Forecast techniques

HEPEX @ MODSIM2023: Invitation to submit

MODSIM2023 will be held in tropical Darwin this year 9-13 July. For those who aren’t aware, MODSIM is the biannual […]

ZOOMing into the Age of Digital Collaborations

Contributed by Bart van Osnabrugge, Antara Dasgupta, Louise Arnal, Rebecca Emerton and Shaun Harrigan Are physical meetings strictly necessary to foster […]

If you had to build a probabilistic streamflow forecasting chain from scratch, what components would you pick up?

Contributed by Joseph Bellier Take a meteorological ensemble, use it as input of a hydrological model, but then what? There […]

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 […]

“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 […]