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
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Total article views: 3,223 (including HTML, PDF, and XML)
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2,501
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BibTeX: 105
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Total article views: 4,299 (including HTML, PDF, and XML)
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Total article views: 3,223 (including HTML, PDF, and XML)
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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)....
