globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-11-2571-2017
Scopus记录号: 2-s2.0-85034114929
论文题名:
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge
作者: 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; , Tschudi M
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期:6
起始页码: 2571
结束页码: 2593
语种: 英语
英文关键词: air-snow interaction ; algorithm ; climate change ; data acquisition ; data processing ; data quality ; ground-based measurement ; hardware ; ice thickness ; radar ; sea ice ; snow cover ; Alaska ; Arctic ; Arctic and Antarctic ; Arctic Ocean ; Canada ; Ellesmere Island ; Eureka ; Nunavut ; Nunavut ; Queen Elizabeth Islands ; United States
英文摘要: 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. © 2017 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75479
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Cryospheric Sciences Laboratory, NASA, Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Goddard Earth Sciences Technology and Research Studies and Investigations, Columbia, MD, United States; ADNET Systems Inc., Lanham, MD, United States; Department of Atmospheric Physics, University of Toronto, Toronto, ON, Canada; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Laboratory for Satellite Altimetry, Satellite Oceanography and Climatology Division, NOAA, Center for Weather and Climate Prediction, College Park, MD, United States; Climate Research Division, Environment and Climate Change Canada, Toronto, ON, Canada; Center for Remote Sensing of Ice Sheets, University of Kansas, Lawrence, KS, United States; Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, United States; Colorado Center for Astrodynamics Research, University of Colorado Boulder, Boulder, CO, United States

Recommended Citation:
Kwok R,, Kurtz N,T,et al. Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge[J]. Cryosphere,2017-01-01,11(6)
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