Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...

The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, pheno...

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Bibliographic Details
Main Author: Bartsch, Annett
Format: Dataset
Language:English
Published: PANGAEA 2010
Subjects:
Ice
Online Access:https://dx.doi.org/10.1594/pangaea.834198
https://doi.pangaea.de/10.1594/PANGAEA.834198
id ftdatacite:10.1594/pangaea.834198
record_format openpolar
spelling ftdatacite:10.1594/pangaea.834198 2024-09-15T18:11:42+00:00 Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ... Bartsch, Annett 2010 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.834198 https://doi.pangaea.de/10.1594/PANGAEA.834198 en eng PANGAEA https://dx.doi.org/10.3390/rs2041142 https://dx.doi.org/10.1088/1748-9326/8/1/014020 https://dx.doi.org/10.1088/1748-9326/8/4/045026 https://dx.doi.org/10.1007/s00300-012-1272-6 https://dx.doi.org/10.1109/tgrs.2011.2169076 https://dx.doi.org/10.1016/j.rse.2006.09.004 https://dx.doi.org/10.1890/09-1927.1 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 File content Uniform resource locator/link to file Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 dataset Supplementary Dataset Dataset 2010 ftdatacite https://doi.org/10.1594/pangaea.83419810.3390/rs204114210.1088/1748-9326/8/1/01402010.1088/1748-9326/8/4/04502610.1007/s00300-012-1272-610.1109/tgrs.2011.216907610.1016/j.rse.2006.09.00410.1890/09-1927.1 2024-08-01T10:57:41Z The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. ... : Data north of 60°N have been analysed for snowmelt patterns. Spring snowmelt timing (start and end) has been extracted based on diurnal thaw and refreeze detection (Bartsch et al. 2007). Mid winter thaw and refreeze which can be caused by rain on snow (ROS, Bartsch et al. 2010, Wilson et al. 2013) or fog (Semmens et al. 2013) has been extracted for November to February. Number of events with strong backscatter increase have been summed up for single years and all available winter periods. Data are provided as dbf or csv files with point measurements (id, coordinates + number of events (VALUE)). Spacing is 10 km. A shape file based on a filtered (close) image is provided as summary/preview of the mid winter data. Overview maps are also included in Bartsch (2010). ... Dataset Ice Ice cap permafrost DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic File content
Uniform resource locator/link to file
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
spellingShingle File content
Uniform resource locator/link to file
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
Bartsch, Annett
Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
topic_facet File content
Uniform resource locator/link to file
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
description The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. ... : Data north of 60°N have been analysed for snowmelt patterns. Spring snowmelt timing (start and end) has been extracted based on diurnal thaw and refreeze detection (Bartsch et al. 2007). Mid winter thaw and refreeze which can be caused by rain on snow (ROS, Bartsch et al. 2010, Wilson et al. 2013) or fog (Semmens et al. 2013) has been extracted for November to February. Number of events with strong backscatter increase have been summed up for single years and all available winter periods. Data are provided as dbf or csv files with point measurements (id, coordinates + number of events (VALUE)). Spacing is 10 km. A shape file based on a filtered (close) image is provided as summary/preview of the mid winter data. Overview maps are also included in Bartsch (2010). ...
format Dataset
author Bartsch, Annett
author_facet Bartsch, Annett
author_sort Bartsch, Annett
title Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
title_short Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
title_full Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
title_fullStr Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
title_full_unstemmed Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 ...
title_sort spring snowmelt and midwinter thaw and refreeze north of 60°n based on seawinds quikscat 2000-2009 ...
publisher PANGAEA
publishDate 2010
url https://dx.doi.org/10.1594/pangaea.834198
https://doi.pangaea.de/10.1594/PANGAEA.834198
genre Ice
Ice cap
permafrost
genre_facet Ice
Ice cap
permafrost
op_relation https://dx.doi.org/10.3390/rs2041142
https://dx.doi.org/10.1088/1748-9326/8/1/014020
https://dx.doi.org/10.1088/1748-9326/8/4/045026
https://dx.doi.org/10.1007/s00300-012-1272-6
https://dx.doi.org/10.1109/tgrs.2011.2169076
https://dx.doi.org/10.1016/j.rse.2006.09.004
https://dx.doi.org/10.1890/09-1927.1
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.83419810.3390/rs204114210.1088/1748-9326/8/1/01402010.1088/1748-9326/8/4/04502610.1007/s00300-012-1272-610.1109/tgrs.2011.216907610.1016/j.rse.2006.09.00410.1890/09-1927.1
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