Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Discussion papers | Copyright
https://doi.org/10.5194/amt-2018-40
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Feb 2018

Research article | 12 Feb 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Measurement Techniques (AMT).

Quantifying the single scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

Jiyunting Sun1,2, J. Pepijn Veefkind1,2, Peter van Velthoven1, and Pieternel F. Levelt1,2 Jiyunting Sun et al.
  • 1Royal Netherlands Meteorological Institute, De Bilt, 3731 GA, the Netherlands
  • 2Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628 CD, the Netherlands

Abstract. The absorbing aerosol index (AAI) based on the near Ultra-Violet (near-UV) remote sensing techniques is a qualitative parameter that allows to retrieve aerosol optical properties with confidence. In the first part of this study, a series of AAI sensitivity analysis is presented exclusively on biomass burning aerosols. Later on, this study applies a radiative transfer model (DISAMAR) to simulate the AAI measured by the Ozone Monitoring Instrument (OMI) and to derive the aerosol single scattering albedo (ω0). The inputs for the radiative transfer calculations are satellite measurement geometry and surface conditions from OMI, aerosol optical thickness (τ) from the MODerate-resolution Imaging Spectroradiometer (MODIS), and aerosol micro-physical parameters from the AErosol RObotic NETwork (AERONET), respectively. This approach is applied to the Chile wildfires for the period from 26 to 30 January 2017, when the OMI observed AAI of this event reached its peak. The Cloud and Aerosol Lidar with Orthogonal Polarization (CALIOP) failed to capture the evolution of the smoke plume, therefore the aerosol profile is parameterized. The simulated plume ascends to an altitude of 4.5–4.9km, which is in good agreement with measurements. Due to the relatively small data size of this case, an outlier detection criterion has to be applied. The results show that the AAI simulated by DISAMAR is consistent with observations. The correlation coefficients are over 0.85. The retrieved mean ω0 at 550nm is approximately 0.84, slightly smaller than the value of 0.90 measured independently by the AERONET instrument. The relative distance between the AERONET site and the plume, the assumption of homogeneous and static plume properties, the lack of the aerosol profile information, and the uncertainties in observations are primarily responsible for this discrepancy. Except for the observational errors, the impact of remaining error sources on ω0 retrieval is difficult to quantify.

Download & links
Jiyunting Sun et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Jiyunting Sun et al.
Jiyunting Sun et al.
Viewed
Total article views: 353 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
250 94 9 353 4 11
  • HTML: 250
  • PDF: 94
  • XML: 9
  • Total: 353
  • BibTeX: 4
  • EndNote: 11
Views and downloads (calculated since 12 Feb 2018)
Cumulative views and downloads (calculated since 12 Feb 2018)
Viewed (geographical distribution)
Total article views: 354 (including HTML, PDF, and XML) Thereof 354 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 15 Jul 2018
Publications Copernicus
Download
Short summary
Near-UV AAI is a qualitative parameter detecting the elevated absorbing aerosol layer. Long-term AAI record from satellite observations is potential to retrieve aerosol single scattering albedo on a global scale, which has significant implication to climate research. Our study presents the possibility of retrieving single scattering albedo with OMI measured AAI. The comparison with AERONET is satisfied and further improvements will be on defining heterogeneous and dynamic aerosol properties.
Near-UV AAI is a qualitative parameter detecting the elevated absorbing aerosol layer. Long-term...
Citation
Share