Advancing Weather and Climate Forecasting for Our Changing World

Gilbert Brunet, David B. Parsons, Dimitar Ivanov, Boram Lee, Peter Bauer, Natacha B. Bernier, Veronique Bouchet, Andy Brown, Antonio Busalacchi, Georgina Campbell Flatter, Rei Goffer, Paul Davies, Beth Ebert, Karl Gutbrod, Songyou Hong, P. K. Kenabatho, Hans Joachim Koppert, David Lesolle, Amanda H. Lynch, Jean François MahfoufLaban Ogallo, Tim Palmer, Kevin Petty, Dennis Schulze, Theodore G. Shepherd, Thomas F. Stocker, Alan Thorpe, Rucong Yu

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Our world is rapidly changing. Societies are facing an increase in the frequency and intensity of high-impact and extreme weather and climate events. These extremes together with exponential population growth and demographic shifts (e.g., urbanization, increase in coastal populations) are increasing the detrimental societal and economic impact of hazardous weather and climate events. Urbanization and our changing global economy have also increased the need for accurate projections of climate change and improved predictions of disruptive and potentially beneficial weather events on kilometer scales. Technological innovations are also leading to an evolving and growing role of the private sector in the weather and climate enterprise. This article discusses the challenges faced in accelerating advances in weather and climate forecasting and proposes a vision for key actions needed across the private, public, and academic sectors. Actions span (i) utilizing the new observational and computing ecosystems; (ii) strategies to advance Earth system models; (iii) ways to benefit from the growing role of artificial intelligence; (iv) practices to improve the communication of forecast information and decision support in our age of internet and social media; and (v) addressing the need to reduce the relatively large, detrimental impacts of weather and climate on all nations and especially on low-income nations. These actions will be based on a model of improved cooperation between the public, private, and academic sectors. This article represents a concise summary of the white paper on the Future of Weather and Climate Forecasting (2021) put together by the World Meteorological Organizations’ Open Consultative Platform.

Original languageEnglish
Pages (from-to)E909-E927
JournalBulletin of the American Meteorological Society
Volume104
Issue number4
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • Artificial intelligence
  • Climate prediction
  • Nowcasting
  • Numerical weather prediction/forecasting
  • Operational forecasting
  • Seasonal forecasting

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