Microwave-based satellite rainfall products offer an opportunity to assess rainfall-related events for regions where rain-gauge stations are sparse, such as in Northeast Brazil (NEB). Accurate measurement of rainfall is vital for water resource managers in this semiarid region. In this work, the SM2RAIN-CCI rainfall data obtained from the inversion of the microwave-based satellite soil moisture (SM) observations derived from the European Space Agency (ESA) Climate Change Initiative (CCI), and ones from three state-of-the-art rainfall products (Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), Climate Prediction Center Morphing Technique (CMORPH), and Multi-SourceWeighted-Ensemble Precipitation (MSWEP)) were evaluated agai...
Satellite derived rainfall products are useful for drought and flood early warning and overcome the ...
Rain gauges, weather radars, satellite sensors and modelled data from weather centres are used opera...
This study evaluates the performance of four Near Real-Time (NRT) satellite rainfall products in est...
Microwave-based satellite rainfall products offer an opportunity to assess rainfall-related events f...
Microwave-based satellite soil moisture products enable an innovative way of estimating rainfall usi...
Variability in precipitation patterns in the northeast and southeast regions of Brazil are complex, ...
A NEW GLOBAL SCALE RAINFALL PRODUCT obtained from satellite soil moisture data through the SM2RAIN a...
Water is a basic resource for human life and understanding how it cycles in the environment is impor...
Accurate and long-term rainfall estimates are the main inputs for several applications, from crop m...
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite ra...
At present, satellite rainfall products, such as the Climate Hazards Group InfraRed Precipitation wi...
© 2018 Elsevier B.V. In developing countries, an accurate representation of the spatio-temporal vari...
The SM2RAIN (soil moisture to rain) model has been widely used for rainfall estimation worldwide. Ho...
The number of natural disasters triggered by extreme events is increasing worldwide and significantl...
Numerous satellite-based precipitation datasets have been successively made available. Their precipi...
Satellite derived rainfall products are useful for drought and flood early warning and overcome the ...
Rain gauges, weather radars, satellite sensors and modelled data from weather centres are used opera...
This study evaluates the performance of four Near Real-Time (NRT) satellite rainfall products in est...
Microwave-based satellite rainfall products offer an opportunity to assess rainfall-related events f...
Microwave-based satellite soil moisture products enable an innovative way of estimating rainfall usi...
Variability in precipitation patterns in the northeast and southeast regions of Brazil are complex, ...
A NEW GLOBAL SCALE RAINFALL PRODUCT obtained from satellite soil moisture data through the SM2RAIN a...
Water is a basic resource for human life and understanding how it cycles in the environment is impor...
Accurate and long-term rainfall estimates are the main inputs for several applications, from crop m...
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite ra...
At present, satellite rainfall products, such as the Climate Hazards Group InfraRed Precipitation wi...
© 2018 Elsevier B.V. In developing countries, an accurate representation of the spatio-temporal vari...
The SM2RAIN (soil moisture to rain) model has been widely used for rainfall estimation worldwide. Ho...
The number of natural disasters triggered by extreme events is increasing worldwide and significantl...
Numerous satellite-based precipitation datasets have been successively made available. Their precipi...
Satellite derived rainfall products are useful for drought and flood early warning and overcome the ...
Rain gauges, weather radars, satellite sensors and modelled data from weather centres are used opera...
This study evaluates the performance of four Near Real-Time (NRT) satellite rainfall products in est...