兰州大学的新模型利用卫星数据改进了全球碳吸收跟踪。 A new model from Lanzhou University improves global carbon uptake tracking using satellite data.

来自兰州大学和国际伙伴的研究人员开发了一个新的生态系统轻用效率(eLUE)模型,利用卫星数据提高全球初级总生产率(GPP)的估计值。 Researchers from Lanzhou University and international partners have developed a new ecosystem light-use efficiency (eLUE) model that improves global gross primary productivity (GPP) estimates using satellite data. 该模型发表在IEEE"地球科学和遥感交易"杂志上,提供比传统方法更简单,更快,更准确的方法,在120个全球FLUXNET站点中具有较低的错误率和高稳定性. The model, published in IEEE Transactions on Geoscience and Remote Sensing, offers a simpler, faster, and more accurate method than traditional approaches, with low error rates and high stability across 120 global FLUXNET sites. 它有助于更好地监测陆地生态系统中的碳固存,支持气候变化研究和政策制定。 It enables better monitoring of carbon sequestration in terrestrial ecosystems and supports climate change research and policy development. 该小组还创建了2001年至2024年全球全球方案伙伴关系综合数据集,加强了了解碳循环和实现碳中和目标的努力。 The team also created a comprehensive global GPP dataset from 2001 to 2024, enhancing efforts to understand the carbon cycle and achieve carbon neutrality goals.