**3. Datasets and Methods**

**3. Datasets and Methods**  *3.1. In Situ Meteorological Measurements*

*3.1. In Situ Meteorological Measurements*  In situ measurements of meteorological data from three observation stations were obtained from the China Meteorological Administration. Ground measurements of precipitation from nine rain gauge stations and the measured daily streamflow from the hy-In situ measurements of meteorological data from three observation stations were obtained from the China Meteorological Administration. Ground measurements of precipitation from nine rain gauge stations and the measured daily streamflow from the hydrological station at the outlet of the Fengle watershed were obtained from the Hefei Bureau of hydrology and water resources (Figure 1). In terms of gridded meteorologi-

drological station at the outlet of the Fengle watershed were obtained from the Hefei Bu-

cipitation data, the numbers of grid cells are 8, 4, 9, 9, and 55 for CMADS, CFSR, TRMM,

cal/precipitation data, the numbers of grid cells are 8, 4, 9, 9, and 55 for CMADS, CFSR, TRMM, CMORPH, and CHIRPS, respectively. After a rigorous analysis of available data, the simulation period was set as 2008–2014.

#### *3.2. The CFSR and CMADS Meteorological Data*

CFSR is the third-generation reanalysis product of the National Center for Environmental Prediction (NCEP) and was derived from a global coupled atmosphere–ocean–land surface–sea ice system [10]. The system provides a range of atmospheric, oceanic, and land surface output products around the world at hourly time resolution. The spatial resolution of CFSR global atmospheric products is ~38 km, with 64 levels extending from the surface to 0.26 hPa. The CFSR data covers the period from 1979 to the present with continuous updates. It is popularized by the SWAT official website that provides ready-to-use weather data in the desired format at the data portal http://globalweather.tamu.edu (accessed on 16 May 2020).

The CMADS meteorological dataset was constructed based on nearly 40,000 regional automatic stations and the CMORPH global precipitation products [39]. These solid data sources make CMADS have wide applicability in China. A variety of methods, such as loop nesting of data, projection of resampling models, and bilinear interpolation, were used. The CMADS provides daily data for a 9-year period from 2008 to 2016 with a spatial resolution of 0.25◦ for version 1.1, which can be freely downloaded at http://westdc.westgis.ac.cn (accessed on 16 May 2020). CMADS version 1.1 was used in this study. The locations of the center points of CFSR and CMADS grid cells are shown in Figure 1.
