The Reanalysis for the Global Ensemble Forecast System, Version 12

Thomas M. Hamill, Jeffrey S. Whitaker, Anna Shlyaeva, Gary Bates, Sherrie Fredrick, Philip Pegion, Eric Sinsky, Yuejian Zhu, Vijay Tallapragada, Hong Guan, Xiaqiong Zhou, Jack Woollen

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

NOAA has created a global reanalysis dataset, intended primarily for initialization of reforecasts for its Global Ensemble Forecast System, version 12 (GEFSv12), which provides ensemble forecasts out to 135-days lead time. The reanalysis covers the period 2000-19. It assimilates most of the observations that were assimilated into the operational data assimilation system used for initializing global predictions. These include a variety of conventional data, infrared and microwave radiances, global positioning system radio occultations, and more. The reanalysis quality is generally superior to that from NOAA's previous-generation Climate Forecast System Reanalysis (CFSR), demonstrated in the fit of shortterm forecasts to the observations and in the skill of 5-day deterministic forecasts initialized from CFSR versus GEFSv12. Skills of reforecasts initialized from the new reanalyses are similar but slightly lower than skills initialized from a preoperational version of the real-time data assimilation system conducted at the higher, operational resolution. Control member reanalysis data on vertical pressure levels are made publicly available.

Original languageEnglish
Pages (from-to)59-79
Number of pages21
JournalMonthly Weather Review
Volume150
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Data assimilation
  • Ensembles
  • Reanalysis data
  • Variational analysis

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