Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 27–42, 2021
https://doi.org/10.5194/gmd-14-27-2021
Geosci. Model Dev., 14, 27–42, 2021
https://doi.org/10.5194/gmd-14-27-2021
Development and technical paper
05 Jan 2021
Development and technical paper | 05 Jan 2021

Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum

Jianglong Zhang et al.

Viewed

Total article views: 1,383 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
934 414 35 1,383 126 40 39
  • HTML: 934
  • PDF: 414
  • XML: 35
  • Total: 1,383
  • Supplement: 126
  • BibTeX: 40
  • EndNote: 39
Views and downloads (calculated since 08 Jul 2020)
Cumulative views and downloads (calculated since 08 Jul 2020)

Viewed (geographical distribution)

Total article views: 1,221 (including HTML, PDF, and XML) Thereof 1,217 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Aug 2022
Download
Short summary
A first-of-its-kind scheme has been developed for assimilating Ozone Monitoring Instrument (OMI) aerosol index (AI) measurements into the Naval Aerosol Analysis and Predictive System. Improvements in model simulations demonstrate the utility of OMI AI data assimilation for improving the accuracy of aerosol model analysis over cloudy regions and bright surfaces. This study can be considered one of the first attempts at direct radiance assimilation in the UV spectrum for aerosol analyses.