atmospheric co2 observations and models suggest strong carbon uptake by forests in new zealand

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ID: 218037
2017
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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.
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steinkamp2017atmosphericatmospheric Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;K. Steinkamp;S. E. Mikaloff Fletcher;G. Brailsford;D. Smale;S. Moore;E. D. Keller;W. T. Baisden;H. Mukai;B. B. Stephens
Journal Journal of agricultural and food chemistry
Year 2017
DOI
10.5194/acp-17-47-2017
URL
http://www.atmos-chem-phys.net/17/47/2017/acp-17-47-2017.pdf
Keywords
physicschemistry

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