Schuchard Malte malte.schuchard@tu-braunschweig.de 0009-0005-8390-8456 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Bärfuss Konrad k.baerfuss@tu-braunschweig.de 0000-0001-5130-5494 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Bretschneider Lutz l.bretschneider@tu-braunschweig.de 0000-0002-5384-6128 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Käthner Ralf kaethner@tropos.de Leibniz-Institut für Troposphärenforschung e.V., Leipzig TROPOS http://www.tropos.de https://ror.org/03a5xsc56 Lampert Astrid astrid.lampert@tu-bs.de https://www.tu-braunschweig.de/ilr/dasinstitut/mitarbeiter/ehemaligemitarbeiter/astridlampert 0000-0003-1414-1616 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Pätzold Falk f.paetzold@tu-braunschweig.de 0000-0003-2126-8367 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Pilz Christian pilz@tropos.de https://www.tropos.de/institut/ueber-uns/mitarbeitende/christian-pilz 0000-0002-0020-1254 Leibniz-Institut für Troposphärenforschung e.V., Leipzig TROPOS http://www.tropos.de https://ror.org/03a5xsc56 Sandgaard Jesper Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Schlerf Andreas a.schlerf@tu-braunschweig.de 0000-0002-6789-7487 Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Voss Anna anna.voss1@tu-braunschweig.de Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 Harm-Altstädter Barbara b.altstaedter@tu-braunschweig.de 0000-0002-3216-550X Institute of Flight Guidance, Technische Universität Braunschweig https://ror.org/010nsgg66 2026 Spatial distribution of aerosol and meteorological parameters measured with the UAS ALADINA near Frankfurt airport in October 2024 dataset publication series https://doi.org/10.1594/PANGAEA.995331 2026-06-10T09:09:27 Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon. Altstädter Barbara 0000-0002-3216-550X Platis Andreas andreas.platis@uni-tuebingen.de 0000-0002-9276-3587 Wehner Birgit birgit@tropos.de Scholtz Andreas Wildmann Norman 0000-0001-9475-4206 Hermann Markus 0000-0002-5124-1571 Käthner Ralf kaethner@tropos.de Baars Holger baars@tropos.de 0000-0002-2316-8960 Bange Jens jens.bange@uni-tuebingen.de 0000-0003-4075-1573 Lampert Astrid astrid.lampert@tu-bs.de https://www.tu-braunschweig.de/ilr/dasinstitut/mitarbeiter/ehemaligemitarbeiter/astridlampert 0000-0003-1414-1616 2015 ALADINA – an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer journal article Atmospheric Measurement Techniques 8(4) https://doi.org/10.5194/amt-8-1627-2015 1627-1639 8.554197 8.57201 50.073688 50.080394 8.563409199321775 50.07723224001551 2024-10-11T10:36:47 2024-10-18T16:32:34 SOURCE_FFR Study On Ultrafine Particles in the Frankfurt Airport Region https://www.ultrafeinstaub-studie.de/ Forum Flughafen und Region FFR 26 CC-BY-4.0 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ This research was carried out as part of the UFP exposure study SOURCE FFR (Study On Ultrafine Particles in the Frankfurt Airport Region) commissioned by the Umwelt- und Nachbarschaftshaus (UNH). Temperature, air | TTT | Finewire temperature sensor, TU Braunschweig Germany; and Temperature sensor, Measurement Specialists Ireland, TSYS01 | complementary filtered | Humidity, relative | RH | Hygrometer, Innovative Sensor Technology, Rapid P14; and Thermometer/Hygrometer, Vaisala, HMP110 | Pressure, at given altitude | PPPP | Pressure sensor, Analog Microelectronics Germany, AMS 5812 | Particle number concentration, particle diameter range 0.004 µm to 1 µm | N_conc(0.004-1) | Condensation particle counter (CPC), TSI Inc. USA, 3007 | Particle number concentration, particle diameter range 0.019 µm to 1 µm | N_conc(0.019-1) | from 1. channel of OPC | Particle number concentration, particle diameter range 0.3 µm to 0.5 µm | N_conc(0.3-0.5) | Optical particle counter (OPC), Met One lnstruments inc. USA, GT-526S | from 2. channel of OPC | Particle number concentration, particle diameter range 0.5 µm to 0.7 µm | N_conc(0.5-0.7) | from 3. channel of OPC | Particle number concentration, particle diameter range 0.7 µm to 1 µm | N_conc(0.7-1.0) | from 4. channel of OPC | Particle number concentration, particle diameter range 1 µm to 2.5 µm | N_conc(1.0-2.5) | from 5. channel of OPC | Particle number concentration, particle diameter range 2.5 µm to 5 µm | N_conc(2.5-5.0) | from 6. channel of OPC | Particle number concentration, particle diameter range 5 µm to 10 µm | N_conc(5-10) | Short-wave downward (GLOBAL) radiation | SWD | Pyranometer, EKO Instruments, ML-01 | Short-wave upward (REFLEX) radiation | SWU | Surface temperature | Surf temp | Temperature sensor, Melexis Belgium, MLX90614 | proxy values from autopilot system | Roll angle | Roll | Autopilot system, CubePilot Pty. Ltd. Australia, Pixhawk 2.1 Cube | Pitch angle | Pitch | Heading | Head | proxy values from autopilot system and multi-hole probe | Wind speed | ff | Wind direction | dd citable aerosol airborne measurements aircraft activity airport pollution air traffic atmospheric boundary layer Drone Frankfurt airport Germany SOURCE FFR UAS UAV Ultrafine Particles method14562 method16558 method16559 method18540 method18541 method18542 method18762 method18763 param18906 param21892 param2219 param2221 param31368 param31369 param31460 param4610 param49378 param50171 param552121 param552122 param552123 param552124 param552125 param552127 param552128 param55911 param564711 pi78506 author100875 author117822 author117823 author117824 author32784 author68765 author69919 author69925 author69926 author72124 author78506 author81589 author85159 author89053 author91696 author91697 author91698 author91700 author91704 geocode1599 geocode1600 geocode1601 inst20251 inst21241 inst22821 journal1754 license21 project5105 ref140183 term47172 term47173 term47838 term48504 term50190 term51229 term54000 term76893 term78098 term78099 term78100 term78101 term78102