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Category: data assimilation

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

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 of valuable Earth Observations (EO), in terms of spatial coverage and temporal frequencies that are impossible to achieve with direct measurements. Such observations have been used in various disciplines, including also hydrological modelling, for instance to improve process understanding through tailored model parameterisation and performance assessment. In addition EOs have been used to (better) initialise the model states which further…

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Satellite inspired hydrology in an uncertain future – a joint H SAF and HEPEX workshop

Satellite inspired hydrology in an uncertain future – a joint H SAF and HEPEX workshop

When: 25-28 November 2019 Where: ECMWF , Reading, UK Five years ago, H SAF and HEPEX organised a joint workshop on “Coupled hydrology” at ECMWF, and now it is time to revisit the subject. Last time around the workshop was split into first an H SAF part, followed by a joint session and finished with a HEPEX workshop. This time the idea is to have joint sessions all through the workshop to further the collaboration between the two communities and…

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Ensemble prediction: past, present and future

Ensemble prediction: past, present and future

Contributed by Fredrik Wetterhall and Roberto Buizza, ECMWF The work of producing meteorological ensemble forecasts started 25 years ago at ECMWF and NCEP, and it sparked a revolution in both weather forecasts and its many applications. To celebrate this occasion, more than 100 people from across the world joined the 28 speakers at ECMWF’s Annual Seminar 11-14 September held in Reading, UK. The theme was “Ensemble prediction: past, present and future” and the four days where filled with presentations and…

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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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WhatsApp chat between a forecaster and a modeller in hydrology

WhatsApp chat between a forecaster and a modeller in hydrology