East Asia Reanalysis System (EARS)

Reanalysis data plays a vital role in weather and climate study, as well as meteorological resource development and application. In this work, the East Asia Reanalysis System (EARS) was developed using the Weather Research and Forecasting (WRF) model and the Gridpoint Statistical Interpolations (GSI) data assimilation system. The regional reanalysis system is forced by the European Centre of Medium-Range Weather Forecasts (ECMWF) global reanalysis EAR-Interim data at 6-h intervals; and hourly surface observations are assimilated by the WRF Four-Dimension Data Assimilation (FDDA) scheme during the model integration; upper observations are assimilated in 3D-VAR mode at analysis moment. The reanalysis runs from 1980 to 2018, producing a regional reanalysis dataset covering East Asia and surrounding areas at 12-km horizontal resolution, 74 sigma levels, and 3-hour intervals. Compared to the global reanalysis data of the EAR-Interim, EARS are closer to the observations in both near-surface and upper-level fields. The present study provides evidence for substantial improvements seen in EARS compared to the ERA-Interim reanalysis fields over East Asia. Domain: covering a large domain of an area of 10,800 km x 9,120 km (with 900 x 760 grid points). (left bottom corner 61.6E, 10.3S, right bottom 138.3E, 10.3S, right top 138.3E, 10.3S, and left top 2.51E, 50.8N) The database format is GRIB version 1 and the total volume of the data files is 54.6 TB. The GRIB files are hosted at http://data.cma.cn/ as their total volume exceeds the volume that could be provided by Zenodo. Required files can therefore be downloaded from this location.This study is jointly supported by the National Key Research and Development Program of China (2017YFC1501800), Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (2019QZKK010402), National Natural Science Foundation of China (42075083 and 42192554), and National Department Public Benefit Research Foundation (GYHY201506002)