Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2

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...

Full description

Bibliographic Details
Main Authors: Jutila, Arttu, Hendricks, Stefan, Ricker, Robert, von Albedyll, Luisa, Haas, Christian
Format: Other/Unknown Material
Language:English
Published: PANGAEA 2024
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.966009
https://doi.org/10.1594/PANGAEA.966009
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.966009
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.966009 2024-09-15T17:51:32+00:00 Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2 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 2024 application/zip, 4 datasets https://doi.pangaea.de/10.1594/PANGAEA.966009 https://doi.org/10.1594/PANGAEA.966009 en eng PANGAEA 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 Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2021): Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.933883 https://doi.pangaea.de/10.1594/PANGAEA.966009 https://doi.org/10.1594/PANGAEA.966009 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 2024 ftpangaea https://doi.org/10.1594/PANGAEA.96600910.5194/tc-16-259-202210.1594/PANGAEA.933883 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 2
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 2
title_short Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2
title_full Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2
title_fullStr Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2
title_full_unstemmed Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, Version 2
title_sort airborne sea ice parameters during the pamarcmip2017 campaign in the arctic ocean, version 2
publisher PANGAEA
publishDate 2024
url https://doi.pangaea.de/10.1594/PANGAEA.966009
https://doi.org/10.1594/PANGAEA.966009
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; 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
Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2021): Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.933883
https://doi.pangaea.de/10.1594/PANGAEA.966009
https://doi.org/10.1594/PANGAEA.966009
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.96600910.5194/tc-16-259-202210.1594/PANGAEA.933883
_version_ 1810293466815528960