Miura Hiroaki, Satoh Masaki, Nasuno Tomoe, Noda Akira T, Oouchi Kazuyoshi
Frontier Research Center for Global Change, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showamachi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan.
Science. 2007 Dec 14;318(5857):1763-5. doi: 10.1126/science.1148443.
A Madden-Julian Oscillation (MJO) is a massive weather event consisting of deep convection coupled with atmospheric circulation, moving slowly eastward over the Indian and Pacific Oceans. Despite its enormous influence on many weather and climate systems worldwide, it has proven very difficult to simulate an MJO because of assumptions about cumulus clouds in global meteorological models. Using a model that allows direct coupling of the atmospheric circulation and clouds, we successfully simulated the slow eastward migration of an MJO event. Topography, the zonal sea surface temperature gradient, and interplay between eastward- and westward-propagating signals controlled the timing of the eastward transition of the convective center. Our results demonstrate the potential making of month-long MJO predictions when global cloud-resolving models with realistic initial conditions are used.
马登-朱利安振荡(MJO)是一种大规模天气事件,由深厚对流与大气环流耦合而成,在印度洋和太平洋上缓慢向东移动。尽管它对全球许多天气和气候系统有巨大影响,但由于全球气象模型中对积云的假设,事实证明模拟马登-朱利安振荡非常困难。我们使用一个允许大气环流和云直接耦合的模型,成功模拟了一次马登-朱利安振荡事件的缓慢东移。地形、纬向海表面温度梯度以及向东和向西传播信号之间的相互作用控制了对流中心向东转变的时间。我们的结果表明,当使用具有现实初始条件的全球云分辨模型时,有潜力做出长达一个月的马登-朱利安振荡预测。