Journal metrics

Journal metrics

  • IF value: 4.524 IF 4.524
  • IF 5-year value: 5.558 IF 5-year 5.558
  • CiteScore value: 4.84 CiteScore 4.84
  • SNIP value: 1.425 SNIP 1.425
  • SJR value: 3.034 SJR 3.034
  • IPP value: 4.65 IPP 4.65
  • h5-index value: 52 h5-index 52
  • Scimago H index value: 55 Scimago H index 55
Discussion papers | Copyright
https://doi.org/10.5194/tc-2018-108
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Jul 2018

Research article | 09 Jul 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal The Cryosphere (TC) and is expected to appear here in due course.

The potential of sea ice leads as a predictor for seasonal Arctic sea ice extent prediction

Yuanyuan Zhang1, Xiao Cheng1, Jiping Liu2, and Fengming Hui1 Yuanyuan Zhang et al.
  • 1State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, and Joint Center for Global Change Studies, Beijing Normal University, Beijing 100875, China
  • 2Department of Atmospheric and Environmental Sciences, Unive rsity at Albany, State University of New York, Albany, NY 12222, USA

Abstract. The Arctic sea ice extent throughout the melt season is closely associated with initial sea ice state in winter and spring. Sea ice leads are important sites of energy fluxes in the Arctic Ocean, which may play an important role in the evolution of Arctic sea ice. In this study, we examine the potential of sea ice leads as a predictor for seasonal Arctic sea ice extent forecast using a recently developed daily sea ice leads product retrieved from Moderate-Resolution Imaging Spectroradiometer. Our results show that July pan-Arctic sea ice extent can be accurately predicted from the area of sea ice leads integrated from mid-winter to late spring. However, the predictive skills for August and September pan-Arctic sea ice extent are very low. When the area of sea ice leads integrated in the Atlantic and central and west Siberian sector of the Arctic is used, it has a significantly strong relationship (high predictability) with both July and August sea ice extent in the Atlantic and central and west Siberian sector of the Arctic. Thus, the realistic representation of sea ice leads (e.g., the areal coverage) in numerical prediction systems might improve the skill of forecast in the Arctic region.

Yuanyuan Zhang et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Yuanyuan Zhang et al.
Yuanyuan Zhang et al.
Viewed
Total article views: 403 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
309 89 5 403 2 2
  • HTML: 309
  • PDF: 89
  • XML: 5
  • Total: 403
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 09 Jul 2018)
Cumulative views and downloads (calculated since 09 Jul 2018)
Viewed (geographical distribution)
Total article views: 403 (including HTML, PDF, and XML) Thereof 399 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 12 Nov 2018
Publications Copernicus
Download
Citation
Share