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Journal article
Open Access
Can assimilation of crowdsourced data in hydrological modelling improve flood prediction
Creators
- 1. UNESCO-IHE Institute for Water Education
- 2. Deltares, Delft, the Netherlands
- 3. Alto Adriatico Water Authority, Venice, Italy
- 4. Delft University of Technology
Description
Monitoring stations have been used for decades to properly measure hydrological variables and better predict floods. To this end, methods to incorporate these observations into mathematical water m ...
Open Access
Licence Attribution (CC BY)
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Publication Details
Journal article
Journal:
Hydrology and Earth System Sciences
Publisher:
Copernicus GmbH
ISSN:
16077938
Volume:
21
Pages:
839-861
Persistent Identifiers
References
Krstanovic, P. F. and Singh, V. P.: Evaluation of rainfall networks using entrop...
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Ide, K., Courtier, P., Ghil, M., and Lorenc, A. C.: Unifed notation for data ass...
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Solomatine, D. P. and Dulal, K. N.: Model trees as an alternative to neural netw...
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Au, J., Bagchi, P., Chen, B., Martinez, R., Dudley, S. A., and Sorger, G. J.: Me...
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Engel, S. R. and Voshell Jr., J. R.: Volunteer biological monitoring: can it acc...
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