Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system
The sensitivity of the process parameters of the Biosphere Energy Transfer HYdrology (BETHY) model to choices of atmospheric concentration network, high frequency terrestrial fluxes, and the choice of flux measurement network is investigated by using a carbon cycle data assimilation system. We use B...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2013-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | http://www.atmos-chem-phys.net/13/10555/2013/acp-13-10555-2013.pdf |
| _version_ | 1818886661514199040 |
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| author | E. N. Koffi P. J. Rayner M. Scholze F. Chevallier T. Kaminski |
| author_facet | E. N. Koffi P. J. Rayner M. Scholze F. Chevallier T. Kaminski |
| author_sort | E. N. Koffi |
| collection | DOAJ |
| description | The sensitivity of the process parameters of the Biosphere Energy Transfer HYdrology (BETHY) model to choices of atmospheric
concentration network, high frequency terrestrial fluxes, and the choice of
flux measurement network is investigated by using a carbon cycle data
assimilation system. We use BETHY-generated fluxes as a proxy of flux
measurements. Results show that monthly mean or low-frequency observations
of CO<sub>2</sub> concentration provide strong constraints on parameters relevant
for net flux (NEP) but only weak constraints for parameters controlling
gross fluxes. The use of high-frequency CO<sub>2</sub> concentration observations,
which has led to great refinement of spatial scales in inversions of net
flux, adds little to the observing system in the Carbon Cycle Data Assimilation System (CCDAS) case. This unexpected
result is explained by the fact that the stations of the CO<sub>2</sub>
concentration network we use are not well placed to measure such high
frequency signals. Indeed, CO<sub>2</sub> concentration sensitivities relevant for
such high frequency fluxes are found to be largely confined in the vicinity
of the corresponding fluxes, and are therefore not well observed by
background monitoring stations. In contrast, our results clearly show the
potential of flux measurements to better constrain the model parameters
relevant for gross primary productivity (GPP) and net primary productivity
(NPP). Given uncertainties in the spatial description of ecosystem
functions, we recommend a combined observing strategy. |
| first_indexed | 2024-12-19T16:24:53Z |
| format | Article |
| id | doaj.art-3b8d1e5c0ee84cb0a4969112e636553f |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-19T16:24:53Z |
| publishDate | 2013-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-3b8d1e5c0ee84cb0a4969112e636553f2022-12-21T20:14:22ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242013-11-011321105551057210.5194/acp-13-10555-2013Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation systemE. N. Koffi0P. J. Rayner1M. Scholze2F. Chevallier3T. Kaminski4Laboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR8212, Ormes des merisiers, 91191 Gif-sur-Yvette, FranceSchool of Earth Sciences, University of Melbourne, Melbourne, AustraliaSchool of Earth Sciences, University of Bristol, Queen's Road, Bristol BS8 1RJ, UKLaboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR8212, Ormes des merisiers, 91191 Gif-sur-Yvette, FranceFastOpt, Lerchenstraße 28a, 22767 Hamburg, GermanyThe sensitivity of the process parameters of the Biosphere Energy Transfer HYdrology (BETHY) model to choices of atmospheric concentration network, high frequency terrestrial fluxes, and the choice of flux measurement network is investigated by using a carbon cycle data assimilation system. We use BETHY-generated fluxes as a proxy of flux measurements. Results show that monthly mean or low-frequency observations of CO<sub>2</sub> concentration provide strong constraints on parameters relevant for net flux (NEP) but only weak constraints for parameters controlling gross fluxes. The use of high-frequency CO<sub>2</sub> concentration observations, which has led to great refinement of spatial scales in inversions of net flux, adds little to the observing system in the Carbon Cycle Data Assimilation System (CCDAS) case. This unexpected result is explained by the fact that the stations of the CO<sub>2</sub> concentration network we use are not well placed to measure such high frequency signals. Indeed, CO<sub>2</sub> concentration sensitivities relevant for such high frequency fluxes are found to be largely confined in the vicinity of the corresponding fluxes, and are therefore not well observed by background monitoring stations. In contrast, our results clearly show the potential of flux measurements to better constrain the model parameters relevant for gross primary productivity (GPP) and net primary productivity (NPP). Given uncertainties in the spatial description of ecosystem functions, we recommend a combined observing strategy.http://www.atmos-chem-phys.net/13/10555/2013/acp-13-10555-2013.pdf |
| spellingShingle | E. N. Koffi P. J. Rayner M. Scholze F. Chevallier T. Kaminski Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system Atmospheric Chemistry and Physics |
| title | Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system |
| title_full | Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system |
| title_fullStr | Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system |
| title_full_unstemmed | Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system |
| title_short | Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system |
| title_sort | quantifying the constraint of biospheric process parameters by co sub 2 sub concentration and flux measurement networks through a carbon cycle data assimilation system |
| url | http://www.atmos-chem-phys.net/13/10555/2013/acp-13-10555-2013.pdf |
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