The demand for meteorological gridded datasets has increased within the last few years to
inform studies such those in climate, weather, and agriculture. These studies require those …

Highlights•Rain gauges networks in NEB tend to be deficient and scarce.•CHIRPS-derived
rainfall is validated against observations.•CHIRPS correlate quite well with …

In recent years, the Cerrado biome in Brazil (Brazilian savannah) has faced severe
environmental problems due to abrupt changes in land use/cover (LUC), causing increased …

In developing countries, an accurate representation of the spatio-temporal variability of
rainfall is currently severely limited, therefore, satellite-based rainfall estimates (SREs) are …

Droughts are complex natural phenomena that influence society's development in different
aspects; therefore, monitoring their behavior and future trends is a useful task to assist the …

Sub-daily rainfall information is essential for many hydrological applications, but ground-
based data availability is still an issue in poorly gauged regions worldwide. Satellite remote …

Rainfall data from the Global Precipitation Measurement (GPM) mission provide a new
source of information with high spatiotemporal resolution that overcomes the limitations of …

Climate change effects can have significant impacts worldwide. Extreme events can modify
water availability and agricultural production, making climate change planning an essential …

The performance of the Version 06B monthly Integrated Multi-satellite Retrievals for GPM
(IMERG) as well as three satellite precipitation products, including the Version 7 monthly …

To investigate the long-term characteristics of precipitation in Xinjiang, China, two long-term
monthly satellite precipitation datasets called CHIRPS (Climate Hazards Group Infrared …