A Regional Hybrid Gain Data Assimilation System and Preliminary Evaluation Based on Radio Occultation Reflectivity Assimilation
Author:
Affiliation:
1. Department of Atmospheric Sciences, National Central University
2. RIKEN Center for Computational Science
3. NOAA Physical Sciences Laboratory
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/sola/18/0/18_2022-006/_pdf
Reference32 articles.
1. Azevedo, H. B., L. G. G. De Gonçalves, E. Kalnay, and M. Wespetal, 2020: Dynamically weighted hybrid gain data assimilation: Perfect model testing. Tellus, Ser. A Dyn. Meteor. Oceanogr., 72, 1-11, doi:10.1080/16000870.2020.1835310.
2. Barker, D., X.-Y. Huang, Z. Liu, T. Auligné, X. Zhang, S. Rugg, R. Ajjaji, A. Bourgeois, J. Bray, Y. Chen, M. Demirtas, Y.-R. Guo, T. Henderson, W. Huang, H.-C. Lin, J. Michalakes, S. Rizvi, and X. Zhang, 2012: The Weather Research and Forecasting model's community variational/ensemble data assimilation system: WRFDA. Bull. Amer. Meteor. Soc., 93, 831-843, doi:10.1175/BAMS-D-11-00167.1.
3. Bannister, R. N., H. G. Chipilski, and O. Martinez-Alvarado, 2019: Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales. Quart. J. Roy. Meteor. Soc., 146, 1-48, doi:10.1002/qj.3652.
4. Bonavita, M., M. Hamrud, and L. Isaksen, 2015: EnKF and hybrid gain ensemble data assimilation. Part II: EnKF and hybrid gain results. Mon. Wea. Rev., 143, 4865-4882, doi:10.1175/MWR-D-15-0071.1.
5. Buehner, M., 2005: Ensemble-derived stationary and flow-dependent background-error covariances: Evaluation in a quasi-operational NWP setting. Quart. J. Roy. Meteor. Soc., 131, 1013-1043, doi:10.1256/qj.04.15.
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