skip to content

AI for the study of Environmental Risks (AI4ER)

UKRI Centre for Doctoral Training
 

Research publications

Year Publication details
2022 Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds.  Tazi, Kenza, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert. https://arxiv.org/abs/2211.13052
2022 Identifying the Causes of Pyrocumulonimbus (PyroCb). Salas-Porras, Emiliano Diaz, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert. " arXiv preprint arXiv:2211.08883 (2022).
2022 Kernel Learning for Explainable Climate Science. Lalchand, Vidhi, Kenza Tazi, Talay M. Cheema, Richard E. Turner, and Scott Hosking. arXiv preprint arXiv:2209.04947 (2022).
2022 Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model. Parthipan, Raghul, Hannah M. Christensen, J. Scott Hosking, and Damon J. WischikEGUsphere (2022): 1-27.
2022 Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model EmulationParthipan, Raghul, and Damon J. WischikarXiv preprint arXiv:2210.04001(2022).
2022 Localized impacts and economic implications from high temperature disruption days under climate change. Summers, Tim, Erik Mackie, Risa Ueno, Charles Simpson, J. Scott Hosking, Tudor Suciu, Andrew Coburn, and Emily ShuckburghClimate Resilience and Sustainability 1, no. 2 (2022): e35.
2022 Optimisation of a global climate model ensemble for prediction of extreme heat daysVirdee, Mala, Emily Shuckburgh, Carl Henrik Ek, Ieva Kazlauskaite, and Markus Kaiser. arXiv preprint arXiv:2211.16367 (2022).
2022 Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis. Sun, Haitong Zhe, Pei Yu, Changxin Lan, Michelle WL Wan, Sebastian Hickman, Jayaprakash Murulitharan, Huizhong Shen, Le Yuan, Yuming Guo, and Alexander T. Archibald. " The Innovation (2022): 100246.
2022 Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images. Brown, Edward JE, Filip Svoboda, Nigel P. Meredith, Nicholas Lane, and Richard B. Horne. Space Weather 20, no. 3 (2022): e2021SW002976.
2022 AI applications in forest monitoring need remote sensing benchmark datasetsLines, E., Allen, M., Cabo, C., Calders, K., Debus, A., Grieve, S., Miltiadou, M., et al.2022 IEEE International Conference on Big Data Workshop BDA4S 2021. https://doi.org/10.17863/CAM.91304 
2022 On the Expressive Power of Geometric Graph Neural Networks. Joshi, Chaitanya K., Cristian Bodnar, Simon V. Mathis, Taco Cohen, and Pietro Liò. In NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations.
2022 Beobench: a toolkit for unified access to building simulations for reinforcement learning, Arduin Findeis, Fiodar Kazhamiaka, Scott Jeen, Srinivasan Keshav. e-Energy '22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, June 2022 Pages 374–382. 
2022 Accurate tropical forest individual tree crown delineation from RGB imagery using Mask R-CNNHickman, Sebastian HM, James George Clifford Ball, Tobias D. Jackson, Xian Jing Koay, James Hirst, William Jay, Melaine Aubry-Kientz, Gregoire Vincent, and David A. CoomesbioRxiv (2022).
2022 Tree species classification from complex laser scanning data in Mediterranean forests using deep learning.  Matthew J. Allen, Stuart W. D. Grieve, Harry J. F. Owen, Emily R. Lines. Methods in Ecology and Evolution, 18 Sep 2022. 
2021 Multivariate climate downscaling with latent neural processes. Vaughan, Anna, Nicholas D. Lane, and Michael Herzog.  Climate Change AI Workshop. 2021
2021 Defining Southern Ocean fronts using unsupervised classification. Simon D. A. Thomas, Daniel C. Jones, Anita Faul, Erik Mackie, and Etienne PauthenetOcean Sci., 17, 1545–1562, 2021 https://doi.org/10.5194/os-17-1545-2021 
2021 Spatial Resolved Surface Ozone with Urban and Rural Differentiation during 1990–2019: A Space–Time Bayesian Neural Network Downscaler. Sun, Haitong, Youngsub Matthew Shin, Mingtao Xia, Shengxian Ke, Michelle Wan, Le Yuan, Yuming Guo, and Alexander T. ArchibaldEnvironmental Science & Technology (2021).
2021 Vision transformers and techniques for improving solar wind speed forecasts using solar EUV images. Svoboda, Filip, Edward Brown, Nigel P. Meredith, and Nicholas D. Lane. NeurIPs, (2021).