Articles | Volume 21, issue 22
https://doi.org/10.5194/bg-21-5277-2024
https://doi.org/10.5194/bg-21-5277-2024
Research article
 | 
27 Nov 2024
Research article |  | 27 Nov 2024

Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules

Sven Armin Westermann, Anke Hildebrandt, Souhail Bousetta, and Stephan Thober

Viewed

Total article views: 1,043 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
776 212 55 1,043 24 41 37
  • HTML: 776
  • PDF: 212
  • XML: 55
  • Total: 1,043
  • Supplement: 24
  • BibTeX: 41
  • EndNote: 37
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads (calculated since 16 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,043 (including HTML, PDF, and XML) Thereof 1,026 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2025
Download
Short summary
Plants at the land surface mediate between soil and the atmosphere regarding water and carbon transport. Since plant growth is a dynamic process, models need to consider these dynamics. Two models that predict water and carbon fluxes by considering plant temporal evolution were tested against observational data. Currently, dynamizing plants in these models did not enhance their representativeness, which is caused by a mismatch between implemented physical relations and observable connections.
Share
Altmetrics
Final-revised paper
Preprint