Knowing　the　probability　information　of　extreme　wind　load　is　important　for　reliability-based　structural　wind　resistance　design.　The　Hermite　polynomial　model　(HPM)-based　translation　process　method　performs　well　in　estimating　extreme　value　of　strongly　non-Gaussian　wind　load.　It　has　been　favored　by　researchers　and　widely　used.　On　the　other　hand,　using　this　method　is　relatively　complicated　and　highly　theoretical,　which　is　not　conducive　to　engineering　application.　Therefore,　based　on　this　method,　this　paper　proposes　an　empirical　formula　for　estimating　the　extreme　value　of　non-Gaussian　wind　load.　In　this　paper,　the　HPM-based　translation　process　method　was　first　presented　systematically.　The　distribution　model　of　extreme　wind　load　was　then　discussed.　Afterward　the　empirical　formula　of　extreme　value　distribution　of　wind　load　was　proposed　through　the　regression　analysis.　The　applicability　and　accuracy　of　the　formula　were　also　verified.　The　research　shows　that　the　extreme　value　of　wind　load　can　be　quickly　estimated　by　the　empirical　formula　only　with　knowledge　of　limited　statistics　of　wind　load.　The　accuracy　is　the　same　as　the　prototype　method,　however,　the　efficiency　and　convenience　are　significantly　improved,　which　makes　it　easy　to　promote　the　use　of　the　method　in　engineering　application.　©　2024　Beijing　University　of　Technology.　All　rights　reserved.