2022
DOI: 10.5194/tc-2022-150
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Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and subarctic climate

Abstract: Abstract. The current generation of Earth system models exhibits large inter-model differences in the simulated climate of the Arctic and subarctic zone, with differences in model structure and parametrizations being one of the main sources of uncertainty. One particularly challenging aspect in modelling is the representation of terrestrial processes in permafrost-affected regions, which are often governed by spatial heterogeneity far below the resolution of the models' land surface components. Here, we use th… Show more

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Cited by 2 publications
(2 citation statements)
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“…The lack of consistent long‐term data (i.e., more than 10 years) on site‐level plant productivity, carbon fluxes (e.g., eddy covariance), and soil moisture across northern ecosystems has limited our ability to directly reconstruct the temporal changes in the Arctic carbon balance resulting from environmental changes over recent decades. Given the complexity of these systems, the response of the tundra carbon exchange to moisture changes remains a key research question that requires evaluation across the Arctic (De Vrese et al, 2022 ; Göckede et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…The lack of consistent long‐term data (i.e., more than 10 years) on site‐level plant productivity, carbon fluxes (e.g., eddy covariance), and soil moisture across northern ecosystems has limited our ability to directly reconstruct the temporal changes in the Arctic carbon balance resulting from environmental changes over recent decades. Given the complexity of these systems, the response of the tundra carbon exchange to moisture changes remains a key research question that requires evaluation across the Arctic (De Vrese et al, 2022 ; Göckede et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…However, we did find the regional TCFM‐Arctic estimates to align closely with those from top‐down models (i.e., especially CarbonTracker‐CH 4 and OCO‐2 MIP LNLGIS), providing some consensus. Moving forward, coordinated efforts between bottom‐up and top‐down (atmospheric) communities to identify key model assumptions and sources of agreement and uncertainty—including the representation of soil hydrology and its influence on uncertainty (de Vrese et al, 2022)—must be prioritized to close the gap in Arctic‐boreal carbon budget estimates. Increasing atmospheric sampling (e.g., flasks, tall towers, airborne) networks within high‐priority Arctic‐boreal sub‐regions, while also leveraging trace gas observations from satellites, would allow for top‐down versus bottom‐up model comparisons at more local scales (Lauvaux et al, 2012; Parazoo et al, 2016; Schuh et al, 2013).…”
Section: Conclusion and Implications For Future Workmentioning
confidence: 99%