This study investigated the impact of sea surface temperature (SST) on a snowfall event of late January 2018 on Kanto, Honshu, Japan, associated with an extratropical cyclone (south-coast cyclone) along the Pacific side, during the Kuroshio large meandering period by a regional atmospheric model. We addressed SST impacts on the snowfall event under almost the same synoptic-scale conditions, such as extratropical cyclone, in a framework of lateral boundary forcing. We conducted control experiments (KLM) with SST of the Kuroshio large mean-dering, and sensitivity experiments (NKLM) prescribed non-Kuroshio large meandering SSTs. Observational results showed that SST anomalies south of Tokai, and east of northern Kanto and Tohoku could be candidates to modify a snowfall event. As simulated results, timings of snowfall and precipitation associated with the extratropical cyclone was reproduced. Unlike what has been suggested, the SST impact south of Tokai on snowfall was not clear. However, the SST east of northern Kanto and Tohoku showed a significant impact. This impact was explained by southward advection of modified air-mass from east of northern Kanto and Tohoku. Additional sensitivity experiments supported this result. This study implies the importance of the SST anomaly east of northern Kanto and Tohoku for snowfall in Tokyo.

这项研究调查了黑潮大曲折期间海面温度（SST）对2018年1月下旬日本本州关东降雪事件的影响，该降雪事件与沿太平洋一侧的温带气旋（南海岸气旋）有关。区域大气模型。我们在侧向边界强迫的框架内，研究了在几乎相同的天气尺度条件下，如温带气旋，SST对降雪事件的影响。我们用黑潮大曲折的SST进行了对照实验（KLM），敏感性实验（NKLM）规定了非黑潮大曲折的SST。观测结果表明，东海以南，关东北部和东北以东的海温异常可能是改变降雪事件的候选者。作为模拟结果，再现了与温带气旋有关的降雪和降水时间。与所建议的不同，尚不清楚东海以南的海温对降雪的影响。然而，关东和东北北部的海表温度显示了重大影响。这种影响是由于关东北部和东北部以东的改良气团向南平流解释的。额外的灵敏度实验支持了这一结果。这项研究表明关东北部和东北部的SST异常对于东京降雪的重要性。这种影响是由于关东北部和东北部以东的改良气团向南平流解释的。额外的灵敏度实验支持了这一结果。这项研究表明关东北部和东北部的SST异常对于东京降雪的重要性。这种影响是由于关东北部和东北部以东的改良气团向南平流解释的。额外的灵敏度实验支持了这一结果。这项研究表明关东北部和东北部的SST异常对于东京降雪的重要性。