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Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink?

Seiler, Christian ; Melton, Joe R.; Arora, Vivek K.; Sitch, Stephen; Friedlingstein, Pierre; Anthoni, Peter 1; Goll, Daniel; Jain, Atul K.; Joetzjer, Emilie; Lienert, Sebastian; Lombardozzi, Danica; Luyssaert, Sebastiaan; Nabel, Julia E. M. S.; Tian, Hanqin; Vuichard, Nicolas; Walker, Anthony P.; Yuan, Wenping; Zaehle, Sönke
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

The Global Carbon Project estimates that the terrestrial biosphere has absorbed about one-third of anthropogenic CO$_2$ emissions during the 1959–2019 period. This sink-estimate is produced by an ensemble of terrestrial biosphere models and is consistent with the land uptake inferred from the residual of emissions and ocean uptake. The purpose of our study is to understand how well terrestrial biosphere models reproduce the processes that drive the terrestrial carbon sink. One challenge is to decide what level of agreement between model output and observation-based reference data is adequate considering that reference data are prone to uncertainties. To define such a level of agreement, we compute benchmark scores that quantify the similarity between independently derived reference data sets using multiple statistical metrics. Models are considered to perform well if their model scores reach benchmark scores. Our results show that reference data can differ considerably, causing benchmark scores to be low. Model scores are often of similar magnitude as benchmark scores, implying that model performance is reasonable given how different reference data are. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000147695
Veröffentlicht am 07.06.2022
Originalveröffentlichung
DOI: 10.1029/2021MS002946
Scopus
Zitationen: 29
Dimensions
Zitationen: 44
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2022
Sprache Englisch
Identifikator ISSN: 1942-2466
KITopen-ID: 1000147695
HGF-Programm 12.11.21 (POF IV, LK 01) Natural ecosystems as sources and sinks of GHGs
Erschienen in Journal of Advances in Modeling Earth Systems
Verlag American Geophysical Union (AGU)
Band 14
Heft 5
Seiten e2021MS002946
Vorab online veröffentlicht am 04.05.2022
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