Advances in Earth Science, 2020 35 (6): 560
Numerical weather prediction, which is the major basis of current weather forecast, has some shortcomings, such as the understanding of the law of atmospheric motion, the assimilation and application of observation data, the expression of model physics, etc., leading to the forecast error of weather. The rapid development of artificial intelligence technology in recent years provides a new possibility for the advancement and innovation of weather forecast. In this paper, the background of the development of artificial intelligence, the current situation of the application of artificial intelligence technology to weather forecast and the future development trend are mainly described to accoun. . .
Yongchui Zhang, Ning Wang, Lin Zhou, Kefeng Liu, Haodi Wang
Advances in Earth Science, 2020 35 (6): 580
Mesoscale eddies, which are widely found in the oceans, play a vital role in momentum, energy, heat and mass transport. The Euler method for identifying mesoscale eddies using satellite altimeter data was presented in detail, including closed SLA contours, OW numbers, Winding-Angle and flow vector methods. The results show that mesoscale eddies are almost nonlinear and solid-body rotation. The long-lived eddies with lifetimes ≥16 weeks have an average lifetime of 32 weeks and an average propagation distance of 550 km. Their mean amplitude and a speed-based radius scale as defined by the automated procedure are 8 cm and 90 km, respectively. The method combining with SLA and Argo profiles to c. . .
Xiaxiang Li, Changxin Liu, Fang Wang, Zhixin Hao
Advances in Earth Science, 2020 35 (6): 631
Increasing green investment is one of the important ways to promote sustainable development in the Belt and Road (B&R) region. We predicted the effects of China’s investments on the CO2 emission patterns in B&R areas under the scenarios of No-Investment (NIS), Business-as-usual Investment (BIS) and the Strengthening Investment Scenario (SIS) based on the improved Solow model and a CO2 intensity model. The results reveal that the GDP of B&R region will cumulatively increase by 45.16 and 97.02 trillion USD, and the CO2 will cumulatively decrease by 44.16 and 79.47 Gt by 2100, respectively, under BIS and SIS, compared with NIS. The cumulative decrease of CO2 emissions, 44.16 and 79.47 Gt, will . . .