
Marko Scholze
Senior lecturer

Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0 : Model description and information content
Author
Summary, in English
The synthesis of model and observational information using data assimilation can improve our understanding of the terrestrial carbon cycle, a key component of the Earth's climate-carbon system. Here we provide a data assimilation framework for combining observations of solar-induced chlorophyll fluorescence (SIF) and a process-based model to improve estimates of terrestrial carbon uptake or gross primary production (GPP). We then quantify and assess the constraint SIF provides on the uncertainty in global GPP through model process parameters in an error propagation study. By incorporating 1 year of SIF observations from the GOSAT satellite, we find that the parametric uncertainty in global annual GPP is reduced by 73ĝ€% from ±19.0 to ±5.2ĝ€Pgĝ€†Cĝ€†yrĝ-1. This improvement is achieved through strong constraint of leaf growth processes and weak to moderate constraint of physiological parameters. We also find that the inclusion of uncertainty in shortwave down-radiation forcing has a net-zero effect on uncertainty in GPP when incorporated into the SIF assimilation framework. This study demonstrates the powerful capacity of SIF to reduce uncertainties in process-based model estimates of GPP and the potential for improving our predictive capability of this uncertain carbon flux.
Department/s
- Dept of Physical Geography and Ecosystem Science
- eSSENCE: The e-Science Collaboration
- MERGE: ModElling the Regional and Global Earth System
- BECC: Biodiversity and Ecosystem services in a Changing Climate
Publishing year
2018-04-17
Language
English
Pages
1517-1536
Publication/Series
Geoscientific Model Development
Volume
11
Issue
4
Document type
Journal article
Publisher
Copernicus GmbH
Topic
- Other Earth and Related Environmental Sciences
Status
Published
ISBN/ISSN/Other
- ISSN: 1991-959X