id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.933841
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.933841 2024-09-15T17:54:15+00:00 Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1 Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian MEDIAN LATITUDE: 71.487130 * MEDIAN LONGITUDE: -132.174862 * SOUTH-BOUND LATITUDE: 70.171013 * WEST-BOUND LONGITUDE: -133.972488 * NORTH-BOUND LATITUDE: 71.998756 * EAST-BOUND LONGITUDE: -127.403671 * DATE/TIME START: 2017-04-02T19:02:48 * DATE/TIME END: 2017-04-02T21:11:16 2021 text/tab-separated-values, 1757783 data points https://doi.pangaea.de/10.1594/PANGAEA.933841 https://doi.org/10.1594/PANGAEA.933841 en eng PANGAEA https://doi.org/10.1594/PANGAEA.933883 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.933841 https://doi.org/10.1594/PANGAEA.933841 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AC Airborne electromagnetic (EM) induction sounding Airborne Laserscanner (ALS) RIEGL VQ580 Airborne surveys to collect measurements of sea ice thickness in the Arctic Airborne ultrawideband radar Aircraft Arctic Ocean AWI_IceBird AWI_SeaIce Calculated Cryosphere DATE/TIME Density ice uncertainty Freeboard Ice type Infrared radiation pyrometer Heitronics KT19.85II LATITUDE LONGITUDE Number of observations P5_205_PAMARCMIP_2017_1704021401 P5-205_PAMARCMIP_2017 PAMARCMIP POLAR 5 Quality flag Sea ice age Sea ice and snow thickness Sea ice density Sea ice freeboard Sea Ice Physics @ AWI Sea ice thickness snow depth Snow freeboard maximum minimum standard deviation dataset 2021 ftpangaea https://doi.org/10.1594/PANGAEA.93384110.1594/PANGAEA.93388310.5194/tc-16-259-2022 2024-07-24T02:31:42Z 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. Dataset Arctic Ocean Chukchi Sea ice The Cryosphere ice covered areas PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-133.972488,-127.403671,71.998756,70.171013)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AC
Airborne electromagnetic (EM) induction sounding
Airborne Laserscanner (ALS) RIEGL VQ580
Airborne surveys to collect measurements of sea ice thickness in the Arctic
Airborne ultrawideband radar
Aircraft
Arctic Ocean
AWI_IceBird
AWI_SeaIce
Calculated
Cryosphere
DATE/TIME
Density
ice
uncertainty
Freeboard
Ice type
Infrared radiation pyrometer
Heitronics
KT19.85II
LATITUDE
LONGITUDE
Number of observations
P5_205_PAMARCMIP_2017_1704021401
P5-205_PAMARCMIP_2017
PAMARCMIP
POLAR 5
Quality flag
Sea ice
age
Sea ice and snow thickness
Sea ice density
Sea ice freeboard
Sea Ice Physics @ AWI
Sea ice thickness
snow depth
Snow freeboard
maximum
minimum
standard deviation
spellingShingle AC
Airborne electromagnetic (EM) induction sounding
Airborne Laserscanner (ALS) RIEGL VQ580
Airborne surveys to collect measurements of sea ice thickness in the Arctic
Airborne ultrawideband radar
Aircraft
Arctic Ocean
AWI_IceBird
AWI_SeaIce
Calculated
Cryosphere
DATE/TIME
Density
ice
uncertainty
Freeboard
Ice type
Infrared radiation pyrometer
Heitronics
KT19.85II
LATITUDE
LONGITUDE
Number of observations
P5_205_PAMARCMIP_2017_1704021401
P5-205_PAMARCMIP_2017
PAMARCMIP
POLAR 5
Quality flag
Sea ice
age
Sea ice and snow thickness
Sea ice density
Sea ice freeboard
Sea Ice Physics @ AWI
Sea ice thickness
snow depth
Snow freeboard
maximum
minimum
standard deviation
Jutila, Arttu
Hendricks, Stefan
Ricker, Robert
von Albedyll, Luisa
Haas, Christian
Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
topic_facet AC
Airborne electromagnetic (EM) induction sounding
Airborne Laserscanner (ALS) RIEGL VQ580
Airborne surveys to collect measurements of sea ice thickness in the Arctic
Airborne ultrawideband radar
Aircraft
Arctic Ocean
AWI_IceBird
AWI_SeaIce
Calculated
Cryosphere
DATE/TIME
Density
ice
uncertainty
Freeboard
Ice type
Infrared radiation pyrometer
Heitronics
KT19.85II
LATITUDE
LONGITUDE
Number of observations
P5_205_PAMARCMIP_2017_1704021401
P5-205_PAMARCMIP_2017
PAMARCMIP
POLAR 5
Quality flag
Sea ice
age
Sea ice and snow thickness
Sea ice density
Sea ice freeboard
Sea Ice Physics @ AWI
Sea ice thickness
snow depth
Snow freeboard
maximum
minimum
standard deviation
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 Dataset
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 aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
title_short Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
title_full Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
title_fullStr Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
title_full_unstemmed Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1
title_sort airborne sea ice parameters during aircraft flight p5_205_pamarcmip_2017_1704021401, version 1
publisher PANGAEA
publishDate 2021
url https://doi.pangaea.de/10.1594/PANGAEA.933841
https://doi.org/10.1594/PANGAEA.933841
op_coverage MEDIAN LATITUDE: 71.487130 * MEDIAN LONGITUDE: -132.174862 * SOUTH-BOUND LATITUDE: 70.171013 * WEST-BOUND LONGITUDE: -133.972488 * NORTH-BOUND LATITUDE: 71.998756 * EAST-BOUND LONGITUDE: -127.403671 * DATE/TIME START: 2017-04-02T19:02:48 * DATE/TIME END: 2017-04-02T21:11:16
long_lat ENVELOPE(-133.972488,-127.403671,71.998756,70.171013)
genre Arctic Ocean
Chukchi
Sea ice
The Cryosphere
ice covered areas
genre_facet Arctic Ocean
Chukchi
Sea ice
The Cryosphere
ice covered areas
op_relation https://doi.org/10.1594/PANGAEA.933883
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.933841
https://doi.org/10.1594/PANGAEA.933841
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.93384110.1594/PANGAEA.93388310.5194/tc-16-259-2022
_version_ 1810430499002253312