Posts

Machine learning for probabilistic hydrological forecasting

Contributed by Georgia Papacharalampous and Hristos Tyralis We would firstly like to thank HEPEX for giving us the opportunity to […]

Celebrating the new hydrological year with a new HEPEX blog year: Let’s co-generate the HEPEX blog global pattern

Happy New Hydrological Year!! According to USGS and based on meteorological and geographical factors, the hydrological year is defined as […]

“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

Contributed by Louise Arnal, Jess Neumann, Liz Stephens and Hannah Cloke This blog post is based on a paper recently […]

New water modelling to improve irrigation outlook accuracy

Contributed by Yating Tang1, Catherine Norwood2, Q J Wang1, Guy Ortlipp3, Mark Bailey3, and Kirsti Hakala1. Goulburn-Murray Water (GMW), Australia’s […]

Where did the scientific method go?

... And can we please bring it back? Contributed by Marie-Amélie Boucher (Université de Sherbrooke, Canada)  I like the scientific […]

How many zeros is too many for reliable streamflow predictions?

Contributed by Mark Thyer, David McInerney and Dmitri Kavetski, University of Adelaide. Ephemeral catchments, where there are days with zero […]