Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2021
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| _version_ | 1867170111302926336 |
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| author | Itkin, Polona Webster, Melinda Hendricks, Stefan Oggier, Marc Jaggi, Matthias Ricker, Robert Arndt, Stefanie Divine, Dmitry V von Albedyll, Luisa Raphael, Ian Rohde, Jan Liston, Glen E |
| author_facet | Itkin, Polona Webster, Melinda Hendricks, Stefan Oggier, Marc Jaggi, Matthias Ricker, Robert Arndt, Stefanie Divine, Dmitry V von Albedyll, Luisa Raphael, Ian Rohde, Jan Liston, Glen E |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | At MOSAiC, we collected snow depths by Magnaprobe - an automated snow depth probe, throughout the seasons, most often alongside electromagnetic measurements for deriving total thickness. Most of the data were collected routinely along established transect lines and loops to create timeseries. Some data were collected opportunistically e.g., during 'events'. In addition, several repeated ridge transects were established. During the melt season (June – September 2020), the Magnaprobe was used to measure snow depth, surface scatter layer depth and melt pond depth. This repository includes data obtained by Magnaprobe, sea ice thickness derived by subtracting snow depth from co-located total thickness measurements, a descriptive document including maps (Magnaprobe Repository Description), and a table of with other transect-mode measurements at MOSAiC (Action Log Table): remote sensing instruments, snow structure measurements etc. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_937781 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition Itkin, Polona Webster, Melinda Hendricks, Stefan Oggier, Marc Jaggi, Matthias Ricker, Robert Arndt, Stefanie Divine, Dmitry V von Albedyll, Luisa Raphael, Ian Rohde, Jan Liston, Glen E Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Binary Object; Binary Object (File Size); electromagnetic induction; File content; GEM-2; ice; MAGNA; magnaprobe; Magnaprobe; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS122/1; PS122/1_10-59; PS122/1_4-1; PS122/1_5-27; PS122/1_6-50; PS122/1_7-62; PS122/1_8-58; PS122/1_9-54; PS122/2; PS122/2_16-83; PS122/2_16-84; PS122/2_17-113; PS122/2_18-80; PS122/2_19-101; PS122/2_19-103; PS122/2_19-107; PS122/2_19-110; PS122/2_19-113; PS122/2_19-139; PS122/2_20-124; PS122/2_20-43; PS122/2_20-95; PS122/2_20-98; PS122/2_21-140; PS122/2_21-141; PS122/2_21-142; PS122/2_22-92; PS122/2_22-94; PS122/2_23-62; PS122/2_23-90; PS122/2_24-69; PS122/2_25-119; PS122/2_25-122; PS122/2_25-124; PS122/3; PS122/3_29-67; PS122/3_29-70; PS122/3_29-73; PS122/3_30-88; PS122/3_30-89; PS122/3_32-95; PS122/3_33-91; PS122/3_33-92; PS122/3_34-15; PS122/3_34-88; PS122/3_34-89; PS122/3_35-112; PS122/3_35-114; PS122/3_35-20; PS122/3_35-21; PS122/3_36-145; PS122/3_36-153; PS122/3_37-134; PS122/3_37-82; PS122/3_37-83; PS122/3_37-84; PS122/3_38-80; PS122/3_38-81; PS122/3_38-82; PS122/3_39-131; PS122/3_39-132; PS122/3_39-133; PS122/4; PS122/4_44-265; PS122/4_44-266; PS122/4_44-267; PS122/4_44-268; PS122/4_44-269; PS122/4_45-198; PS122/4_45-199; PS122/4_45-200; PS122/4_45-201; PS122/4_45-202; PS122/4_45-203; PS122/4_46-234; PS122/4_46-235; PS122/4_46-236; PS122/4_46-237; PS122/4_46-238; PS122/4_46-239; PS122/4_47-220; PS122/4_47-221; PS122/4_47-222; PS122/4_47-223; PS122/4_47-224; PS122/4_47-225; PS122/4_47-226; PS122/4_47-242; PS122/4_48-245; PS122/4_48-246; PS122/4_48-247; PS122/4_48-248; PS122/4_48-249; PS122/4_48-250; PS122/4_48-275; PS122/4_49-115; PS122/4_49-116; PS122/4_49-120; PS122/5; PS122/5_59-256; PS122/5_59-411; PS122/5_59-412; PS122/5_59-413; PS122/5_60-163; PS122/5_60-164; PS122/5_60-58; PS122/5_61-110; PS122/5_61-111; PS122/5_61-216; PS122/5_61-217; PS122/5_62-17; PS122/5_62-239; PS122/5_62-241; PS122/5_62-242; PS122/5_62-243; PS122/5_62-244; PS122/5_63-145; PS122/5_63-37; PS122/5_63-80; Sea ice mass balance; Sea ice thickness; snow depth; SPP1158; transect At MOSAiC, we collected snow depths by Magnaprobe - an automated snow depth probe, throughout the seasons, most often alongside electromagnetic measurements for deriving total thickness. Most of the data were collected routinely along established transect lines and loops to create timeseries. Some data were collected opportunistically e.g., during 'events'. In addition, several repeated ridge transects were established. During the melt season (June – September 2020), the Magnaprobe was used to measure snow depth, surface scatter layer depth and melt pond depth. This repository includes data obtained by Magnaprobe, sea ice thickness derived by subtracting snow depth from co-located total thickness measurements, a descriptive document including maps (Magnaprobe Repository Description), and a table of with other transect-mode measurements at MOSAiC (Action Log Table): remote sensing instruments, snow structure measurements etc. |
| title | Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition |
| topic | Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Binary Object; Binary Object (File Size); electromagnetic induction; File content; GEM-2; ice; MAGNA; magnaprobe; Magnaprobe; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS122/1; PS122/1_10-59; PS122/1_4-1; PS122/1_5-27; PS122/1_6-50; PS122/1_7-62; PS122/1_8-58; PS122/1_9-54; PS122/2; PS122/2_16-83; PS122/2_16-84; PS122/2_17-113; PS122/2_18-80; PS122/2_19-101; PS122/2_19-103; PS122/2_19-107; PS122/2_19-110; PS122/2_19-113; PS122/2_19-139; PS122/2_20-124; PS122/2_20-43; PS122/2_20-95; PS122/2_20-98; PS122/2_21-140; PS122/2_21-141; PS122/2_21-142; PS122/2_22-92; PS122/2_22-94; PS122/2_23-62; PS122/2_23-90; PS122/2_24-69; PS122/2_25-119; PS122/2_25-122; PS122/2_25-124; PS122/3; PS122/3_29-67; PS122/3_29-70; PS122/3_29-73; PS122/3_30-88; PS122/3_30-89; PS122/3_32-95; PS122/3_33-91; PS122/3_33-92; PS122/3_34-15; PS122/3_34-88; PS122/3_34-89; PS122/3_35-112; PS122/3_35-114; PS122/3_35-20; PS122/3_35-21; PS122/3_36-145; PS122/3_36-153; PS122/3_37-134; PS122/3_37-82; PS122/3_37-83; PS122/3_37-84; PS122/3_38-80; PS122/3_38-81; PS122/3_38-82; PS122/3_39-131; PS122/3_39-132; PS122/3_39-133; PS122/4; PS122/4_44-265; PS122/4_44-266; PS122/4_44-267; PS122/4_44-268; PS122/4_44-269; PS122/4_45-198; PS122/4_45-199; PS122/4_45-200; PS122/4_45-201; PS122/4_45-202; PS122/4_45-203; PS122/4_46-234; PS122/4_46-235; PS122/4_46-236; PS122/4_46-237; PS122/4_46-238; PS122/4_46-239; PS122/4_47-220; PS122/4_47-221; PS122/4_47-222; PS122/4_47-223; PS122/4_47-224; PS122/4_47-225; PS122/4_47-226; PS122/4_47-242; PS122/4_48-245; PS122/4_48-246; PS122/4_48-247; PS122/4_48-248; PS122/4_48-249; PS122/4_48-250; PS122/4_48-275; PS122/4_49-115; PS122/4_49-116; PS122/4_49-120; PS122/5; PS122/5_59-256; PS122/5_59-411; PS122/5_59-412; PS122/5_59-413; PS122/5_60-163; PS122/5_60-164; PS122/5_60-58; PS122/5_61-110; PS122/5_61-111; PS122/5_61-216; PS122/5_61-217; PS122/5_62-17; PS122/5_62-239; PS122/5_62-241; PS122/5_62-242; PS122/5_62-243; PS122/5_62-244; PS122/5_63-145; PS122/5_63-37; PS122/5_63-80; Sea ice mass balance; Sea ice thickness; snow depth; SPP1158; transect |
| url | https://doi.org/10.1594/PANGAEA.937781 |