Rain gauge and satellite-retrieved data have been widely used in basin-scale hydrological applications. While rain gauges provide accurate measurements that are generally unevenly distributed in space, satellites offer spatially regular observations and common error prone retrieval. Comparative evaluation of gauge-based and satellite-based data is necessary in hydrological studies, as precipita...

AU1 Hydrologists and other users need to know the uncertainty of the satellite rainfall datasets across the range of time–space scales over the whole domain of the dataset. Here, ‘‘uncertainty’’ refers to the general concept of the ‘‘deviation’’ of an estimate from the reference (or ground truth) where the deviation may be defined in multiple ways. This uncertainty information can provide insig...

This contribution presents some initial results from investigations into detection of weather radar clutter by data fusion with satellite-based nowcasting products. Weather radar data from three C-band Doppler weather radars of the Danish Meteorological Institute has been extracted for cases of sea and land clutter caused by anomalous propagation as well as cases of clutter free data. In additi...

Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal gaps of in-situ gauging networks, but estimation biases limit their reliable applications in hydrological monitoring modelling. To correct occurrence intensity simultaneously, this study develops a three-stage blending approach to integrate three multi-satellite datasets (IMERG Final, TMPA 3B42V7 PERSIANN...

Abstract The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM; IMERG) is a high-resolution gridded precipitation dataset widely used around the world. This study assessed performance of half-hourly IMERG v06 Early and Final Runs over 5-yr period versus 19 high-quality surface stations in Great Lakes region North America. assessment not only looked at occurrence am...

Satellite-based precipitation products (SBPPs) are essential for rainfall quantification in areas where ground-based observation is scarce. However, the accuracy of SBPPs greatly influenced by complex topography. This study evaluates performance Integrated Multi-satellite Retrievals GPM (IMERG) and Global Satellite Mapping Precipitation (GSMaP) characterizing a mountainous catchment southwester...