Articles | Volume 14, issue 2
Geosci. Model Dev., 14, 875–887, 2021
https://doi.org/10.5194/gmd-14-875-2021
Geosci. Model Dev., 14, 875–887, 2021
https://doi.org/10.5194/gmd-14-875-2021

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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zhaoyuan Yu on behalf of the Authors (26 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 Aug 2020) by Patrick Jöckel
RR by Anonymous Referee #2 (19 Oct 2020)
RR by Anonymous Referee #3 (04 Nov 2020)
ED: Reconsider after major revisions (13 Nov 2020) by Patrick Jöckel
AR by Mario Ebel on behalf of the Authors (04 Jan 2021)  Author's response
ED: Publish as is (04 Jan 2021) by Patrick Jöckel
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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.