The eWaterCycle project

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The eWaterCycle project

Conference Paper (2017)

Author(s)

N Drost (Netherlands eScience Center)

Rolf Hut (TU Delft - Civil Engineering & Geosciences)

Maarten Van Meersbergen (Netherlands eScience Center)

Edwin H. Sutanudjaja (Universiteit Utrecht)

Marc Bierkens (Universiteit Utrecht)

Nick Van De Giesen (TU Delft - Civil Engineering & Geosciences)

Research Group

Water Resources

DOI related publication

https://doi.org/10.1109/eScience.2016.7870930 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:a2b92768-0128-426f-b1c6-85d1ac114ccd

More Info

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Publication Year

2017

Language

English

Research Group

Water Resources

Article number

7870930

Pages (from-to)

430

ISBN (electronic)

9781509042722

Event

12th IEEE International Conference on e-Science, e-Science 2016 (2016-10-23 - 2016-10-27), Baltimore, United States

Downloads counter

209

Abstract

Water related catastrophes such as floods are putting more and more people at risk. Moreover this has a large economic impact as well. For example, in 2011 a flood in Bangkok wiped out a large number of harddrive manufacturing plants, leading to a global shortage and increase in price for a two year period. We have a decent grasp on forecasting the weather, especially on the short to medium term (a few days to a week). We have no such grasp for flood forecasting, especially not on the global scale.