Comparison of Two Kinds of Momentum Control Variables in 3DVAR During Assimilating Low-resolution Observations in a Convective-scale Model: a Case Study of Torrential Rainfall in North China

Author:

Dong Qiru,Wang Xuelian,Fan Shuiyong,Li Yinghua,Qiu Xiaobin,Liu Lili

Funder

Regional Science and Bohai Rim Meteorological Science Collaborative Innovation Fund

Tianjin Key Laboratory of Oceanic Meteorology Project

Natural Science Foundation of Tianjin

National Key Research and Development Project

Research project of the Tianjin Meteorological Bureau

Key Project of Tianjin Meteorological Bureau

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference27 articles.

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2. Barker, D.M., Huang, X.Y., Liu, Z.Q., Auligné, T., Zhang, X.Y., Rugg, S., Ajjaji, R., Bourgeois, A., Bray, J., Chen, Y.S., Demirtas, M., Guo, Y.R., Henderson, T., Huang, W., Lin, H.C., Michalakes, J., Rizvi, S., Zhang, X.Y.: The weather research and forecasting model’s community variational/ensemble data assimilation system: WRFDA. Bull. Amer. Meteor. Soc. 93, 831–843 (2012)

3. Cao, X.Q., Huang, S.X., Zhang, W.M., Du, H.D.: Modelling background error covariance in regional 3D-VAR. Sci. Meteor. Sin 28, 8–14 (2008)

4. Chen, Y.D., Xia, X., Min, J.Z., Xin, J.Y., Sun, T.: Balance characteristics of multivariate background error covariance for typhoon season and its impact on typhoon data assimilation and forecast. J. Trop. Meteor. 3, 289–298 (2017)

5. Chen, Y.D., Chen, X.M., Zeng, L.M., Wang, H.L., Wang, Y.B.: Influence of background sample error simulation on data assimilation and forecast. Plateau Meteor. 35, 767–776 (2016)

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