Connecting weather and hazard: A partnership of physical scientists in connected disciplines

Brian Golding, Jenny Sun, Michael Riemer, Nusrat Yussouf, Helen Titley, Joanne Robbins, Beth Ebert, Tom Pagano, Huw Lewis, Claire Dashwood, Graeme Boyce, Mika Peace

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Achieving consistency in the prediction of the atmosphere and related environmental hazards requires careful design of forecasting systems. In this chapter, we identify the benefits of seamless approaches to hazard prediction and the challenges of achieving them in a multi-institution situation. We see that different modelling structures are adopted in different disciplines and that these often relate to the user requirements for those hazards. We then explore the abilities of weather prediction to meet the requirements of these different disciplines. We find that differences in requirement and language can be major challenges to seamless data processing and look at some ways in which these can be resolved. We conclude with examples of partnerships in flood forecasting in the UK and wildfire forecasting in Australia.

Original languageEnglish
Title of host publicationTowards the "Perfect" Weather Warning
Subtitle of host publicationBridging Disciplinary Gaps through Partnership and Communication
PublisherSpringer International Publishing
Pages149-200
Number of pages52
ISBN (Electronic)9783030989897
ISBN (Print)9783030989880
DOIs
StatePublished - Jun 20 2022
Externally publishedYes

Keywords

  • Cold
  • Coupled model
  • Evaluation
  • Fire
  • Flood
  • Forecaster
  • Heat
  • Hydrology
  • Ocean
  • Seamless
  • Winter

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