Robert Meneghini

TL;DR: In this paper, an algorithm that estimates the instantaneous profiles of the true radar reflectivity factor and rainfall rate from the radar reflectivities profiles observed by the precipitation radar (PR) onboard the TRMM satellite is presented.

TL;DR: The GPM mission collects essential rain and snow data for scientific studies and societal benefit and aims to provide real-time information about rainfall and snowfall to improve understanding of climate change.

TL;DR: In this article, the basic structure and flow of the rain profiling algorithm for the TRMM Precipitation Radar is described, and the major assumptions and sources of error in the algorithm are discussed.

TL;DR: In this article, a surface reference technique was proposed to estimate the rain rate from the precipitation radar (PR) aboard the TRMM satellite, in which the radar surface return in rain-free areas is used as a reference against which the path-integrated attenuation is obtained.

TL;DR: In this paper, a review of single-frequency rain profiling methods for an airborne or spaceborne radar is presented starting from a unified point of view starting from the basic differential equation, which facilitates the comparisons between the methods and also provides a better understanding of the physical and mathematical basis of the methods.