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...
Main Authors: | , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2021
|
Subjects: | |
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 |
_version_ |
1766324416758677504 |