HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format
Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy input to a glacier. In order to use albedo dat...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2017
|
Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.871501 https://doi.org/10.1594/PANGAEA.871501 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.871501 |
---|---|
record_format |
openpolar |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.871501 2023-05-15T13:10:41+02:00 HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format Möller, Marco Möller, Rebecca LATITUDE: 78.900000 * LONGITUDE: 18.010000 2017-01-31 text/tab-separated-values, 216 data points https://doi.pangaea.de/10.1594/PANGAEA.871501 https://doi.org/10.1594/PANGAEA.871501 en eng PANGAEA All data files in one Zip archive (6.66 GB) (URI: https://hs.pangaea.de/model/HiRSvaC500-alpha/HiRSvaC500-alpha_1979-2015.zip) https://doi.pangaea.de/10.1594/PANGAEA.871501 https://doi.org/10.1594/PANGAEA.871501 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Möller, Marco; Möller, Rebecca (2017): Modeling glacier-surface albedo across Svalbard for the 1979-2015 period: The HiRSvaC500-alpha data set. Journal of Advances in Modeling Earth Systems, 9, 19 pp, https://doi.org/10.1002/2016MS000752 Date/time end Date/time start File format File name File size MULT Multiple investigations Svalbard Uniform resource locator/link to file Dataset 2017 ftpangaea https://doi.org/10.1594/PANGAEA.871501 https://doi.org/10.1002/2016MS000752 2023-01-20T09:08:32Z Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy input to a glacier. In order to use albedo data in any spatially distributed glaciological modeling, it is vital that the albedo fields are not only of high accuracy, but also available on sufficiently high spatial resolution and in a manner that is consistent over time. This article presents the newly developed data set HiRSvaC500-alpha which provides daily updated, gapless albedo fields for all glacierized areas of the Arctic archipelago Svalbard on a 500 m resolution over the period 1979–2015. Albedo modeling for creation of the data set is done using a multi-step geostatistical approach on the basis of remotely-sensed Moderate Resolution Imaging Spectroradiometer (MODIS) albedo data and gridded ERA-Interim climate data. Validation of the modeled HiRSvaC500-alpha albedo fields against in situ albedo measurements at automatic weather stations operated on two different glaciers suggests that the accuracy of the newly developed data set lies close to that of remotely-sensed MODIS albedo data. An analysis of the HiRSvaC500-alpha albedo data set yields a mean annual-average albedo of 0.754 across all glaciers of Svalbard over 1979–2015. A decrease of albedo with time is found, following a highly significant (95% level) trend of -0.010 per decade. For certain subregions, this trend even reaches up to -0.014 per decade. Dataset albedo Arctic Archipelago Arctic glacier Svalbard PANGAEA - Data Publisher for Earth & Environmental Science Arctic Svalbard ENVELOPE(18.010000,18.010000,78.900000,78.900000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Date/time end Date/time start File format File name File size MULT Multiple investigations Svalbard Uniform resource locator/link to file |
spellingShingle |
Date/time end Date/time start File format File name File size MULT Multiple investigations Svalbard Uniform resource locator/link to file Möller, Marco Möller, Rebecca HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
topic_facet |
Date/time end Date/time start File format File name File size MULT Multiple investigations Svalbard Uniform resource locator/link to file |
description |
Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy input to a glacier. In order to use albedo data in any spatially distributed glaciological modeling, it is vital that the albedo fields are not only of high accuracy, but also available on sufficiently high spatial resolution and in a manner that is consistent over time. This article presents the newly developed data set HiRSvaC500-alpha which provides daily updated, gapless albedo fields for all glacierized areas of the Arctic archipelago Svalbard on a 500 m resolution over the period 1979–2015. Albedo modeling for creation of the data set is done using a multi-step geostatistical approach on the basis of remotely-sensed Moderate Resolution Imaging Spectroradiometer (MODIS) albedo data and gridded ERA-Interim climate data. Validation of the modeled HiRSvaC500-alpha albedo fields against in situ albedo measurements at automatic weather stations operated on two different glaciers suggests that the accuracy of the newly developed data set lies close to that of remotely-sensed MODIS albedo data. An analysis of the HiRSvaC500-alpha albedo data set yields a mean annual-average albedo of 0.754 across all glaciers of Svalbard over 1979–2015. A decrease of albedo with time is found, following a highly significant (95% level) trend of -0.010 per decade. For certain subregions, this trend even reaches up to -0.014 per decade. |
format |
Dataset |
author |
Möller, Marco Möller, Rebecca |
author_facet |
Möller, Marco Möller, Rebecca |
author_sort |
Möller, Marco |
title |
HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
title_short |
HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
title_full |
HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
title_fullStr |
HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
title_full_unstemmed |
HiRSvaC500-alpha (High Resolution Svalbard Climatology, 500 m, glacier albedo), links to data files in NetCDF format |
title_sort |
hirsvac500-alpha (high resolution svalbard climatology, 500 m, glacier albedo), links to data files in netcdf format |
publisher |
PANGAEA |
publishDate |
2017 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.871501 https://doi.org/10.1594/PANGAEA.871501 |
op_coverage |
LATITUDE: 78.900000 * LONGITUDE: 18.010000 |
long_lat |
ENVELOPE(18.010000,18.010000,78.900000,78.900000) |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
albedo Arctic Archipelago Arctic glacier Svalbard |
genre_facet |
albedo Arctic Archipelago Arctic glacier Svalbard |
op_source |
Supplement to: Möller, Marco; Möller, Rebecca (2017): Modeling glacier-surface albedo across Svalbard for the 1979-2015 period: The HiRSvaC500-alpha data set. Journal of Advances in Modeling Earth Systems, 9, 19 pp, https://doi.org/10.1002/2016MS000752 |
op_relation |
All data files in one Zip archive (6.66 GB) (URI: https://hs.pangaea.de/model/HiRSvaC500-alpha/HiRSvaC500-alpha_1979-2015.zip) https://doi.pangaea.de/10.1594/PANGAEA.871501 https://doi.org/10.1594/PANGAEA.871501 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/PANGAEA.871501 https://doi.org/10.1002/2016MS000752 |
_version_ |
1766238636564545536 |