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Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model

Norton, Alexander J.; Rayner, Peter J.; Koffi, Ernest N.; Scholze, Marko LU ; Silver, Jeremy D. and Wang, Ying Ping (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
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Biogeosciences
volume
16
issue
15
pages
25 pages
publisher
Copernicus Publications
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
2019-09-17 04:59:40
@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 Publications},
  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},
  volume       = {16},
  year         = {2019},
}