Fourth Symposium on Multiscale Predictability: Data-Model Integration and Uncertainty Quantification for Weather, Climate and Earth System Monitoring and Prediction

Abstract Submissions

Abstracts were due on August 8, 2019.

Abstract Fee and Author Instructions

Call for Papers

Papers are solicited on the following topics:

  • Intrinsic and practical predictability of severe local storms and tropical cyclones;
  • Intrinsic and practical predictability of weather and climate from seasonal-to-intraseasonal (S2S) to inter-annual time scales;
  • Intrinsic and practical predictability of climate and climate change at the decadal, multi-decadal, centennial time scales and beyond;
  • Observational perspectives on weather and climate predictability: observational needs, observing system design, and observation impacts;
  • Modeling perspective on weather and climate predictability: model resolution, dynamical core and physics requirements, data-model integration.

Joint Sessions

Papers are solicited on the following joint session:

  • Intrinsic and practical predictability of global weather prediction: Progress and challenges in observations, modeling and data assimilation (Joint between the Fifth Symposium on US-International Partnerships and the Fourth Symposium on Multiscale Predictability: Data-model Integration and Uncertainty Quantification for Climate and Earth System Monitoring and Prediction).

Conference Contact(s)

For additional information, please contact the program chairs: Graeme Stephens (Graeme.Stephens@jpl.nasa.gov) and Kerry Emanuel (emanuel@mit.edu).