IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39463-9.html
   My bibliography  Save this article

Climate-driven changes in the predictability of seasonal precipitation

Author

Listed:
  • Phong V. V. Le

    (Oak Ridge National Laboratory
    University of California
    University of Science, Vietnam National University)

  • James T. Randerson

    (University of California
    University of California)

  • Rebecca Willett

    (University of Chicago
    University of Chicago)

  • Stephen Wright

    (University of Wisconsin-Madison)

  • Padhraic Smyth

    (University of California
    University of California)

  • Clément Guilloteau

    (University of California)

  • Antonios Mamalakis

    (Colorado State University)

  • Efi Foufoula-Georgiou

    (University of California
    University of California)

Abstract

Climate-driven changes in precipitation amounts and their seasonal variability are expected in many continental-scale regions during the remainder of the 21st century. However, much less is known about future changes in the predictability of seasonal precipitation, an important earth system property relevant for climate adaptation. Here, on the basis of CMIP6 models that capture the present-day teleconnections between seasonal precipitation and previous-season sea surface temperature (SST), we show that climate change is expected to alter the SST-precipitation relationships and thus our ability to predict seasonal precipitation by 2100. Specifically, in the tropics, seasonal precipitation predictability from SSTs is projected to increase throughout the year, except the northern Amazonia during boreal winter. Concurrently, in the extra-tropics predictability is likely to increase in central Asia during boreal spring and winter. The altered predictability, together with enhanced interannual variability of seasonal precipitation, poses new opportunities and challenges for regional water management.

Suggested Citation

  • Phong V. V. Le & James T. Randerson & Rebecca Willett & Stephen Wright & Padhraic Smyth & Clément Guilloteau & Antonios Mamalakis & Efi Foufoula-Georgiou, 2023. "Climate-driven changes in the predictability of seasonal precipitation," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39463-9
    DOI: 10.1038/s41467-023-39463-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39463-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39463-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Antonios Mamalakis & Jin-Yi Yu & James T. Randerson & Amir AghaKouchak & Efi Foufoula-Georgiou, 2018. "A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    2. Eric D. Maloney & Ángel F. Adames & Hien X. Bui, 2019. "Madden–Julian oscillation changes under anthropogenic warming," Nature Climate Change, Nature, vol. 9(1), pages 26-33, January.
    3. Toshichika Iizumi & Hirofumi Sakuma & Masayuki Yokozawa & Jing-Jia Luo & Andrew J. Challinor & Molly E. Brown & Gen Sakurai & Toshio Yamagata, 2013. "Prediction of seasonal climate-induced variations in global food production," Nature Climate Change, Nature, vol. 3(10), pages 904-908, October.
    4. Francisco J. Doblas‐Reyes & Javier García‐Serrano & Fabian Lienert & Aida Pintó Biescas & Luis R. L. Rodrigues, 2013. "Seasonal climate predictability and forecasting: status and prospects," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 4(4), pages 245-268, July.
    5. Jingyuan Li & David W. J. Thompson, 2021. "Widespread changes in surface temperature persistence under climate change," Nature, Nature, vol. 599(7885), pages 425-430, November.
    6. Wenju Cai & Agus Santoso & Guojian Wang & Sang-Wook Yeh & Soon-Il An & Kim M. Cobb & Mat Collins & Eric Guilyardi & Fei-Fei Jin & Jong-Seong Kug & Matthieu Lengaigne & Michael J. McPhaden & Ken Takaha, 2015. "ENSO and greenhouse warming," Nature Climate Change, Nature, vol. 5(9), pages 849-859, September.
    7. Niklas Boers & Bedartha Goswami & Aljoscha Rheinwalt & Bodo Bookhagen & Brian Hoskins & Jürgen Kurths, 2019. "Complex networks reveal global pattern of extreme-rainfall teleconnections," Nature, Nature, vol. 566(7744), pages 373-377, February.
    8. Praveen Kumar, 2013. "Seasonal rain changes," Nature Climate Change, Nature, vol. 3(9), pages 783-784, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hosmay Lopez & Sang-Ki Lee & Dongmin Kim & Andrew T. Wittenberg & Sang-Wook Yeh, 2022. "Projections of faster onset and slower decay of El Niño in the 21st century," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    3. Kung, Chih-Chun & Wu, Tao, 2021. "Influence of water allocation on bioenergy production under climate change: A stochastic mathematical programming approach," Energy, Elsevier, vol. 231(C).
    4. Aguilar, Arturo & Vicarelli, Marta, 2022. "El Niño and children: Medium-term effects of early-life weather shocks on cognitive and health outcomes," World Development, Elsevier, vol. 150(C).
    5. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    6. Gary Froyland & Dimitrios Giannakis & Edoardo Luna & Joanna Slawinska, 2024. "Revealing trends and persistent cycles of non-autonomous systems with autonomous operator-theoretic techniques," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    7. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    8. Nick Dunstone & Doug M. Smith & Steven C. Hardiman & Paul Davies & Sarah Ineson & Shipra Jain & Chris Kent & Gill Martin & Adam A. Scaife, 2023. "Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    10. Weston Anderson & Shraddhanand Shukla & Jim Verdin & Andrew Hoell & Christina Justice & Brian Barker & Kimberly Slinski & Nathan Lenssen & Jiale Lou & Benjamin I. Cook & Amy McNally, 2024. "Preseason maize and wheat yield forecasts for early warning of crop failure," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Saeed Nosratabadi & Sina Ardabili & Zoltan Lakner & Csaba Mako & Amir Mosavi, 2021. "Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS," Papers 2104.14286, arXiv.org.
    12. Srinivasan, Venkatraman & Kumar, Praveen, 2015. "Emergent and divergent resilience behavior in catastrophic shift systems," Ecological Modelling, Elsevier, vol. 298(C), pages 87-105.
    13. Nico Wunderling & Frederik Wolf & Obbe A. Tuinenburg & Arie Staal, 2022. "Network motifs shape distinct functioning of Earth’s moisture recycling hubs," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    14. Hu, Yuntong & Xiao, Fuyuan, 2022. "A novel method for forecasting time series based on directed visibility graph and improved random walk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    15. Tao Geng & Wenju Cai & Lixin Wu & Agus Santoso & Guojian Wang & Zhao Jing & Bolan Gan & Yun Yang & Shujun Li & Shengpeng Wang & Zhaohui Chen & Michael J. McPhaden, 2022. "Emergence of changing Central-Pacific and Eastern-Pacific El Niño-Southern Oscillation in a warming climate," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    16. Nazan An & Mustafa Tufan Turp & Murat Türkeş & Mehmet Levent Kurnaz, 2020. "Mid-Term Impact of Climate Change on Hazelnut Yield," Agriculture, MDPI, vol. 10(5), pages 1-20, May.
    17. Anwar, Muhuddin Rajin & Liu, De Li & Farquharson, Robert & Macadam, Ian & Abadi, Amir & Finlayson, John & Wang, Bin & Ramilan, Thiagarajah, 2015. "Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia," Agricultural Systems, Elsevier, vol. 132(C), pages 133-144.
    18. Kung, Chih-Chun & Cao, Xiaoyong & Choi, Yongrok & Kung, Shan-Shan, 2019. "A stochastic analysis of cropland utilization and resource allocation under climate change," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    19. Zhang, Xiaogang & Ranjith, P.G. & Ranathunga, A.S., 2019. "Sub- and super-critical carbon dioxide flow variations in large high-rank coal specimen: An experimental study," Energy, Elsevier, vol. 181(C), pages 148-161.
    20. Junyao Zhang & Ning Yao & Yi Li & Feng Li & Bakhtiyor Pulatov, 2022. "Effects of Different Socioeconomic Development Levels on Extreme Precipitation Events in Mainland China," Sustainability, MDPI, vol. 14(22), pages 1-19, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39463-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.