Better　quantification　of　the　spatiotemporal　distribution　of　soil　moisture　across　different　spatial　scales　contributes　significantly　to　the　understanding　of　land　surface　processes　on　the　Earth　as　an　integrated　system.　While　observational　data　for　root-zone　soil　moisture　(RZSM)　often　have　sparse　spatial　coverage,　model-simulated　soil　moisture　may　provide　a　useful　alternative.　TOPMODEL-Based　Land　Surface-Atmosphere　Transfer　Scheme　(TOPLATS)　has　been　widely　studied　and　actively　modified　in　recent　years,　while　a　detailed　regional　application　with　evaluation　currently　is　still　lacking.　Thus,　TOPLATS　was　used　to　generate　high-resolution　(30　arc　s)　RZSM　based　on　coarse-scale　(0.125º)　forcing　data　over　part　of　the　Arkansas-Red　River　basin.　First,　the　simulated　RZSM　was　resampled　to　coarse　scale　to　compare　with　the　results　of　Mosaic,　Noah,　and　VIC　from　NLDAS.　Second,　TOPLATS　performance　was　assessed　based　on　the　spatial　absolute　difference　among　the　models.　The　comparison　shows　that　TOPLATS　performance　is　similar　to　VIC,　but　different　from　Mosaic　and　Noah.　Last,　the　simulated　RZSM　was　compared　with　in　situ　observations　of　16　stations　in　the　study　area.　The　results　suggest　that　the　simulated　spatial　distribution　of　RZSM　is　largely　consistent　with　the　distribution　of　topographic　index　(TI)　in　most　instances,　as　topography　was　traditionally　considered　a　major,　but　not　the　only,　factor　in　horizontal　redistribution　of　soil　moisture.　In　addition,　the　finer-resolution　RZSM　can　reflect　the　in　situ　soil　moisture　change　at　most　local　sites　to　a　certain　degree.　The　evaluation　confirms　that　TOPLATS　is　a　useful　tool　to　estimate　high-resolution　soil　moisture　and　has　great　potential　to　provide　regional　soil　moisture　estimates.　©　2018　American　Meteorological　Society.