代表論著
Tian, X., & Zhang, H. (2019). A big data‐driven nonlinear least squares four‐dimensional variational data assimilation method: Theoretical formulation and conceptual evaluation. Earth and Space Science, 6. https://doi. org/10.1029/2019EA000735
Zhang, H., & Tian, X. (2018). An ef?cient local correlation matrix decomposition approach for the localization implementation of ensemble-based assimilation methods. Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1002/2017JD027999
Tian, X., Zhang, H.，et al. (2019). Nonlinear Least Squares En4DVar Methods for Data Assimilation: Formulation, Analysis and Performance Evaluation. Monthly Weather Review.146. DOI: 10.1175/MWR-D-17-0050.1
Tian, X., & Zhang, H. (2019). Implementation of a modi?ed adaptive covariance in?ation scheme for the big data‐driven NLS‐4DVar algorithm. Earth and Space Science, 6. https://doi. org/10.1029/2019EA000963
Zhang, H., & Tian, X. (2018). A multigrid nonlinearleast squaresfour-dimensional Variationaldataassimilationschemethe with Advanced Research Weather Research and Forecasting Model. Journal of Geophysical Research: Atmospheres, 123, 5116–5129. https:// doi.org/10.1029/2017JD027529
