Data-model integration 1

This chapter presents results of data-model integration methods applied to the Rijnland case study. Data-model integration methods are part of the overall framework to integrate multiple available data sources in hydrological modelling. Each of the data sources should be tested to, when used to build, parameterise, or force the hydrological model, result in an acceptable performance. The chapter discusses hydrological model results with different combinations of data sources for catchment parameters and hydrometeorological input. Precipitation is one of the primary inputs for hydrological model. The hydrological model requires a complete set of data without no-data cells; hence, the no-data cells in the satellite’s evapotranspiration maps need to be filled in. The hydrological model is run with reference evapotranspiration as input to calculate discharge and actual evapotranspiration. The chapter analyses the use of evapotranspiration from Earth observation as a direct input to the spatially distributed SIMGRO model of Rijnland.