| GSDR: a global sub-daily rainfall dataset E Lewis, H Fowler, L Alexander, R Dunn, F McClean, R Barbero, ... Journal of Climate 32 (15), 4715-4729, 2019 | 94 | 2019 |
| Implications of using global digital elevation models for flood risk analysis in cities F McClean, R Dawson, C Kilsby Water Resources Research 56 (10), e2020WR028241, 2020 | 57 | 2020 |
| Quality control of a global hourly rainfall dataset E Lewis, D Pritchard, R Villalobos-Herrera, S Blenkinsop, F McClean, ... Environmental Modelling & Software 144, 105169, 2021 | 28 | 2021 |
| Intercomparison of global reanalysis precipitation for flood risk modelling F McClean, R Dawson, C Kilsby Hydrology and Earth System Sciences Discussions 2021, 1-13, 2021 | 5 | 2021 |
| Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website T O'Hara, F McClean, R Villalobos Herrera, E Lewis, HJ Fowler Hydrology Research 54 (4), 547-556, 2023 | 2 | 2023 |
| Selecting Good Quality Official and Citizen Science Rain Gauge Data and Blending with Radar for More Accurate Rainfall Representation T O'Hara, E Lewis, F McClean, H Fowler, G Parkin EGU General Assembly Conference Abstracts, EGU22-7879, 2022 | 1 | 2022 |
| Broad-scale flood modelling in the cloud: validation and sensitivities from hazard to impact FC McClean Newcastle University, 2019 | 1 | 2019 |
| Utilising Citizen Science Rain Data for Improved Rainfall Estimation in Urban Pluvial Flooding T O'Hara, G Parkin, H Fowler, E Lewis, F McClean, J Brown EGU General Assembly Conference Abstracts, EGU21-8734, 2021 | | 2021 |
| Validation of broad-scale hydrodynamic flood models, using both extent and discharge. F McClean, R Dawson, C Kilsby Geophysical Research Abstracts 21, 2019 | | 2019 |
