Recently increased concerns and potential consequences of the limitation in gauge measurements in Africa have heightened the availability of high Spatio-temporal satellite-based rainfall data for various applications. In contemporary times, there are efforts to develop modeling tools that would aid water resource management to minimize socio-economic losses. However, these models depend on the reliability of inputs, such as high-quality rainfall data at a highly resolved spatio-temporal scale, hence the importance of this study. The present study assessed the abilities of gauge only and satellite-gauge blended rainfall products to replicate the rainfall patterns concerning observations at thirty (30) rain gauge stations in Ghana. Besides, the study focuses on rainfall characteristics that are vital to the agricultural and hydrological sectors in the region. These include an assessment of the skill of satellite rainfall products to represent observed extreme rainfall indices. The analysis shows that all the rainfall products were able to replicate the seasonal rainfall patterns in both the northern and southern parts of the country. The GPCC V7 and CHIRPS V2 have exhibited the best skills at representing these rainfall patterns compared to TRMM 3B42 and CMORPH. Satellite products that blend thermal infrared and passive microwave tend to perform better than IR-only or PM-only products. We observed that both gauge and satellite-based rainfall products generally overestimate low-intensity rainfall and underestimate high rainfall intensity in the region. Also, satellite-based rainfall products are weak in the coasts of the country though CHIRPS represents rainfall patterns on the eastern coast considerably well (correlation of 0.77). The analysis showed that TRMM 3B42 has a dry bias, while CMORPH has a wet bias compared to CHIRPs. Therefore, one can use TRMM 3B42 and CMORPH for drought and flood analysis respectively in a conservative approach. However, CHIRPS is useful for analysis of all extremes events.

近来，非洲仪表测量限制的担忧和潜在后果增加了针对各种应用的高时空卫星降雨数据的可用性。在当代，人们正在努力开发建模工具，以帮助水资源管理以最大程度地减少社会经济损失。但是，这些模型取决于输入的可靠性，例如在高度解析的时空范围内的高质量降雨数据，因此，本研究的重要性。本研究评估了仅仪表和卫星仪表混合降雨产品复制加纳三十（30）个雨量计观测站的降雨模式的能力。除了，该研究的重点是对本地区农业和水文部门至关重要的降雨特征。其中包括评估卫星降雨产品代表观测到的极端降雨指数的技能。分析表明，所有降雨产品都能复制该国北部和南部的季节性降雨模式。与TRMM 3B42和CMORPH相比，GPCC V7和CHIRPS V2在表现这些降雨模式方面表现出最好的技巧。混合了热红外和无源微波的卫星产品的性能往往优于仅IR或仅PM的产品。我们观察到，基于轨距和基于卫星的降雨产品通常高估了该地区的低强度降雨，而低估了该地区的高降雨强度。也，尽管CHIRPS很好地代表了东部沿海的降雨模式（相关系数为0.77），但该国沿海的卫星降雨产品仍然较弱。分析表明，与CHIRPs相比，TRMM 3B42具有干偏差，而CMORPH具有湿偏差。因此，可以采用保守方法分别使用TRMM 3B42和CMORPH进行干旱和洪水分析。但是，CHIRPS可用于分析所有极端事件。