代表論著
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。三維Boussinesq方程有限元格式的POD降維模型, 2011:北京交通大學(xué)學(xué)報, 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】
承擔(dān)科研項目情況
1、國家自然科學(xué)基金委員會，?國際(地區(qū))合作與交流項目，東南亞區(qū)域年際氣候變率機理與預(yù)測研究 ，2019-01至 2021-12，參加
2、科技部，國家重點研發(fā)計劃，大氣-海洋-海冰相互作用機制及其對熱量收支和冰凍圈變化的影響, 2018-05至2023-04，參加
2、國家自然科學(xué)基金委員會，面上項目，衛(wèi)星遙感海表鹽度在HYCOM海洋模式中的同化以及對其他觀測系統(tǒng)的作用，2018-01至2021-12，參加
3、科技部，國家重點研發(fā)計劃，全球高分辨率海洋資料同化技術(shù)研究與業(yè)務(wù)應(yīng)用示范，2016-09至2020-12，參加
4、國家自然科學(xué)基金委員會，青年基金，自適應(yīng)網(wǎng)格海洋集合資料同化方法研究，2015-01至2017-12，25萬元，主持
5、中國博士后科學(xué)基金會，面上資助（第52批），適用于無結(jié)構(gòu)自適應(yīng)網(wǎng)格的海洋集合資料同化方法研究，2012-11至2013-6，主持
