代表论著
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
