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

Jian Zhou, Jianyang Xia, Ning Wei, Yufu Liu, Chenyu Bian, Yuqi Bai, Yiqi Luo
2020 unpublished
<p><strong>Abstract.</strong> 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
more » ... ME (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.</p>
doi:10.5194/gmd-2020-76 fatcat:2pvo2rmrirbg7l46obkpzjxryq