The thesis delves into an extensive analysis of the accuracy of position estimations through the utilization of Klobuchar model and BeiDou model corrections across varying time scales, encompassing daily, monthly, and seasonal fluctuations in 2015. We utilized gLAB as a tool to extract the position estimation with different corrections. The observation and navigation files of GPS observed over Bahir Dar, Ethiopia in 2015 have been used as input parameters for the execution of gLAB software. Notably, the Klobuchar model consistently exhibited superior performance compared to BeiDou model corrections on a daily basis, showcasing its enhanced ability to predict and adjust positional data accurately. This finding underscores the BeiDou model's precision and reliability in real-time positioning applications. Monthly assessments further reinforced the model's dominance in x, y, and z positioning estimations over GPS, yet the observed fluctuations in error rates from month to month suggest the influence of seasonal or environmental factors on the accuracy of these estimations. Factors such as solar activity, geomagnetic storms, and ionospheric variations were identified as key contributors to these fluctuations, emphasizing the necessity for vigilant monitoring and adjustments to ensure the precision of position calculations over extended periods. Moreover, the examination of seasonal position estimations revealed discernible trends in error rates, with peaks during equinoxes and reductions during solstices. Throughout these seasonal variations, the Klobuchar model consistently outperformed BeiDou model corrections, indicating its robust performance across different environmental conditions and time frames. The correlation between positioning errors and phenomena like neutral wind dynamics and ion accumulation dynamics further underscores the intricate interplay between environmental variables and positioning accuracy. The thesis accentuates the critical importance of acknowledging and accommodating the dynamic nature of position estimation accuracy across daily, monthly, and seasonal time scales. It highlights the complex interdependencies among ionospheric dynamics, geomagnetic activities, and environmental variables in shaping the reliability of positioning technologies. By recognizing the Klobuchar model‟s consistent superiority in providing accurate estimations, the research underscores its potential to enhance the precision and dependability of satellite-based positioning systems. Continued exploration and research into these dynamic factors are deemed essential for the advancement of satellite navigation technologies and the refinement of position estimation methodologies in diverse and challenging environmental settings. This emphasis on ongoing investigation aims to deepen our understanding of satellite-based navigation systems, ultimately leading to improved accuracy and reliability in location determination processes across a variety of real-world scenarios