A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting

被引:14
作者
Fons, Steven [1 ,2 ]
Kurtz, Nathan [2 ]
Bagnardi, Marco [2 ,3 ]
机构
[1] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD USA
[2] NASA Goddard Space Flight Ctr, Cryospher Sci Lab, Greenbelt, MD 20771 USA
[3] ADNET Syst Inc, Bethesda, MD USA
关键词
SNOW DEPTH; FREEBOARD RETRIEVAL; INTERANNUAL VARIABILITY; ALTIMETER MEASUREMENTS; CLIMATE-CHANGE; FLUCTUATIONS; BACKSCATTER; ICEBRIDGE; WEDDELL; ENVISAT;
D O I
10.5194/tc-17-2487-2023
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
We estimate the snow depth and snow freeboard of Antarctic sea ice using a comprehensive retrieval method (referred to as CryoSat-2 Waveform Fitting for Antarctic sea ice, or CS2WFA) consisting of a physical waveform model and a waveform-fitting process that fits modeled waveforms to CryoSat-2 data. These snow depth and snow freeboard estimates are combined with snow, sea ice, and sea water density values to calculate the sea ice thickness and volume over an 11+ year span between 2010 and 2021. We first compare our snow freeboard, snow depth, and sea ice thickness estimates to other altimetry- and ship-based observations and find good agreement overall in both along-track and monthly gridded comparisons. Some discrepancies exist in certain regions and seasons that are theorized to come from both sampling biases and the differing assumptions in the retrieval methods. We then present an 11+ year time series of sea ice thickness and volume both regionally and pan-Antarctic. This time series is used to uncover intra-decadal changes in the ice cover between 2010 and 2021, showing small, competing regional thickness changes of less than 0.5 cm yr(-1) in magnitude. Finally, we place these thickness estimates in the context of a longer-term, snow freeboard-derived, laser-radar sea ice thickness time series that began with NASA's Ice, Cloud, and land Elevation Satellite (ICESat) and continues with ICESat-2 and contend that reconciling and validating this longer-term, multi-sensor time series will be important in better understanding changes in the Antarctic sea ice cover.
引用
收藏
页码:2487 / 2508
页数:22
相关论文
共 74 条
[21]   Comparing methods of measuring sea-ice density in the East Antarctic [J].
Hutchings, Jennifer K. ;
Heil, Petra ;
Lecomte, Oliver ;
Stevens, Roger ;
Steer, Adam ;
Lieser, Jan L. .
ANNALS OF GLACIOLOGY, 2015, 56 (69) :77-82
[22]   The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness [J].
Kacimi, Sahra ;
Kwok, Ron .
CRYOSPHERE, 2020, 14 (12) :4453-4474
[23]  
Kern Stefan, 2020, WDCC, V1, DOI 10.26050/WDCC/ESACCIPSMVSBSIOV2
[24]   Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches [J].
Kern, Stefan ;
Ozsoy-Cicek, Burcu ;
Worby, Anthony P. .
REMOTE SENSING, 2016, 8 (07) :538
[25]   Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches [J].
Kern, Stefan ;
Ozsoy-Cicek, Burcu .
REMOTE SENSING, 2016, 8 (06)
[26]   Uncertainties in Antarctic sea-ice thickness retrieval from ICESat [J].
Kern, Stefan ;
Spreen, Gunnar .
ANNALS OF GLACIOLOGY, 2015, 56 (69) :107-119
[27]   An improved CryoSat-2 sea ice freeboard retrieval algorithm through the use of waveform fitting [J].
Kurtz, N. T. ;
Galin, N. ;
Studinger, M. .
CRYOSPHERE, 2014, 8 (04) :1217-1237
[28]   Satellite observations of Antarctic sea ice thickness and volume [J].
Kurtz, N. T. ;
Markus, T. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2012, 117
[29]  
Kurtz Nathan, 2015, NSIDC
[30]   Comparison of ICESat data with airborne laser altimeter measurements over Arctic sea ice [J].
Kurtz, Nathan T. ;
Markus, Thorsten ;
Cavalieri, Donald J. ;
Krabill, William ;
Sonntag, John G. ;
Miller, Jeffrey .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (07) :1913-1924