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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2020-76
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-76
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 27 Apr 2020

Submitted as: development and technical paper | 27 Apr 2020

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This preprint is currently under review for the journal GMD.

TraceME (v1.0) – An online Traceability analysis system for Model Evaluation on land carbon dynamics

Jian Zhou1, Jianyang Xia1, Ning Wei1, Yufu Liu2,3, Chenyu Bian1, Yuqi Bai2,3, and Yiqi Luo4 Jian Zhou et al.
  • 1Research Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
  • 2Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
  • 3oint Center for Global Change Studies (JCGCS), Beijing, 100875, China
  • 4Center for ecosystem science and society, Northern Arizona University, Arizona, Flagstaff, USA

Abstract. The synchronous increase of model complexity and data volume in Earth system science challenges using observations to evaluate Earth system models (ESMs). The challenge mainly stems from the untraceable of model outputs, the lack of automatic algorithms, and the high computational costs. Here, we built up an online Traceability analysis system for Model Evaluation (TraceME), which is traceable, automatic and shareable. The TraceME (v1.0) can trace the structural uncertainty of simulated carbon (C) storage in the state-of-the-art ESMs into gross primary production (GPP), carbon use efficiency (CUE), baseline residence time and environmental scalars (temperature and precipitation). The cloud-based framework used in TraceME provides the scientific workflows and a shareable platform to achieve the automated analysis and distributed data storage to greatly improve the efficiency of model evaluation. Then, we set up a worker node in TraceME (v1.0) to store the data from Coupled Model Intercomparison Project (CMIP6), and submitted tasks through browser to analyze the uncertainties of CMIP6 models in the TraceME system. Overall, this new tool can greatly facilitate model evaluation to identify sources of model uncertainty and provide some new implications for the next generation of model evaluation.

Jian Zhou et al.

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Model code and software

The code of traceability analysis J. Zhou https://doi.org/10.5281/zenodo.3766626

Jian Zhou et al.

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Latest update: 31 May 2020
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Short summary
The increase of model complexity and data volume challenges the evaluation of Earth system models (ESMs), which mainly stems from the untraceable, unautomatic, and high computational costs. Here, we built up an online Traceability analysis system for Model Evaluation (TraceME), which is traceable, automatic and shareable. The TraceME (v1.0) can trace the structural uncertainty of simulated carbon (C) storage in ESMs and provide some new implications for the next generation of model evaluation.
The increase of model complexity and data volume challenges the evaluation of Earth system...
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