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Robert Meneghini

Researcher at Goddard Space Flight Center

Publications -  151
Citations -  6358

Robert Meneghini is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Radar & Weather radar. The author has an hindex of 37, co-authored 146 publications receiving 5778 citations.

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Retrieval of Snow Properties for Ku- and Ka-Band Dual-Frequency Radar

TL;DR: Self-consistency tests are conducted using measurements of the snow PSD and fall velocity acquired from the Snow Video Imager/Particle Image Probe (SVI/PIP) during the winter of 2014 in the NASA Wallops flight facility site in Wallops Island, Virginia.
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Statistical Methods of Estimating Average Rainfall over Large Space–Timescales Using Data from the TRMM Precipitation Radar

TL;DR: In this paper, the probability distribution of rain rates at the high end is inferred by measurements at the low to intermediate range and by the assumption that the rain rates are lognormally distributed.
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Retrieval of Snow and Rain From Combined X- and W-Band Airborne Radar Measurements

TL;DR: Two independent airborne dual-wavelength techniques, based on nadir measurements of radar reflectivity factors and Doppler velocities, respectively, are investigated with respect to their capability of estimating microphysical properties of hydrometeors.
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Global and Local Precipitation Measurements by Radar

TL;DR: The main advantage of using radar for precipitation estimation is that measurements can be made over large areas, with either fairly high temporal and spatial resolution or extensive spatial coverage (about 10 000 km2 for ground-based radar and an order of magnitude more for space-based radars) as mentioned in this paper.
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Assessment of the Performance of a Dual-Frequency Surface Reference Technique Over Ocean

TL;DR: In this article, the authors investigated a simple method of estimating the single-frequency path attenuation from the differential attenuation and compared this estimate with that derived directly from the surface return.