Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4711–4726, 2021
https://doi.org/10.5194/essd-13-4711-2021

Special issue: Extreme environment datasets for the three poles

Earth Syst. Sci. Data, 13, 4711–4726, 2021
https://doi.org/10.5194/essd-13-4711-2021

Data description paper 15 Oct 2021

Data description paper | 15 Oct 2021

The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research

Xiaohua Hao et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-189', Anonymous Referee #1, 26 Jul 2021
    • CC1: 'Reply on RC1', Hao Xiaohua, 23 Aug 2021
      • RC3: 'Reply on CC1', Anonymous Referee #1, 26 Aug 2021
    • AC1: 'Reply on RC1', Hao Xiaohua, 28 Aug 2021
  • RC2: 'Comment on essd-2021-189', Anonymous Referee #2, 27 Jul 2021
    • CC2: 'Reply on RC2', Hao Xiaohua, 23 Aug 2021
    • AC2: 'Reply on RC2', Hao Xiaohua, 28 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hao Xiaohua on behalf of the Authors (05 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (09 Sep 2021) by David Carlson
RR by Anonymous Referee #1 (09 Sep 2021)
ED: Publish subject to technical corrections (10 Sep 2021) by David Carlson
AR by Hao Xiaohua on behalf of the Authors (12 Sep 2021)  Author's response    Manuscript
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Short summary
Long-term snow cover data are not only of importance for climate research. Currently China still lacks a high-quality snow cover extent (SCE) product for climate research. This study develops a multi-level decision tree algorithm for cloud and snow discrimination and gap-filled technique based on AVHRR surface reflectance data. We generate a daily 5 km SCE product across China from 1981 to 2019. It has high accuracy and will serve as baseline data for climate and other applications.