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Marko Scholze

Senior lecturer

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

Author

  • Wolfgang Knorr
  • Matthew Williams
  • Tea Thum
  • Thomas Kaminski
  • Michael Voßbeck
  • Marko Scholze
  • Tristan Quaife
  • T. Luke Smallman
  • Susan C. Steele-Dunne
  • Mariette Vreugdenhil
  • Tim Green
  • Sönke Zaehle
  • Mika Aurela
  • Alexandre Bouvet
  • Emanuel Bueechi
  • Wouter Dorigo
  • Tarek S. El-Madany
  • Mirco Migliavacca
  • Marika Honkanen
  • Yann H. Kerr
  • Anna Kontu
  • Juha Lemmetyinen
  • Hannakaisa Lindqvist
  • Arnaud Mialon
  • Tuuli Miinalainen
  • Gaétan Pique
  • Amanda Ojasalo
  • Shaun Quegan
  • Peter J. Rayner
  • Pablo Reyes-Muñoz
  • Nemesio Rodríguez-Fernández
  • Mike Schwank
  • Jochem Verrelst
  • Songyan Zhu
  • Dirk Schüttemeyer
  • Matthias Drusch
Show all

Summary, in English

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.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • LTH Profile Area: Aerosols
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • eSSENCE: The e-Science Collaboration
  • MERGE: ModElling the Regional and Global Earth system

Publishing year

2025-04-08

Language

English

Pages

2137-2159

Publication/Series

Geoscientific Model Development

Volume

18

Issue

7

Document type

Journal article

Publisher

Copernicus GmbH

Topic

  • Physical Geography

Status

Published

ISBN/ISSN/Other

  • ISSN: 1991-959X