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Sandra E. Yuter

Researcher at North Carolina State University

Publications -  95
Citations -  6152

Sandra E. Yuter is an academic researcher from North Carolina State University. The author has contributed to research in topics: Precipitation & Marine stratocumulus. The author has an hindex of 37, co-authored 92 publications receiving 5618 citations. Previous affiliations of Sandra E. Yuter include University of Washington & University of North Carolina at Chapel Hill.

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Climatological Characterization of Three-Dimensional Storm Structure from Operational Radar and Rain Gauge Data

TL;DR: In this article, three algorithms extract information on precipitation type, structure, and amount from operational radar and rain gauge data, and statistically summarize the vertical structure of the radar echoes, and determine precipitation rates and amounts on high spatial resolution.
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Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumulonimbus. Part II: Frequency Distributions of Vertical Velocity, Reflectivity, and Differential Reflectivity

TL;DR: In this paper, high-resolution radar data collected in Florida during the Convection and Precipitation/Electrification Experiment are used to elucidate the microphysical and kinematic processes occurring during the transition of a multicellular storm from convective to stratiform stages.
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The Epic 2001 Stratocumulus Study

TL;DR: The East Pacific Investigation of Climate undertook an exploratory cruise from the Galapagos Islands to Chile in 2001, collecting an unprecedented dataset, integrating radiosonde, surface, cloud remote sensing, aerosol, and ocean measurements as mentioned in this paper.
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The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): goals, platforms, and field operations

TL;DR: The VAMOS(1) Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx) was an international field program designed to make observations of poorly understood but critical components of the coupled climate system of the southeast Pacific as discussed by the authors.
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Observations of Precipitation Size and Fall Speed Characteristics within Coexisting Rain and Wet Snow

TL;DR: In this article, the PARSIVEL measurements of rain and dry snow were used to distinguish rain and snow particles using a classification method based on their size and fall speed properties.