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

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

doi:https://doi.org/10.5194/gmd-13-2451-2020

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

Supplement

https://doi.org/10.5194/gmd-13-2451-2020-supplement

Data sets

LOTOS-EUROS v2.0 TNO https://lotos-euros.tno.nl/

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.