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...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: Kwok, Ron, Kurtz, Nathan T., Brucker, Ludovic, Ivanoff, Alvaro, Newman, Thomas, Farrell, Sinead L., King, Joshua, Howell, Stephen, Webster, Melinda A., Paden, John, Leuschen, Carl, MacGregor, Joseph A., Richter-Menge, Jacqueline, Harbeck, Jeremy, Tschudi, Mark
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
article
Verlagsveröffentlichung
Antarctic
Arctic
Canada
Eureka
Nunavut
Antarc*
Barrow
Climate change
Sea ice
The Cryosphere
Alaska
Online Access:https://doi.org/10.5194/tc-11-2571-2017
https://noa.gwlb.de/receive/cop_mods_00008060
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00008017/tc-11-2571-2017.pdf
https://tc.copernicus.org/articles/11/2571/2017/tc-11-2571-2017.pdf
Description
Summary: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.

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