The Sub artic regions are becoming increasingly important due to the effects of climate change. In northern Sweden, thawing of permafrost has led to significant increases in annual minimum flows in several catchments. This has led to studies of groundwater flow, responses to precipitation and runoff, and subsurface connectivity of springs on slopes. However, there remains a limited understanding of the interplay between surface flow and subsurface flow in the hillslopes of subarctic region. There is a need to better understand the flow pathways and connectivity of groundwater flows within the slopes. This study aims to analyze the interactions between surface flow and subsurface flow on an Sub artic mountainside. Utilizing tracer experiments and a hydrological model, the complex dynamics governing water movement within this intricate system have been studied.  Tracer experiments affirmed the hydraulic connection between hillslope and spring. The spring's response to tracer injection hinted at dominant preferential flow paths within the regolith layer's base. Nonetheless, only 40% mass recovery raised queries about factors affecting the flow in the hillslope. Thus, in this project, a model was developed using Advanced Terrestrial Simulator (ATS) to examine the dominant flow processes and evaluate the influence of various hydrogeology parameters and fluid flow properties on tracer movement. The results highlight the dominance of subsurface flows occurring close to the surface. The parameter sensitivity analysis conducted in the study showed that roughness coefficient and permeability significantly influenced specific pathways and directions that water, and tracers took as they moved through the hillslope's subsurface layers and regolith.  However, the model has limitations, such as neglecting the lateral variations of the subsurface material, seasonal freeze-thaw processes and the simplified representation of the slope and catchment. The results of this study show the need for utilizing more field-based methodologies and further refinement of the modeling approach to improve our understanding of hydrologic processes in high latitude areas.