Predicting the weather: A partnership of observation scientists and forecasters

  • Paul Joe
  • , Jenny Sun
  • , Nusrat Yussouf
  • , Steve Goodman
  • , Michael Riemer
  • , Krishna Chandra Gouda
  • , Brian Golding
  • , Robert Rogers
  • , George Isaac
  • , Jim Wilson
  • , Ping Wah Peter Li
  • , Volker Wulfmeyer
  • , Kim Elmore
  • , Jeanette Onvlee
  • , Pei Chong
  • , James Ladue

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

11 Scopus citations

Abstract

Weather forecasts are the foundation of much of the information needed in the warnings we have been considering. To be useful, they require knowledge of the current atmospheric state as a starting point. In this chapter, we first look at the methods used to predict the weather and the resulting demands for observations. Then, we explore the wide variety of sensors and platforms used to obtain this information. There has been a long history of close working between sensor and platform designers and meteorologists that has produced spectacular advances in forecast accuracy. However, the latest high-resolution models require new approaches to obtaining observations that will require different collaborations. Examples are presented of partnerships in space observing and in aviation, a demonstration system from Canada, and the use of testbeds and observatories as environments for progress.

Original languageEnglish
Title of host publicationTowards the "Perfect" Weather Warning
Subtitle of host publicationBridging Disciplinary Gaps through Partnership and Communication
PublisherSpringer International Publishing
Pages201-254
Number of pages54
ISBN (Electronic)9783030989897
ISBN (Print)9783030989880
DOIs
StatePublished - Jun 20 2022
Externally publishedYes

Keywords

  • Evaluation
  • Lidar
  • Nowcasting
  • Numerical Weather Prediction
  • Observing platform
  • Radar
  • Satellite
  • Sensor
  • Third-party data

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