Extreme　weather　events　are　occurring　more　frequently　and　becoming　increasingly　unpredictable　amid　climate　change.　Low-temperature　events　(LTEs),　in　particular,　exhibit　dynamic　variations　across　different　regions　and　environments.　Using　a　single　threshold　to　define　LTEs　can　be　limiting,　so　this　study　considered　nine　distinct　LTE　types,　characterized　by　varying　consecutive　day　counts　and　percentile　thresholds,　to　uncover　their　spatiotemporal　patterns　and　dynamics.　Furthermore,　the　correlation　between　LTEs　and　climate　factors　is　assessed　across　distinct　climatic　regions　in　China.　The　results　reveal　that:　the　spatial　distribution　and　overall　dynamics　of　different　LTEs　are　largely　consistent,　with　higher　frequency　and　longer　duration　observed　in　the　Xinjiang　region;　the　frequency　and　duration　of　various　LTEs　exhibit　a　declining　trend　across　most　regions,　and　minimum　temperatures　during　LTEs　demonstrate　a　decreasing　trend　in　arid　regions,　juxtaposed　with　an　increasing　trend　observed　in　cold　zones.　The　threshold　definition　method　using　minimum　temperatures　below　the　10th　percentile　for　at　least　three　consecutive　days　best　characterizes　LTEs　in　China.　Additionally,　LTEs　show　a　strong　correlation　with　longwave　radiation.　This　study　offers　valuable　quantitative　insights　for　managing　and　responding　to　extreme　weather　events　in　the　context　of　climate　change.