The　impacts　of　typhoons　on　coastal　areas　around　the　globe　necessitate　the　risk　assessments　of　typhoon　events　to　analyze　their　paths,　intensity,　and　impacts　on　the　environment　for　disaster　prevention　and　reduction　as　well　as　for　the　scientific　assessments　of　typhoon　impacts.　To　this　end,　the　typhoon　wind　field　needs　to　be　obtained　by　inversion　to　attain　its　temporal　and　spatial　scopes　of　influence　and　disaster-inducing　intensities　using　simulation　algorithms　that　are　based　on　the　existing　typhoon　path　data.　The　wind　field　calculation　is　a　typical　kind　of　compute-intensive　processing.　It　is　time-consuming　(especially　when　the　temporal　resolution　and　the　spatial　resolution　are　high)　to　an　extent,　which　makes　it　difficult　for　a　traditional　stand-alone　computation　to　meet　the　application　needs　for　typhoon　risk　assessments.　Therefore,　studies　need　to　be　conducted　to　accelerate　the　wind　field　calculations.　Currently,　the　most　economical　and　relatively　feasible　method　is　to　rapidly　generate　a　large　quantity　of　typhoon　risk　data　using　multi-thread,　graphics　processing　unit　computing　or　clustering　technologies　(e.g.,　cloud　computing).　Hence,　we　have　attempted　to　use　the　latest　cloud　computing　framework,　Spark,　for　the　rapid　simulation　of　the　typhoon　wind　field.　This　paper　proposed　a　storage　model　for　typhoon　paths　and　wind　fields　under　the　Spark　environment,　as　well　as　a　wind　field　parallel　acceleration　method　based　on　Spark.　Using　this　approach,　we　have　calculated　a　total　of　1038　historical　wind　fields　that　impacted　the　northwestern　Pacific　Ocean　from　1949　to　2014.　The　results　indicate　that　the　Spark-based　wind　field　computation　method　proposed　in　this　paper　has　a　greater　advantage　in　terms　of　performance,　which　facilitates　the　typhoon　risk　assessment　feasibility.