Dr. Louise Arnal


PhD, 2019: Environmental Science, University of Reading, Reading, United Kingdom.

MSc, 2014: Hydrology, Vrije Universiteit, Amsterdam, The Netherlands.

BSc, 2012: Earth Sciences, Université Pierre et Marie Curie, Paris, France.


2023-present: Research Associate, University of Saskatchewan, Canmore, Alberta, Canada.

2020-2023: Postdoctoral Fellow, University of Saskatchewan, Canmore, Alberta, Canada.

2014-2019: Scientist, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.

Short Bio

Louise is a Research Associate with Global Water Futures at the University of Saskatchewan in Canmore. Her research focuses on advancing the science and practice of ensemble hydrological forecasting. She has published her work in leading international journals, including Hydrology and Earth System Sciences, Geoscience Communication and Journal of Hydrometeorology. As an artist and scientist, Louise aims to further science engagement through the fusion of science and art. She is the lead curator of the Virtual Water Gallery science and art project. Louise is also a co-editor of ConciliARTe, as part of the Consilience science and poetry journal, an active member of the HEPEX global community in hydrological ensemble prediction and an Associate Editor of Geoscience Communication.


Arnal Louise, Pietroniro Alain C., Pomeroy John W., Fortin Vincent, Casson David R., Stadnyk Tricia A., Rokaya Prabin, Durnford Dorothy, Friesenhan Evan, Clark Martyn, 2023: Towards a coherent flood forecasting framework for Canada: Local to global implications. Journal of Flood Risk Management. doi: 10.1111/jfr3.12895

Dasgupta Antara, Arnal Louise, Emerton Rebecca, Harrigan Shaun, Matthews Gwyneth, Muhammad Ameer, O’Regan Karen, Pérez-Ciria Teresa, Valdez Emixi, van Osnabrugge Bart, et al., 2023: Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop. Journal of Flood Risk Management, doi: 10.1111/jfr3.12880

Slater Louise, Arnal Louise, Boucher Marie-Amélie, Chang Annie Y.-Y., Moulds Simon, Murphy Conor, Nearing Grey, Shalev Guy, Shen Chaopeng, Speight Linda, et al., 2022: Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models. Hydrol. Earth Syst. Sci. Discuss. [preprint], doi: 10.5194/hess-2022-334, in review

Vionnet Vincent, Mortimer Colleen, Brady Mike, Arnal Louise, Brown Ross, 2021: Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020). Earth System Science Data, doi: 10.5194/essd-13-4603-2021

Arnal Louise, Anspoks Liz, Manson Susan, Neumann Jessica, Norton Tim, Stephens Elisabeth, Wolfenden Louise, Cloke Hannah Louise, 2020: “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. Geoscience Communication, doi: 10.5194/gc-3-203-2020

Lavers David A., Ramos Maria-Helena, Magnusson Linus, Pechlivanidis Ilias, Klein Bastian, Prudhomme Christel, Arnal Louise, Crochemore Louise, Van Den Hurk Bart, Weerts Albrecht H., et al., 2020: A Vision for Hydrological Prediction. Atmosphere, doi: 10.3390/atmos11030237

Arnal Louise, Cloke Hannah L., Stephens Elisabeth, Wetterhall Fredrik, Prudhomme Christel, Neumann Jessica, Krzeminski Blazej, Pappenberger Florian, 2018: Skilful seasonal forecasts of streamflow over Europe?. Hydrology and Earth System Sciences, doi: 10.5194/hess-22-2057-2018

Emerton Rebecca, Zsoter Ervin, Arnal Louise, Cloke Hannah L., Muraro Davide, Prudhomme Christel, Stephens Elisabeth M., Salamon Peter, Pappenberger Florian, 2018: Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0. Geoscientific Model Development, doi: 10.5194/gmd-11-3327-2018

Neumann Jessica, Arnal Louise, Magnusson Linus, Cloke Hannah, 2018: The 2013/14 Thames Basin Floods: Do Improved Meteorological Forecasts Lead to More Skillful Hydrological Forecasts at Seasonal Time Scales?. Journal of Hydrometeorology, doi: 10.1175/JHM-D-17-0182.1

Neumann Jessica L., Arnal Louise, Emerton Rebecca E., Griffith Helen, Hyslop Stuart, Theofanidi Sofia, Cloke Hannah L., 2018: Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity. Geoscience Communication, doi: 10.5194/gc-1-35-2018

Arnal Louise, Wood Andrew W., Stephens Elisabeth, Cloke Hannah L., Pappenberger Florian, 2017: An Efficient Approach for Estimating Streamflow Forecast Skill Elasticity. Journal of Hydrometeorology, doi: 10.1175/JHM-D-16-0259.1

Arnal Louise, Ramos Maria-Helena, Coughlan de Perez Erin, Cloke Hannah L., Stephens Elisabeth, Wetterhall Fredrik, van Andel Schalk Jan, Pappenberger Florian, 2016: Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game. Hydrology and Earth System Sciences, doi: 10.5194/hess-20-3109-2016

Science Engagement

Virtual Water Gallery. Launched online April 2021. A science and art space bringing together over 30 artists and water experts from across Canada to collectively reflect on water challenges.

Gambling with Floods? Exhibition at The Museum of English Rural Life (The MERL; Reading, UK), November 2019. A science and art immersive installation about predicting floods in nature’s chaos.

IMPREX Game. Step in the boots of a flood manager and protect your city from flooding using probabilistic forecasts in this serious game.

Pay For a Forecast. A HEPEX serious game about the perceived value of forecasts by decision-makers for flood protection mitigation.

Dr. Louise Arnal

Research Associate, Centre for Hydrology, Coldwater Laboratory


We seek to improve understanding and predictions of hydrological processes at scales from hillslopes to continents

Our Home

Coldwater Laboratory
1151 Sidney Street, unit 116
Canmore, Alberta, T1W 3G1, CANADA

We acknowledge we are on Treaty 6 and 7 Territory and the Homeland of the Métis, Tsuut'ina, Stoney, Ktunaxa and the Niitsitapi (Blackfoot). We pay our respect to the ancestors of this place and reaffirm our relationship with one another.