气候变化背景下，冰川跃动及带来的相关灾害时有发生。由于冰川底部监测很困难，对冰川跃动的控制机制仍存在多种解释。焓平衡模型是近期提出的综合冰川物质、热力及水文的通用跃动模型，可解释多种类型的冰川跃动过程。根据已发布的数据及利用遥感卫星数据提取的南雷姆冰川（SRG）表面流速与表面高程数据，计算了冰川滑动速度及应力变化，同时，根据焓平衡模型计算不同时期冰川由摩擦生热产生的焓，系统分析了南雷姆冰川在2000—2024 年跃动前后的时空特征及关键过程。结果表明：①2018—2020 年南雷姆冰川有跃动期间，冰底部有大量水参与作用，这可能是热控制引发的底部融水和冰川表面融水渗入冰床，改变了底部水压进而引发的快速运动；②南雷姆冰川跃动期间，焓主要来源为滑动摩擦产热，跃动前、跃动期、跃动后3 个阶段，摩擦生热的年均产焓量分别为1.0 W/m²、3.2 W/m²和0.5 W/m²，年均产焓最高值出现在2019 年（约6.2 W/m²），而焓支出主要为冰下底部融水的排出；③南雷姆冰川此次跃动并未抵达上一次跃动（1989—1999 年）末端位置，表明此次跃动相较上次强度有所减弱；④焓平衡模型可有效解释冰川跃动加速与减缓过程。东喀喇昆仑南雷姆冰川跃动受水/热耦合机制控制，但对于跃动何时达到临界值启动以及何时停止需要详实的冰川底部水文观测数据进行分析。

Abstact： In the context of climate change, glacier surges and the associated hazards are occurring with increasing frequency. The enthalpy-balance model is a recently proposed, generalized framework that integrates glacier mass balance, thermodynamics, and subglacial hydrology, and it can account for surging processes across a wide range of glacier types. We integrate previously published datasets with additional surface velocity and surface elevation data of the South Rimo Glacier (SRG) derived from remote-sensing satellite observations. On this basis, glacier basal sliding velocities and stress variations are calculated. Furthermore, an enthalpy balance model is employed to estimate glacier enthalpy production during different periods. Using these datasets and methods, we systematically analyze the spatiotemporal characteristics and key processes of SRG before and after its surge events from 2000 to 2024. The results indicate that: ① The surge of SRG involved substantial water participation and was likely triggered by thermally controlled basal meltwater generation and the infiltration of surface meltwater into the glacier bed, which altered subglacial water pressure and induced rapid glacier motion; ② During the surge, the dominant enthalpy source in SRG was frictional heat generated by basal sliding. The mean annual enthalpy production attributable to frictional heating was approximately 1.0, 3.2, and 0.5 W/m2 during the pre-surge, surge, and post-surge stages, respectively, with the highest mean annual value occurring in 2019 (~6.2 W/m2). In contrast, enthalpy losses were primarily associated with the discharge of subglacial basal meltwater.; ③the terminus position reached during this surge did not extend as far as that of the previous surge (1989-1999), suggesting that the intensity of the current surge was weaker than that of the last event; and ④ the enthalpy balance model effectively explains the acceleration and deceleration phases of glacier surging. The surging behavior of the South Rimo Glacier, eastern Karakoram, is governed by a coupled hydro-thermal mechanism, but as to when the surge reaches the critical threshold to start and when it stops, detailed subglacial hydrological observation data are needed for analysis.