Data-infilling in daily mean river flow records: first results using a visual analytics tool (gapIT)
L. Giustarini, O. Parisot, M. Ghoniem, I. Trebs, N. Médoc, O. Faber, R. Hostache, P. Matgen, and B. Otjacques
in EGU General Assembly 2015, 12-17 April 2015, Vienna, Austria, Geophysical Research Abstracts, vol. 17, EGU2015-10462, 2015
Missing data in river flow records represent a loss of information and a serious drawback in water management. An incomplete time series prevents the computation of hydrological statistics and indicators. Also, records with data gaps are not suitable as input or validation data for hydrological or hydrodynamic modelling.