Gridded satellite precipitation datasets are useful in hydrological applications as they cover large regions with high density. However, not accurate the sense that do agree ground-based measurements. An established means for improving their accuracy is to correct them by adopting machine learning algorithms. This correction takes form of a regression problem, which measurements have role depen...

Inadequate climate data stations often make hydrological modelling a rather challenging task in data-sparse regions. Gridded can be used as an alternative; however, their accuracy replicating the climatology of region interest with low levels uncertainty is important to water resource planning. This study utilised several performance metrics and multi-criteria decision making assess widely grid...

The aim of this paper was to present a precipitation trend analysis using gridded data at annual, seasonal and monthly time scales over the Fez-Meknes region (northern Morocco) for period 1961–2019. Our results showed general decreasing an annual scale, especially mountain wetter parts region, which statistically significant in 72% grid points, ranging down ?30 mm per decade. A upward during au...

Fire season precipitation trends were investigated using daily rainfall data obtained from seventy-six Remote Automated Weather Stations (RAWS) across Idaho and Montana for the period 1982 to 2006. Missing and erroneous values from each station were corrected with gridded data from the North American Regional Reanalysis (NARR), creating temporally consistent, comparable records. Monthly precipi...

Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. Although this information might be appropriate for some research requirements, the extent at which local sites could be related to such information is very limited because of the resolution of the available satellite data. Downscaling techniqu...

Satellite-based precipitation estimates with high spatial and temporal resolution and large areal coverage provide a potential alternative source of forcing data for hydrological models in regions where conventional in situ precipitation measurements are not readily available. The La Plata basin in South America provides a good example of a case where the use of satellite-derived precipitation ...

East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen...