Ural
Research results of Fudan Mu Mu academician team on the influence of Arctic sea ice on the sub seasonal forecast of Ural blocking
Editor’s recommendation: Academician Mu’s team applied the conditional nonlinear optimal boundary perturbation method to the complex atmospheric general circulation model (cam4), numerically solved the nonlinear optimization problem of the influence of Arctic sea ice density on the predictability of Ural blocking events in winter, and studied the influence of Arctic sea ice on the predictability of Ural blocking events from the sub seasonal scale The following article is from Dafeng Muyu Guanghua Fudan, by daiguokun As a research highlight, the paper Journal of geophysical research: atmospheres Under the background of…
