Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Evaluation of Assimilation Experiments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00376-021-0336-3.pdf
Reference52 articles.
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4. Bao, X. H., and F. Q. Zhang, 2013: Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau. J. Climate, 26, 206–214, https://doi.org/10.1175/JCLI-D-12-00056.1.
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1. Benefit of assimilating satellite all‐sky infrared radiances on the cloud and precipitation prediction of a long‐lasting mesoscale convective system over the Tibetan plateau;Quarterly Journal of the Royal Meteorological Society;2023-08-02
2. Research on quality control methods for surface temperature observations via spatial correlation analysis;International Journal of Climatology;2022-11-05
3. Variational quality control of non-Gaussian innovations and its parametric optimizations for the GRAPES m3DVAR system;Frontiers of Earth Science;2022-07-06
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