The Regularized WSM6 Microphysical Scheme and Its Validation in WRF 4D-Var
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00376-022-2058-6.pdf
Reference62 articles.
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2. Chen, Y. D., K. M. Fang, M. Chen, and H. L. Wang, 2021: Diurnally varying background error covariances estimated in RMAPS-ST and their impacts on operational implementations. Atmospheric Research, 257, 105624, https://doi.org/10.1016/j.atmosres.2021.105624.
3. Courtier, P., J.-N. Thépaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4D-Var, using an incremental approach. Quart. J. Roy. Meteor. Soc., 120, 1367–1387, https://doi.org/10.1002/qj.49712051912.
4. Descombes, G., T. Auligné, F. Vandenberghe, D. M. Barker, and J. Barré, 2015: Generalized background error covariance matrix model (GEN_BE v2.0). Geoscientific Model Development, 8, 669–696, https://doi.org/10.5194/gmd-8-669-2015.
5. Dudhia, J. 1989: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci., 46(20), 3077–3107, https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2.
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