## 4 Conclusions  
This study demonstrated the usefulness of satellite-based and gauge-based gridded precipitation products for hydrologic modeling in the Huai Bang Sai (HBS) watershed in north-eastern Thailand. Nine different satellite-based precipitation products (SbPPs) and three different gauged-based precipitation products (GbGPPs) were used to drive the SWAT hydrologic model for the HBS watershed. Among the analysed SbPPs, 3B42 showed promising results in terms of the hydrologic utility for the SWAT model for future applications in water resources management. In addition, among the GbGPPs, APHRODITE_V1901 can be recommended to be used for various hydrological and climatological applications in the humid tropical regions of the world. However, the differences between RG data and other different precipitation products are clearly seen through the simulated streamflow. Nevertheless, the present study provides valuable insights for water resources planners for the estimation of ecological flows. Furthermore, and more interestingly if the irrigation scheduling rules of the small tanks in the northeast part of Thailand can be incorporated into hydrologic modeling results, the modeling results can be further improved.  
Through the results obtained by forcing different precipitation products into the SWAT hydrologic model, it was observed that the resolution of the product does not have a clear impact on the streamflow estimation accuracy. Hence, it can be decided that that the methods adopted in estimating precipitation in different precipitation products which will lead to accurate precipitation measurements ultimately had a clear role in hydrologic simulations. This study calls for improved hydrologic model results through bias-corrected algorithms, which can be applied for rainfall estimations. Therefore, the results of this study will be valuable for precipitation product developers to improve bias corrections in the tropical humid climates. It is expected that the evaluation and findings in this study can potentially provide useful information about SbPPs choices in terms of strengths and weaknesses and their applicability for the region. However, the application accuracy of SbPPs and GbGPPs is location specific.  
Conceptualization, M.B.G. and U.S.R.; methodology, M.B.G.; software, M.B.G., M.S.B., M.K.J. and J.T.S.; formal analysis, M.B.G., M.N.M.Z., T.P.A.; writing--original draft preparation, M.B.G.; writing--review and editing, J.T.S., P.K.B. and U.S.R.; visualization, M.B.G. and M.K.J.; supervision, U.S.R. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The climatic data used in this research study are available upon request for research purposes.  
**Acknowledgments:** The authors of this manuscript are grateful to all data provision government agencies of Thailand including the Royal Irrigation Department (RID), Thai Meteorological Department (TMD), Land Development Department (LDD) for allowing us to carry out the work successfully. They are also thankful to all SbPPs and GbGPPs communities for making the precipitation data freely available for the international research community.  
**Conflicts of Interest:** The authors declare no conflict of interest.