Sea ice, snow and melt pond example data from MOSAiC transect observations

This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors: Broad-band...

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Main Authors: Stefan Hendricks, Polona Itkin, Melinda Webster, Luisa von Albedyll, Arttu Jutila, Ian Raphael, Antonia Immerz, Matthias Jaggi, Christian Haas
Format: Dataset
Language:English
Published: 2021
Subjects:
Online Access:https://zenodo.org/record/5155244
https://doi.org/10.5281/zenodo.5155244
id ftzenodo:oai:zenodo.org:5155244
record_format openpolar
spelling ftzenodo:oai:zenodo.org:5155244 2023-05-15T15:03:52+02:00 Sea ice, snow and melt pond example data from MOSAiC transect observations Stefan Hendricks Polona Itkin Melinda Webster Luisa von Albedyll Arttu Jutila Ian Raphael Antonia Immerz Matthias Jaggi Christian Haas 2021-08-03 https://zenodo.org/record/5155244 https://doi.org/10.5281/zenodo.5155244 eng eng doi:10.5281/zenodo.5155243 https://zenodo.org/record/5155244 https://doi.org/10.5281/zenodo.5155244 oai:zenodo.org:5155244 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode cryosphere sea ice snow on sea ice melt ponds MOSAiC Arctic Ocean info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.5281/zenodo.515524410.5281/zenodo.5155243 2023-03-11T04:06:54Z This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors: Broad-band electromagnetic induction sensor (Geophex GEM-2) measuring the combined thickness of the sea ice and snow layers A GPS snow depth probe (Snow-Hydro MagnaProbe) measuring the thickness of the snow layer and melt ponds depth during summer Both sensors were operated coincidently along transect loops while different loops were used in both days. This data set is a subset of similar weekly activities between October 2019 and September 2020. This publication intends to provide a preview of the data properties and approximate changes between the winter and summer periods. It also has to be noted, that the final data of the EM induction sensor might differ from this release, which is based on a quick-look processing directly after data acquisition. GEM-2 data files The file format of GEM-2 data is a text file with comma-separated values. Notable parameters are: ‘time’: UTC time ‘longitude’: Longitude in degrees east (fill value: 0.0) ‘latitude’: Latitude in degrees north (fill value: 0.0) ‘`f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`: total (ice + snow) thickness of the sea ice and snow layers in meter for different channels* *The channels correspond to the real (Inphase) or imaginary (Quadrature) part of the EM signal at a given frequency. The variable name in the csv file is to be read as `f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`. It is recommended to use the Inphase component of the 18.325 kHz frequency (variable `f18325Hz_hcp_i`) for analysis. MagnaProbe data files The file format of MagnaProbe data is a text file with comma-separated values. Notable parameters are: `timestamp`: Timestamp `longitude_a`: longitude degree in degrees east `longitude_b`: longitude minute `latitude_a`: latitude degree in degrees north ... Dataset Arctic Arctic Ocean Sea ice Zenodo Arctic Arctic Ocean
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic cryosphere
sea ice
snow on sea ice
melt ponds
MOSAiC
Arctic Ocean
spellingShingle cryosphere
sea ice
snow on sea ice
melt ponds
MOSAiC
Arctic Ocean
Stefan Hendricks
Polona Itkin
Melinda Webster
Luisa von Albedyll
Arttu Jutila
Ian Raphael
Antonia Immerz
Matthias Jaggi
Christian Haas
Sea ice, snow and melt pond example data from MOSAiC transect observations
topic_facet cryosphere
sea ice
snow on sea ice
melt ponds
MOSAiC
Arctic Ocean
description This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors: Broad-band electromagnetic induction sensor (Geophex GEM-2) measuring the combined thickness of the sea ice and snow layers A GPS snow depth probe (Snow-Hydro MagnaProbe) measuring the thickness of the snow layer and melt ponds depth during summer Both sensors were operated coincidently along transect loops while different loops were used in both days. This data set is a subset of similar weekly activities between October 2019 and September 2020. This publication intends to provide a preview of the data properties and approximate changes between the winter and summer periods. It also has to be noted, that the final data of the EM induction sensor might differ from this release, which is based on a quick-look processing directly after data acquisition. GEM-2 data files The file format of GEM-2 data is a text file with comma-separated values. Notable parameters are: ‘time’: UTC time ‘longitude’: Longitude in degrees east (fill value: 0.0) ‘latitude’: Latitude in degrees north (fill value: 0.0) ‘`f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`: total (ice + snow) thickness of the sea ice and snow layers in meter for different channels* *The channels correspond to the real (Inphase) or imaginary (Quadrature) part of the EM signal at a given frequency. The variable name in the csv file is to be read as `f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`. It is recommended to use the Inphase component of the 18.325 kHz frequency (variable `f18325Hz_hcp_i`) for analysis. MagnaProbe data files The file format of MagnaProbe data is a text file with comma-separated values. Notable parameters are: `timestamp`: Timestamp `longitude_a`: longitude degree in degrees east `longitude_b`: longitude minute `latitude_a`: latitude degree in degrees north ...
format Dataset
author Stefan Hendricks
Polona Itkin
Melinda Webster
Luisa von Albedyll
Arttu Jutila
Ian Raphael
Antonia Immerz
Matthias Jaggi
Christian Haas
author_facet Stefan Hendricks
Polona Itkin
Melinda Webster
Luisa von Albedyll
Arttu Jutila
Ian Raphael
Antonia Immerz
Matthias Jaggi
Christian Haas
author_sort Stefan Hendricks
title Sea ice, snow and melt pond example data from MOSAiC transect observations
title_short Sea ice, snow and melt pond example data from MOSAiC transect observations
title_full Sea ice, snow and melt pond example data from MOSAiC transect observations
title_fullStr Sea ice, snow and melt pond example data from MOSAiC transect observations
title_full_unstemmed Sea ice, snow and melt pond example data from MOSAiC transect observations
title_sort sea ice, snow and melt pond example data from mosaic transect observations
publishDate 2021
url https://zenodo.org/record/5155244
https://doi.org/10.5281/zenodo.5155244
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation doi:10.5281/zenodo.5155243
https://zenodo.org/record/5155244
https://doi.org/10.5281/zenodo.5155244
oai:zenodo.org:5155244
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.515524410.5281/zenodo.5155243
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