We are thrilled to share that Prof. Jianli CHEN, Professor of the Department of Land Surveying and Geo-informatics (LSGI) together with a team of global researchers, have integrated various modern space geodetic techniques, particularly satellite positioning data, to monitor the subsidence of vertical bedrock and successfully quantify summer water storage in the Greenland ice sheet. This groundbreaking research, published in the prestigious journal Nature, offers new insights and evidence regarding the contribution of ice sheets to global sea-level rise.
The Greenland ice sheet, second only to Antarctica in size, plays a crucial role in global sea-level rise. If it were to melt completely, sea levels could rise by an alarming seven meters. Despite its significance, many aspects of how water accumulates, is stored, and is released within the ice sheet remain unclear. Prof. Jianli Chen, collaborated with experts from Hong Kong, Mainland China, the US, the Netherlands, and Belgium, has made significant strides in understanding these processes by integrating advanced satellite positioning data and other space geodetic techniques.
The research team focuses on the evolution meltwater storage to gain a deeper understanding of ice sheet melting behavior and its effects on sea-level rise. They have been at the forefront of utilizing the Greenland GPS Network (GNET) and satellite gravity data from NASA’s Gravity Recovery and Climate Experiment. With nearly 22 Global Navigation Satellite System (GNSS) stations positioned around Greenland, they continuously gather positioning data. This has led them to conclude that high summer temperatures could become a regular occurrence in the future. Accurately predicting meltwater storage during these periods is essential for evaluating sea-level rise.
Prof. Chen highlighted that the study, which took years of preparation, not only integrated various modern space geodetic techniques but also involved challenging expeditions to some of the most remote areas on Earth. He emphasized that the significant results highlight the importance of extensive international cooperation in addressing climate change challenges. Their research would contribute to achieving accurate model performance for warmer years, which would aid in projecting ice-sheet behavior and its impact on sea-level rise in the coming decades.
This research underscores our academic staff's dedication to advancing scientific knowledge and addressing the pressing issue of climate change. Our work is vital for developing accurate models to predict future sea-level changes, particularly in light of anticipated Arctic warming.
Media coverages:
18 Feb 2025
Oriental Daily News (格陵蘭融冰機制 理大以衞星數據解謎) - https://polyu.me/4b2Bzv2
Ming Pao Daily News (理大衛星數據測格陵蘭融水) – https://polyu.me/431denw
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Ta Kung Pao (理大參與研究格陵蘭冰蓋融化 助預測海平面上升速度) - https://polyu.me/3X17FBB
Wen Wei Po (理大與國際專家靠衛星定位數據 揭示格陵蘭冰蓋融化機制)- https://polyu.me/4hGscU6
Hong Kong Commercial Daily (理大與國際專家合作運用衛星定位數據 助預測海平面上升速度) - https://polyu.me/415fWpm
Dot Dot News (理大參與研究格陵蘭冰蓋融化 助預測海平面上升速度) - https://polyu.me/4hFRBgV
Line Today (理大參與研究格陵蘭冰蓋融化 助預測海平面上升速度) - https://polyu.me/42Zm1WH
Hong Kong China News Agency (理大參與研究格陵蘭冰蓋融化 助預測海平面上升速度) - https://polyu.me/4bbDSMj
Wuxi Daily (理大與國際專家合作運用衛星定位數據 揭示格陵蘭冰蓋融化機制) - https://polyu.me/4gNsebR
羊城晚報 (創新採用衛星數據破解冰蓋融化國際難題 理大學者參與研究助預測海平面上升速度) - https://polyu.me/4k1P4iC
南方日報 (理大研究揭格陵蘭冰蓋融化機制 助預測海平面上升速度) - https://polyu.me/41pV6RR
Sina (創新採用衛星數據破解冰蓋融化國際難題 理大學者參與研究助預測海平面上升速度) - https://polyu.me/41jxQFX
Sohu (理大研究揭格陵蘭冰蓋融化機制 助預測海平面上升速度) - https://polyu.me/3X6cgT6
Zhihu (理大參與研究格陵蘭冰蓋融化 助預測海平面上升速度) - https://polyu.me/4b7ImmY
Department of Land Surveying and Geo-Informatics |