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Steven T. Massie

Researcher at University of Colorado Boulder

Publications -  111
Citations -  18316

Steven T. Massie is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Aerosol & Stratosphere. The author has an hindex of 39, co-authored 106 publications receiving 17382 citations. Previous affiliations of Steven T. Massie include University of Denver & National Center for Atmospheric Research.

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Relationships between convective structure and transport of aerosols to the upper troposphere deduced from satellite observations

TL;DR: In this paper, the extent of upper tropospheric aerosol layers (UT ALs) surrounding mesoscale convective systems (MCSs) and explore the relationships between UT AL extent and the morphology, location, and developmental stage of collocated MCSs in the tropics.
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Distribution of Antarctic polar stratospheric clouds as seen by the CLAES experiment

TL;DR: The distribution and optical characteristics of Antarctic polar stratospheric clouds (PSCs) during the winter of 1992 as seen from the cryogenic limb array etalon spectrometer (CLAES) on the NASA Upper Atmosphere Research Satellite (UARS) are presented in this paper.
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Atmospheric infrared emission of ClONO2 observed by a balloon-borne Fourier spectrometer

TL;DR: In this article, the mixing ratio of ClONO2 in high-resolution infrared emission spectra obtained on Nov. 6, 1984 by a balloon-borne Fourier spectrometer was determined.
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Halogen Occultation Experiment and Stratospheric Aerosol and Gas Experiment II observations of tropopause cirrus and aerosol during the 1990s

TL;DR: In this paper, multiple wavelength techniques for HALOE and SAGE II data are used to distinguish cirrus from aerosol observations following the eruption of Mount Pinatubo in 1991.
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Comparison of CLAES preliminary N2O5 data with correlative data and a model

TL;DR: In this paper, a comparison of the diurnal data variation with the model suggests there are offsets in the data that are to first order diurnally independent, which are tabulated to facilitate subtraction, which is recommended for most data applications.