Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
  • CiteScore value: 5.27 CiteScore
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 22 May 2019

Submitted as: research article | 22 May 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

Broadband albedo of Arctic sea ice from MERIS optical data

Christine Pohl1, Larysa Istomina1, Steffen Tietsche2, Evelyn Jäkel3, Johannes Stapf3, Gunnar Spreen1, and Georg Heygster1 Christine Pohl et al.
  • 1Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
  • 2European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
  • 3Leipzig Institute for Meteorology, University of Leipzig, Stephanstr. 3, 04103 Leipzig, Germany

Abstract. Summer in the Arctic is the season when the sea ice covered ocean experiences rapid changes in its sea ice concentration, the surface albedo, and the melt pond fraction. These processes drastically affect the energy balance of the region and it is a challenge for climate models to represent those correctly.

In this paper, the broadband albedo (300–3000 nm) of Arctic sea ice is derived from Medium Resolution Imaging Spectrometer (MERIS) optical swath data by transforming the spectral albedo as an output from the Melt Pond Detector (MPD) algorithm by a newly developed spectral-to-broadband conversion (STBC). The new STBC replaces the previously applied spectral averaging method to provide a more accurate broadband albedo product which approaches the accuracy of 0.02–0.05 required in climate simulations and allows a direct comparison to broadband albedo values from climate models.

The STBC is derived empirically from spectral and broadband albedo measurements over landfast ice. It is validated on a variety of simultaneous spectral and broadband field measurements over Arctic sea ice, is compared to existing conversion techniques and shows a better performance than the currently published algorithms. The root mean square deviation (RMSD) between measured and broadband albedo converted by the STBC is 0.02. Other conversion techniques, the spectral averaging method and the linear combination of albedo values from four MERIS channels, achieve higher RMSDs of 0.09 and 0.05. The improved MERIS derived broadband albedo values are validated with airborne measurements. Results show a smaller RMSD of 0.04 for landfast ice than the RMSD of 0.07 for drifting ice.

The MERIS derived broadband albedo is compared to broadband albedo from ERA5 reanalysis to examine the albedo parameterization used in ERA5. Both albedo products agree in the large-scale pattern. However, consistency in point-to-point comparison is rather poor, with correlations between 0.71 and 0.76 and RMSD in excess of 0.12. This suggests that the climatological sea ice albedo values used in ERA5 are not adequate and need revising, in order to better simulate surface heat fluxes in the Arctic.

The advantage of the resulting broadband albedo data set from MERIS against other published data sets is the additional data set of melt pond fraction available from the same sensor. Melt ponds are the main reason for the sea ice albedo change in summer but currently are not represented in climate models. Additional information on melt evolution together with the accurate albedo product can aid the challenging representation of sea ice optical properties in summer in climate models.

Christine Pohl et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Christine Pohl et al.
Christine Pohl et al.
Total article views: 277 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
199 75 3 277 4 2
  • HTML: 199
  • PDF: 75
  • XML: 3
  • Total: 277
  • BibTeX: 4
  • EndNote: 2
Views and downloads (calculated since 22 May 2019)
Cumulative views and downloads (calculated since 22 May 2019)
Viewed (geographical distribution)  
Total article views: 196 (including HTML, PDF, and XML) Thereof 196 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 18 Aug 2019
Publications Copernicus
Short summary
A spectral to broadband conversion is developed empirically which can be used in combination with the Melt Pond Detector algorithm to derive broadband albedo (300–3000 nm) of Arctic sea ice from MERIS data. It is validated and shows better performance compared to existing conversion methods. A comparison of MERIS broadband albedo with respective values from ERA5 reanalysis suggests a revision of the albedo values used in ERA5. The MERIS albedo might be useful to improve the albedo representation.
A spectral to broadband conversion is developed empirically which can be used in combination...