Article Dans Une Revue Geoscientific Model Development Année : 2025

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

Matthew Williams
  • Fonction : Auteur
Tea Thum
Michael Voßbeck
Tristan Quaife
T. Luke Smallman
Mika Aurela
Emanuel Bueechi
  • Fonction : Auteur
Marika Honkanen
  • Fonction : Auteur
Anna Kontu
Juha Lemmetyinen
Hannakaisa Lindqvist
  • Fonction : Auteur
Tuuli Miinalainen
Gaétan Pique
Amanda Ojasalo
  • Fonction : Auteur
Shaun Quegan
  • Fonction : Auteur
Peter Rayner
  • Fonction : Auteur
Pablo Reyes-Muñoz
Nemesio Rodríguez-Fernández
  • Fonction : Auteur
Mike Schwank
  • Fonction : Auteur
Jochem Verrelst
  • Fonction : Auteur
Songyan Zhu
  • Fonction : Auteur
Dirk Schüttemeyer
Matthias Drusch
  • Fonction : Auteur

Résumé

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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hal-05024578 , version 1 (10-04-2025)

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Wolfgang Knorr, Matthew Williams, Tea Thum, Thomas Kaminski, Michael Voßbeck, et al.. A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0. Geoscientific Model Development, 2025, 18 (7), pp.2137-2159. ⟨10.5194/gmd-18-2137-2025⟩. ⟨hal-05024578⟩
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