Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5813-2018
https://doi.org/10.5194/amt-11-5813-2018
Research article
 | 
23 Oct 2018
Research article |  | 23 Oct 2018

Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm

Jingfeng Huang, Istvan Laszlo, Lorraine A. Remer, Hongqing Liu, Hai Zhang, Pubu Ciren, and Shobha Kondragunta

Viewed

Total article views: 2,407 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,531 830 46 2,407 61 62
  • HTML: 1,531
  • PDF: 830
  • XML: 46
  • Total: 2,407
  • BibTeX: 61
  • EndNote: 62
Views and downloads (calculated since 25 May 2018)
Cumulative views and downloads (calculated since 25 May 2018)

Viewed (geographical distribution)

Total article views: 2,407 (including HTML, PDF, and XML) Thereof 2,231 with geography defined and 176 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Mar 2024
Download
Short summary
A new snow/snowmelt screening approach – combining a normalized difference snow index (NDSI)- and brightness temperature (BT)-based snow test, snow adjacency test and spatial filter – is proposed to significantly reduce the snow/snowmelt contamination in the NOAA’s operational Visible Infrared Imaging Radiometer Suite (VIIRS) aerosol optical depth (AOD) product, particularly over Northern Hemisphere high-latitude regions during spring thaw.