KIT | KIT-Bibliothek | Impressum | Datenschutz

Data presented in Meyer et al. 2025 "From fine to giant: Multi-instrument assessment of the dust particle size distribution at an emission source during the J-WADI field campaign"

Meyer, Hannah; Kandler, Konrad; Dupont, Sylvain; Escribano, Jerónimo; Girdwood, Jessica; Nikolich, George; Alastuey, Andres; Etyemezian, Vicken; González-Flórez, Cristina; González-Romero, Adolfo; Hussein, Tareq; Irvine, Mark; Knippertz, Peter ORCID iD icon 1; Möhler, Ottmar 2; Querol, Xavier; Stopford, Chris; Vogel, Franziska ORCID iD icon 2; Weis, Frederik; Wieser, Andreas ORCID iD icon 1; ... mehr

Abstract:

This dataset comprises several NetCDF files containing processed meteorological, dust, and saltation data from the J-WADI field campaign used in Meyer et al. (2025). Data were collected from multiple instruments and processed into several products, including corrected and uncorrected mass concentrations from several instruments for selected time steps, optical to geometric diameter conversions, scanning electron microscopy (SEM) measurements, and dust mass concentrations from combining size distributions from several instruments. Files and Contents:



J-WADI_uncorrected_mass_concentrations_single_instruments_15_min.nc: 15-min averaged uncorrected mass concentration PSDs for three time steps. Instruments include UCASS (A, B), SANTRI2 (2U, 4U), Welas (4m, 2m), CDA (4m) and Fidas (4m, 2m).

J-WADI_corrected_mass_concentrations_single_instruments_triaxial_15_min.nc:15-min averaged corrected mass concentration particle size distributions (PSDs) derived for triaxial ellipsoid particle assumptions for geometric diameters. Instruments include SANTRI2 (2U, 4U), Welas (4m, 2m), and Fidas (4m, 2m).

J-WADI_corrected_mass_concentrations_single_instruments_biaxial_15_min.nc: 15-min averaged corrected mass concentration PSD data derived for biaxial ellipsoid particle assumptions for geometric diameters. ... mehr


Download
Originalveröffentlichung
DOI: 10.5281/zenodo.15112651
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Forschungsdaten
Publikationsjahr 2025
Identifikator KITopen-ID: 1000183042
HGF-Programm 12.11.31 (POF IV, LK 01) New observational systems and cross platform integration
Weitere HGF-Programme 12.11.32 (POF IV, LK 01) Advancing atmospheric and Earth system models
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1533
Externe Relationen Siehe auch
Schlagwörter mineral dust, particle size distribution
Art der Forschungsdaten Dataset
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page