| Machine learning and artificial intelligence to aid climate change research and preparedness C Huntingford, ES Jeffers, MB Bonsall, HM Christensen, T Lees, H Yang Environmental Research Letters 14 (12), 124007, 2019 | 381 | 2019 |
| Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management LJ Slater, B Anderson, M Buechel, S Dadson, S Han, S Harrigan, T Kelder, ... Hydrology and Earth System Sciences 25 (7), 3897-3935, 2021 | 188 | 2021 |
| Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models T Lees, M Buechel, B Anderson, L Slater, S Reece, G Coxon, SJ Dadson Hydrology and Earth System Sciences 25 (10), 5517-5534, 2021 | 138 | 2021 |
| A pan-African high-resolution drought index dataset J Peng, S Dadson, F Hirpa, E Dyer, T Lees, DG Miralles, ... Earth System Science Data 12 (1), 753-769, 2020 | 114 | 2020 |
| Hydrological concept formation inside long short-term memory (LSTM) networks T Lees, S Reece, F Kratzert, D Klotz, M Gauch, J De Bruijn, R Kumar Sahu, ... Hydrology and Earth System Sciences Discussions 2021, 1-37, 2021 | 103 | 2021 |
| Streamflow response to climate change in the Greater Horn of Africa FA Hirpa, L Alfieri, T Lees, J Peng, E Dyer, SJ Dadson Climatic Change 156, 341-363, 2019 | 42 | 2019 |
| Benchmarking Data-Driven Rainfall-Runoff Models in Great Britain: A comparison of LSTM-based models with four lumped conceptual models T Lees, M Buechel, B Anderson, L Slater, S Reece, G Coxon, SJ Dadson Hydrology and Earth System Sciences 25 (10), 2021 | 34 | 2021 |
| Deep learning for vegetation health forecasting: a case study in Kenya T Lees, G Tseng, C Atzberger, S Reece, S Dadson Remote Sensing 14 (3), 698, 2022 | 22 | 2022 |
| Observations of the Turkana jet and the east African dry tropics: the RIFTJet field campaign C Munday, S Engelstaedter, G Ouma, G Ogutu, D Olago, D Ong’ech, ... Bulletin of the American Meteorological Society 103 (8), E1828-E1842, 2022 | 11 | 2022 |
| A pan-African high-resolution drought index dataset, Earth Syst. Sci. Data, 12, 753–769 J Peng, S Dadson, F Hirpa, E Dyer, T Lees, DG Miralles, ... | 11 | 2020 |
| High resolution standardized precipitation evapotranspiration index (SPEI) Dataset for Africa J Peng, S Dadson, F Hirpa, E Dyer, T Lees, DG Miralles, ... Centre for Environmental Data Analysis 10, 2019 | 9 | 2019 |
| Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J Peng, S Kharbouche, JP Muller, O Danne, S Blessing, R Giering, ... Journal of Hydrology 580, 124245, 2020 | 6 | 2020 |
| A machine learning pipeline to predict vegetation health T Lees, G Tseng, S Dadson, A Hernández, CG Atzberger, S Reece Eighth International Conference on Learning Representations, 1-5, 2020 | 4 | 2020 |
| The Turkana Jet diurnal cycle in observations and reanalysis C Munday, S Engelstaedter, R Washington, G Ogutu, D Olago, G Ouma, ... Journal of Climate 37 (18), 4633-4645, 2024 | 3 | 2024 |
| Deep learning for hydrological modelling: from benchmarking to concept formation T Lees University of Oxford, 2022 | 2 | 2022 |
| Deep learning for drought and vegetation health modelling: Demonstrating the utility of an entity-aware LSTM T Lees, G Tseng, S Reece, S Dadson EGU General Assembly Conference Abstracts, 8173, 2020 | 2 | 2020 |
| Using a deep learning framework to forecast reservoir water availability in India S Kuzma, L Kruitwagen, C Arderne, S Goswami, A Goyal, T Lees, ... World Resources Institute, 2023 | 1 | 2023 |
| Rainfall-Runoff Simulation and Interpretation in Great Britain using LSTMs T Lees, M Buechel, B Anderson, L Slater, S Reece, G Coxon, S Dadson EGU General Assembly Conference Abstracts, EGU21-2778, 2021 | 1 | 2021 |
| Using a Deep Learning Framework to Forecast Reservoir Water Availability in India SB Samantha Kuzma, Lucas Kruitwagen, Christopher Arderne, Sahana Goswami ... https://www.wri.org/research/using-deep-learning-framework-forecast …, 2023 | | 2023 |
| Wave2Web: Near-real-time reservoir availability prediction for water security in India L Kruitwagen, C Arderne, T Lees, L Thalheimer, S Kuzma, S Basak EarthArXiv, 2022 | | 2022 |
