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Thomas Lees
Thomas Lees
Bestätigte E-Mail-Adresse bei chch.ox.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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
2942019
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
1632021
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
1102021
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
972020
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
822021
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
352019
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
332021
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
212022
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, ...
102020
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
82019
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
72022
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
42020
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
42020
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
22020
Deep learning for hydrological modelling: from benchmarking to concept formation
T Lees
University of Oxford, 2022
12022
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
12021
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
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
Observations of the Turkana Jet and the East African Dry Tropics
C Munday, S Engelstaedter, G Ouma, G Ogutu, D Olago, D Ong’ech, ...
2022
Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework.
PJ Peng Jian, S Kharbouche, JP Muller, O Danne, S Blessing, R Giering, ...
2020
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