Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-875-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-875-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Development and technical paper
 | 
11 Feb 2021
Development and technical paper |  | 11 Feb 2021

Lossy compression of Earth system model data based on a hierarchical tensor with Adaptive-HGFDR (v1.0)

Zhaoyuan Yu, Dongshuang Li, Zhengfang Zhang, Wen Luo, Yuan Liu, Zengjie Wang, and Linwang Yuan

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Short summary
Few lossy compression methods consider both the global and local multidimensional coupling correlations, which could lead to information loss in data compression. Here we develop an adaptive lossy compression method, Adaptive-HGFDR, to capture both the global and local variation of multidimensional coupling correlations and improve approximation accuracy. The method can achieve good compression performances for most flux variables with significant spatiotemporal heterogeneity.
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