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

60 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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