Articles | Volume 14, issue 4
Data description paper
02 May 2022
Data description paper |  | 02 May 2022

Development of East Asia Regional Reanalysis based on advanced hybrid gain data assimilation method and evaluation with E3DVAR, ERA-5, and ERA-Interim reanalysis

Eun-Gyeong Yang, Hyun Mee Kim, and Dae-Hui Kim

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Cited articles

Ashrit, R., Indira Rani, S., Kumar, S., Karunasagar, S., Arulalan, T., Francis, T., Routray, A., Laskar, S. I., Mahmood, S., Jermey, P., Maycock, A., Renshaw, R., George, J. P., and Rajagopal, E. N.: IMDAA Regional Reanalysis: Performance Evaluation During Indian Summer Monsoon Season, J. Geophys. Res.-Atmos., 125, e2019JD030973,, 2020. 
Bonavita, M., Hamrud, M., and Isaksen, L.: EnKF and hybrid gain ensemble data assimilation. Part II: EnKF and hybrid gain results, Mon. Weather Rev., 143, 4865–4882,, 2015. 
Borsche, M., Kaiser-Weiss, A. K., Undén, P., and Kaspar, F.: Methodologies to characterize uncertainties in regional reanalyses, Adv. Sci. Res., 12, 207–218,, 2015. 
Bosilovich, M.: NASA's modern era retrospective-analysis for research and applications: Integrating Earth observations, Earthzine, (last access: 17 March 2022​​​​​​​), 2008. 
Bosilovich, M., Lucchesi, R., and Suarez, M.: MERRA-2: File specification, NASA GMAO Office Note No. 9 (Version 1.1), NASA GMAO, GMAO NASA Goddard Space Flight Center, US, 73 pp., (last access: 17 March 2022), 2015. 
Short summary
The East Asia Regional Reanalysis (EARR) system is developed based on the advanced hybrid gain data assimilation method (AdvHG) using the Weather Research and Forecasting (WRF) model and conventional observations. Based on EARR, high-resolution regional reanalysis and reforecast fields are produced with 12 km horizontal resolution over East Asia for the period 2010–2019. Compared to ERA5, EARR represents precipitation better for January and July 2017 over East Asia.
Final-revised paper