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| Titel |
Towards a more objective evaluation of modelled land-carbon trends using atmospheric CO2 and satellite-based vegetation activity observations |
| VerfasserIn |
D. Dalmonech, S. Zaehle |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 10, no. 6 ; Nr. 10, no. 6 (2013-06-25), S.4189-4210 |
| Datensatznummer |
250018307
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| Publikation (Nr.) |
 copernicus.org/bg-10-4189-2013.pdf |
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| Zusammenfassung |
Terrestrial ecosystem models used for Earth system modelling show a
significant divergence in future patterns of ecosystem processes, in
particular the net land–atmosphere carbon exchanges, despite a seemingly
common behaviour for the contemporary period. An in-depth evaluation of
these models is hence of high importance to better understand the reasons
for this disagreement.
Here, we develop an extension for existing benchmarking systems by making use
of the complementary information contained in the observational records of
atmospheric CO2 and remotely sensed vegetation activity to provide a
novel set of diagnostics of ecosystem responses to climate variability in the
last 30 yr at different temporal and spatial scales. The selection of
observational characteristics (traits) specifically considers the robustness
of information given that the uncertainty of both data and evaluation
methodology is largely unknown or difficult to quantify.
Based on these considerations, we introduce a baseline benchmark – a minimum
test that any model has to pass – to provide a more objective, quantitative
evaluation framework. The benchmarking strategy can be used for any land
surface model, either driven by observed meteorology or coupled to a climate
model.
We apply this framework to evaluate the offline version of the MPI Earth
System Model's land surface scheme JSBACH. We demonstrate that the
complementary use of atmospheric CO2 and satellite-based vegetation
activity data allows pinpointing of specific model deficiencies that would not
be possible by the sole use of atmospheric CO2 observations. |
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