Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1)

Melton, Joe R.; Sospedra‐Alfonso, Reinel; McCusker, Kelly E.

doi:10.5194/gmd-10-2761-2017

Cited by 14 publications

(20 citation statements)

References 65 publications

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“…The carbon amounts in these five carbon pools evolve prognostically, in the default CLASSIC configuration, for nine PFTs that map directly onto the four PFTs used by CLASS. Needleleaf trees are divided into their deciduous and evergreen types, broadleaf trees are 15 divided into cold deciduous, drought deciduous, and evergreen types, and crops and grasses are divided based on their photosynthetic pathways into C 3 and C 4 versions. The finer distinctions between PFTs in the CTEM PFTs is required for modelling biogeochemical processes.…”

Section: Model Biogeochemistry: Ctemmentioning

confidence: 99%

“…Soil texture for permeable soil layers is also common to all PFTs within a grid cell resulting in a single liquid and frozen soil moisture for 10 each permeable soil layer, and a single temperature for each soil and bedrock layer for the grid cell. The effect of tiling on the basis of fractional coverage of PFTs has been evaluated on estimation of the terrestrial carbon sink (Melton and Arora, 2014), competition between PFTs (Shrestha et al, 2016), and the use of soil texture clusters as a tiling criteria has been evaluated by Melton et al (2017).…”

Section: Model Biogeochemistry: Ctemmentioning

confidence: 99%

“…Pre-compiler directives, used sparingly, allow the same code for both applications. The default compiler supplied 15 within the CLASSIC container is the GNU compiler (gfortran for serial and mpif90 as wrapper around gfortran for parallel computation) with additional Makefile scripts for Intel and Cray compilers.…”

Section: Serial and Parallel Computations (Mpi)mentioning

confidence: 99%

“…The spatially integrated score values for the root-mean-square error (S rmse ), phase shift (S phase ), interannual variability (S iav ), and spatial distribution (S dist ) are found in a similar way although the actual calculation of the metrics is, of course, different as shown in Table A1. To demonstrate the intermediate statistical metrics for the component scores, the components 15 of S rmse are listed in Table A2. The score values based on these metrics are then combined to derive a single overall score for each output variable:…”

Section: Skill Scoresmentioning

confidence: 99%

“…negative GPP, we did retain other data points that we suspect could be spurious (e.g. 2005 15 GPP at SD-Dem in Supplementary Fig. S16).…”

Section: Energy Fluxesmentioning

confidence: 99%

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CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance

Melton¹,

Arora²,

Wisernig-Cojoc³

et al. 2019

Preprint

Self Cite

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Recent reports by the Global Carbon Project highlight large uncertainties around land surface processes such as land use change, strength of CO 2 fertilization, nutrient limitation and supply, and response to variability in climate. Process-based land surface models are well-suited to address these complex and emerging global change problems, but will require extensive development and evaluation. The coupled Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem Model (CLASS-5 CTEM) framework has been under continuous development by Environment and Climate Change Canada since 1987. As the open-source model of code development has revolutionized the software industry, scientific software is experiencing a similar evolution. Given the scale of the challenge facing land surface modellers, and the benefits of open-source, or community model, development, we have transitioned CLASS-CTEM from an internally developed model to an open-source community model, which we call the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC) v. 1.0. CLASSIC 10 contains many technical features specifically designed to encourage community use including software containerization for serial and parallel simulations, extensive benchmarking software and data (Automated Model Benchmarking ; AMBER), self-documenting code, community standard formats for model inputs and outputs, amongst others. Here we evaluate and benchmark CLASSIC against 31 FLUXNET sites where the model has been tailored to the site-level conditions and driven with observed meteorology. Future versions of CLASSIC will be developed using AMBER and these initial benchmark results 15 to evaluate model performance over time. CLASSIC remains under active development and the code, site-level benchmarking data, software container and AMBER are freely available for community use.

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Section: Model Biogeochemistry: Ctemmentioning

confidence: 99%

Section: Model Biogeochemistry: Ctemmentioning

confidence: 99%

Section: Serial and Parallel Computations (Mpi)mentioning

confidence: 99%

Section: Skill Scoresmentioning

confidence: 99%

“…negative GPP, we did retain other data points that we suspect could be spurious (e.g. 2005 15 GPP at SD-Dem in Supplementary Fig. S16).…”

Section: Energy Fluxesmentioning

confidence: 99%

See 3 more Smart Citations

CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance

Melton¹,

Arora²,

Wisernig-Cojoc³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Development and testing of a subgrid glacier mass balance model for nesting in the Canadian Regional Climate Model

2019

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Advances in Land Surface Modelling

Blyth

Arora

Clark

et al. 2021

Curr Clim Change Rep

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Land surface models have an increasing scope. Initially designed to capture the feedbacks between the land and the atmosphere as part of weather and climate prediction, they are now used as a critical tool in the urgent need to inform policy about land-use and water-use management in a world that is changing physically and economically. This paper outlines the way that models have evolved through this change of purpose and what might the future hold. It highlights the importance of distinguishing between advances in the science within the modelling components, with the advances of how to represent their interaction. This latter aspect of modelling is often overlooked but will increasingly manifest as an issue as the complexity of the system, the time and space scales of the system being modelled increase. These increases are due to technology, data availability and the urgency and range of the problems being studied.

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Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1)

Abstract: Abstract. We investigate the application of clustering algorithms to represent sub-grid scale variability in soil texture for use in a global-scale terrestrial ecosystem model. Our model,

Cited by 14 publications

References 65 publications

CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance

CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance

Development and testing of a subgrid glacier mass balance model for nesting in the Canadian Regional Climate Model

Advances in Land Surface Modelling

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