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

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

doi:https://doi.org/10.5194/essd-14-2109-2022

Articles | Volume 14, issue 4

https://doi.org/10.5194/essd-14-2109-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-2109-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

East Asia Regional Reanalysis 6 hourly data on pressure levels from 2010 to 2019 Eun-Gyeong Yang and Hyun Mee Kim https://doi.org/10.7910/DVN/7P8MZT

East Asia Regional Reanalysis 6 hourly precipitation data from 2010 to 2019 Eun-Gyeong Yang and Hyun Mee Kim https://doi.org/10.7910/DVN/Q07VRC

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.