Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1
Airborne multi-instrument measurements of sea ice were made in April 2017 as part of the Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project (PAMARCMIP) under the AWI IceBird campaign series. The data consist of four surveys spanning sea-ice covered areas in the Beaufort...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.933883 2024-09-15T17:51:33+00:00 Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian MEDIAN LATITUDE: 72.114769 * MEDIAN LONGITUDE: -146.072344 * SOUTH-BOUND LATITUDE: 70.020103 * WEST-BOUND LONGITUDE: -167.542252 * NORTH-BOUND LATITUDE: 75.191910 * EAST-BOUND LONGITUDE: -127.403671 * DATE/TIME START: 2017-04-02T19:02:48 * DATE/TIME END: 2017-04-08T21:53:19 2021 application/zip, 4 datasets https://doi.pangaea.de/10.1594/PANGAEA.933883 https://doi.org/10.1594/PANGAEA.933883 en eng PANGAEA Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2024): Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.966009 Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Krumpen, Thomas; Haas, Christian (2022): Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements. The Cryosphere, 16(1), 259-275, https://doi.org/10.5194/tc-16-259-2022 https://doi.pangaea.de/10.1594/PANGAEA.933883 https://doi.org/10.1594/PANGAEA.933883 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Airborne surveys to collect measurements of sea ice thickness in the Arctic Arctic Ocean AWI_IceBird AWI_SeaIce Cryosphere Freeboard Sea ice Sea ice density Sea Ice Physics @ AWI Sea ice thickness snow depth dataset publication series 2021 ftpangaea https://doi.org/10.1594/PANGAEA.93388310.1594/PANGAEA.96600910.5194/tc-16-259-2022 2024-07-24T02:31:21Z Airborne multi-instrument measurements of sea ice were made in April 2017 as part of the Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project (PAMARCMIP) under the AWI IceBird campaign series. The data consist of four surveys spanning sea-ice covered areas in the Beaufort and Chukchi Seas. For each flight, the geolocated total (ice+snow) thickness data from an airborne electromagnetic (EM) induction sensor are provided with a point spacing of approximately 5-6 meters. Larger gaps in the trajectories arise from high-altitude calibrations of the EM sensor. The data are combined with collocated and simultaneous snow depth measurements from an airborne frequency-modulated continuous-wave ultrawideband radar, snow freeboard measurements from an airborne near-infrared laser scanner, and surface temperature measurements from an airborne infrared radiation pyrometer. Each value represents the average within the approximately 40 m diameter footprint of the EM sensor, thus representing a smoothed representation. These values are then used to derive further sea ice parameters such as sea ice bulk density. The trajectory data contain the full and unfiltered data record with quality flags. Other/Unknown Material Arctic Arctic Ocean Chukchi Sea ice The Cryosphere ice covered areas PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-167.542252,-127.403671,75.191910,70.020103) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Airborne surveys to collect measurements of sea ice thickness in the Arctic Arctic Ocean AWI_IceBird AWI_SeaIce Cryosphere Freeboard Sea ice Sea ice density Sea Ice Physics @ AWI Sea ice thickness snow depth |
spellingShingle |
Airborne surveys to collect measurements of sea ice thickness in the Arctic Arctic Ocean AWI_IceBird AWI_SeaIce Cryosphere Freeboard Sea ice Sea ice density Sea Ice Physics @ AWI Sea ice thickness snow depth Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
topic_facet |
Airborne surveys to collect measurements of sea ice thickness in the Arctic Arctic Ocean AWI_IceBird AWI_SeaIce Cryosphere Freeboard Sea ice Sea ice density Sea Ice Physics @ AWI Sea ice thickness snow depth |
description |
Airborne multi-instrument measurements of sea ice were made in April 2017 as part of the Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project (PAMARCMIP) under the AWI IceBird campaign series. The data consist of four surveys spanning sea-ice covered areas in the Beaufort and Chukchi Seas. For each flight, the geolocated total (ice+snow) thickness data from an airborne electromagnetic (EM) induction sensor are provided with a point spacing of approximately 5-6 meters. Larger gaps in the trajectories arise from high-altitude calibrations of the EM sensor. The data are combined with collocated and simultaneous snow depth measurements from an airborne frequency-modulated continuous-wave ultrawideband radar, snow freeboard measurements from an airborne near-infrared laser scanner, and surface temperature measurements from an airborne infrared radiation pyrometer. Each value represents the average within the approximately 40 m diameter footprint of the EM sensor, thus representing a smoothed representation. These values are then used to derive further sea ice parameters such as sea ice bulk density. The trajectory data contain the full and unfiltered data record with quality flags. |
format |
Other/Unknown Material |
author |
Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian |
author_facet |
Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian |
author_sort |
Jutila, Arttu |
title |
Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
title_short |
Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
title_full |
Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
title_fullStr |
Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
title_full_unstemmed |
Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 |
title_sort |
airborne sea ice parameters during the pamarcmip2017 campaign in the arctic ocean, version 1 |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.933883 https://doi.org/10.1594/PANGAEA.933883 |
op_coverage |
MEDIAN LATITUDE: 72.114769 * MEDIAN LONGITUDE: -146.072344 * SOUTH-BOUND LATITUDE: 70.020103 * WEST-BOUND LONGITUDE: -167.542252 * NORTH-BOUND LATITUDE: 75.191910 * EAST-BOUND LONGITUDE: -127.403671 * DATE/TIME START: 2017-04-02T19:02:48 * DATE/TIME END: 2017-04-08T21:53:19 |
long_lat |
ENVELOPE(-167.542252,-127.403671,75.191910,70.020103) |
genre |
Arctic Arctic Ocean Chukchi Sea ice The Cryosphere ice covered areas |
genre_facet |
Arctic Arctic Ocean Chukchi Sea ice The Cryosphere ice covered areas |
op_relation |
Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2024): Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.966009 Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Krumpen, Thomas; Haas, Christian (2022): Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements. The Cryosphere, 16(1), 259-275, https://doi.org/10.5194/tc-16-259-2022 https://doi.pangaea.de/10.1594/PANGAEA.933883 https://doi.org/10.1594/PANGAEA.933883 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.93388310.1594/PANGAEA.96600910.5194/tc-16-259-2022 |
_version_ |
1810293481942286336 |