All-sky daily mean ambient air temperature datasets at 1-km resolution from 2013-2022 in China

<ul> <li>All-sky daily maximum, minimum, and mean ambient air temperature datasets at 1-km resolution over two decades (2003-2022) in China have been generated by the four-dimensional spatiotemporal deep forest (4D-STDF) model. The overall RMSE values for estimates are 1.49&deg;C, 1.53&deg;C, and 1.18&deg;C.</li> <li>These datasets cover mainland China, featuring high spatial resolution (1km), long temporal sequences (2003-2022), and increased accuracy. They are presented in GeoTIFF format with WGS84 projection, with data measured in 0.1 degrees Celsius (&deg;C).</li> <li>These datasets have divided for six parts to upload Zenodo, the links as follow:</li> </ul> <ol> <li>Daily Tmax from the years 2003-2012:&nbsp;<a href="https://doi.org/10.5281/zenodo.10983219">https://doi.org/10.5281/zenodo.10983219</a>,</li> <li>Daily Tmax from the years 2013-2022: <a href="https://doi.org/10.5281/zenodo.10983207">https://doi.org/10.5281/zenodo.10983207</a>,</li> <li>Daily Tmin from the years 2003-2012:&nbsp;<a href="https://doi.org/10.5281/zenodo.10951765">https://doi.org/10.5281/zenodo.10951765</a>,</li> <li>Daily Tmin from the years 2013-2022:&nbsp;<a href="https://doi.org/10.5281/zenodo.10983199">https://doi.org/10.5281/zenodo.10983199</a>,</li> <li>Daily Tmean from the years 2003-2012:&nbsp;<a href="https://doi.org/10.5281/zenodo.10947354">https://doi.org/10.5281/zenodo.10947354</a>,</li> <li>Daily Tmean from the years 2013-2022:&nbsp;<a href="https://doi.org/10.5281/zenodo.10983177">https://doi.org/10.5281/zenodo.10983177.</a></li> </ol> <ul> <li>This dataset is daily Tmean from 2013-2022 (<a href="https://doi.org/10.5281/zenodo.10983177">https://doi.org/10.5281/zenodo.10983177</a>).</li> </ul>