The Reanalysis for the Global Ensemble Forecast System, Version 12

Autor: Hong Guan, Philip Pegion, Eric Sinsky, John S. Woollen, Sherrie Fredrick, Anna Shlyaeva, Vijay Tallapragada, Thomas M. Hamill, Jeffrey S. Whitaker, Xiaqiong Zhou, Gary T. Bates, Yuejian Zhu
Rok vydání: 2022
Předmět:
Zdroj: Monthly Weather Review. 150:59-79
ISSN: 1520-0493
0027-0644
Popis: 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 +35-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 short-term 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.
Databáze: OpenAIRE
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