An improved parameterization of leaf area index (LAI) seasonality in the Canadian Land Surface Scheme (CLASS) and Canadian Terrestrial Ecosystem Model (CTEM) modelling framework

Asaadi, Ali; Arora, Vivek K.; Melton, Joe R.; Bartlett, Paul

doi:https://doi.org/10.5194/bg-15-6885-2018

Articles | Volume 15, issue 22

https://doi.org/10.5194/bg-15-6885-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-15-6885-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 22

Research article

|

19 Nov 2018

Research article |

| 19 Nov 2018

An improved parameterization of leaf area index (LAI) seasonality in the Canadian Land Surface Scheme (CLASS) and Canadian Terrestrial Ecosystem Model (CTEM) modelling framework

Ali Asaadi, Vivek K. Arora, Joe R. Melton, and Paul Bartlett

Supplement

https://doi.org/10.5194/bg-15-6885-2018-supplement

Data sets

The coupled Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem Model (CLASS-CTEM) J. R. Melton https:// gitlab.com/jormelton/classctem

The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), NASA FLUXNET https://fluxnet.ornl.gov/ obtain-data

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Short summary

Non-structural carbohydrates (NSCs), which play a central role in a plant's life processes and its response to environmental conditions, are typically not included in terrestrial biogeochemistry models used in Earth system models (ESMs). In this study, we include NSC pools in the framework of the land component of the Canadian ESM and show how they help address the long-standing problem of delayed leaf phenology.