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<p>The stochastic weather generator CLIGEN can simulate long-term weather sequences as input to WEPP for erosion predictions. Its use, however, has been somewhat restricted by limited observations at high spatial–temporal resolutions. Long-term daily temperature, daily, and hourly precipitation data from 2405 stations and daily solar radiation from 130 stations distributed across mainland China were collected to develop the most critical set of site-specific parameter values for CLIGEN. Ordinary kriging (OK) and universal kriging (UK) with auxiliary covariables, i.e., longitude, latitude, elevation, and the mean annual rainfall, were used to interpolate parameter values into a <span class="inline-formula">10 km×10 km</span> grid, and the interpolation accuracy was evaluated based on the leave-one-out cross-validation. Results showed that UK generally outperformed OK. The root mean square error between UK-interpolated and observed temperature-related parameters was <span class="inline-formula">≤0.88</span> <span class="inline-formula">^∘</span>C (1.58 <span class="inline-formula">^∘</span>F). The Nash–Sutcliffe efficiency coefficient for precipitation- and solar-radiation-related parameters was <span class="inline-formula">≥0.87</span>, except for the skewness coefficient of daily precipitation, which was 0.78. In addition, CLIGEN-simulated daily weather sequences using UK-interpolated and observed parameters showed consistent statistics and frequency distributions. The mean absolute discrepancy between the two sequences for temperature was <span class="inline-formula">&lt;0.51</span> <span class="inline-formula">^∘</span>C, and the mean absolute relative discrepancy for solar radiation, precipitation amount, duration, and maximum 30 min intensity was <span class="inline-formula">&lt;5</span> % in terms of the mean and standard deviation. These CLIGEN parameter values at 10 km resolution would meet the minimum data requirements for WEPP application throughout mainland China. The dataset is available at <span class="uri">http://clicia.bnu.edu.cn/data/cligen.html</span> (last access: 20 May 2021) and <a href="https://doi.org/10.12275/bnu.clicia.CLIGEN.CN.gridinput.001">https://doi.org/10.12275/bnu.clicia.CLIGEN.CN.gridinput.001</a> (Wang et al., 2020).</p>