代表论著
1、d. xiao, du juan, f. fang, c.c. pain, and j. li, 2018: parameterised non-intrusive reduced order methods for ensemble kalman filter data assimilation. computers and fluids. 177: 69-77, doi: 10.1016/j.compfluid.2018.10.006. 【sci】
2、du juan, j. zhu, f. fang, c.c. pain, and i.m. navon, 2016: ensemble data assimilation applied to an adaptive mesh ocean model. international journal for numerical methods in fluids, 82: 997–1009, doi: 10.1002/fld.4247. 【sci】
3、du juan, f. fang, c.c. pain, i.m. navon, j. zhu, and d.a. ham, 2013: pod reduced-order unstructured mesh modeling applied to 2d and 3d fluid flow. computers and mathematics with applications, 65: 362–379, doi:10.1016/j.camwa.2012.06.009. 【sci】
4、du juan, i.m. navon, j. zhu, f. fang, and a.k. alekseev, 2013: reduced order modeling based on pod of a parabolized navier–stokes equations model ii: trust region pod 4d var data assimilation. computers and mathematics with applications, 65: 380–394, doi:10.1016/j. camwa.2012.06.001. 【sci】
5、du juan, i.m. navon, j.l. steward, a.k. alekseev, and z. luo, 2012: reduced order modeling based on pod of a parabolized navier-stokes equations model i: forward model. international journal for numerical methods in fluids, 69(3):710–730, doi:?10.1002/fld. 2606. 【sci】
6、du juan, j. zhu, z.d. luo, and i.m. navon, 2011: an optimizing finite difference scheme based on proper orthogonal decomposition for cvd equations. communications in numerical methods in engineering, 27 (1): 78-94, doi:10.1002/cnm.1295. 【sci】
7、杜娟等。三维boussinesq方程有限元格式的pod降维模型, 2011:北京交通大学学报, 35(3): 150-155. 【cscd】
8、xiao d., f. fang, a.g. buchan, c.c. pain, i.m. navon, juan du, and g. hu, 2014: non-linear model reduction for the navier-stokes equations using the residual deim method. journal of computational physics, 263:1-18, doi:10.1016/j.jcp.2014.01.011. 【sci】
9、xiao d., f. fang, juan du, c.c. pain, i.m. navon, a.g. buchan, a.h. elsheikh, and g. hu, 2013: non-linear petrov–galerkin methods for reduced order modeling of the navier–stokes equations using a mixed finite element pair. computer methods in applied mechanics and engineering, 255:147–157, doi:10.1016/j.cma.2012.11.002. 【sci】
10、fang f., c.c. pain, i.m. navon, a.h. elsheikh, juan du, and d. xiao, 2013: non-linear petrov–galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. journal of computational physics, 234:540–559, doi:10.1016/j.jcp.2012.10. 011. 【sci】
11、luo z.d., juan du, z. xie, and y. guo, 2011: a reduced stabilized mixed finite element formulation based on proper orthogonal decomposition for the non-stationary navier-stokes equations. international journal for numerical methods in engineering, 88:31–46, doi: 10.1002/nme.3161. 【sci】
承担科研项目情况
1、国家自然科学基金委员会，?国际(地区)合作与交流项目，东南亚区域年际气候变率机理与预测研究 ，2019-01至 2021-12，参加
2、科技部，国家重点研发计划，大气-海洋-海冰相互作用机制及其对热量收支和冰冻圈变化的影响, 2018-05至2023-04，参加
2、国家自然科学基金委员会，面上项目，卫星遥感海表盐度在hycom海洋模式中的同化以及对其他观测系统的作用，2018-01至2021-12，参加
3、科技部，国家重点研发计划，全球高分辨率海洋资料同化技术研究与业务应用示范，2016-09至2020-12，参加
4、国家自然科学基金委员会，青年基金，自适应网格海洋集合资料同化方法研究，2015-01至2017-12，25万元，主持
5、中国博士后科学基金会，面上资助（第52批），适用于无结构自适应网格的海洋集合资料同化方法研究，2012-11至2013-6，主持
