| Atmospheric river tracking method intercomparison project (artmip): project goals and experimental design CA Shields, JJ Rutz, LY Leung, FM Ralph, M Wehner, B Kawzenuk, ... Geoscientific Model Development 11 (6), 2455-2474, 2018 | 243 | 2018 |
| The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology JJ Rutz, CA Shields, JM Lora, AE Payne, B Guan, P Ullrich, T O’Brien, ... Journal of Geophysical Research: Atmospheres, 2019 | 167 | 2019 |
| Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets G Muszynski, K Kashinath, V Kurlin, M Wehner Geoscientific Model Development 12 (2), 613-628, 2019 | 51 | 2019 |
| Persistence-based resolution-independent meshes of superpixels V Kurlin, G Muszynski Pattern Recognition Letters, 2020 | 6 | 2020 |
| A Persistence-Based Approach to Automatic Detection of Line Segments in Images V Kurlin, G Muszynski International Workshop on Computational Topology in Image Context, 137-150, 2019 | 6 | 2019 |
| An approach to image segmentation based on shortest paths in graphs A Brzoza, G Muszynski 2017 International Conference on Systems, Signals and Image Processing …, 2017 | 6 | 2017 |
| Using a causal discovery approach to analyse linkages among ENSO, circulation fields, and summer monsoon precipitation over the Himalayas G Muszynski, A Orr, I Roy EGU24, 2024 | | 2024 |
| Topological Methods for Pattern Detection in Climate Data G Muszynski, V Kurlin, D Morozov, M Wehner, K Kashinath, P Ram Big Data Analytics in Earth, Atmospheric, and Ocean Sciences, 2022 | | 2022 |
| Pattern Recognition for Weather Phenomena in Climate Data G Muszynski University of Liverpool, 2021 | | 2021 |
| Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data G Muszynski, J Balewski, K Kashinath, M Wehner, V Kurlin 2020 25th International Conference on Pattern Recognition (ICPR), 677-684, 2021 | | 2021 |
| Detecting Drivers of Heavy Precipitation in the Himalayan Region G Muszynski, M Kretschmer, JS Hosking AGU Fall Meeting Abstracts 2020, IN006-0003, 2020 | | 2020 |
| Topological Data Analysis and Machine Learning methods for pattern detection in spatiotemporal climate data K Kashinath, G Muszynski, MF Wehner, V Kurlin, M Prabhat, J Balewski 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Topological Data Analysis and Machine Learning methods for pattern detection in spatiotemporal climate data G Muszynski, K Kashinath, MF Wehner, J Balewski, M Prabhat AGU Fall Meeting 2019, 2019 | | 2019 |
| A Topology-Based Approach To Characterization and Detection of Weather Patterns in Climate Model Output: Application to Atmospheric Blocking Events G Muszynski, K Kashinath, V Kurlin, MF Wehner, M Prabhat 99th American Meteorological Society Annual Meeting, 2019 | | 2019 |
| Towards Topological Pattern Detection Methods in Climate Data: Application to Atmospheric Blocking Events G Muszynski, K Kashinath, V Kurlin, MF Wehner, M Prabhat AGU Fall Meeting Abstracts, 2018 | | 2018 |
| Towards a topological pattern detection in fluid and climate simulation data P Grzegorz Muszynski, Karthik Kashinath, Vitaliy Kurlin, Michael Wehner Climate Informatics, 2018 | | 2018 |
| Topological data analyses and machine learning for detection, classification and characterization of atmospheric rivers G Muszynski, K Kashinath, MF Wehner, M Prabhat, V Kurlin AGU Fall Meeting Abstracts, 2017 | | 2017 |
| Statistical Relationships Between the Subtropical Jet Stream and Extra-tropical Cyclones J LIU, JCH Chiang, M Prabhat, B Loring, G Muszynski AGU Fall Meeting Abstracts, 2016 | | 2016 |
Vitaliy KurlinProfessor, Royal Society APEX fellow, University of Liverpool, UKVerified email at liverpool.ac.uk
