An All-sky 1 km Daily Surface Air Temperature Product over Mainland China

<ul> <li>An all-sky daily mean surface air temperature (T_a) product at 1 km spatial resolution over mainland China for 2003&ndash;2019 has been generated mainly from the Moderate Resolution Imaging Spectroradiometer (MODIS) products and the Global Land Data Assimilation System (GLDAS) dataset. Three T_a estimation models based on random forest were trained using ground measurements from 2384 stations for three different clear-sky and cloudy-sky conditions. The validation results showed that R² and root mean square error (RMSE) values of the three models ranged from 0.984 to 0.986 and 1.342 K to 1.440 K, respectively, indicating that this high-resolution product has satisfactory&nbsp;accuracy.</li> <li>The format of the data is tif and a sample data is provided in example.zip. The dataset is stored by year, with 6 *.zip&nbsp;files&nbsp;per year.</li> <li>There is also an all-sky 0.01&deg; daily surface air temperature product over Beijing for 2003&ndash;2019&nbsp;(http://doi.org/10.5281/zenodo.4405123), which is a sub-dataset generated from this dataset for easy and convenient understanding of this dataset.&nbsp;And the sub-dataset has a data volume of only 264MB after compressed.</li> </ul>