Articles | Volume 26, issue 17
Research article
14 Sep 2022
Research article |  | 14 Sep 2022

Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset

Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang

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Cited articles

Andermann, C., Bonnet, S., and Gloaguen, R.: Evaluation of precipitation data sets along the Himalayan front, Geochem. Geophy. Geosy., 12, Q07023,, 2011. 
Basist, A., Bell, G. D., and Meentemeyer, V.: Statistical Relationships between Topography and Precipitation Patterns, J. Climate, 7, 1305–1315,<1305:SRBTAP>2.0.CO;2, 1994. 
Bookhagen, B. and Burbank, D. W.: Topography, relief, and TRMM-derived rainfall variations along the Himalaya, Geophys. Res. Lett., 33, L08405,, 2006. 
Chen, H., Yuan, W., Li, J., and Yu, R.: A possible cause for different diurnal variations of warm season rainfall as shown in station observations and TRMM 3B42 data over the southeastern Tibetan plateau, Adv. Atmos. Sci., 29, 193–200,, 2012. 
Chen, R., Han, C., Liu, J., Yang, Y., Liu, Z., Wang, L., and Kang, E.: Maximum precipitation altitude on the northern flank of the Qilian Mountains, northwest China, Hydrol. Res., 49, 1696–1710,, 2018. 
Short summary
Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.