Atmospheric CO<sub>2</sub> observations and models suggest strong carbon uptake by forests in New Zealand
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Published:2017-01-02
Issue:1
Volume:17
Page:47-76
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Steinkamp Kay, Mikaloff Fletcher Sara E.ORCID, Brailsford Gordon, Smale DanORCID, Moore Stuart, Keller Elizabeth D.ORCID, Baisden W. TroyORCID, Mukai Hitoshi, Stephens Britton B.ORCID
Abstract
Abstract. A regional atmospheric inversion method has been developed to determine the spatial and temporal distribution of CO2 sinks and sources across New Zealand for 2011–2013. This approach infers net air–sea and air–land CO2 fluxes from measurement records, using back-trajectory simulations from the Numerical Atmospheric dispersion Modelling Environment (NAME) Lagrangian dispersion model, driven by meteorology from the New Zealand Limited Area Model (NZLAM) weather prediction model. The inversion uses in situ measurements from two fixed sites, Baring Head on the southern tip of New Zealand's North Island (41.408° S, 174.871° E) and Lauder from the central South Island (45.038° S, 169.684° E), and ship board data from monthly cruises between Japan, New Zealand, and Australia. A range of scenarios is used to assess the sensitivity of the inversion method to underlying assumptions and to ensure robustness of the results. The results indicate a strong seasonal cycle in terrestrial land fluxes from the South Island of New Zealand, especially in western regions covered by indigenous forest, suggesting higher photosynthetic and respiratory activity than is evident in the current a priori land process model. On the annual scale, the terrestrial biosphere in New Zealand is estimated to be a net CO2 sink, removing 98 (±37) Tg CO2 yr−1 from the atmosphere on average during 2011–2013. This sink is much larger than the reported 27 Tg CO2 yr−1 from the national inventory for the same time period. The difference can be partially reconciled when factors related to forest and agricultural management and exports, fossil fuel emission estimates, hydrologic fluxes, and soil carbon change are considered, but some differences are likely to remain. Baseline uncertainty, model transport uncertainty, and limited sensitivity to the northern half of the North Island are the main contributors to flux uncertainty.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference82 articles.
1. Allan, D. W.: Statistics of atomic frequency standards, IEEE Proc., 54, 221–230, 1966. 2. Baisden, W. T. and Manning, M. R.: Editorial: The New Zealand carbon cycle: from regional budget to global cycle, Biogeochemistry, 104, 1–4, https://doi.org/10.1007/s10533-011-9579-x, 2011. 3. Baker, D., Law, R., Gurney, K., Rayner, P., Peylin, P., Denning, A., Bousquet, P., Bruhwiler, L., Chen, Y. H., and Ciais, P.: TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003, Global Biogeochem. Cy., 20, GB1002, https://doi.org/10.1029/2004GB002439, 2006. 4. Bergamaschi, P., Krol, M., Meirink, J. F., Dentener, F., Segers, A., van Aardenne, J., Monni, S., Vermeulen, A. T., Schmidt, M., Ramonet, M., Yver, C., Meinhardt, F., Nisbet, E. G., Fisher, R. E., O'Doherty, S., and Dlugokencky, E. J.: Inverse modeling of European CH4emissions 2001–2006, J. Geophys. Res., 115, D22309, https://doi.org/10.1029/2010jd014180, 2010. 5. Blunden, J. and Arndt, D. S.: State of the Climate in 2013, B. Am. Meteorol. Soc., 95, 1–257, 2014.
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