Arctic aerosol and atmospheric observations with the unmanned research aircraft ALADINA in Ny-Ålesund, Spitsbergen, April/May 2018

DOI

Aerosol particles are considered to be one of the main contributors in affecting the feedback mechanisms of the Arctic Amplification. However, to which extent is far away from quantification and this is partly related to a sparse knowledge of the spatial distribution of aerosols, in particular of the vertical distribution in the atmospheric boundary layer. The data set provides measurements of aerosol particle number concentration (for different size classes, above 3 nm, above 12 nm, and in the ranges of 300-500 nm, 500-700 nm and ~700-900 nm) as well as the meteorological parameters of air temperature, air pressure and humidity based on the unmanned research aircraft ALADINA (Application of Light-weight Aircraft for Detecting IN-situ Aerosol) that was used for a field application in Ny-Ålesund, Spitsbergen. Between 24 April and 25 May 2018, 49 measurement flights were performed that consist of vertical profiles (in sum 230) with a total maximum altitude of 850 m above mean sea level (AMSL) above land and horizontal legs (around 300) that were operated at different heights crossing the coast, as well as above open water in order to study a potential impact of different surface properties on the aerosol distribution. Information to studies/references: Preliminary results of the data contributed to the studies of Lampert et al. (2020), Petäjä et al. (2020) and Xavier et al. (2022) and will be presented in an overview study soon.

Brief overview:A full description of the sensors that are installed in ALADINA and the applied methods that were used during the post-processing are provided in Lampert et al. (2020). The meteorological data is complimentary filtered and all available parameters are in 1 Hz temporal resolution, respectively. The aerosol compartment in ALADINA consists of two condensation particle counters (CPC) of the same type (model 3007, TSI Inc.) that are operated with two different detection limits in order to calculate the number concentration of ultrafine particles in the size between 3 and 12 nm. In addition, one optical particle counter (OPC) is used (model GT-526S, Met One Instruments Inc.) that measures larger particles via six different size channels. In this case, the first three channels were selected for particle sizes of around 300, 500 and 700 nm.---File descriptions:Each file consists of the measured and post-processed parameters according to individual flights that were performed with the unmanned research aircraft ALADINA. This is further indicated by the common title “Arctic aerosol and atmospheric observations with ALADINA in Ny-Ålesund“ and more precisely given by flight date (2018-MM-DD) and flight number (ID01-ID50). For information: the flight with number ID08 is not provided due to technical issues during the field application.This implies in total 49 single files for 49 measurement flights.Each data file is composed of 12 columns with parameters that are listed below:---Data -> 12 columns in 1 Hz temporal resolution1. Date/Time: converted from GPS time in UTC2. Alt: Altitude in meters above sea level (mASL)3. Lat: Latitude WGS84 in decimal degree4. Lon: Longitude WGS84 in decimal degree5. TT: Air temperature, complimentary filtered in °C6. RH: Relative humidity, complimentary filtered in %7. PPPP: Air pressure (stat. pressure) in hPa8. N>3: Aerosol particle number concentration from CPC1 (particles larger 3 nm)9. N>12: Aerosol particle number concentration from CPC2 (particles larger 12 nm)10. N>300: Aerosol particle number concentration from first channel of OPC11. N>500: Aerosol particle number concentration from second channel of OPC12. N>700: Aerosol particle number concentration from third channel of OPC

Identifier
DOI https://doi.org/10.1594/PANGAEA.947132
Related Identifier References https://doi.org/10.1594/PANGAEA.946961
Related Identifier IsDocumentedBy https://doi.org/10.3390/atmos11040416
Related Identifier IsDocumentedBy https://doi.org/10.5194/acp-20-8551-2020
Related Identifier IsDocumentedBy https://doi.org/10.5194/acp-22-10023-2022
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.947132
Provenance
Creator Harm-Altstädter, Barbara (ORCID: 0000-0002-3216-550X); Bärfuss, Konrad ORCID logo; Bretschneider, Lutz ORCID logo; Käthner, Ralf; Pätzold, Falk ORCID logo; Peuker, Alexander ORCID logo; Wehner, Birgit; Lampert, Astrid ORCID logo
Publisher PANGAEA
Publication Year 2022
Funding Reference German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 218345998 https://gepris.dfg.de/gepris/projekt/218345998 Investigating the Small-Scale Vertical and Horizontal Variability of the Atmospheric Boundary Layer Aerosol using Unmanned Aerial Vehicles; German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 268020496 https://gepris.dfg.de/gepris/projekt/268020496 TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Publication Series of Datasets; Collection
Format application/zip
Size 49 datasets
Discipline Earth System Research
Spatial Coverage (11.817W, 78.917S, 11.935E, 78.938N)
Temporal Coverage Begin 2018-04-24T18:40:26Z
Temporal Coverage End 2018-05-25T15:41:52Z