Study of spatio-temporal variability of the maximum daily rainfall

Gader, Khouloud; Gara, Ahlem; Saad, Mohamed; Raouf, Mahjoub Mohamed

doi:10.1109/icmsao.2015.7293556

Cited by 3 publications

(1 citation statement)

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“…A very high spatial and temporal variability characterizes rainfall [1][2][3]: it is then difficult to obtain accurate measurements with proper spatial density and temporal detail. Several instruments and techniques have been developed to gauge this quantity (e.g., the use of weather radars, rain gauges, infrared satellite imagery, microwave links, etc.).…”

Section: Introductionmentioning

confidence: 99%

Rainfall Estimation from Tropospheric Attenuation Affecting Satellite Links

2019

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A novel methodology for estimating rainfall rate from satellite signals is presented. The proposed inversion algorithm yields rain rate estimates by making opportunistic use of the downlink signal and exploiting local ancillary meteorological information (0 °C isotherm height and monthly convectivity index), which can be extracted on a Global basis from Numerical Weather Prediction (NWP) products. The methodology includes different expressions to take the different impact of stratiform and convective rain events on the link into due account. The model accuracy in predicting the rain rate is assessed (and compared to the one of other models), both on a statistical and on an instantaneous basis, by exploiting a full year of data collected in Milan, in the framework of the Alphasat Aldo Paraboni propagation experiment.

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Section: Introductionmentioning

confidence: 99%