dc.contributor.author |
Sjöström, M
|
|
dc.contributor.author |
Zhao, M
|
|
dc.contributor.author |
Archibald, S
|
|
dc.contributor.author |
Arneth, A
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|
dc.contributor.author |
Cappelaere, B
|
|
dc.contributor.author |
Falk, U
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|
dc.contributor.author |
De Grandcourt, A
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|
dc.contributor.author |
Hanan, N
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|
dc.contributor.author |
Kergoat, L
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|
dc.contributor.author |
Kutsch, W
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|
dc.contributor.author |
Merbold, L
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|
dc.contributor.author |
Mougin, E
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|
dc.contributor.author |
Nickless, A
|
|
dc.contributor.author |
Nouvellon, A
|
|
dc.contributor.author |
Scholes, RJ
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|
dc.contributor.author |
Veenendaal, EM
|
|
dc.contributor.author |
Ardö, J
|
|
dc.date.accessioned |
2013-04-17T10:12:52Z |
|
dc.date.available |
2013-04-17T10:12:52Z |
|
dc.date.issued |
2013-04 |
|
dc.identifier.citation |
Sjöström, M, Zhao, M, Archibald, S, Arneth, A, Cappelaere, B, Falk, U, De Grandcourt, A, Hanan, N, Kergoat, L, Kutsch, W, Merbold, L, Mougin, E, Nickless, A, Nouvellon, Y, Scholes, RJ, Veenendaal, EM and Ardö, J. 2012. Evaluation of MODIS gross primary productivity for Africa using eddy covariance data. Fuel, vol. 131, pp 275-286 |
en_US |
dc.identifier.issn |
0034-4257 |
|
dc.identifier.uri |
http://www.sciencedirect.com/science/article/pii/S0034425712004890
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|
dc.identifier.uri |
http://hdl.handle.net/10204/6669
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|
dc.description |
Copyright: 2012 Elsevier. This is the Pre/post print version of the work. The definitive version is published in Fuel, vol. 131, pp 275-286 |
en_US |
dc.description.abstract |
MOD17A2 provides operational gross primary production (GPP) data globally at 1 km spatial resolution and 8-day temporal resolution. MOD17A2 estimates GPP according to the light use efficiency (LUE) concept assuming a fixed maximum rate of carbon assimilation per unit photosynthetically active radiation absorbed by the vegetation (emax). Minimum temperature and vapor pressure deficit derived from meteorological data down-regulate emax and constrain carbon assimilation. This data is useful for regional to global studies of the terrestrial carbon budget, climate change and natural resources. In this study we evaluated the MOD17A2 product and its driver data by using in situ measurements of meteorology and eddy covariance GPP for 12 African sites. MOD17A2 agreed well with eddy covariance GPP for wet sites. Overall, seasonality was well captured but MOD17A2 GPP was underestimated for the dry sites located in the Sahel region. Replacing the meteorological driver data derived from coarse resolution reanalysis data with tower measurements reduced MOD17A2 GPP uncertainties, however, the underestimations at the dry sites persisted. Inferred emax calculated from tower data was higher than the emax prescribed in MOD17A2. This, in addition to uncertainties in fraction of absorbed photosynthetically active radiation (FAPAR) explains some of the underestimations. The results suggest that improved quality of driver data, but primarily a readjustment of the parameters in the biome parameter look-up table (BPLUT) may be needed to better estimate GPP for African ecosystems in MOD17A2. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.relation.ispartofseries |
Workflow;10180 |
|
dc.relation.ispartofseries |
Workflow;10186 |
|
dc.subject |
Remote sensing |
en_US |
dc.subject |
Spectroradiometer |
en_US |
dc.subject |
MODIS |
en_US |
dc.subject |
Gross primary production |
en_US |
dc.subject |
GPP |
en_US |
dc.subject |
Moderate Resolution Imaging |
en_US |
dc.subject |
Biomass resources |
en_US |
dc.subject |
Intergovernmental Panel on Climate Change |
en_US |
dc.subject |
IPCC |
en_US |
dc.subject |
African climate variability |
en_US |
dc.subject |
Meteorology |
en_US |
dc.title |
Evaluation of MODIS gross primary productivity for Africa using eddy covariance data |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Sjöström, M., Zhao, M., Archibald, S., Arneth, A., Cappelaere, B., Falk, U., ... Ardö, J. (2013). Evaluation of MODIS gross primary productivity for Africa using eddy covariance data. http://hdl.handle.net/10204/6669 |
en_ZA |
dc.identifier.chicagocitation |
Sjöström, M, M Zhao, S Archibald, A Arneth, B Cappelaere, U Falk, A De Grandcourt, et al "Evaluation of MODIS gross primary productivity for Africa using eddy covariance data." (2013) http://hdl.handle.net/10204/6669 |
en_ZA |
dc.identifier.vancouvercitation |
Sjöström M, Zhao M, Archibald S, Arneth A, Cappelaere B, Falk U, et al. Evaluation of MODIS gross primary productivity for Africa using eddy covariance data. 2013; http://hdl.handle.net/10204/6669. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Sjöström, M
AU - Zhao, M
AU - Archibald, S
AU - Arneth, A
AU - Cappelaere, B
AU - Falk, U
AU - De Grandcourt, A
AU - Hanan, N
AU - Kergoat, L
AU - Kutsch, W
AU - Merbold, L
AU - Mougin, E
AU - Nickless, A
AU - Nouvellon, A
AU - Scholes, RJ
AU - Veenendaal, EM
AU - Ardö, J
AB - MOD17A2 provides operational gross primary production (GPP) data globally at 1 km spatial resolution and 8-day temporal resolution. MOD17A2 estimates GPP according to the light use efficiency (LUE) concept assuming a fixed maximum rate of carbon assimilation per unit photosynthetically active radiation absorbed by the vegetation (emax). Minimum temperature and vapor pressure deficit derived from meteorological data down-regulate emax and constrain carbon assimilation. This data is useful for regional to global studies of the terrestrial carbon budget, climate change and natural resources. In this study we evaluated the MOD17A2 product and its driver data by using in situ measurements of meteorology and eddy covariance GPP for 12 African sites. MOD17A2 agreed well with eddy covariance GPP for wet sites. Overall, seasonality was well captured but MOD17A2 GPP was underestimated for the dry sites located in the Sahel region. Replacing the meteorological driver data derived from coarse resolution reanalysis data with tower measurements reduced MOD17A2 GPP uncertainties, however, the underestimations at the dry sites persisted. Inferred emax calculated from tower data was higher than the emax prescribed in MOD17A2. This, in addition to uncertainties in fraction of absorbed photosynthetically active radiation (FAPAR) explains some of the underestimations. The results suggest that improved quality of driver data, but primarily a readjustment of the parameters in the biome parameter look-up table (BPLUT) may be needed to better estimate GPP for African ecosystems in MOD17A2.
DA - 2013-04
DB - ResearchSpace
DP - CSIR
KW - Remote sensing
KW - Spectroradiometer
KW - MODIS
KW - Gross primary production
KW - GPP
KW - Moderate Resolution Imaging
KW - Biomass resources
KW - Intergovernmental Panel on Climate Change
KW - IPCC
KW - African climate variability
KW - Meteorology
LK - https://researchspace.csir.co.za
PY - 2013
SM - 0034-4257
T1 - Evaluation of MODIS gross primary productivity for Africa using eddy covariance data
TI - Evaluation of MODIS gross primary productivity for Africa using eddy covariance data
UR - http://hdl.handle.net/10204/6669
ER -
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en_ZA |