Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing, China
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing, China
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing, China
Hua Yang
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing, China
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing, China
Yingying Chen
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing, China
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing, China
Jing Sun
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing, China
Yuan Yang
Institute of Science and Technology, China Three Gorges
Corporation, Beijing, China
Yan Wang
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Science and Natural Resources Research, Chinese Academy of
Sciences, Beijing, China
Viewed
Total article views: 4,227 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,176
957
94
4,227
255
112
119
HTML: 3,176
PDF: 957
XML: 94
Total: 4,227
Supplement: 255
BibTeX: 112
EndNote: 119
Views and downloads (calculated since 17 Mar 2022)
Cumulative views and downloads
(calculated since 17 Mar 2022)
Total article views: 3,167 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,463
634
70
3,167
141
101
108
HTML: 2,463
PDF: 634
XML: 70
Total: 3,167
Supplement: 141
BibTeX: 101
EndNote: 108
Views and downloads (calculated since 14 Sep 2022)
Cumulative views and downloads
(calculated since 14 Sep 2022)
Total article views: 1,060 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
713
323
24
1,060
114
11
11
HTML: 713
PDF: 323
XML: 24
Total: 1,060
Supplement: 114
BibTeX: 11
EndNote: 11
Views and downloads (calculated since 17 Mar 2022)
Cumulative views and downloads
(calculated since 17 Mar 2022)
Viewed (geographical distribution)
Total article views: 4,227 (including HTML, PDF, and XML)
Thereof 4,046 with geography defined
and 181 with unknown origin.
Total article views: 3,167 (including HTML, PDF, and XML)
Thereof 3,044 with geography defined
and 123 with unknown origin.
Total article views: 1,060 (including HTML, PDF, and XML)
Thereof 1,002 with geography defined
and 58 with unknown origin.
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.
Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP)....
