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Content archived on 2024-05-27

Innovative in-situ snow parameter sensing system allowing accurate remotely sensed data calibration for improved forecasting of hydro power resources

Objective

The global goal is improving the energy production from renewable resources. Hydro power facilities fulfil this demand attractively and at the same time help to meet the Kyoto objectives of CO_2 reduction. Efficient energy management of hydro power resources requires accurate forecasting of water capacity from snow melting and run- off. The filling prognoses from snow for hydro power reservoirs is today too inaccurate on the order of 30 to 50 %, as present instruments measure only about half of the snow fall. Because of this the calibration of remotely sensed data e.g. from satellite or aircraft is inaccurate. The prognosis calculations involve snow models which describe the metamorphose, compacting, melting, refreezing, percolation and water saturation, which determine the melting and run-off times.

Fields of science (EuroSciVoc)

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Programme(s)

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Call for proposal

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Third Call - 31
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Funding Scheme

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Coordinator

FORSCHUNGSZENTRUM KARLSRUHE GMBH
EU contribution
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Address
Hermann-von-Helmholtz-Platz 1
EGGENSTEIN-LEOPOLDSHAFEN
Germany

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Total cost

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Participants (6)

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