Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Predicting discharge in ungauged catchments requires knowledge on the distribution and spatial heterogeneity of hydrological soil properties. Because hydrological soil information is not available on a European scale, we reclassified the S...

Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and 5 the foreseeable future, however, it is necessary to evalua...

Hydrological modelling plays a crucial role in the planning and management of water resources, most especially in water stressed regions where the need to effectively manage the available water resources is of critical importance. However, due to the complex, nonlinear and dynamic behaviour of hydro-climatic interactions, achieving reliable modelling of water resource systems and accurate proje...

21 Distributed hydrological models rely on a spatial discretization composed of homogeneous 22 units representing different areas within the catchment. Hydrological Response Units 23 (HRUs) typically form the basis of such a discretization. HRUs are generally obtained by 24 intersecting raster or vector layers of land uses, soil types, geology and sub-catchments. 25 Polylines maps representing ...

Achieving a successful long-term strategy for sustainable water resource management of the Murray-Darling Basin (MDB) involves improving our understanding of the integrated hydrological system and assessing the impacts of land use and climate change upon this system. A methodology is currently being developed with the potential for addressing these issues by way of a new satellite technology sy...

Spatial data infrastructures support the most common requirements of spatial information users –discovery, access, and visual overlay of datasets– however specialized users such as hydrological scientists require more advanced services for capturing, analyzing and processing huge volumes of data. To shift from locally-processed complex tasks to on-line, distributed service-data offers, we prese...

[1] An intensification of the hydrological cycle is a likely consequence of global warming. But changes in the hydrological cycle could affect sea-surface temperature by modifying diffusive ocean heat transports. We investigate this mechanism by studying a coupled general circulation model sensitivity experiment in which the hydrological cycle is artificially amplified. We find that the amplifi...