Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan-Canadian Domain. Curasi, S. R., Melton, J. R., Humphreys, E. R., Wang, L., Seiler, C., Cannon, A. J., Chan, E., & Qu, B. Journal of Advances in Modeling Earth Systems, 15(4):e2022MS003480, 2023. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003480![Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan-Canadian Domain [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Canada's boreal forests and tundra ecosystems are responding to unprecedented climate change with implications for the global carbon (C) cycle and global climate. However, our ability to model the response of Canada's terrestrial ecosystems to climate change is limited and there has been no comprehensive, process-based assessment of Canada's terrestrial C cycle. We tailor the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to Canada and evaluate its C cycling performance against independent reference data. We utilize skill scores to assess model performance against reference data alongside benchmark scores that quantify the level of agreement between the reference data sets to aid in interpretation. Our results demonstrate CLASSIC's sensitivity to prescribed vegetation cover. They also show that the addition of five region-specific Plant functional types (PFTs) improves CLASSIC's skill at simulating the Canadian C cycle. CLASSIC performs well when tailored to Canada, falls within the range of the reference data sets, and meets or exceeds the benchmark scores for most C cycling processes. New region-specific land cover products, well-informed PFT parameterizations, and more detailed reference data sets will facilitate improvements to the representation of the terrestrial C cycle in regional and global land surface models. Incorporating a parameterization for boreal disturbance processes and explicitly representing peatlands and permafrost soils will improve CLASSIC's future performance in Canada and other boreal regions. This is an important step toward a comprehensive process-based assessment of Canada's terrestrial C cycle and evaluating Canada's net C balance under climate change.
@article{curasi_evaluating_2023,
title = {Evaluating the {Performance} of the {Canadian} {Land} {Surface} {Scheme} {Including} {Biogeochemical} {Cycles} ({CLASSIC}) {Tailored} to the {Pan}-{Canadian} {Domain}},
volume = {15},
copyright = {© 2023 His Majesty the King in Right of Canada and The Authors. Reproduced with the permission of the Minister of Environment and Climate Change.},
issn = {1942-2466},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003480},
doi = {10.1029/2022MS003480},
abstract = {Canada's boreal forests and tundra ecosystems are responding to unprecedented climate change with implications for the global carbon (C) cycle and global climate. However, our ability to model the response of Canada's terrestrial ecosystems to climate change is limited and there has been no comprehensive, process-based assessment of Canada's terrestrial C cycle. We tailor the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to Canada and evaluate its C cycling performance against independent reference data. We utilize skill scores to assess model performance against reference data alongside benchmark scores that quantify the level of agreement between the reference data sets to aid in interpretation. Our results demonstrate CLASSIC's sensitivity to prescribed vegetation cover. They also show that the addition of five region-specific Plant functional types (PFTs) improves CLASSIC's skill at simulating the Canadian C cycle. CLASSIC performs well when tailored to Canada, falls within the range of the reference data sets, and meets or exceeds the benchmark scores for most C cycling processes. New region-specific land cover products, well-informed PFT parameterizations, and more detailed reference data sets will facilitate improvements to the representation of the terrestrial C cycle in regional and global land surface models. Incorporating a parameterization for boreal disturbance processes and explicitly representing peatlands and permafrost soils will improve CLASSIC's future performance in Canada and other boreal regions. This is an important step toward a comprehensive process-based assessment of Canada's terrestrial C cycle and evaluating Canada's net C balance under climate change.},
language = {en},
number = {4},
urldate = {2023-06-23},
journal = {Journal of Advances in Modeling Earth Systems},
author = {Curasi, Salvatore R. and Melton, Joe R. and Humphreys, Elyn R. and Wang, Libo and Seiler, Christian and Cannon, Alex J. and Chan, Ed and Qu, Bo},
year = {2023},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003480},
keywords = {NALCMS},
pages = {e2022MS003480},
}
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