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A global view on the effect of water uptake on aerosol particle light scattering.

María A BurgosElisabeth AndrewsGloria TitosLucas Alados-ArboledasUrs BaltenspergerDerek DayAnne JeffersonNikos KalivitisNikos MihalopoulosJames ShermanJunying SunErnest WeingartnerPaul Zieger
Published in: Scientific data (2019)
A reference dataset of multi-wavelength particle light scattering and hemispheric backscattering coefficients for different relative humidities (RH) between RH = 30 and 95% and wavelengths between λ = 450 nm and 700 nm is described in this work. Tandem-humidified nephelometer measurements from 26 ground-based sites around the globe, covering multiple aerosol types, have been re-analysed and harmonized into a single dataset. The dataset includes multi-annual measurements from long-term monitoring sites as well as short-term field campaign data. The result is a unique collection of RH-dependent aerosol light scattering properties, presented as a function of size cut. This dataset is important for climate and atmospheric model-measurement inter-comparisons, as a means to improve model performance, and may be useful for satellite and remote sensing evaluation using surface-based, in-situ measurements.
Keyphrases
  • water soluble
  • photodynamic therapy
  • climate change
  • electronic health record
  • particulate matter
  • big data
  • deep learning