The capability of hydrologic models to spatially simulate the changes in hydrologic processes, like precipitation, is an important consideration in capturing the impacts of these processes on sediment prediction across the domain. Radar-derived precipitation (RDP) provides an enhanced detail of rainfall characteristics in time and space compared to estimates from rain-gauge precipitation (RGP) commonly used in hydrologic modeling. However, the impacts of these datasets on sediment fate and transport depend on how sediment sources were conceptualized in the model. This paper developed a modeling framework to simulate sediment transport from upland to the stream and to the outlet of the watershed based on a gridded conceptualization and to examine the impacts of RGP and RDP with different types of sediment sources on sediment prediction. The Water Erosion Prediction Project (WEPP) model was used to estimate daily sediment sources in a semi-distributed and fully distributed manner using the hydrologic model, MIKE SHE and MIKE 11. Model comparison was performed in a watershed in Illinois characterized by a dominant agricultural landscape. The results indicated that the use of RDP only ensured better model performance for sediment yield with the fully distributed sediment source. That is, combining both the ability of the RDP to capture the spatial variability of rainfall across the watershed and assessing sediment production at higher resolution improved the accuracy of predictions in sediment yield while decreasing uncertainties associated with sediment simulations. Advancing modeling capabilities will require the development of new modeling platforms that aim to seamlessly integrate large-scale distributed simulations and environmental input data at finer spatial resolutions.

水文模型在空间上模拟水文过程变化（如降水）的能力是捕获这些过程对整个领域沉积物预测影响的重要考虑因素。与通常在水文模型中使用的雨量计降水（RGP）估算值相比，雷达估算的降水（RDP）可以在时间和空间上提供更多的降雨特征细节。但是，这些数据集对沉积物命运和运移的影响取决于模型中沉积物来源的概念。本文建立了一个建模框架，以网格化概念为基础，模拟了从高地到河流和流域出口的泥沙输送，并研究了RGP和RDP以及不同类型泥沙源对泥沙预测的影响。水蚀预测项目（WEPP）模型用于通过水文模型MIKE SHE和MIKE 11以半分布式和全分布式方式估算每日沉积物来源。模型比较是在伊利诺伊州以农业为主的流域进行的。景观。结果表明，RDP的使用只能确保在沉积物源完全分布的情况下更好地模拟沉积物产量。就是说，将RDP捕获流域降雨的空间变异性的能力与以更高的分辨率评估沉积物产量的能力相结合，可以提高沉积物产量预测的准确性，同时减少与沉积物模拟相关的不确定性。