Climate　change　is　worsening　existing　vulnerabilities　in　developing　countries　such　as　Yemen.　This　study　examined　the　spatial　distribution　trends　of　extreme　climate　indices　defined　by　ETCCDI　(Expert　Team　on　Climate　Change　Detection　and　Indices),　for　precipitation　and　temperature,　from　1988　to　2021.　It　employed　both　the　classical　Mann-Kendall　(MK)　test　as　well　as　its　modified　(MMK)　version　that　accounts　for　long-term　persistence　in　hydroclimatic　time　series,　that　could　otherwise　impact　the　significance　of　the　identified　trends.　It　represents　the　first　country-level　investigation　of　climate　extremes　in　Yemen　using　ERA5　reanalysis　data　to　overcome　the　limitations　of　station　data.　Results　found　widespread　increases　in　temperature　indices,　indicating　significant　warming　nationwide.　Minimum　temperatures　amplified　more　than　maximums,　particularly　TNn　(the　minimum　of　the　minimum　temperature),　with　an　increasing　trend　of　more　than　0.7degree　celsius　per　decade.　Inland　cities　exhibited　more　substantial　warming　than　coastal　cities.　Precipitation　trends　displayed　higher　spatial　variability,　with　intensity　indices　declining　across　most　areas,　raising　drought　concerns.　However,　Socotra　Island　presents　an　exception,　with　increased　precipitation　intensity　and　heightened　flood　risks.　Furthermore,　spatial　heterogeneity　in　precipitation　indices　underscored　Yemen＇s　complex　terrain.　Fewer　trends　were　significant　when　applying　the　MMK　test　versus　MK,　confirming　the　impact　of　climate　variability　over　the　region.　This　research　identifies　the　most　climate-vulnerable　regions　to　prioritise　focused　adaptation　actions.　Adaptation　strategies　are　urgently　needed,　including　efficient　irrigation,　flood　assessments　for　Socotra　Island,　and　investigation　of　projected　climate　changes　and　their　implications　under　diverse　topographic　and　climatic　influences.