Understanding　the　geophysical　drivers　of　seasonal　geocentre　motion　(GCM)　variations　remains　challenging　due　to　the　complexity　of　Earth　system　interactions,　limited　data　on　individual　mass　redistribution　components　and　model　uncertainties.　This　study　presents　a　comprehensive　investigation　of　seasonal　GCM　signals　from　April　2002　to　January　2024　using　the　Fingerprint　Approach　(FPA),　which　enables　direct　quantification　of　contributions　from　distinct　Earth　system　components.　Additionally,　Multichannel　Singular　Spectrum　Analysis　(MSSA)　is　applied　to　quantify　the　influence　of　terrestrial　water　storage　(TWS),　atmosphere　(ATM)　and　ocean　(OCN)　variability　on　seasonal　GCM　fluctuations.　Correlation　and　lag　analyses　are　employed　to　explore　their　temporal　relationships　and　underlying　geophysical　linkages.　The　results　reveal　that　TWS,　ATM　and　OCN　jointly　explain　97.9　per　cent,　98.1　per　cent　and　90.8　per　cent　of　the　seasonal　variance　in　the　X,　Y　and　Z　components　of　GCM,　respectively.　TWS　exerts　as　the　dominant　contributor　in　the　Y　(66.4　per　cent)　and　Z　(67.9　per　cent)　components,　while　ATM　and　OCN　each　contribute　less　than　49　per　cent　to　all　components.　Further　analysis　indicates　that　ATM,　OCN　and　TWS　exhibit　varying　lag　relationships　with　GCM　in　the　X　and　Z　components,　while　TWS　demonstrates　a　notably　stronger　correlation　with　GCM　in　the　Y　component.　Importantly,　an　approximately　120-d　periodic　signal　identified　in　GCM　is,　for　the　first　time,　linked　to　global　precipitation　variability,　providing　a　novel　geophysical　interpretation.　These　findings　enhance　our　understanding　of　climate-driven　geophysical　mass　redistribution　and　offer　new　insights　into　the　processes　governing　seasonal　GCM　variations.