Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 20
Articles | Volume 16, issue 20
https://doi.org/10.5194/amt-16-4927-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-4927-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 20
Research article
 | 
27 Oct 2023
Research article |  | 27 Oct 2023

Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system

Zhipeng Qu, David P. Donovan, Howard W. Barker, Jason N. S. Cole, Mark W. Shephard, and Vincent Huijnen

Viewed

Total article views: 1,581 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,109 413 59 1,581 136 54 41
  • HTML: 1,109
  • PDF: 413
  • XML: 59
  • Total: 1,581
  • Supplement: 136
  • BibTeX: 54
  • EndNote: 41
Views and downloads (calculated since 21 Nov 2022)
Cumulative views and downloads (calculated since 21 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,581 (including HTML, PDF, and XML) Thereof 1,557 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
The EarthCARE satellite mission Level 2 algorithm development requires realistic 3D cloud and aerosol scenes along the satellite orbits. One of the best ways to produce these scenes is to use a high-resolution numerical weather prediction model to simulate atmospheric conditions at 250 m horizontal resolution. This paper describes the production and validation of three EarthCARE test scenes.
Read more
Special issue
EarthCARE Level 2 algorithms and data products