Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/gmd-13-2451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
Development and technical paper
 | 
27 May 2020
Development and technical paper |  | 27 May 2020

Satellite-derived leaf area index and roughness length information for surface–atmosphere exchange modelling: a case study for reactive nitrogen deposition in north-western Europe using LOTOS-EUROS v2.0

Shelley C. van der Graaf, Richard Kranenburg, Arjo J. Segers, Martijn Schaap, and Jan Willem Erisman

Viewed

Total article views: 3,730 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,517 1,129 84 3,730 204 108 137
  • HTML: 2,517
  • PDF: 1,129
  • XML: 84
  • Total: 3,730
  • Supplement: 204
  • BibTeX: 108
  • EndNote: 137
Views and downloads (calculated since 01 Oct 2019)
Cumulative views and downloads (calculated since 01 Oct 2019)

Viewed (geographical distribution)

Total article views: 3,730 (including HTML, PDF, and XML) Thereof 3,283 with geography defined and 447 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
Download
Short summary
Chemical transport models (CTMs) are important tools to determine the fate of reactive nitrogen (Nr) emissions. The parameterization of the surface–atmosphere exchange in CTMs is often only linked to fixed, land-use-dependent values. In this paper, we present an approach to derive more realistic, dynamic leaf area index (LAI) and roughness length (z0) input maps using multiple satellite products. We evaluate the effect on Nr concentration and deposition fields modelled in the LOTOS-EUROS CTM.
Read more
Share