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A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0

Knorr, Wolfgang ; Williams, Matthew ; Thum, Tea ; Kaminski, Thomas ; Voßbeck, Michael ; Scholze, Marko LU orcid ; Quaife, Tristan ; Smallman, T. Luke ; Steele-Dunne, Susan C. and Vreugdenhil, Mariette , et al. (2025) In Geoscientific Model Development 18(7). p.2137-2159
Abstract

Advances in Earth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. However, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simultaneously assimilate several such data streams. The present article discusses the requirements for such a model and presents one such model based on the combination of the existing Data Assimilation Linked Ecosystem Carbon (DALEC) land vegetation carbon cycle model with the Biosphere Energy-Transfer HYdrology (BETHY) land-surface and terrestrial... (More)

Advances in Earth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. However, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simultaneously assimilate several such data streams. The present article discusses the requirements for such a model and presents one such model based on the combination of the existing Data Assimilation Linked Ecosystem Carbon (DALEC) land vegetation carbon cycle model with the Biosphere Energy-Transfer HYdrology (BETHY) land-surface and terrestrial vegetation scheme. The resulting D&B model, made available as a community model, is presented together with a comprehensive evaluation for two selected study sites of widely varying climate. We then demonstrate the concept of land-surface modelling aided by data streams that are available from satellite remote sensing. Here we present D&B with four observation operators that translate model-derived variables into measurements available from such data streams, namely fraction of photosynthetically active radiation (FAPAR), solar-induced chlorophyll fluorescence (SIF), vegetation optical depth (VOD) at microwave frequencies and near-surface soil moisture (also available from microwave measurements). As a first step, we evaluate the combined model system using local observations and finally discuss the potential of the system presented for multi-stream data assimilation in the context of Earth observation systems.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Geoscientific Model Development
volume
18
issue
7
pages
23 pages
publisher
Copernicus GmbH
external identifiers
  • scopus:105003050385
ISSN
1991-959X
DOI
10.5194/gmd-18-2137-2025
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 Wolfgang Knorr et al.
id
040a7d17-6657-41ff-9d14-3fabbef842b3
date added to LUP
2025-05-26 08:29:33
date last changed
2025-06-04 15:37:30
@article{040a7d17-6657-41ff-9d14-3fabbef842b3,
  abstract     = {{<p>Advances in Earth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. However, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simultaneously assimilate several such data streams. The present article discusses the requirements for such a model and presents one such model based on the combination of the existing Data Assimilation Linked Ecosystem Carbon (DALEC) land vegetation carbon cycle model with the Biosphere Energy-Transfer HYdrology (BETHY) land-surface and terrestrial vegetation scheme. The resulting D&amp;B model, made available as a community model, is presented together with a comprehensive evaluation for two selected study sites of widely varying climate. We then demonstrate the concept of land-surface modelling aided by data streams that are available from satellite remote sensing. Here we present D&amp;B with four observation operators that translate model-derived variables into measurements available from such data streams, namely fraction of photosynthetically active radiation (FAPAR), solar-induced chlorophyll fluorescence (SIF), vegetation optical depth (VOD) at microwave frequencies and near-surface soil moisture (also available from microwave measurements). As a first step, we evaluate the combined model system using local observations and finally discuss the potential of the system presented for multi-stream data assimilation in the context of Earth observation systems.</p>}},
  author       = {{Knorr, Wolfgang and Williams, Matthew and Thum, Tea and Kaminski, Thomas and Voßbeck, Michael and Scholze, Marko and Quaife, Tristan and Smallman, T. Luke and Steele-Dunne, Susan C. and Vreugdenhil, Mariette and Green, Tim and Zaehle, Sönke and Aurela, Mika and Bouvet, Alexandre and Bueechi, Emanuel and Dorigo, Wouter and El-Madany, Tarek S. and Migliavacca, Mirco and Honkanen, Marika and Kerr, Yann H. and Kontu, Anna and Lemmetyinen, Juha and Lindqvist, Hannakaisa and Mialon, Arnaud and Miinalainen, Tuuli and Pique, Gaétan and Ojasalo, Amanda and Quegan, Shaun and Rayner, Peter J. and Reyes-Muñoz, Pablo and Rodríguez-Fernández, Nemesio and Schwank, Mike and Verrelst, Jochem and Zhu, Songyan and Schüttemeyer, Dirk and Drusch, Matthias}},
  issn         = {{1991-959X}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{7}},
  pages        = {{2137--2159}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Geoscientific Model Development}},
  title        = {{A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0}},
  url          = {{http://dx.doi.org/10.5194/gmd-18-2137-2025}},
  doi          = {{10.5194/gmd-18-2137-2025}},
  volume       = {{18}},
  year         = {{2025}},
}