Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

npj Climate and Atmospheric Science
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. npj climate and atmospheric science
  3. articles
  4. article
Divergent mountain runoff dynamics but declining per capita freshwater availability across the Third Pole by mid-21st century
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 07 January 2026

Divergent mountain runoff dynamics but declining per capita freshwater availability across the Third Pole by mid-21st century

  • Lei Wang1,2,
  • Junshui Long1,2,
  • Deliang Chen3,
  • Ning Li1,
  • Xiuping Li1 &
  • …
  • Tandong Yao1,2 

npj Climate and Atmospheric Science , Article number:  (2026) Cite this article

  • 862 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Climate sciences
  • Environmental sciences
  • Hydrology
  • Limnology
  • Water resources

Abstract

The mountainous Third Pole is a critical source of freshwater for water resource management across Asia, yet the historical and future dynamics of per-capita freshwater supply in this region remain poorly constrained by observations from a coherent, pan-regional perspective. Here, we show that by the end of the 21st century, mountain runoff in the Third Pole’s monsoon domain will increase substantially, whereas runoff in the westerlies domain will experience a non-significant decline. This finding challenges the prevailing paradigm that future runoff across the entire Third Pole will follow a unidirectional increasing trend as future precipitation. Regarding long-term freshwater availability till the end-of-21-century (1960‒2100), although mountain runoff shows a contrasting pattern with increase (decrease) at first and then decrease (increase) in the westerlies (monsoon) domain, the per-capita freshwater supply (for mountain basins and their downstream dependent regions) drops a lot in both westerlies and monsoon domains from the past (1960‒1970) to the near future (2030‒2050) due to rapid population increase. These findings provide vital information to cope with fast-growing water demands and achieve Sustainable Development Goals.

Similar content being viewed by others

Acceleration of diverging runoff trends on the Third Pole

Article Open access 17 November 2025

Development of a multidecadal land reanalysis over High Mountain Asia

Article Open access 27 July 2024

Diagnosing challenges and setting priorities for sustainable water resource management under climate change

Article Open access 17 January 2022

Data availability

The glacier datasets are available at https://www.glims.org/RGI. The ISIMIP3b data are available at https://data.isimip.org/. The historical and future population data are available at https://doi.org/10.7927/q7z9-9r69. Runoff observations are available from the hard copy of Chinese Hydrological Data Yearbook (that can be found National Library of China), Department of Hydrology and Meteorology in Nepal (DHM; http://dhm.gov.np), Pakistan Water & Power Development Authority (WAPDA; https://www.wapda.gov.pk), the Scientific-Information Center of the Interstate Commission for Water Coordination in Central Asia (http://isepei.org/organization/sic-icwc), as well as the Global Runoff Data Center (https://grdc.bafg.de).

References

  1. Yao, T. et al. Recent Third Pole’s rapid warming accompanies cryospheric melt and water cycle intensification and interactions between monsoon and environment: multidisciplinary approach with observations, modeling, and analysis. Bull. Am. Meteorol. Soc. 100, 423–444 (2019).

    Google Scholar 

  2. Immerzeel, W. W. et al. Importance and vulnerability of the world’s water towers. Nature 577, 364–369 (2020).

    Google Scholar 

  3. Pritchard, H. D. Asia’s shrinking glaciers protect large populations from drought stress. Nature 569, 649–654 (2019).

    Google Scholar 

  4. Wang, L. et al. TP-River: monitoring and quantifying total river runoff from the third pole. Bull. Am. Meteorol. Soc. 102, E948–E965 (2021).

    Google Scholar 

  5. Wang, T. et al. Permafrost thawing puts the frozen carbon at risk over the Tibetan Plateau. Sci. Adv. 6, eaaz3513 (2020).

    Google Scholar 

  6. Li, D. et al. Exceptional increases in fluvial sediment fluxes in a warmer and wetter High Mountain Asia. Science 374, 599–603 (2021).

    Google Scholar 

  7. Yao, T. et al. The imbalance of the Asian water tower. Nat. Rev. Earth Environ. 3, 618–632 (2022).

    Google Scholar 

  8. Pepin, N. et al. Elevation-dependent warming in mountain regions of the world. Nat. Clim. Change 5, 424–430 (2015).

    Google Scholar 

  9. Bhattacharya, A. et al. High Mountain Asian glacier response to climate revealed by multi-temporal satellite observations since the 1960s. Nat. Commun. 12, 4133 (2021).

    Google Scholar 

  10. Khanal, S. et al. Variable 21st century climate change response for rivers in high mountain Asia at seasonal to decadal time scales. Water Resour. Res. 57, e2020WR029266 (2021).

  11. Cui, T. et al. Non-monotonic changes in Asian Water Towers’ streamflow at increasing warming levels. Nat. Commun. 14, 1176 (2023).

    Google Scholar 

  12. Long, J. et al. Hydrological projections in the third pole using artificial intelligence and an observation-constrained cryosphere-hydrology model. Earth’s. Future 12, e2023EF004222 (2024).

    Google Scholar 

  13. Lutz, A. F., Immerzeel, W. W., Shrestha, A. B. & Bierkens, M. F. P. Consistent increase in High Asia’s runoff due to increasing glacier melt and precipitation. Nat. Clim. Change 4, 587–592 (2014).

    Google Scholar 

  14. Su, F. et al. Hydrological response to future climate changes for the major upstream river basins in the Tibetan Plateau. Glob. Planet. Change 136, 82–95 (2016).

    Google Scholar 

  15. Zhao, Q. et al. Projecting climate change impacts on hydrological processes on the Tibetan Plateau with model calibration against the glacier inventory data and observed streamflow. J. Hydrol. 573, 60–81 (2019).

    Google Scholar 

  16. Qi, W. et al. Divergent and changing importance of glaciers and snow as natural water reservoirs in the eastern and southern Tibetan Plateau. J. Geophys. Res. Atmos. 127, e2021JD035888 (2022).

  17. Jiang, J. et al. Precipitation regime changes in High Mountain Asia driven by cleaner air. Nature 623, 544–549 (2023).

  18. Su, F. et al. Contrasting fate of Western Third Pole’s water resources under 21st century climate change. Earth’s. Future 10, e2022EF002776 (2022).

    Google Scholar 

  19. Hassan, M. et al. Projected climate regime over Pakistan and its implications for hydrology in the Hunza River Basin using CMIP6 GCMs. Clim. Dyn. 63, 285 (2025).

    Google Scholar 

  20. Latif, Y. & Palus, M. Causal information flow and information transfer delay from ENSO and IOD to precipitation variability in the Upper Indus Basin, Pakistan. EGU Gen. Assem. https://doi.org/10.5194/egusphere-egu24-12884 (2024).

  21. CIESIN (Center for International Earth Science Information Network, C. U. Global Population Count Grid Time Series Estimates https://doi.org/10.7927/H4CC0XNV (2017).

  22. Gao, J. Downscaling Global Spatial Population Projections from 1/8-Degree to 1-km Grid Cells. 1105 (National Center for Atmospheric Research, 2017).

  23. Jones, B., B. C. O'Neill & Gao, J. Global 1-km downscaled population base year and projection grids based on the shared socioeconomic pathways, revision 01. NASA Socioeconomic Data and Applications Center (SEDAC) https://doi.org/10.7927/Q7Z9-9R69 (2020).

  24. Muhammad, S. & Thapa, A. Daily Terra–Aqua MODIS cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019. Earth Syst. Sci. Data 13, 767–776 (2021).

    Google Scholar 

  25. Latif, Y., Fan, K., Wang, G. & Paluš, M. Cross-scale causal information flow from the El Niño–Southern Oscillation to precipitation in eastern China. Earth Syst. Dynam. 15, 1509–1526 (2024).

    Google Scholar 

  26. Huang, J., Su, F., Yao, T. & Sun, H. Runoff regime, change, and attribution in the upper Syr Darya and Amu Darya, Central Asia. J. Hydrometeorol. 23, 1563–1585 (2022).

    Google Scholar 

  27. Hou, M. et al. Streamflow composition and the contradicting impacts of anthropogenic activities and climatic change on streamflow in the Amu Darya Basin, Central Asia. J. Hydrometeorol. 24, 185–201 (2023).

    Google Scholar 

  28. Consortium, R. Randolph glacier inventory—a dataset of global glacier outlines, version 6 https://doi.org/10.7265/4m1f-gd79 (2017).

  29. Rounce, D. R., Hock, R. & Shean, D. E. Glacier Mass Change in high mountain Asia through 2100 using the open-source Python glacier evolution model (PyGEM). Front. Earth Sci. 7:331 https://doi.org/10.3389/feart.2019.00331 (2020).

  30. Warszawski, L. et al. The inter-sectoral impact model intercomparison project (ISI–MIP): project framework. Proc. Natl. Acad. Sci. USA 111, 3228–3232 (2014).

    Google Scholar 

  31. Lange, S. & Büchner, M. ISIMIP3b bias-adjusted atmospheric climate input data (v1. 1). ISIMIP Repos. https://doi.org/10.48364/ISIMIP.842396.1 (2021).

    Google Scholar 

  32. Hay, L. E., Wilby, R. L. & Leavesley, G. H. A comparison of delta change and downscaled gcm scenarios for three mountainous basins in the United States. JAWRA J. Am. Water Resour. Assoc. 36, 387–397 (2000).

    Google Scholar 

  33. Muñoz-Sabater, J. et al. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth Syst. Sci. Data 13, 4349–4383 (2021).

    Google Scholar 

  34. Lehner, B., Verdin, K. & Jarvis, A. New global hydrography derived from spaceborne elevation data. Eos Trans. Am. Geophys. Union 89, 93–94 (2008).

    Google Scholar 

  35. Brun, F., Berthier, E., Wagnon, P., Kääb, A. & Treichler, D. A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nat. Geosci. 10, 668–673 (2017).

    Google Scholar 

  36. Bolibar, J. et al. Deep learning applied to glacier evolution modelling. Cryosphere 14, 565–584 (2020).

    Google Scholar 

  37. Wang, X., Gao, B. & Wang, X.-S. Investigating the ability of deep learning on actual evapotranspiration estimation in the scarcely observed region. J. Hydrol. 607, 127506 (2022).

    Google Scholar 

  38. Kratzert, F. et al. Toward improved predictions in ungauged basins: exploiting the power of machine learning. Water Resour. Res. 55, 11344–11354 (2019).

    Google Scholar 

  39. Hochreiter, S. & Schmidhuber, J. Long short-term memory. Neural Comput. 9, 1735–1780 (1997).

    Google Scholar 

  40. Nash, J. E. & Sutcliffe, J. V. River flow forecasting through conceptual models part I—a discussion of principles. J. Hydrol. 10, 282–290 (1970).

    Google Scholar 

Download references

Acknowledgements

This research was supported by the Second Tibetan Plateau Scientific Expedition and Research Program (2024QZKK0400), the National Key R&D Program of China (2024YFF0808602), and Tsinghua University (100008001).

Author information

Authors and Affiliations

  1. State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China

    Lei Wang, Junshui Long, Ning Li, Xiuping Li & Tandong Yao

  2. University of Chinese Academy of Sciences, Beijing, China

    Lei Wang, Junshui Long & Tandong Yao

  3. Department of Earth System Science, Tsinghua University, Beijing, China

    Deliang Chen

Authors
  1. Lei Wang
    View author publications

    Search author on:PubMed Google Scholar

  2. Junshui Long
    View author publications

    Search author on:PubMed Google Scholar

  3. Deliang Chen
    View author publications

    Search author on:PubMed Google Scholar

  4. Ning Li
    View author publications

    Search author on:PubMed Google Scholar

  5. Xiuping Li
    View author publications

    Search author on:PubMed Google Scholar

  6. Tandong Yao
    View author publications

    Search author on:PubMed Google Scholar

Contributions

L.W. designed the study and drafted the manuscript. L.W. and J.L. performed the data analysis. D.C., N.L., X.L., and T.Y. reviewed and contributed to the final form of the study.

Corresponding author

Correspondence to Lei Wang.

Ethics declarations

Competing interests

Author L.W. is Associate Editor and D.C. is Editorial Board Member of npj Climate and Atmospheric Science. Both L.W. and D.C. were not involved in the journal’s review of, or decisions related to, this manuscript.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplement.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, L., Long, J., Chen, D. et al. Divergent mountain runoff dynamics but declining per capita freshwater availability across the Third Pole by mid-21st century. npj Clim Atmos Sci (2026). https://doi.org/10.1038/s41612-025-01313-4

Download citation

  • Received: 22 October 2025

  • Accepted: 22 December 2025

  • Published: 07 January 2026

  • DOI: https://doi.org/10.1038/s41612-025-01313-4

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on Twitter
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Content types
  • Journal Information
  • About the Editors
  • Open Access
  • Contact
  • Calls for Papers
  • Article Processing Charges
  • Editorial policies
  • Journal Metrics
  • About the Partner

Publish with us

  • For Authors and Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

npj Climate and Atmospheric Science (npj Clim Atmos Sci)

ISSN 2397-3722 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene