Articles | Volume 17, issue 22
Biogeosciences, 17, 5861–5882, 2020
https://doi.org/10.5194/bg-17-5861-2020
Biogeosciences, 17, 5861–5882, 2020
https://doi.org/10.5194/bg-17-5861-2020

Research article 27 Nov 2020

Research article | 27 Nov 2020

Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model

Yonghong Yi et al.

Model code and software

STM-C: A remote sensing driven permafrost carbon model software Yonghong Yi https://github.com/yiyh05/STM-C

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Short summary
We developed a 1 km satellite-data-driven permafrost carbon model to evaluate soil respiration sensitivity to recent snow cover changes in Alaska. Results show earlier snowmelt enhances growing-season soil respiration and reduces annual carbon uptake, while early cold-season soil respiration is linked to the number of snow-free days after the land surface freezes. Our results also show nonnegligible influences of subgrid variability in surface conditions on model-simulated CO2 seasonal cycles.
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