Next Article in Journal
First Evidences of Methyl Chloride (CH3Cl) Transport from the Northern Italy Boundary Layer during Summer 2017
Previous Article in Journal
A Review and Insights for Eleven Years of Urban Microclimate Research Towards a New Egyptian ERA of Low Carbon, Comfortable and Energy-Efficient Housing Typologies
Previous Article in Special Issue
Impacts of Climate Change and Remote Natural Catastrophes on EU Flood Insurance Markets: An Analysis of Soft and Hard Reinsurance Markets for Flood Coverage
Open AccessPerspective

A Vision for Hydrological Prediction

European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
IRSTEA, Université Paris-Saclay, INRAE, UR HYCAR, 91190 Saint-Aubin, Antony, France
Swedish Meteorological and Hydrological Institute, SE-60176 Norrköping, Sweden
Department M2—Water Balance, Forecasting and Predictions, Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
Centre for Ecology & Hydrology, Wallingford, OX10 8BB, UK
Geography Department, Loughborough University, Loughborough, LE11 3TU, UK
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK
Deltares, 2629 HV Delft, The Netherlands
Hydrology and Quantitative Water Management Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands
Department of Meteorology, University of Reading, Reading RG6 6UR, UK
Department of Earth Sciences, Uppsala University, SE-751 05 Uppsala, Sweden
Centre of Natural Hazards and Disaster Science, CNDS, SE-751 05 Uppsala, Sweden
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(3), 237;
Received: 11 February 2020 / Revised: 24 February 2020 / Accepted: 25 February 2020 / Published: 28 February 2020
IMproving PRedictions and management of hydrological EXtremes (IMPREX) was a European Union Horizon 2020 project that ran from September 2015 to September 2019. IMPREX aimed to improve society’s ability to anticipate and respond to future extreme hydrological events in Europe across a variety of uses in the water-related sectors (flood forecasting, drought risk assessment, agriculture, navigation, hydropower and water supply utilities). Through the engagement with stakeholders and continuous feedback between model outputs and water applications, progress was achieved in better understanding the way hydrological predictions can be useful to (and operationally incorporated into) problem-solving in the water sector. The work and discussions carried out during the project nurtured further reflections toward a common vision for hydrological prediction. In this article, we summarized the main findings of the IMPREX project within a broader overview of hydrological prediction, providing a vision for improving such predictions. In so doing, we first presented a synopsis of hydrological and weather forecasting, with a focus on medium-range to seasonal scales of prediction for increased preparedness. Second, the lessons learned from IMPREX were discussed. The key findings were the gaps highlighted in the global observing system of the hydrological cycle, the degree of accuracy of hydrological models and the techniques of post-processing to correct biases, the origin of seasonal hydrological skill in Europe and user requirements of hydrometeorological forecasts to ensure their appropriate use in decision-making models and practices. Last, a vision for how to improve these forecast systems/products in the future was expounded, including advancing numerical weather and hydrological models, improved earth monitoring and more frequent interaction between forecasters and users to tailor the forecasts to applications. We conclude that if these improvements can be implemented in the coming years, earth system and hydrological modelling will become more skillful, thus leading to socioeconomic benefits for the citizens of Europe and beyond. View Full-Text
Keywords: IMPREX; extreme hydrometeorological events; hydrological modelling; Numerical Weather Prediction; global earth observations; users IMPREX; extreme hydrometeorological events; hydrological modelling; Numerical Weather Prediction; global earth observations; users
Show Figures

Figure 1

MDPI and ACS Style

Lavers, D.A.; Ramos, M.-H.; Magnusson, L.; Pechlivanidis, I.; Klein, B.; Prudhomme, C.; Arnal, L.; Crochemore, L.; Van Den Hurk, B.; Weerts, A.H.; Harrigan, S.; Cloke, H.L.; Richardson, D.S.; Pappenberger, F. A Vision for Hydrological Prediction. Atmosphere 2020, 11, 237.

AMA Style

Lavers DA, Ramos M-H, Magnusson L, Pechlivanidis I, Klein B, Prudhomme C, Arnal L, Crochemore L, Van Den Hurk B, Weerts AH, Harrigan S, Cloke HL, Richardson DS, Pappenberger F. A Vision for Hydrological Prediction. Atmosphere. 2020; 11(3):237.

Chicago/Turabian Style

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.; Harrigan, Shaun; Cloke, Hannah L.; Richardson, David S.; Pappenberger, Florian. 2020. "A Vision for Hydrological Prediction" Atmosphere 11, no. 3: 237.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop