Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data
Natasha Macbean
(1)
,
Fabienne Maignan
(1, 2)
,
Cedric Bacour
(3)
,
Philip Lewis
(4)
,
Philippe Peylin
(1, 2)
,
Luis Guanter
(5)
,
Philipp Köhler
(6)
,
Jose Gómez-Dans
(7, 4)
,
Mathias Disney
(4, 7)
1
LSCE -
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
2 MOSAIC - Modélisation des Surfaces et Interfaces Continentales
3 NOVELTIS [Sté]
4 Department of Geography
5 GFZ - German Research Centre for Geosciences - Helmholtz-Centre Potsdam
6 CALTECH - California Institute of Technology
7 NCEO - NERC National Centre for Earth Observation
2 MOSAIC - Modélisation des Surfaces et Interfaces Continentales
3 NOVELTIS [Sté]
4 Department of Geography
5 GFZ - German Research Centre for Geosciences - Helmholtz-Centre Potsdam
6 CALTECH - California Institute of Technology
7 NCEO - NERC National Centre for Earth Observation
Natasha Macbean
- Fonction : Auteur
- PersonId : 783870
- ORCID : 0000-0001-6797-4836
Fabienne Maignan
- Fonction : Auteur
- PersonId : 183235
- IdHAL : fabienne-maignan
- ORCID : 0000-0001-5024-5928
- IdRef : 151921547
Cedric Bacour
- Fonction : Auteur
- PersonId : 754184
- IdHAL : cedric-bacour
- ORCID : 0000-0002-1913-3722
- IdRef : 067111939
Philip Lewis
- Fonction : Auteur
- PersonId : 769881
- ORCID : 0000-0002-2868-2459
Philippe Peylin
- Fonction : Auteur
- PersonId : 740342
- IdHAL : philippe-peylin
- ORCID : 0000-0001-9335-6994
- IdRef : 189760133
Luis Guanter
- Fonction : Auteur
- PersonId : 1060172
Philipp Köhler
- Fonction : Auteur
- PersonId : 798901
- ORCID : 0000-0002-7820-1318
Jose Gómez-Dans
- Fonction : Auteur
Résumé
Accurate terrestrial biosphere model (TBM) simulations of gross carbon uptake (gross primary productivity-GPP) are essential for reliable future terrestrial carbon sink projections. However, uncertainties in TBM GPP estimates remain. Newly-available satellite-derived sun-induced chlorophyll fluorescence (SIF) data offer a promising direction for addressing this issue by constraining regional-to-global scale modelled GPP. Here, we use monthly 0.5° GOME-2 SIF data from 2007 to 2011 to optimise GPP parameters of the ORCHIDEE TBM. The optimisation reduces GPP magnitude across all vegetation types except C4 plants. Global mean annual GPP therefore decreases from 194 ± 57 PgCyr −1 to 166 ± 10 PgCyr −1 , bringing the model more in line with an up-scaled flux tower estimate of 133 PgCyr −1. Strongest reductions in GPP are seen in boreal forests: the result is a shift in global GPP distribution, with a ~50% increase in the tropical to boreal productivity ratio. The optimisation resulted in a greater reduction in GPP than similar ORCHIDEE parameter optimisation studies using satellite-derived NDVI from MODIS and eddy covariance measurements of net CO 2 fluxes from the FLUXNET network. Our study shows that SIF data will be instrumental in constraining TBM GPP estimates, with a consequent improvement in global carbon cycle projections.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data
|
Résumé |
en
Accurate terrestrial biosphere model (TBM) simulations of gross carbon uptake (gross primary productivity-GPP) are essential for reliable future terrestrial carbon sink projections. However, uncertainties in TBM GPP estimates remain. Newly-available satellite-derived sun-induced chlorophyll fluorescence (SIF) data offer a promising direction for addressing this issue by constraining regional-to-global scale modelled GPP. Here, we use monthly 0.5° GOME-2 SIF data from 2007 to 2011 to optimise GPP parameters of the ORCHIDEE TBM. The optimisation reduces GPP magnitude across all vegetation types except C4 plants. Global mean annual GPP therefore decreases from 194 ± 57 PgCyr −1 to 166 ± 10 PgCyr −1 , bringing the model more in line with an up-scaled flux tower estimate of 133 PgCyr −1. Strongest reductions in GPP are seen in boreal forests: the result is a shift in global GPP distribution, with a ~50% increase in the tropical to boreal productivity ratio. The optimisation resulted in a greater reduction in GPP than similar ORCHIDEE parameter optimisation studies using satellite-derived NDVI from MODIS and eddy covariance measurements of net CO 2 fluxes from the FLUXNET network. Our study shows that SIF data will be instrumental in constraining TBM GPP estimates, with a consequent improvement in global carbon cycle projections.
|
Auteur(s) |
Natasha Macbean
1
, Fabienne Maignan
1, 2
, Cedric Bacour
3
, Philip Lewis
4
, Philippe Peylin
1, 2
, Luis Guanter
5
, Philipp Köhler
6
, Jose Gómez-Dans
7, 4
, Mathias Disney
4, 7
1
LSCE -
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
( 518 )
- Bât. 12,
avenue de la Terrasse,
F-91198 GIF-SUR-YVETTE CEDEX
- France
2
MOSAIC -
Modélisation des Surfaces et Interfaces Continentales
( 1007951 )
- LSCE. CEA Paris-Saclay. Orme des merisiers. 91190 Saint-Aubin.
- France
3
NOVELTIS [Sté]
( 73678 )
- France
4
Department of Geography
( 97595 )
- University College London 26 Bedford way London WC1H OAP
- Royaume-Uni
5
GFZ -
German Research Centre for Geosciences - Helmholtz-Centre Potsdam
( 239972 )
- Telegrafenberg, 14473 Potsdam
- Allemagne
6
CALTECH -
California Institute of Technology
( 340667 )
- 1200 East California Blvd, Pasadena, California 91125
- États-Unis
7
NCEO -
NERC National Centre for Earth Observation
( 455813 )
- Royaume-Uni
|
Date de publication |
2018
|
Page/Identifiant |
1973
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Volume |
8
|
Domaine(s) |
|
DOI | 10.1038/s41598-018-20024-w |
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s41598-018-20024-w.pdf ( 5.75 Mo
)
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)
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