Louise Arnal
Louise Arnal
Postdoctoral Fellow, University of Saskatchewan, Canmore Coldwater Lab
Verified email at - Homepage
Cited by
Cited by
Skilful seasonal forecasts of streamflow over Europe?
L Arnal, HL Cloke, E Stephens, F Wetterhall, C Prudhomme, J Neumann, ...
Hydrology and Earth System Sciences 22 (4), 2057-2072, 2018
Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1. 0
R Emerton, E Zsoter, L Arnal, HL Cloke, D Muraro, C Prudhomme, ...
Geoscientific Model Development 11 (8), 3327-3346, 2018
Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game
L Arnal, MH Ramos, E Coughlan de Perez, HL Cloke, E Stephens, ...
Hydrology and Earth System Sciences 20 (8), 3109-3128, 2016
An efficient approach for estimating streamflow forecast skill elasticity
L Arnal, AW Wood, E Stephens, HL Cloke, F Pappenberger
Journal of Hydrometeorology 18 (6), 1715-1729, 2017
A vision for hydrological prediction
DA Lavers, MH Ramos, L Magnusson, I Pechlivanidis, B Klein, ...
Atmosphere 11 (3), 237, 2020
Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity
JL Neumann, L Arnal, RE Emerton, H Griffith, S Hyslop, S Theofanidi, ...
Geoscience Communication 1 (1), 35-57, 2018
“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England
L Arnal, L Anspoks, S Manson, J Neumann, T Norton, E Stephens, ...
Geoscience Communication 3 (2), 203-232, 2020
The 2013/14 Thames basin floods: Do improved meteorological forecasts lead to more skillful hydrological forecasts at seasonal time scales?
J Neumann, L Arnal, L Magnusson, H Cloke
Journal of Hydrometeorology 19 (6), 1059-1075, 2018
EFAS upgrade for the extended model domain–technical documentation
L Arnal, SS Asp, C Baugh, A De Roo, J Disperati, F Dottori, R Garcia, ...
Publications Office of the European Union, Luxembourg 10, 806324, 2019
Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020)
V Vionnet, C Mortimer, M Brady, L Arnal, R Brown
Earth System Science Data 13 (9), 4603-4619, 2021
Global flood forecasting for averting disasters worldwide
FA Hirpa, F Pappenberger, L Arnal, CA Baugh, HL Cloke, E Dutra, ...
Global flood hazard: applications in modeling, mapping, and forecasting, 205-228, 2018
Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models
L Slater, L Arnal, MA Boucher, AYY Chang, S Moulds, C Murphy, ...
Hydrology and Earth System Sciences Discussions, 1-35, 2022
The sensitivity of sub-seasonal to seasonal streamflow forecasts to meteorological forcing quality, modelled hydrology and the initial hydrological conditions
L Arnal, H Cloke, L Magnusson, B Klein, D Meissner, A de Tomas, ...
IRSTEA, 2019
An intercomparison of flood forecasting models for the Meuse River basin
L Arnal
Master II d'Hydrologie, Deltares, Vrije Universiteit Amsterdam, 2014
Comparing the impact for hydrology of the new ERA5 reanalyses dataset over ERA-Interim for 8 hydrological models in 6 catchments using the eWaterCycle community modelling …
R Hut, N Drost, J Aerts, L Bouaziz, W van Verseveld, B Jagers, F Baart, ...
EGU General Assembly Conference Abstracts, 10219, 2020
Does the application of multiple hydrological models improve seasonal streamflow forecasting skill?
B Klein, I Pechlivanidis, L Arnal, L Crochemore, D Meissner, ...
EGU General Assembly Conference Abstracts, 20187, 2020
Role-play games to advance probabilistic forecasting in hydrology
MH Ramos, SJ van Andel, F Pappenberger, L Crochemore, A Wood, ...
EGU General Assembly Conference Abstracts, 15793, 2018
Unwritten Rules of Academia: Student Perspectives on Hydrologic Science
AM Gomez, IY Padilla, E Foufoula-Georgiou, MA Zimmer, L Arnal
Frontiers in Hydrology Meeting 2022, 2022
A benchmark for probabilistic seasonal streamflow forecasting over North America
L Arnal, M Clark, V Fortin, A Pietroniro, V Vionnet, P Whitfield, A Wood
EGU22, 2022
Ensemble Data Assimilation Methods for Improved Snow Estimation and Streamflow Prediction in Mountainous Terrain
D Casson, W Knoben, L Arnal, S Gharari, B van Osnabrugge, G Tang, ...
IAHS2022, 2022
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