| Net modulation of upper ocean thermal structure by Typhoon Kalmaegi (2014) H Zhang, R Wu, D Chen, X Liu, H He, Y Tang, D Ke, Z Shen, J Li, J Xie, ... Journal of Geophysical Research: Oceans 123 (10), 7154-7171, 2018 | 61 | 2018 |
| A modified ensemble Kalman particle filter for non‐Gaussian systems with nonlinear measurement functions Z Shen, Y Tang Journal of Advances in Modeling Earth Systems 7 (1), 50-66, 2015 | 44 | 2015 |
| ENSO predictability over the past 137 years based on a CESM ensemble prediction system T Liu, X Song, Y Tang, Z Shen, X Tan Journal of Climate 35 (2), 763-777, 2022 | 28 | 2022 |
| Impacts of the IOD-associated temperature and salinity anomalies on the intermittent equatorial undercurrent anomalies J Li, C Liang, Y Tang, X Liu, T Lian, Z Shen, X Li Climate Dynamics 51, 1391-1409, 2018 | 20 | 2018 |
| The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years T Liu, Y Tang, D Yang, Y Cheng, X Song, Z Hou, Z Shen, Y Gao, Y Wu, ... Climate dynamics 53, 6947-6960, 2019 | 15 | 2019 |
| A new formulation of vector weights in localized particle filters Z Shen, Y Tang, X Li Quarterly Journal of the Royal Meteorological Society 143 (709), 3269-3278, 2017 | 12 | 2017 |
| Dispersion relation of leaky modes in nonhomogeneous waveguides and its applications J Zhu, Z Shen Journal of lightwave technology 29 (21), 3230-3236, 2011 | 11 | 2011 |
| An extension of LDEO5 model for ENSO ensemble predictions Y Gao, T Liu, X Song, Z Shen, Y Tang, D Chen Climate Dynamics 55, 2979-2991, 2020 | 9 | 2020 |
| Parameter estimation based on a local ensemble transform Kalman filter applied to El Niño–Southern Oscillation ensemble prediction Y Gao, Y Tang, X Song, Z Shen Remote Sensing 13 (19), 3923, 2021 | 8 | 2021 |
| Comparison and combination of EAKF and SIR-PF in the Bayesian filter framework Z Shen, X Zhang, Y Tang Acta Oceanologica Sinica 35, 69-78, 2016 | 8 | 2016 |
| Toward an optimal observational array for improving two flavors of El Niño predictions in the whole Pacific M Hou, Y Tang, W Duan, Z Shen Climate Dynamics 60 (3), 831-850, 2023 | 7 | 2023 |
| A two-stage inflation method in parameter estimation to compensate for constant parameter evolution in Community Earth System Model Z Shen, Y Tang Acta Oceanologica Sinica 41 (2), 91-102, 2022 | 7 | 2022 |
| A flow‐dependent targeted observation method for ensemble Kalman filter assimilation systems Y Wu, Z Shen, Y Tang Earth and Space Science 7 (7), e2020EA001149, 2020 | 7 | 2020 |
| Investigating the uncertainty in global SST trends due to internal variations using an improved trend estimator T Lian, Z Shen, J Ying, Y Tang, J Li, Z Ling Journal of Geophysical Research: Oceans 123 (3), 1877-1895, 2018 | 7 | 2018 |
| On the Localization in Strongly Coupled Ensemble Data Assimilation Using a Two‐Scale Lorenz Model Z Shen, Y Tang, X Li, Y Gao Earth and Space Science 8 (3), e2020EA001465, 2021 | 6 | 2021 |
| An introduction to ensemble-based data assimilation method in the Earth sciences Y Tang, Z Shen, Y Gao Nonlinear Systems-Design, Analysis, Estimation and Control, 2016 | 6 | 2016 |
| Roles of atmospheric physics and model resolution in the simulation of two types of El Niño Z Yao, Y Tang, T Lian, DF Xu, X Li, Z Shen, J Zheng, B Zhang, C Zhang Ocean Modelling 143, 101468, 2019 | 5 | 2019 |
| Dispersion relations of the modes for open nonhomogeneous waveguides terminated by perfectly matched layers J Zhu, Z Shen, Z Chen JOSA B 29 (9), 2524-2530, 2012 | 5 | 2012 |
| On oceanic initial state errors in the ensemble data assimilation for a coupled general circulation model Y Chen, Z Shen, Y Tang Journal of Advances in Modeling Earth Systems 14 (12), e2022MS003106, 2022 | 4 | 2022 |
| Optimal error analysis of MJO prediction associated with uncertainties in sea surface temperature over Indian Ocean X Li, Y Tang, L Zhou, Z Yao, Z Shen, J Li, T Liu Climate Dynamics 54, 4331-4350, 2020 | 4 | 2020 |
Youmin TangUniversity of Northern British ColumbiaVerified email at unbc.ca
