East Asia Reanalysis System (EARS)

Abstract. Reanalysis data play a vital role in weather and climate study as well meteorological resource development application. In this work, the East Asia System (EARS) was developed using Weather Research Forecasting (WRF) model Gridpoint Statistical Interpolations (GSI) assimilation system. The regional reanalysis system is forced by European Centre for Medium-Range Forecasts (ECMWF) global ERA-Interim at 6 h intervals. Hourly surface observations are assimilated Four-Dimension Data Assimilation (FDDA) scheme during WRF integration; upper three-dimensional variational (3D-VAR) mode analysis moment. It should be highlighted that many of have not been used other systems. runs from 1980 to 2018, producing dataset covering surrounding areas 12 km horizontal resolution, 74 sigma levels, 3 Finally, an evaluation EARS has performed with respect root mean square error (RMSE), based on 10-year (2008–2017) observational data. Compared ERA-Interim, closer terms RMSE both upper-level fields. present provides evidence substantial improvements seen compared fields over Asia. also demonstrates potential use applications proposes further plans provide latest real-time operation mode. Simple updated information available Zenodo https://doi.org/10.5281/zenodo.7404918 (Yin et al., 2022), full datasets publicly accessible Data-as-a-Service platform China Meteorological Administration (CMA) http://data.cma.cn (last access: 19 May 2023).