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...

Full description

Bibliographic Details
Main Authors: Hendricks, Stefan, Itkin, Polona, Webster, Melinda, Von Albedyll, Luisa, Jutila, Arttu, Raphael, Ian, Immerz, Antonia, Jaggi, Matthias, Haas, Christian
Format: Dataset
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5155243
https://zenodo.org/record/5155243
id ftdatacite:10.5281/zenodo.5155243
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5155243 2023-05-15T15:01:01+02:00 Sea ice, snow and melt pond example data from MOSAiC transect observations Hendricks, Stefan Itkin, Polona Webster, Melinda Von Albedyll, Luisa Jutila, Arttu Raphael, Ian Immerz, Antonia Jaggi, Matthias Haas, Christian 2021 https://dx.doi.org/10.5281/zenodo.5155243 https://zenodo.org/record/5155243 en eng Zenodo https://dx.doi.org/10.5281/zenodo.5155244 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY cryosphere sea ice snow on sea ice melt ponds MOSAiC Arctic Ocean dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5155243 https://doi.org/10.5281/zenodo.5155244 2021-11-05T12:55:41Z 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 `latitude_b`: latitude minute `depthCm`: Snow thickness or melt ponds depth in cm `flag`: flag value indicating the type or measurement* Flag values are: -1 : melt pond 1 : snow or surface scattering layer depth, 2 : mixed surface type when pond water pools at the base of a melting The filenames follow the naming convention of <sensor>-mosaic-transect-<date>-<device-operations-id>.csv with the device operation id as a unique identifier of the sensor raw data within the MOSAiC project. : GEM-2 and MagnaProbe data were collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00. Dataset Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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
Hendricks, Stefan
Itkin, Polona
Webster, Melinda
Von Albedyll, Luisa
Jutila, Arttu
Raphael, Ian
Immerz, Antonia
Jaggi, Matthias
Haas, Christian
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 `latitude_b`: latitude minute `depthCm`: Snow thickness or melt ponds depth in cm `flag`: flag value indicating the type or measurement* Flag values are: -1 : melt pond 1 : snow or surface scattering layer depth, 2 : mixed surface type when pond water pools at the base of a melting The filenames follow the naming convention of <sensor>-mosaic-transect-<date>-<device-operations-id>.csv with the device operation id as a unique identifier of the sensor raw data within the MOSAiC project. : GEM-2 and MagnaProbe data were collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00.
format Dataset
author Hendricks, Stefan
Itkin, Polona
Webster, Melinda
Von Albedyll, Luisa
Jutila, Arttu
Raphael, Ian
Immerz, Antonia
Jaggi, Matthias
Haas, Christian
author_facet Hendricks, Stefan
Itkin, Polona
Webster, Melinda
Von Albedyll, Luisa
Jutila, Arttu
Raphael, Ian
Immerz, Antonia
Jaggi, Matthias
Haas, Christian
author_sort Hendricks, Stefan
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
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5155243
https://zenodo.org/record/5155243
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation https://dx.doi.org/10.5281/zenodo.5155244
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.5155243
https://doi.org/10.5281/zenodo.5155244
_version_ 1766333067770724352