Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 21
Articles | Volume 17, issue 21
https://doi.org/10.5194/amt-17-6301-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-17-6301-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 21
Research article
 | 
30 Oct 2024
Research article |  | 30 Oct 2024

An improved geolocation methodology for spaceborne radar and lidar systems

Bernat Puigdomènech Treserras and Pavlos Kollias

Viewed

Total article views: 577 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
440 96 41 577 30 29
  • HTML: 440
  • PDF: 96
  • XML: 41
  • Total: 577
  • BibTeX: 30
  • EndNote: 29
Views and downloads (calculated since 31 May 2024)
Cumulative views and downloads (calculated since 31 May 2024)

Viewed (geographical distribution)

Total article views: 577 (including HTML, PDF, and XML) Thereof 624 with geography defined and -47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
The paper presents a comprehensive approach to improve the geolocation accuracy of spaceborne radar and lidar systems, crucial for the successful interpretation of data from the upcoming EarthCARE mission. The paper details the technical background of the presented methods and various examples of geolocation analyses, including a short period of CloudSat observations when the star tracker was not operating properly and lifetime statistics from the CloudSat and CALIPSO missions.
Read more
Special issue
EarthCARE Level 2 algorithms and data products