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Author: Ilias Pechlivanidis

Forecasting over international borders: limitations and solutions for large-scale or continental forecasting systems

Forecasting over international borders: limitations and solutions for large-scale or continental forecasting systems

Contributed by Chantal Donnelly (SMHI), member of the SMHI Guest Columnist Team Global and continental forecasting schemes already exist and are used to inform disaster management in countries without sufficient national forecast systems of their own, as inputs to operational oceanographic models and for the general interest of citizens. I have been lucky enough to have worked with two operational European forecasting systems (setting up of E-HYPE and the WET tool, as an operational EFAS forecaster and testing E-HYPE in…

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A never-ending struggle – Improving spring melt runoff forecast via snow information

A never-ending struggle – Improving spring melt runoff forecast via snow information

Contributed by David Gustafsson (SMHI), member of the SMHI Guest Columnist Team As long as we can remember, the Swedish hydropower hydrologists have tried to improve the spring melt runoff predictions by integrating snow measurements in their forecast models. Various measurements techniques have been used: traditional snow surveys with snow tube sampling; snowmobile and helicopter borne ground-penetrating radar and gamma-ray sensors; laser-scanning; and of course numerous attempts with satellite data (Photo 1). The usual conclusions have been, “yes we can…

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A timeline of developments at SMHI’s hydrological forecasting and warning service

A timeline of developments at SMHI’s hydrological forecasting and warning service

Contributed by Göran Lindström (SMHI) and Henrik Spångmyr (SMHI, Midvatten AB), members of the SMHI Guest Columnist Team The Swedish Meteorological and Hydrological Institute (SMHI) has a long tradition in developing customized products and services, as well as 24/7 production of forecasts with early warnings. In this blog, we summarize the development over time of SMHI’s hydrological forecasting and warning service. The first hydrological forecasts at SMHI date back all the way to 1913. Statistical methods for converting winter precipitation…

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