Author Archives: Maria-Helena Ramos

Flood memory and historical marks of high waters

Contributed by Maria-Helena Ramos (Irstea, France) Last year, the Hepex Portal published a blog post by Richard Davies from about the UK and Ireland floods in December 2015 and January 2016. When navigating through the floodlist website, I found … Continue reading

Posted in data systems, floods, historical | Leave a comment

HEPEX 2016 Year in Review

Contributed by Maria-Helena Ramos, QJ Wang, Andy Wood and Fredrik Wetterhall (Hepex co-chairs) The Hepex Portal published 46 posts in 2016. Here below the year in review, with its highlights. A hot topic for 2016? Certainly, the winner is: Global, … Continue reading

Posted in activities | Leave a comment

The family of the GR hydrological models – Interview with Charles Perrin and Vazken Andréassian

Contributed by Guillaume Thirel and Maria-Helena Ramos, members of the Irstea Guest Columnist Team You may have already heard of one of the GR models developed by the Catchment Hydrology research group at Irstea in the Centre of Antony (France). Or you … Continue reading

Posted in columnist, hydrologic models, interviews | 2 Comments

Flood forecasting in the UK: what should we learn from the winter 2015 floods? Interview with Hannah Cloke and David Lavers

Contributed by Louise Arnal In November 2014, a HEPEX post entitled “Flood forecasting in the UK: what should we learn from the Winter 2013/14 floods?” was written by Liz Stephens and Hannah Cloke (it can be found here). This post … Continue reading

Posted in floods, interviews, risk management | Leave a comment

The Hydrological Forecasting Quiz: prepare yourself for EGU 2017

Abstract submission for the European Geosciences Union (EGU) annual assembly in 2017  is open. Do you want to participate, but you don’t know to which session submit an abstract ? Here’s a quiz to help you! Click below on the … Continue reading

Posted in activities, announcements-events, meetings | Leave a comment

The first online HEPEX game: try it yourself!

Contributed by Louise Arnal,University of Reading & ECMWF On September 26, 2016, at the IMPREX (IMproving PRedictions and management of hydrological EXtremes; a Horizon 2020 project) General Assembly in Crete, around 50 participants took part in an online educational game … Continue reading

Posted in activities, decision making, floods, forecast users | 4 Comments

Ensembles of hydrological modellers can foster advances – Example with a participative workshop

Contributed by Guillaume Thirel, member of the IRSTEA Columnist Team The 2013 IAHS General Assembly in Göteborg saw two very interesting events happening: The biennal IAHS ultimate frisbee tournament, organised by Irstea since 2007 [1], that featured some of the Prediction … Continue reading

Posted in hydrologic models | Leave a comment

Crowdsourced data for flood hydrology – Interview with flood chasers in France and Argentina

Contributed by MH Ramos, member of the IRSTEA Columnist Team A recent paper published in the Journal of Hydrology has drawn my attention: Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand. The paper deals … Continue reading

Posted in columnist, data systems, flash floods, floods, monitoring | Leave a comment

Can a single hydrological model structure provide realistic simulations everywhere? Insights from the Bertinoro workshop

Contributed by Nans Addor and Gemma Coxon In April 2016, thirty-one scientists and one mankini-clad Martyn Clark (check here for a recent HEPEX interview with M. Clark) ascended the steep hill on which the italian town of Bertinoro is perched to attend … Continue reading

Posted in hydrologic models, multimodel | 1 Comment

The quest for better global precipitation data

Contributed by Hylke Beck, Albert van Dijk, Ad de Roo, Jaap Schellekens, Diego Miralles, Brecht Martens, and Vincenzo Levizzani Information on precipitation is essential for almost any hydrological study. Unfortunately, precipitation is also one of the most difficult to estimate … Continue reading

Posted in data systems | 5 Comments