The East Asian Summer Monsoon (EASM) affects up to one third of the world's population (Chang, 2004), and the arable land in China is estimated to feed 20% of the Earth's population on 7% of the world's farmlands (Cui & Shoemaker, 2018). The reliance of agriculture on EASM rainfall means that there is a strong drive to predict when rain will arrive. In East Asia, the wet season begins with the abrupt reversal of the lower-level zonal wind over the South China Sea (SCS), accompanied by an off-equatorial shift in the tropical rainband over this area, known as the South China Sea Monsoon (SCSM; B. Wang & LinHo, 2002). This is followed by the development of an east-west oriented front of precipitation, known as Meiyu in China, which brings intense rainfall to the Yangtze River valley from mid-June to-July (Ding & Wang, 2005; B. Wang & LinHo, 2002). SCSM onset timing is considered a precursor to the broader-scale onset of the monsoon over East Asia (Lau & Yang, 1997; B. Wang et al., 2004) and additionally appears correlated to monsoon rainfall intensity over China, with an early onset associated with a drier summer (He & Zhu, 2015; Huang et al., 2006). The monsoon onset over the South China Sea varies interannually from late-April to mid-June (e.g., B. Wang et al., 2004 and see Figure 1), giving over a month's uncertainty. In this paper, I propose a novel approach to improving predictability of the SCSM onset by exploring whether recent theoretical advances in monsoon dynamics can provide insight into controls on SCSM onset timing and inform seasonal forecasting efforts.