Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge
Since 2009, the ultra-wideband snow radar on Operation IceBridge (OIB; a NASA airborne mission to survey the polar ice covers) has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Progressive improvements in radar hardware and data processing methodologies have le...
Published in: | The Cryosphere |
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Online Access: | http://hdl.handle.net/1808/27281 https://doi.org/10.5194/tc-11-2571-2017 |
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ftunivkansas:oai:kuscholarworks.ku.edu:1808/27281 2023-05-15T13:35:10+02:00 Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge Kwok, Ron Kurtz, Nathan T. Brucker, Ludovic Ivanoff, Alvaro Newman, Thomas Farrel, Sinead L. King, Joshua Howell, Stephen Webster, Melinda A. Paden, John Leuschen, Carl J. MacGregor, Joseph A. Richter-Menge, Jacqueline Harbeck, Jeremy Tschudi, Mark 2018-11-09T16:26:55Z http://hdl.handle.net/1808/27281 https://doi.org/10.5194/tc-11-2571-2017 unknown European Geosciences Union Kwok, R., Kurtz, N. T., Brucker, L., Ivanoff, A., Newman, T., Farrell, S. L., King, J., Howell, S., Webster, M. A., Paden, J., Leuschen, C., MacGregor, J. A., Richter-Menge, J., Harbeck, J., and Tschudi, M.: Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge, The Cryosphere, 11, 2571-2593, https://doi.org/10.5194/tc-11-2571-2017, 2017. http://hdl.handle.net/1808/27281 doi:10.5194/tc-11-2571-2017 © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. https://creativecommons.org/licenses/by/3.0/ openAccess CC-BY Article 2018 ftunivkansas https://doi.org/10.5194/tc-11-2571-2017 2022-08-26T13:23:45Z Since 2009, the ultra-wideband snow radar on Operation IceBridge (OIB; a NASA airborne mission to survey the polar ice covers) has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Progressive improvements in radar hardware and data processing methodologies have led to improved data quality for subsequent retrieval of snow depth. Existing retrieval algorithms differ in the way the air–snow (a–s) and snow–ice (s–i) interfaces are detected and localized in the radar returns and in how the system limitations are addressed (e.g., noise, resolution). In 2014, the Snow Thickness On Sea Ice Working Group (STOSIWG) was formed and tasked with investigating how radar data quality affects snow depth retrievals and how retrievals from the various algorithms differ. The goal is to understand the limitations of the estimates and to produce a well-documented, long-term record that can be used for understanding broader changes in the Arctic climate system. Here, we assess five retrieval algorithms by comparisons with field measurements from two ground-based campaigns, including the BRomine, Ozone, and Mercury EXperiment (BROMEX) at Barrow, Alaska; a field program by Environment and Climate Change Canada at Eureka, Nunavut; and available climatology and snowfall from ERA-Interim reanalysis. The aim is to examine available algorithms and to use the assessment results to inform the development of future approaches. We present results from these assessments and highlight key considerations for the production of a long-term, calibrated geophysical record of springtime snow thickness over Arctic sea ice. Article in Journal/Newspaper Antarc* Antarctic Arctic Arctic Barrow Climate change Eureka Nunavut Sea ice The Cryosphere Alaska The University of Kansas: KU ScholarWorks Antarctic Arctic Canada Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Nunavut The Cryosphere 11 6 2571 2593 |
institution |
Open Polar |
collection |
The University of Kansas: KU ScholarWorks |
op_collection_id |
ftunivkansas |
language |
unknown |
description |
Since 2009, the ultra-wideband snow radar on Operation IceBridge (OIB; a NASA airborne mission to survey the polar ice covers) has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Progressive improvements in radar hardware and data processing methodologies have led to improved data quality for subsequent retrieval of snow depth. Existing retrieval algorithms differ in the way the air–snow (a–s) and snow–ice (s–i) interfaces are detected and localized in the radar returns and in how the system limitations are addressed (e.g., noise, resolution). In 2014, the Snow Thickness On Sea Ice Working Group (STOSIWG) was formed and tasked with investigating how radar data quality affects snow depth retrievals and how retrievals from the various algorithms differ. The goal is to understand the limitations of the estimates and to produce a well-documented, long-term record that can be used for understanding broader changes in the Arctic climate system. Here, we assess five retrieval algorithms by comparisons with field measurements from two ground-based campaigns, including the BRomine, Ozone, and Mercury EXperiment (BROMEX) at Barrow, Alaska; a field program by Environment and Climate Change Canada at Eureka, Nunavut; and available climatology and snowfall from ERA-Interim reanalysis. The aim is to examine available algorithms and to use the assessment results to inform the development of future approaches. We present results from these assessments and highlight key considerations for the production of a long-term, calibrated geophysical record of springtime snow thickness over Arctic sea ice. |
format |
Article in Journal/Newspaper |
author |
Kwok, Ron Kurtz, Nathan T. Brucker, Ludovic Ivanoff, Alvaro Newman, Thomas Farrel, Sinead L. King, Joshua Howell, Stephen Webster, Melinda A. Paden, John Leuschen, Carl J. MacGregor, Joseph A. Richter-Menge, Jacqueline Harbeck, Jeremy Tschudi, Mark |
spellingShingle |
Kwok, Ron Kurtz, Nathan T. Brucker, Ludovic Ivanoff, Alvaro Newman, Thomas Farrel, Sinead L. King, Joshua Howell, Stephen Webster, Melinda A. Paden, John Leuschen, Carl J. MacGregor, Joseph A. Richter-Menge, Jacqueline Harbeck, Jeremy Tschudi, Mark Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
author_facet |
Kwok, Ron Kurtz, Nathan T. Brucker, Ludovic Ivanoff, Alvaro Newman, Thomas Farrel, Sinead L. King, Joshua Howell, Stephen Webster, Melinda A. Paden, John Leuschen, Carl J. MacGregor, Joseph A. Richter-Menge, Jacqueline Harbeck, Jeremy Tschudi, Mark |
author_sort |
Kwok, Ron |
title |
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
title_short |
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
title_full |
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
title_fullStr |
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
title_full_unstemmed |
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge |
title_sort |
intercomparison of snow depth retrievals over arctic sea ice from radar data acquired by operation icebridge |
publisher |
European Geosciences Union |
publishDate |
2018 |
url |
http://hdl.handle.net/1808/27281 https://doi.org/10.5194/tc-11-2571-2017 |
long_lat |
ENVELOPE(-85.940,-85.940,79.990,79.990) |
geographic |
Antarctic Arctic Canada Eureka Nunavut |
geographic_facet |
Antarctic Arctic Canada Eureka Nunavut |
genre |
Antarc* Antarctic Arctic Arctic Barrow Climate change Eureka Nunavut Sea ice The Cryosphere Alaska |
genre_facet |
Antarc* Antarctic Arctic Arctic Barrow Climate change Eureka Nunavut Sea ice The Cryosphere Alaska |
op_relation |
Kwok, R., Kurtz, N. T., Brucker, L., Ivanoff, A., Newman, T., Farrell, S. L., King, J., Howell, S., Webster, M. A., Paden, J., Leuschen, C., MacGregor, J. A., Richter-Menge, J., Harbeck, J., and Tschudi, M.: Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge, The Cryosphere, 11, 2571-2593, https://doi.org/10.5194/tc-11-2571-2017, 2017. http://hdl.handle.net/1808/27281 doi:10.5194/tc-11-2571-2017 |
op_rights |
© Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. https://creativecommons.org/licenses/by/3.0/ openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-11-2571-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
6 |
container_start_page |
2571 |
op_container_end_page |
2593 |
_version_ |
1766061840004022272 |