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September 30, 2025Monthly Weather Review

Investigating the impact of rapid cycling in a global data assimilation system

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Authors

LSLaura SlivinskiCooperative Institute for Research in Environmental SciencesJWJeffrey S. WhitakerNational Oceanic and Atmospheric Administration

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Overview

Experiments with hybrid 4DEnVar improve forecast skill in global data assimilation systems, suggesting benefits of hourly cycling.

Key Points

  • Hourly cycling improves forecast skill for certain variables and regions, enhancing predictive accuracy.
  • Ensemble mean forecasts from hourly-cycled fields outperform those from traditional 6-hourly-cycled fields.
  • Dense, accurate observations significantly influence the effectiveness of the hourly cycling system.
  • Kinetic energy spectra reveal that hourly cycling retains more energy at synoptic and sub-synoptic scales.

Cite This Study

Slivinski et al. (2025) studied this question.

synapsesocial.com/papers/68dc12cc8a7d58c25ebb0cbchttps://doi.org/10.1175/mwr-d-25-0097.1
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