Unprecedentedly extreme precipitation occurred in Pakistan (PAK), and mega heat waves persisted along the Yangtze River Valley (YRV) from July to August 2022. Using the advanced multiscale window transform-based canonical transfer attribution framework, we quantitatively delineated intra-scale and inter-scale interactions leading to record-breaking spatially concurrent extremes in 2022 and comprehensively revealed differences in dynamic processes affecting extreme events in July and August. The basic flow scale window lost the available potential energy (APE), and through APE canonical transfers to the intraseasonal-scale and synoptic-scale windows, the inter-scale dynamic processes and barotropic instability of the basic flow scale preserved the concurrent extreme in July. In August, the eruptive synoptic-scale kinetic energy convergence provided dynamic conditions for the sinking motion of the YRV and its advection to PAK from the Indian Ocean. Consequently, the interaction between high- and low-frequency processes drove atmospheric circulation in summer, but the high-frequency process in August played a vital role in extreme events. Additionally, the heat source in the tropical western-central Pacific is considered one of the key drivers for localized repetitive bursts of energy. This study emphasizes both the interactions between multiple scales of atmospheric dynamics and reveals the driving mechanisms behind the impacts of warming on extreme events, linking the external forcing issue with the free problem of atmospheric internal instability.

2022年7月至8月，巴基斯坦（PAK）出现前所未有的极端降水，长江流域（YRV）持续出现特大热浪。利用先进的基于多尺度窗口变换的典型传递归因框架，我们定量描绘了尺度内和尺度间的气候变化。尺度相互作用导致2022年创纪录的空间并发极端事件，并全面揭示了影响7月和8月极端事件的动态过程的差异。基本流量尺度窗口失去了可用势能（APE），通过APE正则传递到季节内尺度和天气尺度窗口，基本流量尺度的尺度间动力过程和正压不稳定性保留了7月的并发极值。 。 8月，喷发的天气尺度动能汇聚为长江流域的下沉运动及其从印度洋向PAK的平流运动提供了动力条件。因此，高频过程和低频过程之间的相互作用驱动了夏季的大气环流，但8月份的高频过程在极端事件中发挥了至关重要的作用。此外，热带中西部太平洋的热源被认为是局部重复性能量爆发的关键驱动因素之一。这项研究强调了大气动力学多个尺度之间的相互作用，并揭示了变暖对极端事件影响背后的驱动机制，将外部强迫问题与大气内部不稳定的自由问题联系起来。