| Estimating the limit of decadal-scale climate predictability using observational data R Ding, J Li, F Zheng, J Feng, D Liu Climate Dynamics 46, 1563-1580, 2016 | 52 | 2016 |
| The application of nonlinear local Lyapunov vectors to ensemble predictions in Lorenz systems J Feng, R Ding, D Liu, J Li Journal of the Atmospheric Sciences 71 (9), 3554-3567, 2014 | 41 | 2014 |
| Impact of assimilating upper-level dropsonde observations collected during the TCI field campaign on the prediction of intensity and structure of Hurricane Patricia (2015) J Feng, X Wang Monthly Weather Review 147 (8), 3069-3089, 2019 | 33 | 2019 |
| Attractor radius and global attractor radius and their application to the quantification of predictability limits J Li, J Feng, R Ding Climate dynamics 51 (5), 2359-2374, 2018 | 22 | 2018 |
| Impact of increasing horizontal and vertical resolution during the HWRF hybrid EnVar data assimilation on the analysis and prediction of Hurricane Patricia (2015) J Feng, X Wang Monthly Weather Review 149 (2), 419-441, 2021 | 19 | 2021 |
| Improving typhoon predictions by assimilating the retrieval of atmospheric temperature profiles from the FengYun-4A's Geostationary Interferometric Infrared Sounder (GIIRS) J Feng, X Qin, C Wu, P Zhang, L Yang, X Shen, W Han, Y Li Atmospheric Research 280, 106391, 2022 | 18 | 2022 |
| Comparison of nonlinear local Lyapunov vectors with bred vectors, random perturbations and ensemble transform Kalman filter strategies in a barotropic model J Feng, R Ding, J Li, D Liu Advances in Atmospheric Sciences 33, 1036-1046, 2016 | 15 | 2016 |
| Comparison of nonlinear local Lyapunov vectors and bred vectors in estimating the spatial distribution of error growth J Feng, J Li, R Ding, Z Toth Journal of the Atmospheric Sciences 75 (4), 1073-1087, 2018 | 14 | 2018 |
| The application of nonlinear local Lyapunov vectors to the Zebiak–Cane model and their performance in ensemble prediction Z Hou, J Li, R Ding, J Feng, W Duan Climate dynamics 51, 283-304, 2018 | 13 | 2018 |
| Quantifying local predictability of the Lorenz system using the nonlinear local Lyapunov exponent XW HUAI, JP LI, RQ DING, J FENG, DQ LIU Atmospheric and Oceanic Science Letters 10 (5), 372-378, 2017 | 13 | 2017 |
| Unified ensemble mean forecasting of tropical cyclones based on the feature-oriented mean method J Zhang, J Feng, H Li, Y Zhu, X Zhi, F Zhang Weather and Forecasting 36 (6), 1945-1959, 2021 | 11 | 2021 |
| Asymmetry of the predictability limit of the warm ENSO phase Z Hou, J Li, R Ding, C Karamperidou, W Duan, T Liu, J Feng Geophysical Research Letters 45 (15), 7646-7653, 2018 | 11 | 2018 |
| Spatially extended estimates of analysis and short-range forecast error variances J Feng, Z Toth, M Peña Tellus A: Dynamic Meteorology and Oceanography 69 (1), 1325301, 2017 | 10 | 2017 |
| A comparison of two local moment-matching nonlinear filters: Local particle filter (LPF) and local nonlinear ensemble transform filter (LNETF) J Feng, X Wang, J Poterjoy Monthly Weather Review 148 (11), 4377-4395, 2020 | 9 | 2020 |
| Investigating decadal variations of the seasonal predictability limit of sea surface temperature in the tropical Pacific Z Hou, J Li, R Ding, J Feng Climate Dynamics 59 (3), 1079-1096, 2022 | 8 | 2022 |
| The impacts of time-step size and spatial resolution on the prediction skill of the GRAPES-MESO forecast system DQ Liu, J Feng, JP Li, J Wang Chin. J. Atmos. Sci 42, 1146-1156, 2015 | 8 | 2015 |
| The relationship between deterministic and ensemble mean forecast errors revealed by global and local attractor radii J Feng, J Li, J Zhang, D Liu, R Ding Advances in Atmospheric Sciences 36, 271-278, 2019 | 7 | 2019 |
| Partition of analysis and forecast error variance into growing and decaying components J Feng, Z Toth, M Peña, J Zhang Quarterly Journal of the Royal Meteorological Society 146 (728), 1302-1321, 2020 | 6 | 2020 |
| A new measure of ensemble central tendency J Feng, J Zhang, Z Toth, M Peña, S Ravela Weather and Forecasting 35 (3), 879-889, 2020 | 6 | 2020 |
| Influence of Assimilating Wind Profiling Radar Observations in Distinct Dynamic Instability Regions on the Analysis and Forecast of an Extreme Rainstorm Event in Southern China D Liu, C Huang, J Feng Remote Sensing 14 (14), 3478, 2022 | 5 | 2022 |
Zoltan TothSenior Scientist, Global Systems Laboratory, NOAA/OAR/ESRLVerified email at noaa.gov
