unites the individual data of the MOSAiC Airborne observations in the Central Arctic (MOSAiC-ACA) campaign, carried out in late summer 2020 northwest of Svalbard (Norway). The objective of MOSAiC-ACA was to study turbulent fluxes of energy and momentum in the Arctic boundary layer and low- and mid-level mixed-phase clouds and their role in Arctic amplification in the exit area of the research vessel Polarstern during the MOSAiC expedition. The research aircraft Polar 5 was equipped with active and passive remote sensing instruments, measurements for turbulent and radiative energy fluxes, insitu probes for cloud and aerosol particles, and dropsondes. In total, 10 research flights with 44 flight hours over the open ocean and the marginal sea ice zone have been performed between 30 August and 13 September 2020.
This data collection unites the individual data sets of the COMPEX-EC (Clouds over cOMPlEX environment - EarthCARE) campaign, carried out in Kiruna 2.-16.4.2025. COMPEX-EC has been designed as an EarthCARE validation campaign. For that purpose, Polar 5 (C-GAWI) has been equipped with instrumentation similar to the one operated on EarthCARE (W-band radar, lidar, radiometers, spectral imagers). Seven research flights (summing up to more than 30 flight hours) were conducted each of them underflying the EarthCARE satellite to validate its performance.
This dataset contains airborne radar data acquired using the AWI EMR system (Nixdorf et al., 1999) during the Arctic season of 2015. The profiles extend western DML over the Maud Belt and Ekström Ice Shelf to investigate the geodynamic evolution of East Antarctica, the Forster magnetic anomaly (GEA-V-FMA). The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
This dataset contains airborne radar data acquired using the AWI Accumulation Radar (ACCU) system during the Antarctic season of 2011/12. The profiles cover western Dronning Maud Land around EDML, eastern Dronning Maud Land over the Sør Rondane Mountains, and over Atka Bay. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
HALO-(AC)³ is a field study that aimed at investigating Arctic air mass transformations by collecting a comprehensive observational data set in March and April 2022. A series of cases of warm air intrusions into the Arctic and marine cold air outbreaks were observed. Larger spatial scales were covered with a particular emphasis on process studies of important examples of Arctic mid-latitude linkages by applying the High Altitude and Long Range Research Aircraft (HALO), and the AWI polar aircrafts P5 & P6 for coordinated research flights over the Arctic. Simultaneously, observations at the AWIPEV station Ny Alesund were intensified and linked to the airborne activities including measurements of the tethered balloon system called BELUGA. The general objectives of the HALO-(AC)³ mission were: 1) To perform quasi-Lagrange observations of air-mass transformation processes during meridional transports with a particular focus on pronounced warm air intrusions and marine cold air outbreaks, and 2) To test the ability of numerical atmospheric models to reproduce the measurements, which then can be applied to investigate the linkages between Arctic amplification and mid-latitude weather. This is the collection of datasets for all data obtained with research aircraft POLAR 6.
HALO-(AC)³ is a field study that aimed at investigating Arctic air mass transformations by collecting a comprehensive observational data set in March and April 2022. A series of cases of warm air intrusions into the Arctic and marine cold air outbreaks were observed. Larger spatial scales were covered with a particular emphasis on process studies of important examples of Arctic mid-latitude linkages by applying the High Altitude and Long Range Research Aircraft (HALO), and the AWI polar aircrafts P5 & P6 for coordinated research flights over the Arctic. Simultaneously, observations at the AWIPEV station Ny Alesund were intensified and linked to the airborne activities including measurements of the tethered balloon system called BELUGA. The general objectives of the HALO-(AC)³ mission were: 1) To perform quasi-Lagrange observations of air-mass transformation processes during meridional transports with a particular focus on pronounced warm air intrusions and marine cold air outbreaks, and 2) To test the ability of numerical atmospheric models to reproduce the measurements, which then can be applied to investigate the linkages between Arctic amplification and mid-latitude weather. This is the collection of datasets for all data obtained with research aircraft POLAR 5.
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