Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042
High-resolution MODIS thermal infrared satellite data are used to infer spatial and temporal characteristics of 17 prominent coastal polynya regions over the entire Arctic basin. Thin-ice thickness distributions (< 20 cm) are calculated from MODIS ice-surface temperatures, combined with ECMWF ERA...
Main Authors: | , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA - Data Publisher for Earth & Environmental Science
2016
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.869294 https://doi.pangaea.de/10.1594/PANGAEA.869294 |
id |
ftdatacite:10.1594/pangaea.869294 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.1594/pangaea.869294 2023-05-15T14:29:03+02:00 Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 Preußer, Andreas Heinemann, Günther Willmes, Sascha Paul, Stephan 2016 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.869294 https://doi.pangaea.de/10.1594/PANGAEA.869294 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.5194/tc-10-3021-2016 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY Event label Optional event label DATE/TIME Latitude of event Longitude of event Area Sea ice production derived from MODIS remote sensing data System Laptev-Sea Transdrift TRANSDRIFT Supplementary Dataset Dataset dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.869294 https://doi.org/10.5194/tc-10-3021-2016 2022-03-10T12:54:36Z High-resolution MODIS thermal infrared satellite data are used to infer spatial and temporal characteristics of 17 prominent coastal polynya regions over the entire Arctic basin. Thin-ice thickness distributions (< 20 cm) are calculated from MODIS ice-surface temperatures, combined with ECMWF ERA-Interim atmospheric reanalysis data in an energy balance model for 13 winter-seasons (2002/2003 to 2014/2015; November to March). From all available MODIS swath-data, (quasi-) daily thin-ice thickness composites are computed in order to derive quantities such as polynya area and total thermodynamic (i.e., potential) ice production. A gap-filling approach is applied to account for cloud and data gaps in the MODIS composites. All polynya regions combined cover an average thin-ice area of 226.6 ± 36.1 x10³ km² in winter. This allows for an average total wintertime accumulated ice production of about 1811 ± 293 km³, whereby the Kara Sea region, the North Water polynya (both 15%), polynyas at the western side of Novaya Zemlya (20%) as well as scattered smaller polynyas in the Canadian Arctic Archipelago (all combined 12%) are the main contributors. Other well-known sites of polynya formation (Laptev Sea, Chukchi Sea) show smaller contributions and range between 2 and 5%. We notice distinct differences to earlier studies on pan-Arctic polynya characteristics, originating in some part from the use of high-resolution MODIS data, as the capability to resolve small-scale (> 2km) polynyas and also large leads is increased. Despite the short record of 13 winter seasons, positive trends in ice production are detected for several regions of the eastern Arctic (most significantly in the Laptev Sea region with an increase of 6.8 km³/yr) and the North Water polynya, while other polynyas in the western Arctic show a more pronounced variability with varying trends. We emphasize the role of the Laptev Sea polynyas as being a major influence on Transpolar Drift characteristics through a distinct relation between increasing ice production and ice area export. Overall, our study presents a spatially highly accurate characterization of circumpolar polynya dynamics and ice production, which should be valuable for future modeling efforts on atmosphere - sea ice - ocean interactions in the Arctic. Dataset Arctic Archipelago Arctic Basin Arctic Canadian Arctic Archipelago Chukchi Chukchi Sea Kara Sea laptev Laptev Sea Novaya Zemlya Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Laptev Sea Kara Sea Chukchi Sea Canadian Arctic Archipelago Andreas ENVELOPE(-60.729,-60.729,-64.008,-64.008) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Event label Optional event label DATE/TIME Latitude of event Longitude of event Area Sea ice production derived from MODIS remote sensing data System Laptev-Sea Transdrift TRANSDRIFT |
spellingShingle |
Event label Optional event label DATE/TIME Latitude of event Longitude of event Area Sea ice production derived from MODIS remote sensing data System Laptev-Sea Transdrift TRANSDRIFT Preußer, Andreas Heinemann, Günther Willmes, Sascha Paul, Stephan Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
topic_facet |
Event label Optional event label DATE/TIME Latitude of event Longitude of event Area Sea ice production derived from MODIS remote sensing data System Laptev-Sea Transdrift TRANSDRIFT |
description |
High-resolution MODIS thermal infrared satellite data are used to infer spatial and temporal characteristics of 17 prominent coastal polynya regions over the entire Arctic basin. Thin-ice thickness distributions (< 20 cm) are calculated from MODIS ice-surface temperatures, combined with ECMWF ERA-Interim atmospheric reanalysis data in an energy balance model for 13 winter-seasons (2002/2003 to 2014/2015; November to March). From all available MODIS swath-data, (quasi-) daily thin-ice thickness composites are computed in order to derive quantities such as polynya area and total thermodynamic (i.e., potential) ice production. A gap-filling approach is applied to account for cloud and data gaps in the MODIS composites. All polynya regions combined cover an average thin-ice area of 226.6 ± 36.1 x10³ km² in winter. This allows for an average total wintertime accumulated ice production of about 1811 ± 293 km³, whereby the Kara Sea region, the North Water polynya (both 15%), polynyas at the western side of Novaya Zemlya (20%) as well as scattered smaller polynyas in the Canadian Arctic Archipelago (all combined 12%) are the main contributors. Other well-known sites of polynya formation (Laptev Sea, Chukchi Sea) show smaller contributions and range between 2 and 5%. We notice distinct differences to earlier studies on pan-Arctic polynya characteristics, originating in some part from the use of high-resolution MODIS data, as the capability to resolve small-scale (> 2km) polynyas and also large leads is increased. Despite the short record of 13 winter seasons, positive trends in ice production are detected for several regions of the eastern Arctic (most significantly in the Laptev Sea region with an increase of 6.8 km³/yr) and the North Water polynya, while other polynyas in the western Arctic show a more pronounced variability with varying trends. We emphasize the role of the Laptev Sea polynyas as being a major influence on Transpolar Drift characteristics through a distinct relation between increasing ice production and ice area export. Overall, our study presents a spatially highly accurate characterization of circumpolar polynya dynamics and ice production, which should be valuable for future modeling efforts on atmosphere - sea ice - ocean interactions in the Arctic. |
format |
Dataset |
author |
Preußer, Andreas Heinemann, Günther Willmes, Sascha Paul, Stephan |
author_facet |
Preußer, Andreas Heinemann, Günther Willmes, Sascha Paul, Stephan |
author_sort |
Preußer, Andreas |
title |
Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
title_short |
Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
title_full |
Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
title_fullStr |
Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
title_full_unstemmed |
Daily polynya area and ice production in circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015, supplement to: Preußer, Andreas; Heinemann, Günther; Willmes, Sascha; Paul, Stephan (2016): Circumpolar polynya regions and ice production in the Arctic: Results from MODIS thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. The Cryosphere, 10(6), 3021-3042 |
title_sort |
daily polynya area and ice production in circumpolar polynya regions in the arctic for 2002/2003 to 2014/2015, supplement to: preußer, andreas; heinemann, günther; willmes, sascha; paul, stephan (2016): circumpolar polynya regions and ice production in the arctic: results from modis thermal infrared imagery for 2002/2003 to 2014/2015 with a regional focus on the laptev sea. the cryosphere, 10(6), 3021-3042 |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2016 |
url |
https://dx.doi.org/10.1594/pangaea.869294 https://doi.pangaea.de/10.1594/PANGAEA.869294 |
long_lat |
ENVELOPE(-60.729,-60.729,-64.008,-64.008) |
geographic |
Arctic Laptev Sea Kara Sea Chukchi Sea Canadian Arctic Archipelago Andreas |
geographic_facet |
Arctic Laptev Sea Kara Sea Chukchi Sea Canadian Arctic Archipelago Andreas |
genre |
Arctic Archipelago Arctic Basin Arctic Canadian Arctic Archipelago Chukchi Chukchi Sea Kara Sea laptev Laptev Sea Novaya Zemlya Sea ice |
genre_facet |
Arctic Archipelago Arctic Basin Arctic Canadian Arctic Archipelago Chukchi Chukchi Sea Kara Sea laptev Laptev Sea Novaya Zemlya Sea ice |
op_relation |
https://dx.doi.org/10.5194/tc-10-3021-2016 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.869294 https://doi.org/10.5194/tc-10-3021-2016 |
_version_ |
1766303152305340416 |