IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i9d10.1007_s11269-020-02601-9.html
   My bibliography  Save this article

Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources

Author

Listed:
  • Getachew Tegegne

    (Florida International University)

  • Assefa M. Melesse

    (Florida International University)

Abstract

Projected changes in climatic extremes, compared to the mean climate, exhibit a greater negative impact on the natural environment. Several studies reported that multi-model ensemble approach can improve the reliability of hydro-climatic extreme projection by extracting important information from a large number of general circulation models (GCMs). However, most of the available multi-model assembling methods do not consider both the spatial and temporal variabilities. Thus, this study reflects both the spatial and temporal climate characteristics during multi-model averaging through the Taylor diagram skill metrics. The capability of the proposed multi-model assembling approach was evaluated for reproducing the multitude of climate extreme indices. Moreover, the reliability of a multi-model assembling approach was assessed for preserving the maximum variability of the GCMs output. In general, the results showed that multi-model assembling approach outperformed the individual climate models for reproducing the hydro-climatic extremes; however, it artificially corrupted and narrowed the projected climate extremes variability of the GCMs output. Thus, it is worthwhile to consider both the individual climate models and multi-model ensemble projections toward an improved projection of hydro-climatic extremes. In general, the study proved that the impacts of climate change on the hydro-climatic extremes are more amplified compared to the changes in mean climate. Hence, this study suggests that meaningful efforts should be put in the future to proactively manage the risks of climate extremes.

Suggested Citation

  • Getachew Tegegne & Assefa M. Melesse, 2020. "Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3019-3035, July.
  • Handle: RePEc:spr:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02601-9
    DOI: 10.1007/s11269-020-02601-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02601-9
    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/s11269-020-02601-9?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
    ---><---

    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. Ruqayah Mohammed & Miklas Scholz, 2019. "Climate Variability Impact on the Spatiotemporal Characteristics of Drought and Aridityin Arid and Semi-Arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 5015-5033, December.
    2. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    3. Marc Stéfanon & Nicolas Martin-StPaul & Paul Leadley & Sophie Bastin & Alessandro Dell’Aquila & Philippe Drobinski & Clemente Gallardo, 2015. "Testing climate models using an impact model: what are the advantages?," Climatic Change, Springer, vol. 131(4), pages 649-661, August.
    4. James M. Murphy & David M. H. Sexton & David N. Barnett & Gareth S. Jones & Mark J. Webb & Matthew Collins & David A. Stainforth, 2004. "Quantification of modelling uncertainties in a large ensemble of climate change simulations," Nature, Nature, vol. 430(7001), pages 768-772, August.
    5. Filippo Giorgi & Erika Coppola & Francesca Raffaele & Gulilat Diro & Ramon Fuentes-Franco & Graziano Giuliani & Ashu Mamgain & Marta Llopart & Laura Mariotti & Csaba Torma, 2014. "Changes in extremes and hydroclimatic regimes in the CREMA ensemble projections," Climatic Change, Springer, vol. 125(1), pages 39-51, July.
    6. Guiling Wang & Dagang Wang & Kevin E. Trenberth & Amir Erfanian & Miao Yu & Michael G. Bosilovich & Dana T. Parr, 2017. "The peak structure and future changes of the relationships between extreme precipitation and temperature," Nature Climate Change, Nature, vol. 7(4), pages 268-274, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Clara Estrela-Segrelles & Gabriel Gómez-Martínez & Miguel Ángel Pérez-Martín, 2023. "Climate Change Risks on Mediterranean River Ecosystems and Adaptation Measures (Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2757-2770, May.
    2. Conor Murphy & Anthony Kettle & Hadush Meresa & Saeed Golian & Michael Bruen & Fiachra O’Loughlin & Per-Erik Mellander, 2023. "Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 1841-1858, March.
    3. Martín Montenegro & Daniel Mendoza & Diego Mora & Fernando García & Alex Avilés, 2022. "Extreme Rainfall Variations Under Climate Change Scenarios. Case of Study in an Andean Tropical River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5931-5944, December.
    4. Morteza Pakdaman & Iman Babaeian & Zohreh Javanshiri & Yashar Falamarzi, 2022. "European Multi Model Ensemble (EMME): A New Approach for Monthly Forecast of Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 611-623, January.

    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. Ren, Jinfu & Liu, Yang & Liu, Jiming, 2023. "Chaotic behavior learning via information tracking," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    2. Ashenafi Yimam Kassaye & Guangcheng Shao & Xiaojun Wang & Shiqing Wu, 2021. "Quantification of drought severity change in Ethiopia during 1952–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5096-5121, April.
    3. Luong, Tuan Anh & Nguyen, Manh-Hung & Truong, N.T. Khuong & Le, Kien, 2023. "Rainfall variability and internal migration: The importance of agriculture linkage and gender inequality," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 326-336.
    4. Simon Gosling & Glenn McGregor & Jason Lowe, 2012. "The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates," Climatic Change, Springer, vol. 112(2), pages 217-231, May.
    5. Ulysse Pasquier & Yi He & Simon Hooton & Marisa Goulden & Kevin M. Hiscock, 2019. "An integrated 1D–2D hydraulic modelling approach to assess the sensitivity of a coastal region to compound flooding hazard under climate change," 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. 98(3), pages 915-937, September.
    6. Lingcheng Li & Liping Zhang & Jun Xia & Christopher Gippel & Renchao Wang & Sidong Zeng, 2015. "Implications of Modelled Climate and Land Cover Changes on Runoff in the Middle Route of the South to North Water Transfer Project in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2563-2579, June.
    7. Xiaoliang Shi & Fei Chen & Hao Ding & Mengqi Shi & Yi Li, 2022. "Assessing Vegetation Ecosystem Resistance to Drought in the Middle Reaches of the Yellow River Basin, China," IJERPH, MDPI, vol. 19(7), pages 1-16, March.
    8. A. Kay & R. Jones, 2012. "Comparison of the use of alternative UKCP09 products for modelling the impacts of climate change on flood frequency," Climatic Change, Springer, vol. 114(2), pages 211-230, September.
    9. Hu, Xinyu & Zhao, Jinfeng & Sun, Shikun & Jia, Chengru & Zhang, Fuyao & Ma, Yizhe & Wang, Kaixuan & Wang, Yubao, 2023. "Evaluation of the temporal reconstruction methods for MODIS-based continuous daily actual evapotranspiration estimation," Agricultural Water Management, Elsevier, vol. 275(C).
    10. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    11. Shahzada Adnan & Kalim Ullah, 2020. "Development of drought hazard index for vulnerability assessment in Pakistan," 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. 103(3), pages 2989-3010, September.
    12. Araneda-Cabrera, Ronnie J. & Bermúdez, María & Puertas, Jerónimo, 2021. "Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique," Agricultural Water Management, Elsevier, vol. 246(C).
    13. Corwin, D.L. & Scudiero, E. & Zaccaria, D., 2022. "Modified ECa – ECe protocols for mapping soil salinity under micro-irrigation," Agricultural Water Management, Elsevier, vol. 269(C).
    14. Simon Gosling & Jason Lowe & Glenn McGregor & Mark Pelling & Bruce Malamud, 2009. "Associations between elevated atmospheric temperature and human mortality: a critical review of the literature," Climatic Change, Springer, vol. 92(3), pages 299-341, February.
    15. baptiste perrissin fabert & Etienne Espagne & Antonin Pottier & Franck Nadaus, 2012. "Disentangling the Stern/Nordhaus controversy. Why and how do beliefs and modelling choices matter?," EcoMod2012 4270, EcoMod.
    16. Ludovic Gaudard & Jeannette Gabbi & Andreas Bauder & Franco Romerio, 2016. "Long-term Uncertainty of Hydropower Revenue Due to Climate Change and Electricity Prices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1325-1343, March.
    17. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    18. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," 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. 117(3), pages 2617-2646, July.
    19. Newton Muhury & Armando A. Apan & Tek N. Marasani & Gebiaw T. Ayele, 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning," Land, MDPI, vol. 11(12), pages 1-23, November.
    20. A. Lopez & E. Suckling & F. Otto & A. Lorenz & D. Rowlands & M. Allen, 2015. "Towards a typology for constrained climate model forecasts," Climatic Change, Springer, vol. 132(1), pages 15-29, September.

    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:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02601-9. 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.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.