IDEAS home Printed from https://ideas.repec.org/a/wly/envmet/v34y2023i2ne2749.html
   My bibliography  Save this article

Data science and climate risk analytics

Author

Listed:
  • Stephan R. Sain

Abstract

With influences from different communities, data science has evolved to provide insights in many different data‐driven environments, including climate science. In this article, a brief review of data science and its connection to climate science will be presented. Additionally, two data science pipelines for quantifying risks from climate change are discussed. These pipelines focus on flooding due to tropical cyclone storm surge and changes in the distribution of temperature or precipitation or wind due to climate change via downscaling climate models. Finally, some key data science research areas in climate risk analytics are discussed.

Suggested Citation

  • Stephan R. Sain, 2023. "Data science and climate risk analytics," Environmetrics, John Wiley & Sons, Ltd., vol. 34(2), March.
    • Handle: RePEc:wly:envmet:v:34:y:2023:i:2:n:e2749
    DOI: 10.1002/env.2749
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/env.2749
    Download Restriction: no
    File URL: https://libkey.io/10.1002/env.2749?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. William S. Cleveland, 2001. "Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics," International Statistical Review, International Statistical Institute, vol. 69(1), pages 21-26, April.
    2. Tanya Fiedler & Andy J. Pitman & Kate Mackenzie & Nick Wood & Christian Jakob & Sarah E. Perkins-Kirkpatrick, 2021. "Business risk and the emergence of climate analytics," Nature Climate Change, Nature, vol. 11(2), pages 87-94, February.
    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. Wesley S. Burr & Nathaniel K. Newlands & Andrew Zammit‐Mangion, 2023. "Environmental data science: Part 2," Environmetrics, John Wiley & Sons, Ltd., vol. 34(2), March.

    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. Patrycja Klusak & Matthew Agarwala & Matt Burke & Moritz Kraemer & Kamiar Mohaddes, 2023. "Rising Temperatures, Falling Ratings: The Effect of Climate Change on Sovereign Creditworthiness," Management Science, INFORMS, vol. 69(12), pages 7468-7491, December.
    2. Situngkir, Hokky, 2015. "Indonesia embraces the Data Science," MPRA Paper 66048, University Library of Munich, Germany.
    3. Yang, Xin & Wei, Luohan & Deng, Rantian & Cao, Jie & Huang, Chuangxia, 2023. "Can climate-related risks increase audit fees?–Evidence from China," Finance Research Letters, Elsevier, vol. 57(C).
    4. Costa, Carlos & Santos, Maribel Yasmina, 2017. "The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age," International Journal of Information Management, Elsevier, vol. 37(6), pages 726-734.
    5. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
    6. 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.
    7. Nils Hachmeister & Katharina Weiß & Juliane Theiß & Reinhold Decker, 2021. "Balancing Plurality and Educational Essence: Higher Education Between Data-Competent Professionals and Data Self-Empowered Citizens," Data, MDPI, vol. 6(2), pages 1-15, January.
    8. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    9. Hassani, Hossein & Beneki, Christina & Silva, Emmanuel Sirimal & Vandeput, Nicolas & Madsen, Dag Øivind, 2021. "The science of statistics versus data science: What is the future?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. Göran Kauermann & Helmut Küchenhoff, 2016. "Statistik, Data Science und Big Data [Statistics, data science, and big data]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 141-150, October.
    11. Marina Baldissera Pacchetti & Suraje Dessai & David A. Stainforth & Seamus Bradley, 2021. "Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018," Climatic Change, Springer, vol. 168(1), pages 1-25, September.
    12. Jennifer Lewis Priestley & Robert J. McGrath, 2019. "The Evolution of Data Science: A New Mode of Knowledge Production," International Journal of Knowledge Management (IJKM), IGI Global, vol. 15(2), pages 97-109, April.
    13. Alberto Arribas & Ross Fairgrieve & Trevor Dhu & Juliet Bell & Rosalind Cornforth & Geoff Gooley & Chris J. Hilson & Amy Luers & Theodore G. Shepherd & Roger Street & Nick Wood, 2022. "Climate risk assessment needs urgent improvement," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    14. Kirtika Deo & Abhnil Amtesh Prasad, 2022. "Exploring Climate Change Adaptation, Mitigation and Marketing Connections," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    15. Xueke Li & Scott R. Stephenson & Amanda H. Lynch & Michael A. Goldstein & David A. Bailey & Siri Veland, 2021. "Arctic shipping guidance from the CMIP6 ensemble on operational and infrastructural timescales," Climatic Change, Springer, vol. 167(1), pages 1-19, July.
    16. Robert Wilby & Xianfu Lu, 2022. "Tailoring climate information and services for adaptation actors with diverse capabilities," Climatic Change, Springer, vol. 174(3), pages 1-13, October.
    17. Mercy Berman DeMenno, 2023. "Environmental sustainability and financial stability: can macroprudential stress testing measure and mitigate climate-related systemic financial risk?," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(4), pages 445-473, December.
    18. Dunbar, Kwamie & Treku, Daniel & Sarnie, Robert & Hoover, Jack, 2023. "What does ESG risk premia tell us about mutual fund sustainability levels: A difference-in-differences analysis," Finance Research Letters, Elsevier, vol. 57(C).
    19. Zhang, Dongna & Dai, Xingyu & Wang, Qunwei & Lau, Chi Keung Marco, 2023. "Impacts of weather conditions on the US commodity markets systemic interdependence across multi-timescales," Energy Economics, Elsevier, vol. 123(C).
    20. Chia‐Chi Lee & Shih‐Yun Kuo & Huang‐Hsiung Hsu & Tung‐Li Mo & En‐Yu Chang & Kuan‐Chun Huang, 2023. "How does the research community contribute to corporate climate‐related risk disclosures? The gap between ideals and reality," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 927-940, March.

    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:wly:envmet:v:34:y:2023:i:2:n:e2749. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1180-4009/ .

    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.