Articles | Volume 17, issue 9
https://doi.org/10.5194/tc-17-3667-2023
https://doi.org/10.5194/tc-17-3667-2023
Research article
 | 
31 Aug 2023
Research article |  | 31 Aug 2023

Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022

Yaowen Zheng, Nicholas R. Golledge, Alexandra Gossart, Ghislain Picard, and Marion Leduc-Leballeur

Viewed

Total article views: 2,101 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,416 599 86 2,101 67 66
  • HTML: 1,416
  • PDF: 599
  • XML: 86
  • Total: 2,101
  • BibTeX: 67
  • EndNote: 66
Views and downloads (calculated since 19 Oct 2022)
Cumulative views and downloads (calculated since 19 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,101 (including HTML, PDF, and XML) Thereof 2,033 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Jul 2024
Download
Short summary
Positive degree-day (PDD) schemes are widely used in many Antarctic numerical ice sheet models. However, the PDD approach has not been systematically explored for its application in Antarctica. We have constructed a novel grid-cell-level spatially distributed PDD (dist-PDD) model and assessed its accuracy. We suggest that an appropriately parameterized dist-PDD model can be a valuable tool for exploring Antarctic surface melt beyond the satellite era.