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Steven D. Miller

Researcher at Cooperative Institute for Research in the Atmosphere

Publications -  158
Citations -  7363

Steven D. Miller is an academic researcher from Cooperative Institute for Research in the Atmosphere. The author has contributed to research in topics: Geostationary orbit & Visible Infrared Imaging Radiometer Suite. The author has an hindex of 34, co-authored 145 publications receiving 5933 citations. Previous affiliations of Steven D. Miller include Colorado State University & United States Naval Research Laboratory.

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The CloudSat mission and the A-train: a new dimension of space-based observations of clouds and precipitation

TL;DR: CloudSat as discussed by the authors is a satellite experiment designed to measure the vertical structure of clouds from space, and once launched, CloudSat will orbit in formation as part of a constellation of satellites (the A-Train) that includes NASA's Aqua and Aura satellites, a NASA-CNES lidar satellite (CALIPSO), and a CNES satellite carrying a polarimeter (PARASOL).
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Rainfall retrieval over the ocean with spaceborne W‐band radar

TL;DR: In this article, a method for retrieving precipitation over the ocean using spaceborne W-band radar is introduced and applied to the CloudSat Cloud Profiling Radar, which is most applicable to stratiform-type precipitation.
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Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band

TL;DR: The Suomi National Polar-orbiting Partnership (NPP) satellite, which carries a new Day/Night Band (DNB) radiometer, offers the first quantitative measurements of nocturnal visible and near-infrared light.
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NASA's Black Marble Nighttime Lights Product Suite

TL;DR: The Black Marble nighttime lights product suite (VNP46) is available at 500m resolution since January 2012 with data from the VISible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP) as discussed by the authors, which utilizes all high-quality, cloud-free, atmospheric-, terrain-, vegetation-, snow-, lunar-, and stray light-corrected radiances to estimate daily nighttime lights (NTL) and other intrinsic surface optical properties.