Assimilating multi-site measurements for semi-distributed hydrological model updating

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

“…They found that, for the considered case study, the hydrologic process representation for the upper part of the basin is the major source of uncertainty. In Xie and Zhang (2010), Rakovec et al (2012), Lee et al (2012) and Chen et al (2012) the distributed streamflow observations were assimilated in hydrological models with different structures. Overall, the authors found that assimilation of observations from inner points of the basin helps to further improve the hydrograph estimation.…”

“…Blöschl et al (2008) proposed streamflow assimilation in grid-based operational flood forecasting systems; however they did not analyse the effect of varying distributed streamflow observations within the river basin. Recently, various authors assessed the effect of interior discharge gauges on hydrological forecasts (Xie and Zhang, 2010;Lee et al, 2011a;Chen et al, 2012;Rakovec et al, 2012;Lee et al, 2012;Mendoza et al, 2012;Mazzoleni et al, 2015aMazzoleni et al, , 2016.…”

A conceptual data model coupling with physically-based distributed hydrological models based on catchment discretization schemas

“…ESSI used the innovative integration of the infiltration excess and saturated excess runoff-producing method to construct a physical mechanism of the general rainfall-runoff scheme. This method solved the problem associated with the dependency of the traditional hydrological model on the basin's weather conditions (Chen et al, 2012). ESSI adopts a grid-based discretization schema for runoff generation and routing calculation (see Figure 3).…”

Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil

“…Data assimilation methods with applications of discharge data into distributed hydrological models are more abundant (WEERTS; EL SERAFY, 2006;CLARK et al, 2008;RAKOVEC et al, 2012;CHEN et al, 2012;DECHANT;CHEN et al, 2013;DUMEDAH;COULIBALY, 2013;ZHANG et al, 2014;MORADKHANI et al, 2005a;MORADKHANI et al, 2005b;SEO et al, 2009;ZHANG, 2010;PAUWELS;DE LANNOY, 2009;ERCOLANI;CASTELLI, 2017). However, recent advances in remote sensing encouraged the use of observations such as radar altimetry to estimate river levels (PAIVA et al, 2013b;ANDREADIS et al, 2007;BIANCAMARIA et al, 2011), microwave radiation to estimate soil humidity (NAGARAJAN et al, 2011;YAN;MORADKHANI, 2016), remote observation to infer the properties of snow as an extension of large scale coverage (ANDREADIS; LETTENMAIER, 2006), among others.…”