Broadband albedo of Arctic sea ice from MERIS optical data

<p>Arctic summer sea ice experiences rapid changes in its sea-ice concentration, surface albedo, and the melt pond fraction. This affects the energy balance of the region and demands an accurate knowledge of those surface characteristics in climate models. In this paper, the broadband albedo (...

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Main Authors: C. Pohl, L. Istomina, S. Tietsche, E. Jäkel, J. Stapf, G. Spreen, G. Heygster
Format: Article
Language:English
Published: Copernicus Publications 2020-01-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/14/165/2020/tc-14-165-2020.pdf
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author C. Pohl
L. Istomina
S. Tietsche
E. Jäkel
J. Stapf
G. Spreen
G. Heygster
author_facet C. Pohl
L. Istomina
S. Tietsche
E. Jäkel
J. Stapf
G. Spreen
G. Heygster
author_sort C. Pohl
collection DOAJ
description <p>Arctic summer sea ice experiences rapid changes in its sea-ice concentration, surface albedo, and the melt pond fraction. This affects the energy balance of the region and demands an accurate knowledge of those surface characteristics in climate models. In this paper, the broadband albedo (300–3000&thinsp;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 with 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 performs better than the currently published algorithms. The root-mean-square deviation (RMSD) between broadband albedo that was measured and 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, result in higher RMSDs of 0.09 and 0.05, respectively. 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 over large scales and in temporal patterns. However, consistency in point-to-point comparison is rather poor, with differences up to 0.20, correlations between 0.69 and 0.79, and RMSDs in excess of 0.10. Differences in sea-ice concentration and cloud-masking uncertainties play a role, but most discrepancies can be attributed to climatological sea-ice albedo values used in ERA5. They 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 over other published data sets is the accompanied data set of available melt pond fraction. Melt ponds are the main reason for the sea-ice albedo change in summer but are currently not represented in climate models and atmospheric reanalysis. Additional information about melt evolution, together with accurate albedo retrievals, can aid the challenging representation of sea-ice optical properties in those models in summer.</p>
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spelling doaj.art-4e308db98ed3480bbc5976575fe51d5b2022-12-21T17:58:00ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242020-01-011416518210.5194/tc-14-165-2020Broadband albedo of Arctic sea ice from MERIS optical dataC. Pohl0L. Istomina1S. Tietsche2E. Jäkel3J. Stapf4G. Spreen5G. Heygster6Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, GermanyInstitute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, GermanyEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UKLeipzig Institute for Meteorology, University of Leipzig, Stephanstr. 3, 04103 Leipzig, GermanyLeipzig Institute for Meteorology, University of Leipzig, Stephanstr. 3, 04103 Leipzig, GermanyInstitute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, GermanyInstitute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany<p>Arctic summer sea ice experiences rapid changes in its sea-ice concentration, surface albedo, and the melt pond fraction. This affects the energy balance of the region and demands an accurate knowledge of those surface characteristics in climate models. In this paper, the broadband albedo (300–3000&thinsp;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 with 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 performs better than the currently published algorithms. The root-mean-square deviation (RMSD) between broadband albedo that was measured and 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, result in higher RMSDs of 0.09 and 0.05, respectively. 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 over large scales and in temporal patterns. However, consistency in point-to-point comparison is rather poor, with differences up to 0.20, correlations between 0.69 and 0.79, and RMSDs in excess of 0.10. Differences in sea-ice concentration and cloud-masking uncertainties play a role, but most discrepancies can be attributed to climatological sea-ice albedo values used in ERA5. They 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 over other published data sets is the accompanied data set of available melt pond fraction. Melt ponds are the main reason for the sea-ice albedo change in summer but are currently not represented in climate models and atmospheric reanalysis. Additional information about melt evolution, together with accurate albedo retrievals, can aid the challenging representation of sea-ice optical properties in those models in summer.</p>https://www.the-cryosphere.net/14/165/2020/tc-14-165-2020.pdf
spellingShingle C. Pohl
L. Istomina
S. Tietsche
E. Jäkel
J. Stapf
G. Spreen
G. Heygster
Broadband albedo of Arctic sea ice from MERIS optical data
The Cryosphere
title Broadband albedo of Arctic sea ice from MERIS optical data
title_full Broadband albedo of Arctic sea ice from MERIS optical data
title_fullStr Broadband albedo of Arctic sea ice from MERIS optical data
title_full_unstemmed Broadband albedo of Arctic sea ice from MERIS optical data
title_short Broadband albedo of Arctic sea ice from MERIS optical data
title_sort broadband albedo of arctic sea ice from meris optical data
url https://www.the-cryosphere.net/14/165/2020/tc-14-165-2020.pdf
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