Articles | Volume 26, issue 17
https://doi.org/10.5194/hess-26-4587-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-26-4587-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset
Yaozhi Jiang
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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Cited
11 citations as recorded by crossref.
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian 10.5194/hess-28-669-2024
- Understanding the Asian water tower requires a redesigned precipitation observation strategy C. Miao et al. 10.1073/pnas.2403557121
- Observed changes in the climate and snow dynamics of the Third Pole J. Kuttippurath et al. 10.1038/s41612-024-00710-5
- TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1∕30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations Y. Jiang et al. 10.5194/essd-15-621-2023
- Relationships between Precipitation and Elevation in the Southeastern Tibetan Plateau during the Active Phase of the Indian Monsoon L. Luo et al. 10.3390/w16182700
- Quantifying the snowfall variations in the Third Pole region from 1980 to 2020 T. Yang et al. 10.1016/j.atmosres.2023.106985
- Simulation of Runoff through Improved Precipitation: The Case of Yamzho Yumco Lake in the Tibetan Plateau H. Tang et al. 10.3390/w15030490
- Different maximum precipitation altitudes and precipitation gradient characteristics of different basins in the Third Pole region L. Wang et al. 10.1016/j.jhydrol.2023.130343
- The spatiotemporal variability in precipitation gradients based on meteorological station observations in mountainous areas of Northwest China X. Zhang et al. 10.1007/s00704-023-04618-7
- Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France V. Dura et al. 10.5194/hess-28-2579-2024
11 citations as recorded by crossref.
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian 10.5194/hess-28-669-2024
- Understanding the Asian water tower requires a redesigned precipitation observation strategy C. Miao et al. 10.1073/pnas.2403557121
- Observed changes in the climate and snow dynamics of the Third Pole J. Kuttippurath et al. 10.1038/s41612-024-00710-5
- TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1∕30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations Y. Jiang et al. 10.5194/essd-15-621-2023
- Relationships between Precipitation and Elevation in the Southeastern Tibetan Plateau during the Active Phase of the Indian Monsoon L. Luo et al. 10.3390/w16182700
- Quantifying the snowfall variations in the Third Pole region from 1980 to 2020 T. Yang et al. 10.1016/j.atmosres.2023.106985
- Simulation of Runoff through Improved Precipitation: The Case of Yamzho Yumco Lake in the Tibetan Plateau H. Tang et al. 10.3390/w15030490
- Different maximum precipitation altitudes and precipitation gradient characteristics of different basins in the Third Pole region L. Wang et al. 10.1016/j.jhydrol.2023.130343
- The spatiotemporal variability in precipitation gradients based on meteorological station observations in mountainous areas of Northwest China X. Zhang et al. 10.1007/s00704-023-04618-7
- Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France V. Dura et al. 10.5194/hess-28-2579-2024
Latest update: 20 Jan 2025
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.
Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP)....