IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v160y2020i3d10.1007_s10584-019-02640-1.html
   My bibliography  Save this article

Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming

Author

Listed:
  • Shoupeng Zhu

    (Nanjing University of Information Science & Technology
    Max Planck Institute for Meteorology)

  • Fei Ge

    (Chengdu University of Information Technology
    Max Planck Institute for Meteorology)

  • Yi Fan

    (Nanjing University of Information Science & Technology
    Institute of Atmospheric Physics, Chinese Academy of Sciences)

  • Ling Zhang

    (Nanjing University of Information Science & Technology)

  • Frank Sielmann

    (University of Hamburg)

  • Klaus Fraedrich

    (Max Planck Institute for Meteorology)

  • Xiefei Zhi

    (Nanjing University of Information Science & Technology)

Abstract

Guided by the Paris Agreement, the IPCC Special Report on Global Warming of 1.5 °C reported potential risks of climate change at different global warming levels (GWLs). To provide fundamental information on future temperature extremes over Southeast Asia (SEA), projected changes in temperature extreme indices are evaluated for different seasons at 1.5 °C and 2 °C GWLs against the historical reference period of 1976–2005 based on the ensemble of CORDEX simulations. Results show that the temperature indices increase significantly across the Indochina Peninsula and Maritime Continent at both GWLs except for decreasing daily temperature range (DTR) in the dry season, with more pronounced magnitudes at 2 °C GWL. Moreover, the regionally averaged ensemble medians of the indices show various changes over different subregions. At 1.5 °C and 2 °C GWLs, most pronounced increases of threshold indices. i.e. summer days (SU) and tropical nights (TR), are projected in Sumatra and Sulawesi for both wet and dry seasons. The warm spell duration (WSDI) increases generally, with strongest magnitudes for Sumatra and Sulawesi (Philippines and Sulawesi) in the wet (dry) season. On the other hand, significant increases of warm days and nights can also be observed at 2 °C GWL compared to 1.5 °C, particularly in the dry season, suggesting the high sensitivity of temperature extremes over the SEA. The projected potentially conspicuous temperature extremes under global warming of 1.5 °C and 2 °C primarily concentrate on the densely populated coastal regions of the main islands, showing the necessity of restricting global warming to 1.5 °C aiming at the eradication and reduction of regional climate stress for the human system in the developing countries over the SEA.

Suggested Citation

  • Shoupeng Zhu & Fei Ge & Yi Fan & Ling Zhang & Frank Sielmann & Klaus Fraedrich & Xiefei Zhi, 2020. "Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming," Climatic Change, Springer, vol. 160(3), pages 343-360, June.
  • Handle: RePEc:spr:climat:v:160:y:2020:i:3:d:10.1007_s10584-019-02640-1
    DOI: 10.1007/s10584-019-02640-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-019-02640-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-019-02640-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shang-Ping Xie & Clara Deser & Gabriel A. Vecchi & Matthew Collins & Thomas L. Delworth & Alex Hall & Ed Hawkins & Nathaniel C. Johnson & Christophe Cassou & Alessandra Giannini & Masahiro Watanabe, 2015. "Towards predictive understanding of regional climate change," Nature Climate Change, Nature, vol. 5(10), pages 921-930, October.
    2. Christoph Schär & Pier Luigi Vidale & Daniel Lüthi & Christoph Frei & Christian Häberli & Mark A. Liniger & Christof Appenzeller, 2004. "The role of increasing temperature variability in European summer heatwaves," Nature, Nature, vol. 427(6972), pages 332-336, January.
    3. Flavio Lehner & Clara Deser & Benjamin M. Sanderson, 2018. "Future risk of record-breaking summer temperatures and its mitigation," Climatic Change, Springer, vol. 146(3), pages 363-375, February.
    4. Douglas Maraun & Theodore G. Shepherd & Martin Widmann & Giuseppe Zappa & Daniel Walton & José M. Gutiérrez & Stefan Hagemann & Ingo Richter & Pedro M. M. Soares & Alex Hall & Linda O. Mearns, 2017. "Towards process-informed bias correction of climate change simulations," Nature Climate Change, Nature, vol. 7(11), pages 764-773, November.
    5. Carl-Friedrich Schleussner & Peter Pfleiderer & Erich M. Fischer, 2017. "In the observational record half a degree matters," Nature Climate Change, Nature, vol. 7(7), pages 460-462, July.
    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. Inga Dailidienė & Inesa Servaitė & Remigijus Dailidė & Erika Vasiliauskienė & Lolita Rapolienė & Ramūnas Povilanskas & Donatas Valiukas, 2023. "Increasing Trends of Heat Waves and Tropical Nights in Coastal Regions (The Case Study of Lithuania Seaside Cities)," Sustainability, MDPI, vol. 15(19), pages 1-21, September.
    2. T. Hlásny & J. Holuša & P. Štěpánek & M. Turčáni & N. Polčák, 2011. "Expected impacts of climate change on forests: Czech Republic as a case study," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 57(10), pages 422-431.
    3. Wu, X.D. & Ji, Xi & Li, Chaohui & Xia, X.H. & Chen, G.Q., 2019. "Water footprint of thermal power in China: Implications from the high amount of industrial water use by plant infrastructure of coal-fired generation system," Energy Policy, Elsevier, vol. 132(C), pages 452-461.
    4. Alison Kay, 2022. "Differences in hydrological impacts using regional climate model and nested convection-permitting model data," Climatic Change, Springer, vol. 173(1), pages 1-19, July.
    5. Chen, Ping-Yu & Chen, Chi-Chung & Chang, Chia-Lin, 2011. "Multiple Threshold Effects for Temperature and Mortality," MPRA Paper 35521, University Library of Munich, Germany.
    6. M. Mortezapour & B. Menounos & P. L. Jackson & A. R. Erler, 2022. "Future Snow Changes over the Columbia Mountains, Canada, using a Distributed Snow Model," Climatic Change, Springer, vol. 172(1), pages 1-24, May.
    7. Luke J. Harrington & Carl-Friedrich Schleussner & Friederike E. L. Otto, 2021. "Quantifying uncertainty in aggregated climate change risk assessments," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    8. Fischer, Björn & Goldberg, Valeri & Bernhofer, Christian, 2008. "Effect of a coupled soil water–plant gas exchange on forest energy fluxes: Simulations with the coupled vegetation–boundary layer model HIRVAC," Ecological Modelling, Elsevier, vol. 214(2), pages 75-82.
    9. Michael Donadelli & Marcus Jüppner & Antonio Paradiso & Christian Schlag, 2021. "Computing Macro-Effects and Welfare Costs of Temperature Volatility: A Structural Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 347-394, August.
    10. Christine M. Albano & Maureen I. McCarthy & Michael D. Dettinger & Stephanie A. McAfee, 2021. "Techniques for constructing climate scenarios for stress test applications," Climatic Change, Springer, vol. 164(3), pages 1-25, February.
    11. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
    12. Fuhrer, Jurg & Beniston, Martin & Calanca, Pierluigi & Torriani, Daniele Simone, 2007. "Alternative Hedging Strategies in Maize Production to Cope with Climate Variability and Change," 101st Seminar, July 5-6, 2007, Berlin Germany 9275, European Association of Agricultural Economists.
    13. Alessandro Dosio & Christopher Lennard & Jonathan Spinoni, 2022. "Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations," Climatic Change, Springer, vol. 170(1), pages 1-24, January.
    14. L. V. Noto & G. Cipolla & D. Pumo & A. Francipane, 2023. "Climate Change in the Mediterranean Basin (Part II): A Review of Challenges and Uncertainties in Climate Change Modeling and Impact Analyses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2307-2323, May.
    15. Gabriele Lobaccaro & Juan Angel Acero & Gerardo Sanchez Martinez & Ales Padro & Txomin Laburu & German Fernandez, 2019. "Effects of Orientations, Aspect Ratios, Pavement Materials and Vegetation Elements on Thermal Stress inside Typical Urban Canyons," IJERPH, MDPI, vol. 16(19), pages 1-29, September.
    16. Stacey E. Alexeeff & Doug Nychka & Stephan R. Sain & Claudia Tebaldi, 2018. "Emulating mean patterns and variability of temperature across and within scenarios in anthropogenic climate change experiments," Climatic Change, Springer, vol. 146(3), pages 319-333, February.
    17. Berlemann, Michael & Eurich, Marina, 2021. "Natural hazard risk and life satisfaction – Empirical evidence for hurricanes," Ecological Economics, Elsevier, vol. 190(C).
    18. Pinheiro, Everton Alves Rodrigues & de Jong van Lier, Quirijn & Šimůnek, Jirka, 2019. "The role of soil hydraulic properties in crop water use efficiency: A process-based analysis for some Brazilian scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 364-377.
    19. Andrew C. Ross & Raymond G. Najjar, 2019. "Evaluation of methods for selecting climate models to simulate future hydrological change," Climatic Change, Springer, vol. 157(3), pages 407-428, December.
    20. Martin Mäll & Ryota Nakamura & Ülo Suursaar & Tomoya Shibayama, 2020. "Pseudo-climate modelling study on projected changes in extreme extratropical cyclones, storm waves and surges under CMIP5 multi-model ensemble: Baltic Sea perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(1), pages 67-99, May.

    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:spr:climat:v:160:y:2020:i:3:d:10.1007_s10584-019-02640-1. 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.springer.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.