Articles | Volume 13, issue 5
Geosci. Model Dev., 13, 2451–2474, 2020
https://doi.org/10.5194/gmd-13-2451-2020
Geosci. Model Dev., 13, 2451–2474, 2020
https://doi.org/10.5194/gmd-13-2451-2020

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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shelley C. van der Graaf on behalf of the Authors (13 Feb 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Feb 2020) by Jason Williams
RR by Anonymous Referee #2 (09 Mar 2020)
RR by Anonymous Referee #1 (10 Mar 2020)
ED: Publish subject to minor revisions (review by editor) (10 Mar 2020) by Jason Williams
AR by Shelley C. van der Graaf on behalf of the Authors (27 Mar 2020)  Author's response    Manuscript
ED: Publish as is (13 Apr 2020) by Jason Williams
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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.