T
Timothy J. Schmit
Researcher at National Oceanic and Atmospheric Administration
Publications - 147
Citations - 4019
Timothy J. Schmit is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Geostationary Operational Environmental Satellite & Geostationary orbit. The author has an hindex of 31, co-authored 138 publications receiving 3303 citations. Previous affiliations of Timothy J. Schmit include University of Wisconsin-Madison & Cooperative Institute for Meteorological Satellite Studies.
Papers
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Introducing the next-generation advanced baseline imager on goes-r
TL;DR: The Advanced Baseline Imager (ABI) as discussed by the authors was designed to be one of the instruments on a future Geo-stationary Operational Environmental Satellite (GOES) series, which will introduce a new era for U.S. geostationary environmental remote sensing.
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A Closer Look at the ABI on the GOES-R Series
Timothy J. Schmit,Paul Griffith,Mathew M. Gunshor,Jaime Daniels,Steven J. Goodman,William Lebair +5 more
TL;DR: The expected instrument attributes are covered, as they relate to signal-to-noise ratio, image navigation and registration, and the expected improvements of each of these attributes.
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Application of GOES-8/9 Soundings to Weather Forecasting and Nowcasting.
W. Paul Menzel,Frances C. Holt,Timothy J. Schmit,Robert M. Aune,Anthony J. Schreiner,Gary S. Wade,Donald G. Gray +6 more
TL;DR: In this article, a new generation of geostationary sounders has been measuring atmospheric radiances in 18 infrared spectral bands and thus providing the capability for investigating oceanographic and meteorological phenomena that far exceed those available from the previous generation of GOES-8/9 sounders.
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Satellite-Based Atmospheric Infrared Sounder Development and Applications
TL;DR: The concept of using satellite infrared radiation for atmospheric sounding of the vertical changes in temperature and moisture is one of the key contributions from meteorological satellites as discussed by the authors, but it is not suitable for outdoor applications.
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A Nonlinear Physical Retrieval Algorithm—Its Application to the GOES-8/9 Sounder
TL;DR: In this article, a nonlinear physical retrieval algorithm was developed and applied to the GOES-8/9 sounder radiance observations, which utilizes Newtonian iteration in which the maximum probability solution for temperature and water vapor profiles is achieved through the inverse solution of the nonlinear radiative transfer equation.