| A localized particle filter for high-dimensional nonlinear systems J Poterjoy Monthly Weather Review 144 (1), 59-76, 2016 | 182 | 2016 |
| E3DVar: Coupling an ensemble Kalman filter with three-dimensional variational data assimilation in a limited-area weather prediction model and comparison to E4DVar F Zhang, M Zhang, J Poterjoy Monthly Weather Review 141 (3), 900-917, 2013 | 85 | 2013 |
| Efficient assimilation of simulated observations in a high-dimensional geophysical system using a localized particle filter J Poterjoy, JL Anderson Monthly Weather Review 144 (5), 2007-2020, 2016 | 55 | 2016 |
| Convective-scale data assimilation for the weather research and forecasting model using the local particle filter J Poterjoy, RA Sobash, JL Anderson Monthly Weather Review 145 (5), 1897-1918, 2017 | 52 | 2017 |
| Progress toward the application of a localized particle filter for numerical weather prediction J Poterjoy, L Wicker, M Buehner Monthly Weather Review 147 (4), 1107-1126, 2019 | 46 | 2019 |
| Observing strategy and observation targeting for tropical cyclones using ensemble-based sensitivity analysis and data assimilation B Xie, F Zhang, Q Zhang, J Poterjoy, Y Weng Monthly weather review 141 (5), 1437-1453, 2013 | 42 | 2013 |
| The effects of sampling errors on the EnKF assimilation of inner-core hurricane observations J Poterjoy, F Zhang, Y Weng Monthly Weather Review 142 (4), 1609-1630, 2014 | 41 | 2014 |
| Dynamics and structure of forecast error covariance in the core of a developing hurricane J Poterjoy, F Zhang Journal of the atmospheric sciences 68 (8), 1586-1606, 2011 | 34 | 2011 |
| Intercomparison and coupling of ensemble and four-dimensional variational data assimilation methods for the analysis and forecasting of Hurricane Karl (2010) J Poterjoy, F Zhang Monthly Weather Review 142 (9), 3347-3364, 2014 | 30 | 2014 |
| Systematic comparison of four-dimensional data assimilation methods with and without the tangent linear model using hybrid background error covariance: E4DVar versus 4DEnVar J Poterjoy, F Zhang Monthly Weather Review 143 (5), 1601-1621, 2015 | 29 | 2015 |
| Development of an efficient regional four-dimensional variational data assimilation system for WRF X Zhang, XY Huang, J Liu, J Poterjoy, Y Weng, F Zhang, H Wang Journal of Atmospheric and Oceanic Technology 31 (12), 2777-2794, 2014 | 28 | 2014 |
| Variational particle smoothers and their localization M Morzfeld, D Hodyss, J Poterjoy Quarterly Journal of the Royal Meteorological Society 144 (712), 806-825, 2018 | 17 | 2018 |
| Predictability and genesis of Hurricane Karl (2010) examined through the EnKF assimilation of field observations collected during PREDICT J Poterjoy, F Zhang Journal of the Atmospheric Sciences 71 (4), 1260-1275, 2014 | 17 | 2014 |
| Comparison of hybrid four-dimensional data assimilation methods with and without the tangent linear and adjoint models for predicting the life cycle of Hurricane Karl (2010) J Poterjoy, F Zhang Monthly Weather Review 144 (4), 1449-1468, 2016 | 14 | 2016 |
| Implications of multivariate non-Gaussian data assimilation for multiscale weather prediction J Poterjoy Monthly Weather Review 150 (6), 1475-1493, 2022 | 11 | 2022 |
| 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 |
| Inter-comparison and coupling of ensemble and variational data assimilation approaches for the analysis and forecasting of Hurricane Karl (2010) J Poterjoy, F Zhang Mon. Wea. Rev 142, 3347-3364, 2014 | 8 | 2014 |
| Data assimilation challenges posed by nonlinear operators: A comparative study of ensemble and variational filters and smoothers K Kurosawa, J Poterjoy Monthly Weather Review 149 (7), 2369-2389, 2021 | 7 | 2021 |
| Regularization and tempering for a moment‐matching localized particle filter J Poterjoy Quarterly Journal of the Royal Meteorological Society 148 (747), 2631-2651, 2022 | 6 | 2022 |
| Comparing partial and continuously cycling ensemble Kalman filter data assimilation systems for convection-allowing ensemble forecast initialization CS Schwartz, J Poterjoy, JR Carley, DC Dowell, GS Romine, K Ide Weather and Forecasting 37 (1), 85-112, 2022 | 6 | 2022 |
