## 2 Materials and Methods
### Data Sources and Pre-Processing
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Data Name** & \multicolumn{1}{c}{**Source**} & \multicolumn{1}{c}{**Time Range**} & \multicolumn{1}{c}{**Time Resolution**} & \multicolumn{1}{c}{**Spatial Resolution**} & \multicolumn{1}{c}{**Note**} \\ \hline Snow depth (snd) & TPDC China Snow Depth Long Time Series Dataset & 1981–2020 & Daily & 0.25\({}^{\circ}\) (about 20 km) & Cropped from China-wide data (missing data for Qinghai–Tibet South) \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 30 August 2022) & & & & \\ \hline NDVI & GIMS NDVlg & 1981–2020 & Half-monthly & 0.03\({}^{\circ}\) (about 4 km) & Cropped from world scale, data are monthly max NDVI, converted by Julian calendar \\ \hline \multirow{3}{*}{Temperatures (tem)} & TPDC China 1 km resolution monthly temperature dataset (1901–2020) & 1981–2020 & Monthly & 0.0083\({}^{\circ}\) (about 1 km) & Cropped from China-wide data \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 April 2023) & & & & \\ \hline \multirow{3}{*}{Precipitation (pre)} & TPDC China 1 km resolution monthly temperature dataset (1901–2020) & 1981–2020 & Monthly & 0.0083\({}^{\circ}\) (about 1 km) & Cropped from China-wide data \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 April 2023) & & & & \\ \hline \multirow{3}{*}{Solar radiation (rad)} & High-resolution (10 km) surface solar radiation dataset for regional fused health hours in China (1983–2017) & 1983–2017 & Monthly & 0.083\({}^{\circ}\) (about 10 km) & The data are corrected by the actual data from the meteorological stations and cropped from China-wide data \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 April 2023) & & & & \\ \hline QIT border (vector) & Integration dataset of Tibet Platen boundary & 2019 & — & — & Use of parts within China \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 October 2020) & & & & \\ \hline \multirow{3}{*}{Vegotation map for QIT} & A new vegetation map for QIT by integrated & 2020 & — & 0.0083\({}^{\circ}\) (about 1 km) & — \\  & classification from multi-source data products (2020) & & & & \\ \hline \multirow{3}{*}{Solar radiation (rad)} & High-resolution (10 km) surface solar radiation dataset for regional fused health hours in China (1983–2017) & 1983–2017 & Monthly & 0.083\({}^{\circ}\) (about 10 km) & The data are corrected by the actual data from the meteorological stations and cropped from China-wide data \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 April 2023) & & & & \\ \hline \multirow{3}{*}{QIT border (vector)} & Integration dataset of Tibet Platen boundary & 2019 & — & — & Use of parts within China \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 10 October 2020) & & & & \\ \hline \multirow{3}{*}{Vegotation map for QIT} & A new vegetation map for QIT by integrated & 2020 & — & 0.0083\({}^{\circ}\) (about 1 km) & — \\  & classification from multi-source data products (2020) & & & & \\ \hline \multirow{3}{*}{Vegotation map for QIT} & A new vegetation map for QIT by integrated & 2020 & — & 0.0083\({}^{\circ}\) (about 1 km) & — \\  & classification from multi-source data products (2020) & & & & \\ \hline \multirow{3}{*}{Vegotation map for QIT} & A new vegetation map for QIT by integrated & 2020 & — & 0.0083\({}^{\circ}\) (about 1 km) & — \\  & ([[http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)]([http://data.tpdc.ac.cn](http://data.tpdc.ac.cn)), accessed on 15 March 2023) & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Data sources.