Niall Quinn

发表

A New Automated Method for Improved Flood Defense Representation in Large‐Scale Hydraulic Models

C. Sampson, P. Bates, J. Neal, 2019, Water Resources Research.

Toward Global Stochastic River Flood Modeling

Dai Yamazaki, C. Sampson, P. Bates, 2020, Water Resources Research.

A flood inundation forecast of Hurricane Harvey using a continental-scale 2D hydrodynamic model

C. Sampson, P. Bates, J. Neal, 2019, Journal of Hydrology X.

The Spatial Dependence of Flood Hazard and Risk in the United States

Janet E. Heffernan, C. Sampson, P. Bates, 2019, Water Resources Research.

Effects of variability in probable maximum precipitation patterns on flood losses

Andreas Paul Zischg, P. Bates, J. Freer, 2018 .

The impact of different rainfall products on landscape modelling simulations

J. Freer, P. Molnar, N. Peleg, 2020, Earth Surface Processes and Landforms.

New estimates of flood exposure in developing countries using high-resolution population data

C. Sampson, P. Bates, O. Wing, 2019, Nature Communications.

The contribution to future flood risk in the Severn Estuary from extreme sea level rise due to ice sheet mass loss

P. Bates, M. Siddall, Niall Quinn, 2013 .

A rule based quality control method for hourly rainfall data and a 1 km resolution gridded hourly rainfall dataset for Great Britain: CEH-GEAR1hr

H. Fowler, P. Bates, J. Freer, 2018, Journal of Hydrology.

Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding From Intense Rainfall) Programme

Albert S. Chen, Joanne A. Waller, G. O'Donnell, 2019, Water.

Speight, L. J. (2019). Recommendations for improving integration in national end-to-end flood forecasting systems: An overview of the FFIR (Flooding From Intense Rainfall) programme. Water

Albert S. Chen, Joanne A. Waller, G. O'Donnell, 2019 .

A climate-conditioned catastrophe risk model for UK flooding

C. Sampson, P. Bates, J. Neal, 2023, Natural Hazards and Earth System Sciences.

Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates

I. Bolliger, K. Emanuel, C. Sampson, 2020, Water Resources Research.

Inequitable patterns of US flood risk in the Anthropocene

C. Sampson, P. Bates, J. Neal, 2022, Nature Climate Change.

DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology

Jim Freer, Niall Quinn, Thorsten Wagener, 2018, Geoscientific Model Development.

Modelling of tide and surge elevations in the Solent and surrounding waters: The importance of tide-surge interactions

P. Atkinson, N. Wells, Niall Quinn, 2012 .

New estimates of flood exposure in developing countries using high-resolution population data

C. Sampson, P. Bates, O. Wing, 2019, Nature Communications.

Combined modelling of US fluvial, pluvial and coastal flood hazard under current and future climates

I. Bolliger, K. Emanuel, C. Sampson, 2020 .

Assessing the temporal variability in extreme storm-tide time series for coastal flood risk assessment

Niall Quinn, Ivan D. Haigh, I. Haigh, 2014 .

Assessing the Impact of Seasonal Population Fluctuation on Regional Flood Risk Management

David J. Martin, Niall Quinn, Samantha Cockings, 2015, ISPRS Int. J. Geo Inf..

DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology

J. Freer, R. Woods, T. Wagener, 2018, Geoscientific Model Development.

Global application of a regional frequency 1 analysis on extreme sea levels

S. Muis, Niall Quinn, Thomas P. Collings, 2022 .

Use of Hydrological Models in Global Stochastic Flood Modeling

C. Sampson, P. Bates, J. Neal, 2022, Water Resources Research.

Developing a Fluvial and Pluvial Stochastic Flood Model of Southeast Asia

C. J. R. Murphy-Barltrop, Niall Quinn, Gaia Olcese, 2024, Water Resources Research.