Articles | Volume 15, issue 7
https://doi.org/10.5194/tc-15-3083-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-3083-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessment of ICESat-2 ice surface elevations over the Chinese Antarctic Research Expedition (CHINARE) route, East Antarctica, based on coordinated multi-sensor observations
Rongxing Li
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Hongwei Li
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Gang Qiao
CORRESPONDING AUTHOR
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Haotian Cui
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Youquan He
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Gang Hai
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Huan Xie
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Yuan Cheng
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Bofeng Li
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Related authors
S. Ge, Y. Cheng, R. Li, H. Cui, Z. Yu, T. Chang, S. Luo, Z. Li, G. Li, A. Zhao, X. Yuan, Y. Li, M. Xia, X. Wang, and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 757–763, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-757-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-757-2022, 2022
Z. Yu, Z. Cao, C. Yu, G. Qiao, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 799–804, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-799-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-799-2022, 2022
A. Zhao, Y. Cheng, D. Lv, M. Xia, R. Li, L. An, S. Liu, and Y. Tian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 805–811, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-805-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-805-2022, 2022
Rongxing Li, Yuan Cheng, Haotian Cui, Menglian Xia, Xiaohan Yuan, Zhen Li, Shulei Luo, and Gang Qiao
The Cryosphere, 16, 737–760, https://doi.org/10.5194/tc-16-737-2022, https://doi.org/10.5194/tc-16-737-2022, 2022
Short summary
Short summary
Historical velocity maps of the Antarctic ice sheet are valuable for long-term ice flow dynamics analysis. We developed an innovative method for correcting overestimations existing in historical velocity maps. The method is validated rigorously using high-quality Landsat 8 images and then successfully applied to historical velocity maps. The historical change signatures are preserved and can be used for assessing the impact of long-term global climate changes on the ice sheet.
Lin Li, Aiguo Zhao, Tiantian Feng, Xiangbin Cui, Lu An, Ben Xu, Shinan Lang, Liwen Jing, Tong Hao, Jingxue Guo, Bo Sun, and Rongxing Li
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-332, https://doi.org/10.5194/tc-2021-332, 2021
Preprint withdrawn
Short summary
Short summary
No subglacial lakes have been reported in Princess Elizabeth Land (PEL), East Antarctica. In this study, thanks to a new suite of airborne geophysical observations in PEL, including RES and gravity data collected during the Chinese National Antarctic Research Expedition, we detected a large subglacial lake of ~45 km in length, ~11 km in width, and ~250 m in depth. These findings will help us understand ice sheet stability in the PEL region.
T. Chang, J. Han, Z. Li, Y. Wen, T. Hao, P. Lu, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 437–442, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-437-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-437-2021, 2021
H. Cui, R. Li, H. Li, T. Hao, G. Qiao, Y. He, G. Hai, H. Xie, Y. Cheng, and B. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 443–448, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-443-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-443-2021, 2021
S. Luo, Y. Cheng, Z. Li, Y. Wang, K. Wang, X. Wang, G. Qiao, W. Ye, Y. Li, M. Xia, X. Yuan, Y. Tian, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 491–496, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, 2021
D. Wang, T. Feng, T. Hao, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 521–526, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, 2021
Y. Cheng, X. Li, G. Qiao, W. Ye, Y. Huang, Y. Li, K. Wang, Y. Tian, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1735–1739, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019, 2019
R. Li, D. Lv, H. Xiao, S. Liu, Y. Cheng, G. Hai, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1759–1763, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019, 2019
R. Li, H. Xie, Y. Tian, W. Du, J. Chen, G. Hai, S. Zhang, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1765–1769, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019, 2019
X. Li, R. Li, G. Qiao, Y. Cheng, W. Ye, T. Gao, Y. Huang, Y. Tian, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2625–2628, https://doi.org/10.5194/isprs-archives-XLII-3-2625-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2625-2018, 2018
Y. Tian, S. Zhang, W. Du, J. Chen, H. Xie, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1657–1660, https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018, 2018
G. Hai, H. Xie, J. Chen, L. Chen, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1517–1520, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017, 2017
M. Xia, G. Tang, Y. Tian, W. Ye, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1569–1573, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017, 2017
H. Xiao, S. Liu, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1575–1577, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017, 2017
Rongxing Li, Haifeng Xiao, Shijie Liu, and Xiaohua Tong
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-178, https://doi.org/10.5194/tc-2017-178, 2017
Revised manuscript not accepted
Short summary
Short summary
Fracturing in the RFIS was slightly increased, particularly at its front, from 2003 to 2015. They do not seem to suggest an immediate significant impact on the stability of the shelf. However, with the rapid changes and 3D measurements of Rifts 1 and 2, the most active activities occurred at the front of the FIS from 2001 to 2016. A potential upcoming major calving event in FIS is estimated to occur in 2051. The stability of the ice shelf, particularly Rifts 1 and 2, should be closely monitored.
R. Li, W. Ye, F. Kong, G. Qiao, X. Tong, X. Ma, S. Guo, and Z. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 521–524, https://doi.org/10.5194/isprs-archives-XLI-B8-521-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-521-2016, 2016
Huan Xie, Gang Hai, Lei Chen, Shijie Liu, Jun Liu, Xiaohua Tong, and Rongxing Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 549–553, https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016, 2016
Y. Cheng, J. Xue, H. Yu, and G. Hai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 99–105, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-99-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-99-2024, 2024
S. Xu, R. Huang, Y. Xu, Z. Ye, H. Xie, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 771–776, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-771-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-771-2023, 2023
Q. Xu, H. Xie, Y. Sun, X. Liu, Y. Guo, P. Huang, B. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 309–314, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-309-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-309-2022, 2022
S. Ge, Y. Cheng, R. Li, H. Cui, Z. Yu, T. Chang, S. Luo, Z. Li, G. Li, A. Zhao, X. Yuan, Y. Li, M. Xia, X. Wang, and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 757–763, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-757-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-757-2022, 2022
K. Lin, G. Qiao, L. Zhang, and S. Popov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 765–770, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-765-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-765-2022, 2022
L. Wang, G. Qiao, I. V. Florinsky, and S. Popov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 785–791, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-785-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-785-2022, 2022
Z. Yu, Z. Cao, C. Yu, G. Qiao, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 799–804, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-799-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-799-2022, 2022
A. Zhao, Y. Cheng, D. Lv, M. Xia, R. Li, L. An, S. Liu, and Y. Tian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 805–811, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-805-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-805-2022, 2022
Rongxing Li, Yuan Cheng, Haotian Cui, Menglian Xia, Xiaohan Yuan, Zhen Li, Shulei Luo, and Gang Qiao
The Cryosphere, 16, 737–760, https://doi.org/10.5194/tc-16-737-2022, https://doi.org/10.5194/tc-16-737-2022, 2022
Short summary
Short summary
Historical velocity maps of the Antarctic ice sheet are valuable for long-term ice flow dynamics analysis. We developed an innovative method for correcting overestimations existing in historical velocity maps. The method is validated rigorously using high-quality Landsat 8 images and then successfully applied to historical velocity maps. The historical change signatures are preserved and can be used for assessing the impact of long-term global climate changes on the ice sheet.
Lin Li, Aiguo Zhao, Tiantian Feng, Xiangbin Cui, Lu An, Ben Xu, Shinan Lang, Liwen Jing, Tong Hao, Jingxue Guo, Bo Sun, and Rongxing Li
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-332, https://doi.org/10.5194/tc-2021-332, 2021
Preprint withdrawn
Short summary
Short summary
No subglacial lakes have been reported in Princess Elizabeth Land (PEL), East Antarctica. In this study, thanks to a new suite of airborne geophysical observations in PEL, including RES and gravity data collected during the Chinese National Antarctic Research Expedition, we detected a large subglacial lake of ~45 km in length, ~11 km in width, and ~250 m in depth. These findings will help us understand ice sheet stability in the PEL region.
T. Chang, J. Han, Z. Li, Y. Wen, T. Hao, P. Lu, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 437–442, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-437-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-437-2021, 2021
H. Cui, R. Li, H. Li, T. Hao, G. Qiao, Y. He, G. Hai, H. Xie, Y. Cheng, and B. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 443–448, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-443-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-443-2021, 2021
Y. He, G. Qiao, H. Li, X. Yuan, and Y. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 463–468, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-463-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-463-2021, 2021
Y. Li, G. Qiao, and X. Yuan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 485–490, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-485-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-485-2021, 2021
S. Luo, Y. Cheng, Z. Li, Y. Wang, K. Wang, X. Wang, G. Qiao, W. Ye, Y. Li, M. Xia, X. Yuan, Y. Tian, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 491–496, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, 2021
Z. Sun and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 503–508, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-503-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-503-2021, 2021
D. Wang, T. Feng, T. Hao, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 521–526, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, 2021
H. Zhao, R. Xu, and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 527–532, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-527-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-527-2021, 2021
Y. Gong, H. Xie, X. Tong, Y. Jin, X. Xv, and Q. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 103–108, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-103-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-103-2020, 2020
X. Yuan, G. Qiao, Y. Li, H. Li, and R. Xu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 919–923, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-919-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-919-2020, 2020
H. Zhang, S. Liu, Z. Ye, X. Tong, H. Xie, S. Zheng, and Q. Du
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 149–155, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-149-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-149-2020, 2020
Y. Wang, X. Tong, H. Xie, M. Jiang, Y. Huang, S. Liu, X. Xu, Q. Du, Q. Wang, and C. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 603–608, https://doi.org/10.5194/isprs-annals-V-3-2020-603-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-603-2020, 2020
Y. Cheng, X. Li, G. Qiao, W. Ye, Y. Huang, Y. Li, K. Wang, Y. Tian, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1735–1739, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019, 2019
R. Li, D. Lv, H. Xiao, S. Liu, Y. Cheng, G. Hai, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1759–1763, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019, 2019
R. Li, H. Xie, Y. Tian, W. Du, J. Chen, G. Hai, S. Zhang, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1765–1769, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019, 2019
R. G. Xu, G. Qiao, Y. J. Wu, and Y. J. Cao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1797–1801, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1797-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1797-2019, 2019
L. Liu, B. Li, S. Zlatanova, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
X. Li, R. Li, G. Qiao, Y. Cheng, W. Ye, T. Gao, Y. Huang, Y. Tian, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2625–2628, https://doi.org/10.5194/isprs-archives-XLII-3-2625-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2625-2018, 2018
Y. Tian, S. Zhang, W. Du, J. Chen, H. Xie, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1657–1660, https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018, 2018
Y. J. Cao and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1503–1507, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1503-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1503-2017, 2017
L. M. Chen, G. Qiao, and P. Lu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1509–1512, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1509-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1509-2017, 2017
W. Du, L. Chen, H. Xie, G. Hai, S. Zhang, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1513–1516, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1513-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1513-2017, 2017
G. Hai, H. Xie, J. Chen, L. Chen, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1517–1520, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017, 2017
H. W. Li, G. Qiao, Y. J. Wu, Y. J. Cao, and H. Mi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1529–1533, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1529-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1529-2017, 2017
R. Li, X. Ma, Y. Cheng, W. Ye, S. Guo, G. Tang, Z. Wang, T. Gao, Y. Huang, X. Li, G. Qiao, Y. Tian, T. Feng, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1535–1539, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1535-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1535-2017, 2017
Y. J. Li and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1541–1546, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1541-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1541-2017, 2017
Y. J. Wu, G. Qiao, and H. W. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1555–1560, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1555-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1555-2017, 2017
M. Xia, G. Tang, Y. Tian, W. Ye, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1569–1573, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017, 2017
H. Xiao, S. Liu, R. Li, and X. Tong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1575–1577, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017, 2017
Rongxing Li, Haifeng Xiao, Shijie Liu, and Xiaohua Tong
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-178, https://doi.org/10.5194/tc-2017-178, 2017
Revised manuscript not accepted
Short summary
Short summary
Fracturing in the RFIS was slightly increased, particularly at its front, from 2003 to 2015. They do not seem to suggest an immediate significant impact on the stability of the shelf. However, with the rapid changes and 3D measurements of Rifts 1 and 2, the most active activities occurred at the front of the FIS from 2001 to 2016. A potential upcoming major calving event in FIS is estimated to occur in 2051. The stability of the ice shelf, particularly Rifts 1 and 2, should be closely monitored.
R. Li, W. Ye, F. Kong, G. Qiao, X. Tong, X. Ma, S. Guo, and Z. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 521–524, https://doi.org/10.5194/isprs-archives-XLI-B8-521-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-521-2016, 2016
Huan Xie, Gang Hai, Lei Chen, Shijie Liu, Jun Liu, Xiaohua Tong, and Rongxing Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 549–553, https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016, 2016
Related subject area
Discipline: Ice sheets | Subject: Antarctic
The staggered retreat of grounded ice in the Ross Sea, Antarctica, since the Last Glacial Maximum (LGM)
The effect of landfast sea ice buttressing on ice dynamic speedup in the Larsen B embayment, Antarctica
Meteoric water and glacial melt in the southeastern Amundsen Sea: a time series from 1994 to 2020
Evaporative controls on Antarctic precipitation: an ECHAM6 model study using innovative water tracer diagnostics
Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model
Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
Evaluation of four calving laws for Antarctic ice shelves
Englacial architecture of Lambert Glacier, East Antarctica
Mass changes of the northern Antarctic Peninsula Ice Sheet derived from repeat bi-static synthetic aperture radar acquisitions for the period 2013–2017
The evolution of future Antarctic surface melt using PISM-dEBM-simple
Characteristics and rarity of the strong 1940s westerly wind event over the Amundsen Sea, West Antarctica
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula
Stratigraphic noise and its potential drivers across the plateau of Dronning Maud Land, East Antarctica
Modes of Antarctic tidal grounding line migration revealed by Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) laser altimetry
Evaluating the impact of enhanced horizontal resolution over the Antarctic domain using a variable-resolution Earth system model
Alpine topography of the Gamburtsev Subglacial Mountains, Antarctica, mapped from ice sheet surface morphology
Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022
Widespread slowdown in thinning rates of West Antarctic ice shelves
Geometric amplification and suppression of ice-shelf basal melt in West Antarctica
Seasonal variability in Antarctic ice shelf velocities forced by sea surface height variations
Impact of boundary conditions on the modelled thermal regime of the Antarctic ice sheet
Revisiting temperature sensitivity: how does Antarctic precipitation change with temperature?
Cosmogenic-nuclide data from Antarctic nunataks can constrain past ice sheet instabilities
Exploring ice sheet model sensitivity to ocean thermal forcing and basal sliding using the Community Ice Sheet Model (CISM)
High mid-Holocene accumulation rates over West Antarctica inferred from a pervasive ice-penetrating radar reflector
Seasonal and interannual variability of the landfast ice mass balance between 2009 and 2018 in Prydz Bay, East Antarctica
Megadunes in Antarctica: migration and characterization from remote and in situ observations
Slowdown of Shirase Glacier, East Antarctica, caused by strengthening alongshore winds
Timescales of outlet-glacier flow with negligible basal friction: theory, observations and modeling
Antarctic contribution to future sea level from ice shelf basal melt as constrained by ice discharge observations
Anthropogenic and internal drivers of wind changes over the Amundsen Sea, West Antarctica, during the 20th and 21st centuries
New 10Be exposure ages improve Holocene ice sheet thinning history near the grounding line of Pope Glacier, Antarctica
Antarctic surface climate and surface mass balance in the Community Earth System Model version 2 during the satellite era and into the future (1979–2100)
Inverting ice surface elevation and velocity for bed topography and slipperiness beneath Thwaites Glacier
Hysteretic evolution of ice rises and ice rumples in response to variations in sea level
Variability in Antarctic surface climatology across regional climate models and reanalysis datasets
Sensitivity of the Ross Ice Shelf to environmental and glaciological controls
High-resolution subglacial topography around Dome Fuji, Antarctica, based on ground-based radar surveys over 30 years
Cosmogenic nuclide dating of two stacked ice masses: Ong Valley, Antarctica
Clouds drive differences in future surface melt over the Antarctic ice shelves
Rapid fragmentation of Thwaites Eastern Ice Shelf
Resolving glacial isostatic adjustment (GIA) in response to modern and future ice loss at marine grounding lines in West Antarctica
Review article: Existing and potential evidence for Holocene grounding line retreat and readvance in Antarctica
Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion
Net effect of ice-sheet–atmosphere interactions reduces simulated transient Miocene Antarctic ice-sheet variability
Sensitivity of Antarctic surface climate to a new spectral snow albedo and radiative transfer scheme in RACMO2.3p3
Overestimation and adjustment of Antarctic ice flow velocity fields reconstructed from historical satellite imagery
Brief communication: Impact of common ice mask in surface mass balance estimates over the Antarctic ice sheet
Automated mapping of the seasonal evolution of surface meltwater and its links to climate on the Amery Ice Shelf, Antarctica
Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf
Matthew A. Danielson and Philip J. Bart
The Cryosphere, 18, 1125–1138, https://doi.org/10.5194/tc-18-1125-2024, https://doi.org/10.5194/tc-18-1125-2024, 2024
Short summary
Short summary
The post-Last Glacial Maximum (LGM) retreat of the West Antarctic Ice Sheet in the Ross Sea was more significant than for any other Antarctic sector. Here we combined the available dates of retreat with new mapping of sediment deposited by the ice sheet during overall retreat. Our work shows that the post-LGM retreat through the Ross Sea was not uniform. This uneven retreat can cause instability in the present-day Antarctic ice sheet configuration and lead to future runaway retreat.
Trystan Surawy-Stepney, Anna E. Hogg, Stephen L. Cornford, Benjamin J. Wallis, Benjamin J. Davison, Heather L. Selley, Ross A. W. Slater, Elise K. Lie, Livia Jakob, Andrew Ridout, Noel Gourmelen, Bryony I. D. Freer, Sally F. Wilson, and Andrew Shepherd
The Cryosphere, 18, 977–993, https://doi.org/10.5194/tc-18-977-2024, https://doi.org/10.5194/tc-18-977-2024, 2024
Short summary
Short summary
Here, we use satellite observations and an ice flow model to quantify the impact of sea ice buttressing on ice streams on the Antarctic Peninsula. The evacuation of 11-year-old landfast sea ice in the Larsen B embayment on the East Antarctic Peninsula in January 2022 was closely followed by major changes in the calving behaviour and acceleration (30 %) of the ocean-terminating glaciers. Our results show that sea ice buttressing had a negligible direct role in the observed dynamic changes.
Andrew N. Hennig, David A. Mucciarone, Stanley S. Jacobs, Richard A. Mortlock, and Robert B. Dunbar
The Cryosphere, 18, 791–818, https://doi.org/10.5194/tc-18-791-2024, https://doi.org/10.5194/tc-18-791-2024, 2024
Short summary
Short summary
A total of 937 seawater paired oxygen isotope (δ18O)–salinity samples collected during seven cruises on the SE Amundsen Sea between 1994 and 2020 reveal a deep freshwater source with δ18O − 29.4±1.0‰, consistent with the signature of local ice shelf melt. Local mean meteoric water content – comprised primarily of glacial meltwater – increased between 1994 and 2020 but exhibited greater interannual variability than increasing trend.
Qinggang Gao, Louise C. Sime, Alison J. McLaren, Thomas J. Bracegirdle, Emilie Capron, Rachael H. Rhodes, Hans Christian Steen-Larsen, Xiaoxu Shi, and Martin Werner
The Cryosphere, 18, 683–703, https://doi.org/10.5194/tc-18-683-2024, https://doi.org/10.5194/tc-18-683-2024, 2024
Short summary
Short summary
Antarctic precipitation is a crucial component of the climate system. Its spatio-temporal variability impacts sea level changes and the interpretation of water isotope measurements in ice cores. To better understand its climatic drivers, we developed water tracers in an atmospheric model to identify moisture source conditions from which precipitation originates. We find that mid-latitude surface winds exert an important control on moisture availability for Antarctic precipitation.
Violaine Coulon, Ann Kristin Klose, Christoph Kittel, Tamsin Edwards, Fiona Turner, Ricarda Winkelmann, and Frank Pattyn
The Cryosphere, 18, 653–681, https://doi.org/10.5194/tc-18-653-2024, https://doi.org/10.5194/tc-18-653-2024, 2024
Short summary
Short summary
We present new projections of the evolution of the Antarctic ice sheet until the end of the millennium, calibrated with observations. We show that the ocean will be the main trigger of future ice loss. As temperatures continue to rise, the atmosphere's role may shift from mitigating to amplifying Antarctic mass loss already by the end of the century. For high-emission scenarios, this may lead to substantial sea-level rise. Adopting sustainable practices would however reduce the rate of ice loss.
Hélène Seroussi, Vincent Verjans, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Peter Van Katwyk, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, https://doi.org/10.5194/tc-17-5197-2023, 2023
Short summary
Short summary
Mass loss from Antarctica is a key contributor to sea level rise over the 21st century, and the associated uncertainty dominates sea level projections. We highlight here the Antarctic glaciers showing the largest changes and quantify the main sources of uncertainty in their future evolution using an ensemble of ice flow models. We show that on top of Pine Island and Thwaites glaciers, Totten and Moscow University glaciers show rapid changes and a strong sensitivity to warmer ocean conditions.
Joel A. Wilner, Mathieu Morlighem, and Gong Cheng
The Cryosphere, 17, 4889–4901, https://doi.org/10.5194/tc-17-4889-2023, https://doi.org/10.5194/tc-17-4889-2023, 2023
Short summary
Short summary
We use numerical modeling to study iceberg calving off of ice shelves in Antarctica. We examine four widely used mathematical descriptions of calving (
calving laws), under the assumption that Antarctic ice shelf front positions should be in steady state under the current climate forcing. We quantify how well each of these calving laws replicates the observed front positions. Our results suggest that the eigencalving and von Mises laws are most suitable for Antarctic ice shelves.
Rebecca J. Sanderson, Kate Winter, S. Louise Callard, Felipe Napoleoni, Neil Ross, Tom A. Jordan, and Robert G. Bingham
The Cryosphere, 17, 4853–4871, https://doi.org/10.5194/tc-17-4853-2023, https://doi.org/10.5194/tc-17-4853-2023, 2023
Short summary
Short summary
Ice-penetrating radar allows us to explore the internal structure of glaciers and ice sheets to constrain past and present ice-flow conditions. In this paper, we examine englacial layers within the Lambert Glacier in East Antarctica using a quantitative layer tracing tool. Analysis reveals that the ice flow here has been relatively stable, but evidence for former fast flow along a tributary suggests that changes have occurred in the past and could change again in the future.
Thorsten Seehaus, Christian Sommer, Thomas Dethinne, and Philipp Malz
The Cryosphere, 17, 4629–4644, https://doi.org/10.5194/tc-17-4629-2023, https://doi.org/10.5194/tc-17-4629-2023, 2023
Short summary
Short summary
Existing mass budget estimates for the northern Antarctic Peninsula (>70° S) are affected by considerable limitations. We carried out the first region-wide analysis of geodetic mass balances throughout this region (coverage of 96.4 %) for the period 2013–2017 based on repeat pass bi-static TanDEM-X acquisitions. A total mass budget of −24.1±2.8 Gt/a is revealed. Imbalanced high ice discharge, particularly at former ice shelf tributaries, is the main driver of overall ice loss.
Julius Garbe, Maria Zeitz, Uta Krebs-Kanzow, and Ricarda Winkelmann
The Cryosphere, 17, 4571–4599, https://doi.org/10.5194/tc-17-4571-2023, https://doi.org/10.5194/tc-17-4571-2023, 2023
Short summary
Short summary
We adopt the novel surface module dEBM-simple in the Parallel Ice Sheet Model (PISM) to investigate the impact of atmospheric warming on Antarctic surface melt and long-term ice sheet dynamics. As an enhancement compared to traditional temperature-based melt schemes, the module accounts for changes in ice surface albedo and thus the melt–albedo feedback. Our results underscore the critical role of ice–atmosphere feedbacks in the future sea-level contribution of Antarctica on long timescales.
Gemma K. O'Connor, Paul R. Holland, Eric J. Steig, Pierre Dutrieux, and Gregory J. Hakim
The Cryosphere, 17, 4399–4420, https://doi.org/10.5194/tc-17-4399-2023, https://doi.org/10.5194/tc-17-4399-2023, 2023
Short summary
Short summary
Glaciers in West Antarctica are rapidly melting, but the causes are unknown due to limited observations. A leading hypothesis is that an unusually large wind event in the 1940s initiated the ocean-driven melting. Using proxy reconstructions (e.g., using ice cores) and climate model simulations, we find that wind events similar to the 1940s event are relatively common on millennial timescales, implying that ocean variability or climate trends are also necessary to explain the start of ice loss.
Thomas Dethinne, Quentin Glaude, Ghislain Picard, Christoph Kittel, Patrick Alexander, Anne Orban, and Xavier Fettweis
The Cryosphere, 17, 4267–4288, https://doi.org/10.5194/tc-17-4267-2023, https://doi.org/10.5194/tc-17-4267-2023, 2023
Short summary
Short summary
We investigate the sensitivity of the regional climate model
Modèle Atmosphérique Régional(MAR) to the assimilation of wet-snow occurrence estimated by remote sensing datasets. The assimilation is performed by nudging the MAR snowpack temperature. The data assimilation is performed over the Antarctic Peninsula for the 2019–2021 period. The results show an increase in the melt production (+66.7 %) and a decrease in surface mass balance (−4.5 %) of the model for the 2019–2020 melt season.
Nora Hirsch, Alexandra Zuhr, Thomas Münch, Maria Hörhold, Johannes Freitag, Remi Dallmayr, and Thomas Laepple
The Cryosphere, 17, 4207–4221, https://doi.org/10.5194/tc-17-4207-2023, https://doi.org/10.5194/tc-17-4207-2023, 2023
Short summary
Short summary
Stable water isotopes from firn cores provide valuable information on past climates, yet their utility is hampered by stratigraphic noise, i.e. the irregular deposition and wind-driven redistribution of snow. We found stratigraphic noise on the Antarctic Plateau to be related to the local accumulation rate, snow surface roughness and slope inclination, which can guide future decisions on sampling locations and thus increase the resolution of climate reconstructions from low-accumulation areas.
Bryony I. D. Freer, Oliver J. Marsh, Anna E. Hogg, Helen Amanda Fricker, and Laurie Padman
The Cryosphere, 17, 4079–4101, https://doi.org/10.5194/tc-17-4079-2023, https://doi.org/10.5194/tc-17-4079-2023, 2023
Short summary
Short summary
We develop a method using ICESat-2 data to measure how Antarctic grounding lines (GLs) migrate across the tide cycle. At an ice plain on the Ronne Ice Shelf we observe 15 km of tidal GL migration, the largest reported distance in Antarctica, dominating any signal of long-term migration. We identify four distinct migration modes, which provide both observational support for models of tidal ice flexure and GL migration and insights into ice shelf–ocean–subglacial interactions in grounding zones.
Rajashree Tri Datta, Adam Herrington, Jan T. M. Lenaerts, David P. Schneider, Luke Trusel, Ziqi Yin, and Devon Dunmire
The Cryosphere, 17, 3847–3866, https://doi.org/10.5194/tc-17-3847-2023, https://doi.org/10.5194/tc-17-3847-2023, 2023
Short summary
Short summary
Precipitation over Antarctica is one of the greatest sources of uncertainty in sea level rise estimates. Earth system models (ESMs) are a valuable tool for these estimates but typically run at coarse spatial resolutions. Here, we present an evaluation of the variable-resolution CESM2 (VR-CESM2) for the first time with a grid designed for enhanced spatial resolution over Antarctica to achieve the high resolution of regional climate models while preserving the two-way interactions of ESMs.
Edmund J. Lea, Stewart S. R. Jamieson, and Michael J. Bentley
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-94, https://doi.org/10.5194/tc-2023-94, 2023
Revised manuscript accepted for TC
Short summary
Short summary
We use the ice surface expression of the Gamburtsev Subglacial Mountains in East Antarctica to map the horizontal pattern of valleys and ridges in finer detail than possible from previous methods. In upland areas, valleys are spaced much less than 5 km apart, with consequences for the distribution of melting at the bed, and hence the likelihood of ancient ice being preserved. Automated mapping techniques were tested alongside manual approaches, with a hybrid approach recommended for future work.
Yaowen Zheng, Nicholas R. Golledge, Alexandra Gossart, Ghislain Picard, and Marion Leduc-Leballeur
The Cryosphere, 17, 3667–3694, https://doi.org/10.5194/tc-17-3667-2023, https://doi.org/10.5194/tc-17-3667-2023, 2023
Short summary
Short summary
Positive degree-day (PDD) schemes are widely used in many Antarctic numerical ice sheet models. However, the PDD approach has not been systematically explored for its application in Antarctica. We have constructed a novel grid-cell-level spatially distributed PDD (dist-PDD) model and assessed its accuracy. We suggest that an appropriately parameterized dist-PDD model can be a valuable tool for exploring Antarctic surface melt beyond the satellite era.
Fernando S. Paolo, Alex S. Gardner, Chad A. Greene, Johan Nilsson, Michael P. Schodlok, Nicole-Jeanne Schlegel, and Helen A. Fricker
The Cryosphere, 17, 3409–3433, https://doi.org/10.5194/tc-17-3409-2023, https://doi.org/10.5194/tc-17-3409-2023, 2023
Short summary
Short summary
We report on a slowdown in the rate of thinning and melting of West Antarctic ice shelves. We present a comprehensive assessment of the Antarctic ice shelves, where we analyze at a continental scale the changes in thickness, flow, and basal melt over the past 26 years. We also present a novel method to estimate ice shelf change from satellite altimetry and a time-dependent data set of ice shelf thickness and basal melt rates at an unprecedented resolution.
Jan De Rydt and Kaitlin Naughten
EGUsphere, https://doi.org/10.5194/egusphere-2023-1587, https://doi.org/10.5194/egusphere-2023-1587, 2023
Short summary
Short summary
The West Antarctic Ice Sheet is losing ice at an accelerating pace. This is largely due to the presence of warm ocean water around the periphery of the Antarctic continent, which melts the ice. It is generally assumed that the strength of this process is controlled by the temperature of the ocean. However, in this study we show that the an equally important role is played by the changing geometry of the ice, which affects the strength of the ocean currents and thereby the melt rates.
Cyrille Mosbeux, Laurie Padman, Emilie Klein, Peter D. Bromirski, and Helen A. Fricker
The Cryosphere, 17, 2585–2606, https://doi.org/10.5194/tc-17-2585-2023, https://doi.org/10.5194/tc-17-2585-2023, 2023
Short summary
Short summary
Antarctica's ice shelves (the floating extension of the ice sheet) help regulate ice flow. As ice shelves thin or lose contact with the bedrock, the upstream ice tends to accelerate, resulting in increased mass loss. Here, we use an ice sheet model to simulate the effect of seasonal sea surface height variations and see if we can reproduce observed seasonal variability of ice velocity on the ice shelf. When correctly parameterised, the model fits the observations well.
In-Woo Park, Emilia Kyung Jin, Mathieu Morlighem, and Kang-Kun Lee
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-81, https://doi.org/10.5194/tc-2023-81, 2023
Revised manuscript accepted for TC
Short summary
Short summary
This study conducted 3D thermo-dynamic ice sheet model experiments, and modeled temperatures were compared with 15 observed borehole temperature profiles. We found that using an incompressibility of ice without sliding provides a good agreement with observed temperature profiles in slow flow regions, while incorporating sliding in fast flow regions captures observed temperature profiles. Also, a choice of vertical velocity scheme has a greater impact on shape of modeled temperature profile.
Lena Nicola, Dirk Notz, and Ricarda Winkelmann
The Cryosphere, 17, 2563–2583, https://doi.org/10.5194/tc-17-2563-2023, https://doi.org/10.5194/tc-17-2563-2023, 2023
Short summary
Short summary
For future sea-level projections, approximating Antarctic precipitation increases through temperature-scaling approaches will remain important, as coupled ice-sheet simulations with regional climate models remain computationally expensive, especially on multi-centennial timescales. We here revisit the relationship between Antarctic temperature and precipitation using different scaling approaches, identifying and explaining regional differences.
Anna Ruth W. Halberstadt, Greg Balco, Hannah Buchband, and Perry Spector
The Cryosphere, 17, 1623–1643, https://doi.org/10.5194/tc-17-1623-2023, https://doi.org/10.5194/tc-17-1623-2023, 2023
Short summary
Short summary
This paper explores the use of multimillion-year exposure ages from Antarctic bedrock outcrops to benchmark ice sheet model predictions and thereby infer ice sheet sensitivity to warm climates. We describe a new approach for model–data comparison, highlight an example where observational data are used to distinguish end-member models, and provide guidance for targeted sampling around Antarctica that can improve understanding of ice sheet response to climate warming in the past and future.
Mira Berdahl, Gunter Leguy, William H. Lipscomb, Nathan M. Urban, and Matthew J. Hoffman
The Cryosphere, 17, 1513–1543, https://doi.org/10.5194/tc-17-1513-2023, https://doi.org/10.5194/tc-17-1513-2023, 2023
Short summary
Short summary
Contributions to future sea level from the Antarctic Ice Sheet remain poorly constrained. One reason is that ice sheet model initialization methods can have significant impacts on how the ice sheet responds to future forcings. We investigate the impacts of two key parameters used during model initialization. We find that these parameter choices alone can impact multi-century sea level rise by up to 2 m, emphasizing the need to carefully consider these choices for sea level rise predictions.
Julien A. Bodart, Robert G. Bingham, Duncan A. Young, Joseph A. MacGregor, David W. Ashmore, Enrica Quartini, Andrew S. Hein, David G. Vaughan, and Donald D. Blankenship
The Cryosphere, 17, 1497–1512, https://doi.org/10.5194/tc-17-1497-2023, https://doi.org/10.5194/tc-17-1497-2023, 2023
Short summary
Short summary
Estimating how West Antarctica will change in response to future climatic change depends on our understanding of past ice processes. Here, we use a reflector widely visible on airborne radar data across West Antarctica to estimate accumulation rates over the past 4700 years. By comparing our estimates with current atmospheric data, we find that accumulation rates were 18 % greater than modern rates. This has implications for our understanding of past ice processes in the region.
Na Li, Ruibo Lei, Petra Heil, Bin Cheng, Minghu Ding, Zhongxiang Tian, and Bingrui Li
The Cryosphere, 17, 917–937, https://doi.org/10.5194/tc-17-917-2023, https://doi.org/10.5194/tc-17-917-2023, 2023
Short summary
Short summary
The observed annual maximum landfast ice (LFI) thickness off Zhongshan (Davis) was 1.59±0.17 m (1.64±0.08 m). Larger interannual and local spatial variabilities for the seasonality of LFI were identified at Zhongshan, with the dominant influencing factors of air temperature anomaly, snow atop, local topography and wind regime, and oceanic heat flux. The variability of LFI properties across the study domain prevailed at interannual timescales, over any trend during the recent decades.
Giacomo Traversa, Davide Fugazza, and Massimo Frezzotti
The Cryosphere, 17, 427–444, https://doi.org/10.5194/tc-17-427-2023, https://doi.org/10.5194/tc-17-427-2023, 2023
Short summary
Short summary
Megadunes are fields of huge snow dunes present in Antarctica and on other planets, important as they present mass loss on the leeward side (glazed snow), on a continent characterized by mass gain. Here, we studied megadunes using remote data and measurements acquired during past field expeditions. We quantified their physical properties and migration and demonstrated that they migrate against slope and wind. We further proposed automatic detections of the glazed snow on their leeward side.
Bertie W. J. Miles, Chris R. Stokes, Adrian Jenkins, Jim R. Jordan, Stewart S. R. Jamieson, and G. Hilmar Gudmundsson
The Cryosphere, 17, 445–456, https://doi.org/10.5194/tc-17-445-2023, https://doi.org/10.5194/tc-17-445-2023, 2023
Short summary
Short summary
Satellite observations have shown that the Shirase Glacier catchment in East Antarctica has been gaining mass over the past 2 decades, a trend largely attributed to increased snowfall. Our multi-decadal observations of Shirase Glacier show that ocean forcing has also contributed to some of this recent mass gain. This has been caused by strengthening easterly winds reducing the inflow of warm water underneath the Shirase ice tongue, causing the glacier to slow down and thicken.
Johannes Feldmann and Anders Levermann
The Cryosphere, 17, 327–348, https://doi.org/10.5194/tc-17-327-2023, https://doi.org/10.5194/tc-17-327-2023, 2023
Short summary
Short summary
Here we present a scaling relation that allows the comparison of the timescales of glaciers with geometric similarity. According to the relation, thicker and wider glaciers on a steeper bed slope have a much faster timescale than shallower, narrower glaciers on a flatter bed slope. The relation is supported by observations and simplified numerical simulations. We combine the scaling relation with a statistical analysis of the topography of 13 instability-prone Antarctic outlet glaciers.
Eveline C. van der Linden, Dewi Le Bars, Erwin Lambert, and Sybren Drijfhout
The Cryosphere, 17, 79–103, https://doi.org/10.5194/tc-17-79-2023, https://doi.org/10.5194/tc-17-79-2023, 2023
Short summary
Short summary
The Antarctic ice sheet (AIS) is the largest uncertainty in future sea level estimates. The AIS mainly loses mass through ice discharge, the transfer of land ice into the ocean. Ice discharge is triggered by warming ocean water (basal melt). New future estimates of AIS sea level contributions are presented in which basal melt is constrained with ice discharge observations. Despite the different methodology, the resulting projections are in line with previous multimodel assessments.
Paul R. Holland, Gemma K. O'Connor, Thomas J. Bracegirdle, Pierre Dutrieux, Kaitlin A. Naughten, Eric J. Steig, David P. Schneider, Adrian Jenkins, and James A. Smith
The Cryosphere, 16, 5085–5105, https://doi.org/10.5194/tc-16-5085-2022, https://doi.org/10.5194/tc-16-5085-2022, 2022
Short summary
Short summary
The Antarctic Ice Sheet is losing ice, causing sea-level rise. However, it is not known whether human-induced climate change has contributed to this ice loss. In this study, we use evidence from climate models and palaeoclimate measurements (e.g. ice cores) to suggest that the ice loss was triggered by natural climate variations but is now sustained by human-forced climate change. This implies that future greenhouse-gas emissions may influence sea-level rise from Antarctica.
Jonathan R. Adams, Joanne S. Johnson, Stephen J. Roberts, Philippa J. Mason, Keir A. Nichols, Ryan A. Venturelli, Klaus Wilcken, Greg Balco, Brent Goehring, Brenda Hall, John Woodward, and Dylan H. Rood
The Cryosphere, 16, 4887–4905, https://doi.org/10.5194/tc-16-4887-2022, https://doi.org/10.5194/tc-16-4887-2022, 2022
Short summary
Short summary
Glaciers in West Antarctica are experiencing significant ice loss. Geological data provide historical context for ongoing ice loss in West Antarctica, including constraints on likely future ice sheet behaviour in response to climatic warming. We present evidence from rare isotopes measured in rocks collected from an outcrop next to Pope Glacier. These data suggest that Pope Glacier thinned faster and sooner after the last ice age than previously thought.
Devon Dunmire, Jan T. M. Lenaerts, Rajashree Tri Datta, and Tessa Gorte
The Cryosphere, 16, 4163–4184, https://doi.org/10.5194/tc-16-4163-2022, https://doi.org/10.5194/tc-16-4163-2022, 2022
Short summary
Short summary
Earth system models (ESMs) are used to model the climate system and the interactions of its components (atmosphere, ocean, etc.) both historically and into the future under different assumptions of human activity. The representation of Antarctica in ESMs is important because it can inform projections of the ice sheet's contribution to sea level rise. Here, we compare output of Antarctica's surface climate from an ESM with observations to understand strengths and weaknesses within the model.
Helen Ockenden, Robert G. Bingham, Andrew Curtis, and Daniel Goldberg
The Cryosphere, 16, 3867–3887, https://doi.org/10.5194/tc-16-3867-2022, https://doi.org/10.5194/tc-16-3867-2022, 2022
Short summary
Short summary
Hills and valleys hidden under the ice of Thwaites Glacier have an impact on ice flow and future ice loss, but there are not many three-dimensional observations of their location or size. We apply a mathematical theory to new high-resolution observations of the ice surface to predict the bed topography beneath the ice. There is a good correlation with ice-penetrating radar observations. The method may be useful in areas with few direct observations or as a further constraint for other methods.
A. Clara J. Henry, Reinhard Drews, Clemens Schannwell, and Vjeran Višnjević
The Cryosphere, 16, 3889–3905, https://doi.org/10.5194/tc-16-3889-2022, https://doi.org/10.5194/tc-16-3889-2022, 2022
Short summary
Short summary
We used a 3D, idealised model to study features in coastal Antarctica called ice rises and ice rumples. These features regulate the rate of ice flow into the ocean. We show that when sea level is raised or lowered, the size of these features and the ice flow pattern can change. We find that the features depend on the ice history and do not necessarily fully recover after an equal increase and decrease in sea level. This shows that it is important to initialise models with accurate ice geometry.
Jeremy Carter, Amber Leeson, Andrew Orr, Christoph Kittel, and J. Melchior van Wessem
The Cryosphere, 16, 3815–3841, https://doi.org/10.5194/tc-16-3815-2022, https://doi.org/10.5194/tc-16-3815-2022, 2022
Short summary
Short summary
Climate models provide valuable information for studying processes such as the collapse of ice shelves over Antarctica which impact estimates of sea level rise. This paper examines variability across climate simulations over Antarctica for fields including snowfall, temperature and melt. Significant systematic differences between outputs are found, occurring at both large and fine spatial scales across Antarctica. Results are important for future impact assessments and model development.
Francesca Baldacchino, Mathieu Morlighem, Nicholas R. Golledge, Huw Horgan, and Alena Malyarenko
The Cryosphere, 16, 3723–3738, https://doi.org/10.5194/tc-16-3723-2022, https://doi.org/10.5194/tc-16-3723-2022, 2022
Short summary
Short summary
Understanding how the Ross Ice Shelf will evolve in a warming world is important to the future stability of Antarctica. It remains unclear what changes could drive the largest mass loss in the future and where places are most likely to trigger larger mass losses. Sensitivity maps are modelled showing that the RIS is sensitive to changes in environmental and glaciological controls at regions which are currently experiencing changes. These regions need to be monitored in a warming world.
Shun Tsutaki, Shuji Fujita, Kenji Kawamura, Ayako Abe-Ouchi, Kotaro Fukui, Hideaki Motoyama, Yu Hoshina, Fumio Nakazawa, Takashi Obase, Hiroshi Ohno, Ikumi Oyabu, Fuyuki Saito, Konosuke Sugiura, and Toshitaka Suzuki
The Cryosphere, 16, 2967–2983, https://doi.org/10.5194/tc-16-2967-2022, https://doi.org/10.5194/tc-16-2967-2022, 2022
Short summary
Short summary
We constructed an ice thickness map across the Dome Fuji region, East Antarctica, from improved radar data and previous data that had been collected since the late 1980s. The data acquired using the improved radar systems allowed basal topography to be identified with higher accuracy. The new ice thickness data show the bedrock topography, particularly the complex terrain of subglacial valleys and highlands south of Dome Fuji, with substantially high detail.
Marie Bergelin, Jaakko Putkonen, Greg Balco, Daniel Morgan, Lee B. Corbett, and Paul R. Bierman
The Cryosphere, 16, 2793–2817, https://doi.org/10.5194/tc-16-2793-2022, https://doi.org/10.5194/tc-16-2793-2022, 2022
Short summary
Short summary
Glacier ice contains information on past climate and can help us understand how the world changes through time. We have found and sampled a buried ice mass in Antarctica that is much older than most ice on Earth and difficult to date. Therefore, we developed a new dating application which showed the ice to be 3 million years old. Our new dating solution will potentially help to date other ancient ice masses since such old glacial ice could yield data on past environmental conditions on Earth.
Christoph Kittel, Charles Amory, Stefan Hofer, Cécile Agosta, Nicolas C. Jourdain, Ella Gilbert, Louis Le Toumelin, Étienne Vignon, Hubert Gallée, and Xavier Fettweis
The Cryosphere, 16, 2655–2669, https://doi.org/10.5194/tc-16-2655-2022, https://doi.org/10.5194/tc-16-2655-2022, 2022
Short summary
Short summary
Model projections suggest large differences in future Antarctic surface melting even for similar greenhouse gas scenarios and warming rates. We show that clouds containing a larger amount of liquid water lead to stronger melt. As surface melt can trigger the collapse of the ice shelves (the safety band of the Antarctic Ice Sheet), clouds could be a major source of uncertainties in projections of sea level rise.
Douglas I. Benn, Adrian Luckman, Jan A. Åström, Anna J. Crawford, Stephen L. Cornford, Suzanne L. Bevan, Thomas Zwinger, Rupert Gladstone, Karen Alley, Erin Pettit, and Jeremy Bassis
The Cryosphere, 16, 2545–2564, https://doi.org/10.5194/tc-16-2545-2022, https://doi.org/10.5194/tc-16-2545-2022, 2022
Short summary
Short summary
Thwaites Glacier (TG), in West Antarctica, is potentially unstable and may contribute significantly to sea-level rise as global warming continues. Using satellite data, we show that Thwaites Eastern Ice Shelf, the largest remaining floating extension of TG, has started to accelerate as it fragments along a shear zone. Computer modelling does not indicate that fragmentation will lead to imminent glacier collapse, but it is clear that major, rapid, and unpredictable changes are underway.
Jeannette Xiu Wen Wan, Natalya Gomez, Konstantin Latychev, and Holly Kyeore Han
The Cryosphere, 16, 2203–2223, https://doi.org/10.5194/tc-16-2203-2022, https://doi.org/10.5194/tc-16-2203-2022, 2022
Short summary
Short summary
This paper assesses the grid resolution necessary to accurately model the Earth deformation and sea-level change associated with West Antarctic ice mass changes. We find that results converge at higher resolutions, and errors of less than 5 % can be achieved with a 7.5 km grid. Our results also indicate that error due to grid resolution is negligible compared to the effect of neglecting viscous deformation in low-viscosity regions.
Joanne S. Johnson, Ryan A. Venturelli, Greg Balco, Claire S. Allen, Scott Braddock, Seth Campbell, Brent M. Goehring, Brenda L. Hall, Peter D. Neff, Keir A. Nichols, Dylan H. Rood, Elizabeth R. Thomas, and John Woodward
The Cryosphere, 16, 1543–1562, https://doi.org/10.5194/tc-16-1543-2022, https://doi.org/10.5194/tc-16-1543-2022, 2022
Short summary
Short summary
Recent studies have suggested that some portions of the Antarctic Ice Sheet were less extensive than present in the last few thousand years. We discuss how past ice loss and regrowth during this time would leave its mark on geological and glaciological records and suggest ways in which future studies could detect such changes. Determining timing of ice loss and gain around Antarctica and conditions under which they occurred is critical for preparing for future climate-warming-induced changes.
Stephen J. Chuter, Andrew Zammit-Mangion, Jonathan Rougier, Geoffrey Dawson, and Jonathan L. Bamber
The Cryosphere, 16, 1349–1367, https://doi.org/10.5194/tc-16-1349-2022, https://doi.org/10.5194/tc-16-1349-2022, 2022
Short summary
Short summary
We find the Antarctic Peninsula to have a mean mass loss of 19 ± 1.1 Gt yr−1 over the 2003–2019 period, driven predominantly by changes in ice dynamic flow like due to changes in ocean forcing. This long-term record is crucial to ascertaining the region’s present-day contribution to sea level rise, with the understanding of driving processes enabling better future predictions. Our statistical approach enables us to estimate this previously poorly surveyed regions mass balance more accurately.
Lennert B. Stap, Constantijn J. Berends, Meike D. W. Scherrenberg, Roderik S. W. van de Wal, and Edward G. W. Gasson
The Cryosphere, 16, 1315–1332, https://doi.org/10.5194/tc-16-1315-2022, https://doi.org/10.5194/tc-16-1315-2022, 2022
Short summary
Short summary
To gain understanding of how the Antarctic ice sheet responded to CO2 changes during past warm climate conditions, we simulate its variability during the Miocene. We include feedbacks between the ice sheet and atmosphere in our model and force the model using time-varying climate conditions. We find that these feedbacks reduce the amplitude of ice volume variations. Erosion-induced changes in the bedrock below the ice sheet that manifested during the Miocene also have a damping effect.
Christiaan T. van Dalum, Willem Jan van de Berg, and Michiel R. van den Broeke
The Cryosphere, 16, 1071–1089, https://doi.org/10.5194/tc-16-1071-2022, https://doi.org/10.5194/tc-16-1071-2022, 2022
Short summary
Short summary
In this study, we improve the regional climate model RACMO2 and investigate the climate of Antarctica. We have implemented a new radiative transfer and snow albedo scheme and do several sensitivity experiments. When fully tuned, the results compare well with observations and snow temperature profiles improve. Moreover, small changes in the albedo and the investigated processes can lead to a strong overestimation of melt, locally leading to runoff and a reduced surface mass balance.
Rongxing Li, Yuan Cheng, Haotian Cui, Menglian Xia, Xiaohan Yuan, Zhen Li, Shulei Luo, and Gang Qiao
The Cryosphere, 16, 737–760, https://doi.org/10.5194/tc-16-737-2022, https://doi.org/10.5194/tc-16-737-2022, 2022
Short summary
Short summary
Historical velocity maps of the Antarctic ice sheet are valuable for long-term ice flow dynamics analysis. We developed an innovative method for correcting overestimations existing in historical velocity maps. The method is validated rigorously using high-quality Landsat 8 images and then successfully applied to historical velocity maps. The historical change signatures are preserved and can be used for assessing the impact of long-term global climate changes on the ice sheet.
Nicolaj Hansen, Sebastian B. Simonsen, Fredrik Boberg, Christoph Kittel, Andrew Orr, Niels Souverijns, J. Melchior van Wessem, and Ruth Mottram
The Cryosphere, 16, 711–718, https://doi.org/10.5194/tc-16-711-2022, https://doi.org/10.5194/tc-16-711-2022, 2022
Short summary
Short summary
We investigate the impact of different ice masks when modelling surface mass balance over Antarctica. We used ice masks and data from five of the most used regional climate models and a common mask. We see large disagreement between the ice masks, which has a large impact on the surface mass balance, especially around the Antarctic Peninsula and some of the largest glaciers. We suggest a solution for creating a new, up-to-date, high-resolution ice mask that can be used in Antarctic modelling.
Peter A. Tuckett, Jeremy C. Ely, Andrew J. Sole, James M. Lea, Stephen J. Livingstone, Julie M. Jones, and J. Melchior van Wessem
The Cryosphere, 15, 5785–5804, https://doi.org/10.5194/tc-15-5785-2021, https://doi.org/10.5194/tc-15-5785-2021, 2021
Short summary
Short summary
Lakes form on the surface of the Antarctic Ice Sheet during the summer. These lakes can generate further melt, break up floating ice shelves and alter ice dynamics. Here, we describe a new automated method for mapping surface lakes and apply our technique to the Amery Ice Shelf between 2005 and 2020. Lake area is highly variable between years, driven by large-scale climate patterns. This technique will help us understand the role of Antarctic surface lakes in our warming world.
Zhongyang Hu, Peter Kuipers Munneke, Stef Lhermitte, Maaike Izeboud, and Michiel van den Broeke
The Cryosphere, 15, 5639–5658, https://doi.org/10.5194/tc-15-5639-2021, https://doi.org/10.5194/tc-15-5639-2021, 2021
Short summary
Short summary
Antarctica is shrinking, and part of the mass loss is caused by higher temperatures leading to more snowmelt. We use computer models to estimate the amount of melt, but this can be inaccurate – specifically in the areas with the most melt. This is because the model cannot account for small, darker areas like rocks or darker ice. Thus, we trained a computer using artificial intelligence and satellite images that showed these darker areas. The model computed an improved estimate of melt.
Cited articles
Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J., Binnie,
D., Paulsen, S. J., Granneman, B., and Gorodetzky, D.: The Landsat image
mosaic of Antarctica, Remote Sens. Environ., 112, 4214–4226,
https://doi.org/10.1016/j.rse.2008.07.006, 2008.
Born, M., Clemmow, P., Gabor, D., Stokes, A., Taylor, A., Wayman, A.,
Wilcock, W., and Wolf, E. (Eds.): Principles of Optics, 7th (expanded)
edition, Pergamon Press, Oxford, UK, 1999.
Borsa, A. A., Fricker, H. A., and Brunt, K. M.: A Terrestrial Validation of
ICESat Elevation Measurements and Implications for Global Reanalyses, IEEE
T. Geosci. Remote, 57, 6946–6959,
https://doi.org/10.1109/TGRS.2019.2909739, 2019.
Brunt, K. M., Hawley, R. L., Lutz, E. R., Studinger, M., Sonntag, J. G., Hofton, M. A., Andrews, L. C., and Neumann, T. A.: Assessment of NASA airborne laser altimetry data using ground-based GPS data near Summit Station, Greenland, The Cryosphere, 11, 681–692, https://doi.org/10.5194/tc-11-681-2017, 2017.
Brunt, K. M., Neumann, T. A., and Larsen, C. F.: Assessment of altimetry using ground-based GPS data from the 88S Traverse, Antarctica, in support of ICESat-2, The Cryosphere, 13, 579–590, https://doi.org/10.5194/tc-13-579-2019, 2019a.
Brunt, K. M., Neumann, T. A., and Smith, B. E.: Assessment of ICESat-2 ice
sheet surface heights, based on comparisons over the interior of the
Antarctic ice sheet, Geophys. Res. Lett., 46, 13072–13078,
https://https://doi.org/10.1029/2019GL084886, 2019b.
Brunt, K. M., Smith, B. E., Sutterley, T. C., Kurtz, N. T., and Neumann, T.
A.: Comparisons of Satellite and Airborne Altimetry With Ground-Based Data
From the Interior of the Antarctic Ice Sheet, Geophys. Res. Lett., 48, e2020GL090572, https://doi.org/10.1029/2020GL090572, 2021.
Chang, R. F., Currie, D., Alley, C., and Pittman, M.: The far field
diffraction pattern for corner reflectors with complex reflection
coefficients, J. Opt. Soc. Am., 61, 431–438,
https://doi.org/10.1364/JOSA.61.000431, 1971.
Hartzell, P., Dang, Z., Pan, Z., and Glennie, C.: Radiometric evaluation of
an airborne single photon Lidar sensor, IEEE Geosci. Remote S., 15,
1466–1470, https://doi.org/10.1109/LGRS.2018.2841811, 2018.
ICESat-2 Technical Specs: https://icesat-2.gsfc.nasa.gov/science/specs, last access: 27 September 2020.
James, M. R. and Robson, S.: Straightforward reconstruction of 3D surfaces
and topography with a camera: accuracy and geoscience application, J.
Geophys. Res., 117, F03017, https://doi.org/10.1029/2011JF002289, 2012.
Kohler, J., Neumann, T. A., Robbins, J. W., Tronstad, S., and Melland, G.:
ICESat elevations in Antarctica along the 2007-09 Norway-USA Traverse:
validation with ground-based GPS, IEEE T. Geosci. Remote, 51, 1578–1587,
https://doi.org/10.1109/TGRS.2012.2207963, 2013.
Li, B., Zang, N., Ge, H., and Shen, Y.: Single-frequency PPP models:
analytical and numerical comparison, J. Geod., 93, 2499–2514,
https://doi.org/10.1007/s00190-019-01311-4, 2019.
Li, R., Li, H., Hao, T., Qiao, G., Cui, H., He, Y., Hai, G., Xie, H., Cheng, Y., and Li, B.: The calibration and validation data used in ICESat-2 Antarctic surface elevation assessment, available at: https://datadryad.org/stash/share/5 mU52z7OSWAG07tTsGCWXt0Rm0MmT12qwdPORBIUpsnw, last access: 12 April 2021.
Luthcke, S. B., Thomas, T. C., Pennington, T. A., Rebold, T. W., Nicholas,
J. B., Rowlands, D. D., Gardner, A. S., and Bae, S.: ICESat-2 Pointing
Calibration and Geolocation Performance, Earth Space Sci.,
https://doi.org/10.1029/2020EA001494, 2021.
Magruder, L. A. and Brunt, K. M.: Performance analysis of airborne
photon-counting lidar data in preparation for the ICESat-2 mission, IEEE T.
Geosci. Remote, 56, 2911–2918, https://doi.org/10.1109/TGRS.2017.2786659,
2018.
Magruder, L. A., Brunt, K. M., and Alonzo, M.: Early ICESat-2 on-orbit
geolocation validation using ground-based corner cube retro-reflectors,
Remote Sensing, 12, 3653, https://doi.org/10.3390/rs12213653, 2020.
Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B.,
Farrell, S., Fricker, H., Gardner, A., Harding, D., Jasinski, M., Kwok, R.,
Magruder, L., Lubin, D., Luthcke, S., Morison, J., Nelson, R.,
Neuenschwander, A., Palm, S., Popescu, S., Shum, B. E., Schutz, R., Smith,
B., Yang, Y., and Zwally, J.: The Ice, Cloud, and Land Elevation Satellite-2
(ICESat-2): Science requirements, concept, and implementation, Remote Sens.
Environ., 190, 260–273, https://doi.org/10.1016/j.rse.2016.12.029, 2017.
McGlone, J. C.: Manual of Photogrammetry, Sixth Edition, ASPRS Publications,
Maryland, MD, USA, 2013
National Research Council: Earth science and applications from space:
national imperatives for the next decade and beyond, the national academies
press, Washington, DC, https://doi.org/10.17226/11820, 2007.
Neumann, T., Brenner, A., Hancock, D., Harbeck, K., Luthcke, S., Robbins,
J., Saba, J., and Gibbons, A.: Ice, Cloud, and Land Elevation Satellite-2
project algorithm theoretical basis document for global geolocated photons
(ATL03), https://icesat-2.gsfc.nasa.gov/science/data-products (last access: 27 September 2020), 2018.
Neumann, T. A., Martino, A. J., Markus, T., Bae, S., Bock, M. R., Brenner,
A. C., Brunt, K. M., Cavanaugh, J., Fernandes, S. T., Hancock, D. W.,
Harbeck, K., Lee, J., Kurtz, N. T., Luers, P. J., Luthcke, S. B., Magruder,
L., Pennington, T. A., Ramos-Izquierdo, L., Rebold, T., Skoog, J., and
Thomas, T. C.: The Ice, Cloud, and Land Elevation Satellite-2 Mission: A
global geolocated photon product derived from the Advanced Topographic Laser
Altimeter System, Remote Sens. Environ., 233, 111325,
https://doi.org/10.1016/j.rse.2019.111325, 2019.
Neumann, T., Brenner, A., Hancock, D., Robbins, J., Saba, J., Harbeck, K.,
Gibbons, A., Lee, J., Luthcke, S., and Rebold, T.: ATLAS/ICESat-2 L2A global
geolocated photon data, Version 3, NASA National Snow and Ice Data Center,
Distributed Active Archive Center, Boulder, Colorado USA,
https://doi.org/10.5067/ATLAS/ATL03.003, 2020.
NSIDC: https://nsidc.org/data/icesat-2, last access: 8 January 2021.
Petit, G. and Luzum, B.: IERS conventions (2010), IERS Technical Note 36,
Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am
Main, 2010.
Richter, A., Horwath M., and Dietrich R.: Comment on Zwally and others
(2015) – Mass gains of the Antarctic ice sheet exceed losses, J. Glaciol.,
62, 604–606, https://doi.org/10.1017/jog.2016.60, 2016.
Scambos, T. and Shuman C.: Comment on “Mass gains of the Antarctic ice
sheet exceed losses” by H. J. Zwally and others, J. Glaciol., 62, 599–603,
https://doi.org/10.1017/jog.2016.59, 2016.
Schröder, L., Richter, A., Fedorov, D. V., Eberlein, L., Brovkov, E. V., Popov, S. V., Knöfel, C., Horwath, M., Dietrich, R., Matveev, A. Y., Scheinert, M., and Lukin, V. V.: Validation of satellite altimetry by kinematic GNSS in central East Antarctica, The Cryosphere, 11, 1111–1130, https://doi.org/10.5194/tc-11-1111-2017, 2017.
Schutz, B. E., Bae, S., Smith, N., and Sirota, M.: Precision orbit and
attitude determination for ICESat, Adv. Astronaut. Sci, 115, 416–427, 2008.
Smith, B., Fricker, H. A., Holschuh, N., Gardner, A. S., Adusumilli, S.,
Brunt, K. M., Csatho, B., Huth, A., Neumann, T., Nilsson, J., and Siegfried,
M. R.: Land ice height-retrieval algorithms for NASA's ICESat-2
photon-counting laser altimeter, Remote Sens. Environ., 233, 111352,
https://doi.org/10.1016/j.rse.2019.111352, 2019.
Smith, B., Fricker, H. A., Gardner, A., Siegfried, M. R., Adusumilli, S., Csathó, B. M., Holschuh, N., Nilsson, J., Paolo, F. S., and the ICESat-2 Science Team: ATLAS/ICESat-2 L3A Land Ice Height, Version 3, https://doi.org/10.5067/ATLAS/ATL06.003, 2020.
Sun, X., Smith, D. E., Hoffman, E. D., Wake, S. W., Cremons, D. R.,
Mazarico, E., Lauenstein, J., Zuber, M. T., and Aaron, E. C.: Small and
lightweight laser retro-reflector arrays for lunar landers, Appl. Opt.,
58, 9259–9266, https://doi.org/10.1364/AO.58.009259, 2019.
Takasu, T. and Yasuda, A.: Development of the low-cost RTK-GPS receiver with
an open source program package RTKLIB, International Symposium on GPS/GNSS,
International Convention Center Jeju, Korea, 4–6 November 2009.
Takasu, T.: RTKLIB ver. 2.4.2 Manual, available at:
http://www.rtklib.com/prog/manual_2.4.2.pdf (last access: 21
October 2020), 2013.
Turner, D., Lucieer, A., and Wallace, L.: Direct georeferencing of
ultrahigh-resolution UAV imagery, IEEE T. Geosci. Remote, 52, 27380-2745,
https://doi.org/10.1109/TGRS.2013.2265295, 2014.
Zwally, H. J., Schutz, B., Abdalati, W., Abshire, J., Bentley, C., Brenner,
A., Bufton, J., Dezio, J., Hancock, D., Harding, D., Herring, T., Minster,
B., Quinn, K., Palm, S., Spinhirne, J., and Thomas, R.: ICESat's laser
measurements of polar ice, atmosphere, ocean, and land, J. Geodyn., 34,
405-0445, https://doi.org/10.1016/S0264-3707(02)00042-X, 2002.
Zwally, H. J., Li, J., Robbins, J. W., Saba, J. L., Yi, D., and Brenner, A.
C.: Mass gains of the Antarctic ice sheet exceed losses, J. Glaciol.,
61, 1019–1036, https://doi.org/10.3189/2015JoG15J071, 2015.
Short summary
We present the results of an assessment of ICESat-2 surface elevations along the 520 km CHINARE route in East Antarctica. The assessment was performed based on coordinated multi-sensor observations from a global navigation satellite system, corner cube retroreflectors, retroreflective target sheets, and UAVs. The validation results demonstrate that ICESat-2 elevations are accurate to 1.5–2.5 cm and can potentially overcome the uncertainties in the estimation of mass balance in East Antarctica.
We present the results of an assessment of ICESat-2 surface elevations along the 520 km CHINARE...