Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 3
Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-1233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 3
Data description paper
 | 
18 Mar 2022
Data description paper |  | 18 Mar 2022

C3ONTEXT: a Common Consensus on Convective OrgaNizaTion during the EUREC4A eXperimenT

Hauke Schulz

Viewed

Total article views: 2,131 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,462 591 78 2,131 68 52
  • HTML: 1,462
  • PDF: 591
  • XML: 78
  • Total: 2,131
  • BibTeX: 68
  • EndNote: 52
Views and downloads (calculated since 09 Dec 2021)
Cumulative views and downloads (calculated since 09 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,131 (including HTML, PDF, and XML) Thereof 2,076 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 May 2024
Download
Short summary
Trade wind clouds are often organized on the mesoscale (O(100 km)), forming different cloud patterns. We present C3ONTEXT (a Common Consensus on Convective OrgaNizaTion during the EUREC4A eXperimenT), a dataset that contains information about the mesoscale cloud patterns identified during the EUREC4A (Elucidating the role of clouds–circulation coupling in climate) field campaign in January–February 2020 and thereby provide the mesoscale context for the campaign's measurements.
Read more
Special issue
Elucidating the role of clouds–circulation coupling in climate:...
Altmetrics
Final-revised paper
Preprint