Preprints
https://doi.org/10.5194/egusphere-2024-3866
https://doi.org/10.5194/egusphere-2024-3866
06 Jan 2025
 | 06 Jan 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Inverse modelling of New Zealand's carbon dioxide balance estimates a larger than expected carbon sink

Beata Bukosa, Sara Mikaloff-Fletcher, Gordon Brailsford, Dan Smale, Elizabeth D. Keller, W. Troy Baisden, Miko U. F. Kirschbaum, Donna L. Giltrap, Lìyı̌n Liáng, Stuart Moore, Rowena Moss, Sylvia Nichol, Jocelyn Turnbull, Alex Geddes, Daemon Kennett, Dora Hidy, Zoltán Barcza, Louis A. Schipper, Aaron M. Wall, Shin-Ichiro Nakaoka, Hitoshi Mukai, and Andrea Brandon

Abstract. Accurate national scale greenhouse gas source and sink estimates are essential to track climate mitigation efforts. Inverse models can complement inventory-based approaches for emissions reporting by providing independent estimates underpinned by atmospheric measurements, yet few nations have developed this capability for carbon dioxide (CO2). We present results from a decade-long (2011–2020) national inverse modelling study for New Zealand, which suggests a persistent carbon sink in New Zealand’s terrestrial biosphere (-171 ± 29 Tg CO2 yr−1). This sink is larger than expected from either New Zealand’s Greenhouse Gas Inventory (-24 Tg CO2 yr−1) or prior terrestrial biosphere model estimates (-118 ± 22 Tg CO2 yr−1, Biome-BGCMuSo and CenW). The largest differences are in New Zealand’s South Island, in regions dominated by mature indigenous forests, generally considered to be near equilibrium, and certain grazed pasture regions. Relative to prior estimates, the inversion points to a reduced net CO2 flux to the atmosphere during the autumn/winter period. The overall findings of this study are robust with respect to extensive tests to assess the potential biases in the inverse model due to transport error, prior biosphere, ocean and fossil-fuel estimates, background CO2 and diurnal cycles. We have identified CO2 exchange processes that could contribute to the gap between the inverse, prior and inventory estimates, but the magnitude of the fluxes from these processes cannot entirely explain the differences. Further work to identify the cause for the gap is essential to understand the implications of this finding for New Zealand’s inventory and climate mitigation strategies.

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Beata Bukosa, Sara Mikaloff-Fletcher, Gordon Brailsford, Dan Smale, Elizabeth D. Keller, W. Troy Baisden, Miko U. F. Kirschbaum, Donna L. Giltrap, Lìyı̌n Liáng, Stuart Moore, Rowena Moss, Sylvia Nichol, Jocelyn Turnbull, Alex Geddes, Daemon Kennett, Dora Hidy, Zoltán Barcza, Louis A. Schipper, Aaron M. Wall, Shin-Ichiro Nakaoka, Hitoshi Mukai, and Andrea Brandon

Status: open (until 17 Feb 2025)

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Beata Bukosa, Sara Mikaloff-Fletcher, Gordon Brailsford, Dan Smale, Elizabeth D. Keller, W. Troy Baisden, Miko U. F. Kirschbaum, Donna L. Giltrap, Lìyı̌n Liáng, Stuart Moore, Rowena Moss, Sylvia Nichol, Jocelyn Turnbull, Alex Geddes, Daemon Kennett, Dora Hidy, Zoltán Barcza, Louis A. Schipper, Aaron M. Wall, Shin-Ichiro Nakaoka, Hitoshi Mukai, and Andrea Brandon
Beata Bukosa, Sara Mikaloff-Fletcher, Gordon Brailsford, Dan Smale, Elizabeth D. Keller, W. Troy Baisden, Miko U. F. Kirschbaum, Donna L. Giltrap, Lìyı̌n Liáng, Stuart Moore, Rowena Moss, Sylvia Nichol, Jocelyn Turnbull, Alex Geddes, Daemon Kennett, Dora Hidy, Zoltán Barcza, Louis A. Schipper, Aaron M. Wall, Shin-Ichiro Nakaoka, Hitoshi Mukai, and Andrea Brandon

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Short summary
We used atmospheric measurements and inverse modeling to estimate New Zealand's carbon dioxide (CO₂) emissions and removals from 2011 to 2020. Our study reveals that New Zealand's land absorbs more CO₂ than previously estimated, particularly in areas dominated by indigenous forests. Our results highlight gaps in current national CO₂ estimates and methods, suggesting a need for further research to improve emissions reporting and refine approaches to track progress toward climate mitigation goals.