Precipitation is considered a crucial component in the hydrological cycle and changes in its
spatial pattern directly influence the water resources. We compare different interpolation …

Precipitation data availability plays a crucial role in many climatic, hydrological and
agricultural-related applications. In this study, the use of alternative data sources (ie …

Precise rainfall estimations at spatio-temporal resolution are vital for numerous applications,
including agricultural monitoring, hydrometeorology, and water resources management …

In the last decades, Northern Patagonia (Argentina) has shown linear trends to drier
conditions in distinct hydrological variables. Therefore, North Patagonia climate changes …

High fidelity gridded temperature datasets are difficult to obtain for areas with sparse
coverage of meteorological stations given that sparsity of stations is known to introduce …

Summer precipitation is a crucial variable for Subtropical Argentina (STAr) from a social and
economic perspective. Monthly forcing mechanism variations of subregional summer …

Landscape management requires spatially interpolated data, whose outcomes are strictly
related to models and geostatistical parameters adopted. This paper aimed to implement …

This study assesses the intensity, spatial distribution and temporal variability of extreme
precipitation events (EPEs) on different time scales relevant to agriculture and water …

Precipitation is the most important climate variable in hydrological practices, so accurate
estimation of its intensity and volume is very crucial for hydrological applications. Remote …

Accurate precipitation records are an essential component when monitoring the climate and
studying its changes. However, analysis is typically limited by the large quantities of missing …