Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, 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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Bibliographic Details
Main Authors: Jutila, Arttu, Hendricks, Stefan, Ricker, Robert, von Albedyll, Luisa, Haas, Christian
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
AC
ice
age
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.933890
https://doi.org/10.1594/PANGAEA.933890
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.933890
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.933890 2023-05-15T14:53:00+02:00 Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, Version 1 Jutila, Arttu Hendricks, Stefan Ricker, Robert von Albedyll, Luisa Haas, Christian MEDIAN LATITUDE: 72.437470 * MEDIAN LONGITUDE: -162.672064 * SOUTH-BOUND LATITUDE: 71.158401 * WEST-BOUND LONGITUDE: -167.542252 * NORTH-BOUND LATITUDE: 73.513367 * EAST-BOUND LONGITUDE: -156.567520 * DATE/TIME START: 2017-04-08T19:05:29 * DATE/TIME END: 2017-04-08T21:53:19 2021-07-21 text/tab-separated-values, 2159506 data points https://doi.pangaea.de/10.1594/PANGAEA.933890 https://doi.org/10.1594/PANGAEA.933890 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.933890 https://doi.org/10.1594/PANGAEA.933890 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY 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 P5_205_PAMARCMIP_2017_1704082001 POLAR 5 Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project 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 Snow thickness Dataset 2021 ftpangaea https://doi.org/10.1594/PANGAEA.933890 https://doi.org/10.1594/PANGAEA.933883 https://doi.org/10.5194/tc-16-259-2022 2022-12-22T21:53:56Z 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 Arctic Ocean Chukchi Sea ice The Cryosphere ice covered areas PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean ENVELOPE(-167.542252,-156.567520,73.513367,71.158401)
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
P5_205_PAMARCMIP_2017_1704082001
POLAR 5
Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project
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
Snow thickness
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
P5_205_PAMARCMIP_2017_1704082001
POLAR 5
Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project
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
Snow thickness
Jutila, Arttu
Hendricks, Stefan
Ricker, Robert
von Albedyll, Luisa
Haas, Christian
Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, 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
P5_205_PAMARCMIP_2017_1704082001
POLAR 5
Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project
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
Snow thickness
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_1704082001, Version 1
title_short Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, Version 1
title_full Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, Version 1
title_fullStr Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, Version 1
title_full_unstemmed Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704082001, Version 1
title_sort airborne sea ice parameters during aircraft flight p5_205_pamarcmip_2017_1704082001, version 1
publisher PANGAEA
publishDate 2021
url https://doi.pangaea.de/10.1594/PANGAEA.933890
https://doi.org/10.1594/PANGAEA.933890
op_coverage MEDIAN LATITUDE: 72.437470 * MEDIAN LONGITUDE: -162.672064 * SOUTH-BOUND LATITUDE: 71.158401 * WEST-BOUND LONGITUDE: -167.542252 * NORTH-BOUND LATITUDE: 73.513367 * EAST-BOUND LONGITUDE: -156.567520 * DATE/TIME START: 2017-04-08T19:05:29 * DATE/TIME END: 2017-04-08T21:53:19
long_lat ENVELOPE(-167.542252,-156.567520,73.513367,71.158401)
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
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 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.933890
https://doi.org/10.1594/PANGAEA.933890
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.933890
https://doi.org/10.1594/PANGAEA.933883
https://doi.org/10.5194/tc-16-259-2022
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