The　Yellow　River　basin　of　China　has　experienced　significant　land　use　and　land　cover　change　(LUCC)　due　to　excessive　exploitation　of　nature　resources,　ecological　degradation,　and　rapid　urbanization,　which　plays　an　important　role　in　the　regional　climate.　It　is　crucial　to　explore　the　climate　patterns　of　the　basin　under　different　future　development　scenarios　to　mitigate　climate　issues　and　achieve　＂carbon　peaking　and　carbon　neutrality　goals　＂.　Here　we　utilized　land　use　and　land　cover　(LULC)　data　and　projections　of　future　climate　under　two　shared　socioeconomic　path　-　representative　concentration　path　(SSP245　and　SSP585)　scenarios.　Using　the　Weather　Research　and　Forecasting　(WRF)　model,　we　simulated　four　future　spatial　variation　patterns　of　temperature　and　precipitation　in　the　basin.　Results　indicated　that　under　the　SSP245　and　SSP585　scenarios,　the　temperature　is　projected　to　increase　by　0.18　degrees　C　and　0.46　degrees　C,　respectively,　while　precipitation　is　expected　to　rise　by　32.21　mm　and　134.24　mm,　respectively.　The　impact　of　LUCC　was　found　to　be　relatively　minor　and　mainly　concentrated　in　the　middle　reaches　of　the　basin.　It　resulted　in　a　slight　increase　in　temperature　in　both　scenarios　and　an　increase　in　precipitation　in　SSP245,　but　a　decrease　in　precipitation　in　SSP585.　Changes　in　farmland　and　urban　area　exhibited　a　certain　warming　effect　in　both　scenarios,　with　urban　areas　having　a　greater　influence,　leading　to　a　temperature　increase　by　0.25　degrees　C　and　0.28　degrees　C,　respectively.　Forest,　grassland,　and　bare　areas　had　a　lesser　impact　on　temperature　and　showed　different　trends　under　two　scenarios.　Regarding　precipitation,　forests　and　urban　areas　had　a　greater　influence　in　both　SSP245　and　SSP585　scenarios.　This　study　identified　the　significant　role　of　LUCC　under　different　development　scenarios　in　shaping　future　temperature　and　precipitation　changes,　providing　valuable　insights　for　effectively　addressing　climate　issues　in　the　Yellow　River　basin.　It　also　highlights　the　need　for　clear　policy　recommendations　and　identifies　institutions　or　agencies　responsible　for　implementing　such　recommendations.