Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model
(2019) In Biogeosciences 16(15). p.3069-3093- Abstract
This paper presents the assimilation of solar-induced chlorophyll fluorescence (SIF) into a terrestrial biosphere model to estimate the gross uptake of carbon through photosynthesis (GPP). We use the BETHY-SCOPE model to simulate both GPP and SIF using a process-based formulation, going beyond a simple linear scaling between the two. We then use satellite SIF data from the Orbiting Carbon Observatory-2 (OCO-2) for 2015 in the data assimilation system to constrain model biophysical parameters and GPP. The assimilation results in considerable improvement in the fit between model and observed SIF, despite a limited capability to fit regions with large seasonal variability in SIF. The SIF assimilation increases global GPP by 31% to 167±5... (More)
This paper presents the assimilation of solar-induced chlorophyll fluorescence (SIF) into a terrestrial biosphere model to estimate the gross uptake of carbon through photosynthesis (GPP). We use the BETHY-SCOPE model to simulate both GPP and SIF using a process-based formulation, going beyond a simple linear scaling between the two. We then use satellite SIF data from the Orbiting Carbon Observatory-2 (OCO-2) for 2015 in the data assimilation system to constrain model biophysical parameters and GPP. The assimilation results in considerable improvement in the fit between model and observed SIF, despite a limited capability to fit regions with large seasonal variability in SIF. The SIF assimilation increases global GPP by 31% to 167±5 PgCyr-1 and shows an improvement in the global distribution of productivity relative to independent estimates, but a large difference in magnitude. This change in global GPP is driven by an overall increase in photosynthetic lightuse efficiency across almost all biomes and more minor, regionally distinct changes in APAR. This process-based data assimilation opens up new pathways to the effective utilization of satellite SIF data to improve our understanding of the global carbon cycle.
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- author
- Norton, Alexander J. ; Rayner, Peter J. ; Koffi, Ernest N. ; Scholze, Marko LU ; Silver, Jeremy D. and Wang, Ying Ping
- organization
- publishing date
- 2019-08-13
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Biogeosciences
- volume
- 16
- issue
- 15
- pages
- 25 pages
- publisher
- Copernicus GmbH
- external identifiers
-
- scopus:85070595206
- ISSN
- 1726-4170
- DOI
- 10.5194/bg-16-3069-2019
- language
- English
- LU publication?
- yes
- id
- 8e7af27c-ff17-43ed-aeb0-bdebe9a265df
- date added to LUP
- 2019-08-30 12:16:02
- date last changed
- 2022-04-26 03:47:18
@article{8e7af27c-ff17-43ed-aeb0-bdebe9a265df, abstract = {{<p>This paper presents the assimilation of solar-induced chlorophyll fluorescence (SIF) into a terrestrial biosphere model to estimate the gross uptake of carbon through photosynthesis (GPP). We use the BETHY-SCOPE model to simulate both GPP and SIF using a process-based formulation, going beyond a simple linear scaling between the two. We then use satellite SIF data from the Orbiting Carbon Observatory-2 (OCO-2) for 2015 in the data assimilation system to constrain model biophysical parameters and GPP. The assimilation results in considerable improvement in the fit between model and observed SIF, despite a limited capability to fit regions with large seasonal variability in SIF. The SIF assimilation increases global GPP by 31% to 167±5 PgCyr<sup>-1</sup> and shows an improvement in the global distribution of productivity relative to independent estimates, but a large difference in magnitude. This change in global GPP is driven by an overall increase in photosynthetic lightuse efficiency across almost all biomes and more minor, regionally distinct changes in APAR. This process-based data assimilation opens up new pathways to the effective utilization of satellite SIF data to improve our understanding of the global carbon cycle.</p>}}, author = {{Norton, Alexander J. and Rayner, Peter J. and Koffi, Ernest N. and Scholze, Marko and Silver, Jeremy D. and Wang, Ying Ping}}, issn = {{1726-4170}}, language = {{eng}}, month = {{08}}, number = {{15}}, pages = {{3069--3093}}, publisher = {{Copernicus GmbH}}, series = {{Biogeosciences}}, title = {{Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model}}, url = {{http://dx.doi.org/10.5194/bg-16-3069-2019}}, doi = {{10.5194/bg-16-3069-2019}}, volume = {{16}}, year = {{2019}}, }