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Charles E. Miller

Researcher at California Institute of Technology

Publications -  263
Citations -  11829

Charles E. Miller is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Arctic & Permafrost. The author has an hindex of 50, co-authored 229 publications receiving 9593 citations. Previous affiliations of Charles E. Miller include College of William & Mary & Haverford College.

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Spectroscopic database of CO2 line parameters: 4300–7000 cm−1

TL;DR: In this paper, a new spectroscopic database for carbon dioxide in the near infrared is presented to support remote sensing of the terrestrial planets (Mars, Venus and the Earth), which contains over 28,500 transitions of 210 bands from 4300 to 7000 cm−1 and involves nine isotopologues.
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NASA Orbiting Carbon Observatory: measuring the column averaged carbon dioxide mole fraction from space

TL;DR: The NASA Orbiting Carbon Observatory (OCO) as mentioned in this paper was designed to make co-boresighted spectroscopic measurements of reflected sunlight in near-infrared CO2 and molecular oxygen (O2) bands to provide spatially resolved estimates of the column averaged CO2 dry air mole fraction.
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Spaceborne detection of localized carbon dioxide sources.

TL;DR: OCO-2’s sampling strategy was designed to characterize CO2 sources and sinks on regional to continental and ocean-basin scales, but the unprecedented kilometer-scale resolution and high sensitivity enables detection of CO2 from natural and anthropogenic localized emission sources.
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Diurnal tracking of anthropogenic CO 2 emissions in the Los Angeles basin megacity during spring 2010

TL;DR: In this paper, the authors used in situ CO2, CO, and planetary boundary layer height (PBLH) measurements recorded during the CalNex-LA ground campaign of 15 May-15 June 2010, in Pasadena, CA, to deduce the diurnally varying anthropogenic component of observed CO2 in the megacity of Los Angeles (LA).
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Line mixing and speed dependence in CO2 at 6348 cm-1: Positions, intensities, and air-and self-broadening derived with constrained multispectrum analysis

TL;DR: In this paper, a multispectrum nonlinear least squares retrieval technique was modified to adjust the rovibrational constants (G, B, D, etc.) and intensity parameters, including Herman-Wallis terms, rather than retrieving the individual positions and intensities.