Preprints
https://doi.org/10.5194/essd-2021-279
https://doi.org/10.5194/essd-2021-279
 
16 Dec 2021
16 Dec 2021
Status: this preprint has been withdrawn by the authors.

A temporally consistent 8-day 0.05° gap-free snow cover extent dataset over the Northern Hemisphere for the period 1981–2019

Xiaona Chen1, Shunlin Liang2, Lian He3, Yaping Yang1, and Cong Yin1,4 Xiaona Chen et al.
  • 1State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
  • 2Department of Geographical Sciences, University of Maryland, College Park, 20740, USA
  • 3School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, 519082, China
  • 4College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

Abstract. Northern Hemisphere (NH) snow cover extent (SCE) is one of the most important indicator of climate change due to its unique surface property. However, short temporal coverage, coarse spatial resolution, and different snow discrimination approach among existing continental scale SCE products hampers its detailed studies. Using the latest Advanced Very High Resolution Radiometer Surface Reflectance (AVHRR-SR) Climate Data Record (CDR) and several ancillary datasets, this study generated a temporally consistent 8-day 0.05° gap-free SCE covering the NH landmass for the period 1981–2019 as part of the Global LAnd Surface Satellite dataset (GLASS) product suite. The development of GLASS SCE contains five steps. First, a decision tree algorithm with multiple threshold tests was applied to distinguish snow cover (NHSCE-D) with other land cover types from daily AVHRR-SR CDR. Second, gridcells with cloud cover and invalid observations were filled by two existing daily SCE products. The gap-filled gridcells were further merged with NHSCE-D to generate combined daily SCE over the NH (NHSCE-Dc). Third, an aggregation process was used to detect the maximum SCE and minimum gaps in each 8-day periods from NHSCE-Dc. Forth, the gaps after aggregation process were further filled by the climatology of snow cover probability to generate the gap-free GLASS SCE. Fifth, the validation process was carried out to evaluate the quality of GLASS SCE. Validation results by using 562 Global Historical Climatology Network stations during 1981–2017 (r = 0.61, p < 0.05) and MOD10C2 during 2001–2019 (r = 0.97, p < 0.01) proved that the GLASS SCE product is credible in snow cover frequency monitoring. Moreover, cross-comparison between GLASS SCE and surface albedo during 1982–2018 further confirmed its values in climate changes studies. The GLASS SCE data are available at https://doi.org/10.5281/zenodo.5775238 (Chen et al. 2021).

This preprint has been withdrawn.

Xiaona Chen et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Relatively low interannual variability in European snow cover extent', Christian Steger, 13 Jan 2022
    • AC1: 'Reply on CC1', Xiaona Chen, 21 Jan 2022
  • RC1: 'Comment on essd-2021-279', Anonymous Referee #1, 16 Feb 2022
    • AC2: 'Reply on RC1', Xiaona Chen, 25 Mar 2022
  • RC2: 'Comment on essd-2021-279', Anonymous Referee #2, 21 Mar 2022
    • AC3: 'Reply on RC2', Xiaona Chen, 25 Mar 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Relatively low interannual variability in European snow cover extent', Christian Steger, 13 Jan 2022
    • AC1: 'Reply on CC1', Xiaona Chen, 21 Jan 2022
  • RC1: 'Comment on essd-2021-279', Anonymous Referee #1, 16 Feb 2022
    • AC2: 'Reply on RC1', Xiaona Chen, 25 Mar 2022
  • RC2: 'Comment on essd-2021-279', Anonymous Referee #2, 21 Mar 2022
    • AC3: 'Reply on RC2', Xiaona Chen, 25 Mar 2022

Xiaona Chen et al.

Data sets

A temporally consistent 8-day 0.05° gap-free snow cover extent dataset over the Northern Hemisphere for the period 1981–2019 Xiaona Chen, Shunlin Liang, Yaping Yang, Lian He, and Cong Yin https://doi.org/10.5281/zenodo.5775238

Xiaona Chen et al.

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This preprint has been withdrawn.

Short summary
The present study developed a 39 year consistent 8-day 0.05 degree gap-free SCE dataset over the NH for the period 1981–2019 as part of the Global LAnd Surface Satellite dataset (GLASS) product suite based on the NOAA AVHRR-SR CDR and several contributory datasets. Compared with published SCE datasets, GLASS SCE has several advantages in snow cover studies, including long time series, finer spatial resolution (especially for years before 2000), and complete spatial coverage.