Articles | Volume 18, issue 7
https://doi.org/10.5194/gmd-18-2137-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-2137-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Apr 2025
Model description paper |
| 08 Apr 2025
| 08 Apr 2025
A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0
Wolfgang Knorr
CORRESPONDING AUTHOR
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Matthew Williams
School of Geosciences, The University of Edinburgh, Edinburgh, UK
Finnish Meteorological Institute, Helsinki, Finland
Thomas Kaminski
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Michael Voßbeck
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Marko Scholze
Department of Geography and Ecosystem Science, Lund University, Lund, Sweden
Tristan Quaife
Department of Meteorology, University of Reading, Reading, UK
T. Luke Smallman
School of Geosciences, The University of Edinburgh, Edinburgh, UK
Susan C. Steele-Dunne
Department of Geosciences and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
Tim Green
School of Geosciences, The University of Edinburgh, Edinburgh, UK
Sönke Zaehle
Max Planck Institute for Biogeochemistry, Jena, Germany
Mika Aurela
Finnish Meteorological Institute, Helsinki, Finland
Alexandre Bouvet
DG Joint Research Centre, European Commission, Ispra, Italy
Emanuel Bueechi
Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
Wouter Dorigo
Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
Tarek S. El-Madany
Max Planck Institute for Biogeochemistry, Jena, Germany
Mirco Migliavacca
Max Planck Institute for Biogeochemistry, Jena, Germany
DG Joint Research Centre, European Commission, Ispra, Italy
Marika Honkanen
Finnish Meteorological Institute, Helsinki, Finland
Yann H. Kerr
Centre d’études Spatiales de la Biosphère (CESBIO), Université de Toulouse 3 (Paul Sabatier), Centre National de la Recherche Scientifique, Centre National d’Etudes Spatiales, Institut de Recherche pour le Développement, Institut National de Recherches pour l’Agriculture, l’Alimentation et l’Environnement, Toulouse, France
Anna Kontu
Finnish Meteorological Institute, Helsinki, Finland
Juha Lemmetyinen
Finnish Meteorological Institute, Helsinki, Finland
Hannakaisa Lindqvist
Finnish Meteorological Institute, Helsinki, Finland
Arnaud Mialon
Centre d’études Spatiales de la Biosphère (CESBIO), Université de Toulouse 3 (Paul Sabatier), Centre National de la Recherche Scientifique, Centre National d’Etudes Spatiales, Institut de Recherche pour le Développement, Institut National de Recherches pour l’Agriculture, l’Alimentation et l’Environnement, Toulouse, France
Tuuli Miinalainen
Finnish Meteorological Institute, Helsinki, Finland
Gaétan Pique
Centre d’études Spatiales de la Biosphère (CESBIO), Université de Toulouse 3 (Paul Sabatier), Centre National de la Recherche Scientifique, Centre National d’Etudes Spatiales, Institut de Recherche pour le Développement, Institut National de Recherches pour l’Agriculture, l’Alimentation et l’Environnement, Toulouse, France
Amanda Ojasalo
Finnish Meteorological Institute, Helsinki, Finland
Shaun Quegan
School of Mathematical and Physical Sciences, University of Sheffield, Sheffield, UK
Peter J. Rayner
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Pablo Reyes-Muñoz
Laboratory of Earth Observation, Image Processing Laboratory, University of Valencia, Valencia, Spain
Nemesio Rodríguez-Fernández
DG Joint Research Centre, European Commission, Ispra, Italy
Mike Schwank
Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
Jochem Verrelst
Laboratory of Earth Observation, Image Processing Laboratory, University of Valencia, Valencia, Spain
Songyan Zhu
School of Geosciences, The University of Edinburgh, Edinburgh, UK
Dirk Schüttemeyer
European Space Agency, ESTEC, Noordwijk, the Netherlands
Matthias Drusch
European Space Agency, ESTEC, Noordwijk, the Netherlands
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Cited
3 citations as recorded by crossref.
- Global Sensitivity Analysis of the Historical Carbon Sink across Biomes R. Deepak et al. 10.1080/07055900.2025.2552952
- Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods S. Beylat et al. 10.5194/gmd-18-7501-2025
- Global Sensitivity Analysis of the Future Land Carbon Sink R. Deepak et al. 10.1080/07055900.2025.2540430
2 citations as recorded by crossref.
1 citations as recorded by crossref.
Latest update: 30 Oct 2025
Short summary
When it comes to climate change, the land surface is where the vast majority of impacts happen. The task of monitoring those impacts across the globe is formidable and must necessarily rely on satellites – at a significant cost: the measurements are only indirect and require comprehensive physical understanding. We have created a comprehensive modelling system that we offer to the research community to explore how satellite data can be better exploited to help us capture the changes that happen on our lands.
When it comes to climate change, the land surface is where the vast majority of impacts happen....
