| Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales RN Bannister, HG Chipilski, O Martinez‐Alvarado Quarterly Journal of the Royal Meteorological Society 146 (726), 1-48, 2020 | 42 | 2020 |
| Bore-ing into nocturnal convection KR Haghi, B Geerts, HG Chipilski, A Johnson, S Degelia, D Imy, ... Bulletin of the American Meteorological Society 100 (6), 1103-1121, 2019 | 41 | 2019 |
| A multiscale local gain form ensemble transform Kalman filter (MLGETKF) X Wang, HG Chipilski, CH Bishop, E Satterfield, N Baker, JS Whitaker Monthly Weather Review 149 (3), 605-622, 2021 | 29 | 2021 |
| Impact of assimilating PECAN profilers on the prediction of bore-driven nocturnal convection: A multiscale forecast evaluation for the 6 July 2015 case study HG Chipilski, X Wang, DB Parsons Monthly Weather Review 148 (3), 1147-1175, 2020 | 21 | 2020 |
| Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021 G Hu, SL Dance, RN Bannister, HG Chipilski, O Guillet, B Macpherson, ... Atmospheric Science Letters 24 (1), e1130, 2023 | 19 | 2023 |
| Object-based algorithm for the identification and tracking of convective outflow boundaries in numerical models HG Chipilski, X Wang, DB Parsons Monthly Weather Review 146 (12), 4179-4200, 2018 | 10 | 2018 |
| The value of assimilating different ground-based profiling networks on the forecasts of bore-generating nocturnal convection HG Chipilski, X Wang, DB Parsons, A Johnson, SK Degelia Monthly Weather Review 150 (6), 1273-1292, 2022 | 7 | 2022 |
| Analysis of a case of supercellular convection over Bulgaria: Observations and numerical simulations HG Chipilski, I Tsonevsky, S Georgiev, T Dimitrova, L Bocheva, X Wang Atmosphere 10 (9), 486, 2019 | 5 | 2019 |
| Impact of Assimilating PECAN IOP Observations on the Numerical Prediction of Bores and Bore-Initiated Convection HG Chipilski, X Wang, DB Parsons 98th American Meteorological Society Annual Meeting, 2018 | 1 | 2018 |
| Nonlinear ensemble filtering with diffusion models: Application to the surface quasi-geostrophic dynamics F Bao, HG Chipilski, S Liang, G Zhang, JS Whitaker arXiv preprint arXiv:2404.00844, 2024 | | 2024 |
| Nonlinear Ensemble Data Assimilation for Convective Scale Parameter Estimation DJ Posselt, RL Storer, HG Chipilski AGU23, 2023 | | 2023 |
| Exact nonlinear state estimation HG Chipilski arXiv preprint arXiv:2310.10976, 2023 | | 2023 |
| Toward the Application of Nonlinear Ensemble Data Assimilation Methods to Convective-Scale Parameter Estimation HG Chipilski, D Posselt EGU23, 2023 | | 2023 |
| Gaussian Anamorphosis for Two-Step Ensemble Filtering HG Chipilski, I Grooms, M Gharamti, J Anderson 103rd AMS Annual Meeting, 2023 | | 2023 |
| When Can Poisson Random Variables Be Approximated as Gaussian? M Hayman, WJ Marais, HG Chipilski, RA Stillwell, SM Spuler International Laser Radar Conference, 133-139, 2022 | | 2022 |
| Bridging linear state estimation and machine learning HG Chipilski EGU General Assembly Conference Abstracts, EGU22-2838, 2022 | | 2022 |
| Assimilation of ground-based remote sensors for improving the prediction of bore-generating nocturnal convection HG Chipilski | | 2021 |
| How Can the Assimilation of Ground-Based Remote Sensing Boundary Layer Profilers Impact the Prediction of Bore-Driven Nocturnal Convection? HG Chipilski, X Wang, DB Parsons 18th Conference on Mesoscale Processes, 2019 | | 2019 |
| Click to edit Master title style The Search for Gaussian Moisture Variables at the Convective Scale H Chipilski, D Livings, R Bannister | | |
Xuguang WangSchool of Meteorology, University of OklahomaVerified email at ou.edu
