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  How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO2 data

Rödenbeck, C., Zaehle, S., Keeling, R., & Heimann, M. (2018). How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO2 data. Biogeosciences, 15(8), 2481-2498. doi:10.5194/bg-15-2481-2018.

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http://dx.doi.org/10.5194/bg-15-2481-2018 (Publisher version)
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 Creators:
Rödenbeck, Christian1, Author           
Zaehle, Sönke2, 3, Author           
Keeling, Ralph, Author
Heimann, Martin4, Author           
Affiliations:
1Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497785              
2Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
3Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              
4Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497755              

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 Abstract: The response of the terrestrial Net Ecosystem Exchange (NEE) of CO2 to climate variations and trends may crucially
determine the future climate trajectory. Here we directly quantify this response on interannual time scales, by building a linear
regression of interannual NEE anomalies against observed air temperature anomalies into an atmospheric inverse calculation
based on long-term atmospheric CO2 observations. This allows us to estimate the sensitivity of NEE to interannual variations
in temperature (seen as climate proxy) resolved in space and with season. As this sensitivity comprises both 5 direct temperature
effects and effects of other climate variables co-varying with temperature, we interpret it as “interannual climate sensitivity”.
We find distinct seasonal patterns of this sensitivity in the northern extratropics, that are consistent with the expected seasonal
responses of photosynthesis, respiration, and fire. Within uncertainties, these sensitivity patterns are consistent with independent
inferrences from eddy covariance data. On large spatial scales, northern extratropical as well as tropical interannual NEE
10 variations inferred from the NEE-T regression are very similar to the estimates of an atmospheric inversion with explicit interannual
degrees of freedom. The results of this study can be used to benchmark ecosystem process models, to gap-fill or
extrapolate observational records, or to separate interannual variations from longer-term trends.

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 Dates: 2018-01-182018-01-222018-04
 Publication Status: Issued
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 Identifiers: Other: BGC2787
DOI: 10.5194/bg-15-2481-2018
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Title: Biogeosciences
  Other : Biogeosciences
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 15 (8) Sequence Number: - Start / End Page: 2481 - 2498 Identifier: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006