Global Mean Sea Level Rise

Global Mean Sea Level Rise (GMSL) is the average height of the entire ocean surface. This is the average height of the entire ocean surface. Global mean sea level rise is caused primarily by two factors related to global warming: the added water from melting land-based ice sheets and glaciers and the expansion of seawater as it warms. From space sea level can be observed by satellite altimeters (NASA, n.d.)

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基于数字孪生的现实条件海平面上升模拟

Translated by Dr. Mengyi Jin

数字孪生技术正越来越多地应用于模拟海平面上升所带来的影响,为城市规划、海岸管理和灾害应对等领域的决策者提供了宝贵的工具。这些虚拟模型整合了包括地理空间影像、人工智能和环境监测系统等不同来源的实时数据,可以详细模拟海平面上升对特定区域产生的影响。

通过准确绘制当前的土地覆盖特征,并不断用新数据更新这些模型,数字孪生使研究人员和政府部门能够在不同的气候变化条件下对未来的情景进行预测。这有助于识别脆弱区域、规划基础防护设施以及优化疏散策略。例如,高分辨率地理空间数据可以显示哪些区域面临洪水风险,而由人工智能驱动的模拟则可以预测海平面上升可能对当地生态系统和城市环境产生的长期影响。

通过将海平面上升纳入数字孪生模拟,城市规划者和环境科学家可以充分了解其对沿海地区的长期影响,从而为气候变化带来的挑战做好更加充分的准备。这项技术对于直观呈现和科学规划适应性应对措施,从而减缓海平面上升可能造成的损害具有重要意义。

Using space-based technologies to monitor global sea level changes

Sea-level rise is a key indicator of climate change and accurately monitoring it is essential for climate science, policy-making, and protecting low-lying regions at risk. Satellite remote sensing has become an efficient tool for surveying sea level change at global and regional scales. TOPEX/Poseidon, a series of modern high-precision ocean altimeter satellites marks the beginning of the satellite altimeter era. Presently, Jason-CS/Sentinel-6 is the new advanced generation of high-precision altimeters. The application of satellite altimetry can be used to measure sea surface topography with high accuracy and reliability and further to support ocean forecasting systems, environmental monitoring and climate monitoring. The Jason-CS/Sentinel-6 satellites will extend the satellite data record through at least 2030, providing a nearly 40-year record of sea-level data.

Digital Twin solution for realistic sea level rise simulation

Digital twin technology is increasingly being used to simulate the effects of sea level rise, providing valuable tools for decision-makers in areas such as urban planning, coastal management, and disaster preparedness. These virtual models integrate real-time data from various sources, including geospatial imagery, AI, and environmental monitoring systems, to create detailed simulations of how rising sea levels could impact specific regions.