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The CMA Global Atmospheric Reanalysis Version 1.5 (CRA1.5)

  • Tao Zhang
  • , Zijiang Zhou
  • , Zhiquan Liu
  • , Chunxiang Shi
  • , Shuang Yao
  • , Lipeng Jiang
  • , Yan Yao
  • , Zhisen Zhang
  • , Xiao Liang
  • , Zhiqiang Zhang
  • , Junxia Gu
  • , Jie Liao
  • , Lijuan Cao
  • , Hui Jiang
  • , Huiying Wang
  • , Dongbin Zhang
  • , Zhe Chen
  • , Fang Yuan
  • , Qinglei Li
  • , Wenhui Xu
  • Lifan Chen, Yani Zhu, Chen Zhu, Shuai Deng, Yike Zhou, Shuai Sun
  • China Meteorological Administration
  • National Center for Atmospheric Research

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Atmospheric reanalysis is a process that utilizes numerical weather prediction (NWP) models and data assimilation systems to integrate historical meteorological observations, thereby reconstructing datasets that represent past atmospheric states. This paper presents the China Meteorological Administration’s (CMA) latest global atmospheric reanalysis product, CRA1.5, which employs the Global Spectral Model (GSM) and the Gridpoint Statistical Interpolation (GSI) Data Assimilation system. CRA1.5 features a model spectral resolution of TL1534 (equivalent to approximately 13 km in horizontal grid spacing), a product time interval of 1 h, a model top at 0.27 hPa, and a hybrid-4DEnVar scheme along with an Ensemble Kalman Filter for data assimilation. The temporal coverage of CRA1.5 extends from 1979 to near real-time. During the reanalysis production, we assimilated a substantial volume of reprocessed satellite data and extensive conventional observations. These observations include dense networks of conventional observations within China (comprising approximately 120 sounding stations and 2400 meteorological stations) as well as satellite observations from China’s Fengyun, Haiyang, and Yunyao satellite series. Compared to CRA-40, the root-mean-square error (RMSE) of geopotential height at 500 hPa is reduced by 22.46%, the RMSE of temperature at 200 hPa is reduced by 21.7%, and the RMSE of zonal wind at 850 hPa is reduced by 14.41%. CRA1.5 outperforms ERA5 in 100-m wind speed over China (RMSE: 3.21–3.36 m s−1 vs. 3.46–3.59 m s−1) and achieves comparable accuracy to ERA5 in atmospheric precipitable water (RMSE: 3.10 mm vs. 3.13 mm). CRA1.5’s 2-m temperature trend aligns closely with HadCRUT5, capturing global warming accurately. With higher spatiotemporal resolution (0.1° × 0.1°, hourly) and advanced assimilation, CRA1.5 provides a critical dataset for climate monitoring, NWP, and AI-based meteorological research. CRA1.5 has been implemented for real-time operation at the CMA. Updates are available up to 6 h after the analysis time, with a final update provided at a 3-day lag.

Original languageEnglish
Pages (from-to)1379-1398
Number of pages20
JournalJournal of Meteorological Research
Volume39
Issue number6
DOIs
StatePublished - Dec 2025
Externally publishedYes

Keywords

  • CMA reanalysis (CRA)
  • data assimilation (DA)
  • forecast model
  • observations

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