Abstract: This paper describes a neural network?based approach to estimate the conditional distribution function (cdf) of rainfall with respect to multidimensional satellite-derived input data. The methodology [Conditional Histogram ...

Abstract: This paper describes a new geostationary infrared satellite precipitation monitoring methodology that draws on techniques from machine vision to develop a mathematical representation of cloud shapes and textures and the ...

Abstract: new algorithm called Lagrangian Simulation (LSIM) has been developed that enables the interpolation uncertainty present in Lagrangian satellite rainfall algorithms such as the Climate Prediction Center (CPC) morphing ...

Abstract: The progressive refinement approach is a strategy for generating new shorter-term (less than 10 days) satellite rainfall estimation algorithms from structural combinations of an easy-to-calibrate algorithm generating longer- ...

Abstract: This paper describes a new high-resolution multiplatform multisensor satellite rainfall product for southern Africa covering the period 1993?2002. The microwave infrared rainfall algorithm (MIRA) employed to generate the ...