Forecast techniques

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 […]

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 […]

Can we achieve seasonally coherent forecasts given limited NWP DATA – across a continental domain?

Contributed by Kirsti Hakala1, QJ Wang1, Qichun Yang1 and David Robertson2. Reliable weather forecasts are critical for the planning and […]

Assimilation of in-situ and satellite data in hydrological predictions – Can we add value?

Contributed by Jude Musuuza (SMHI). The increased focus on satellite missions in recent years has resulted in a rich source […]