Daniel K. Zhou
University of Wisconsin-Madison
17 Papers
32 Citations
Daniel K. Zhou is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Radiance & Infrared atmospheric sounding interferometer. The author has an hindex of 4, co-authored 17 publications.
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Papers
Thermodynamic product retrieval methodology and validation for NAST-I
Daniel K. Zhou,William L. Smith,Jun Li,H. B. Howell,G. W. Cantwell,Allen M. Larar,Robert O. Knuteson,David C. Tobin,Henry E. Revercomb,Stephen A. Mango +9 more
TL;DR: Retrieval examples are presented to demonstrate the ability to reveal fine-scale horizontal features with relatively high vertical resolution from NAST-I radiance spectra.
Radiometrically Consistent Climate Fingerprinting Using CrIS and AIRS Hyperspectral Observations
TL;DR: A principal component based radiative transfer model (PCRTM) is used to perform multiple scattering calculations of clouds and a PCRTM-based physical retrieval algorithm to derive radiometrically consistent radiative kernels from real satellite observations to establish a rigorous radiometric fitting to satellite-observed radiances under all-sky conditions.
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GIFTS Radiance Validation from Ground-Based Sky-Viewing Comparisons to AERI
Henry E. Revercomb,William L. Smith,David C. Tobin,Robert O. Knuteson,Fred A. Best,Joe K. Taylor,David D. Turner,Daniel K. Zhou,Robert A. Reisse,Gregory W. Cantwell,Joe Tansock +10 more
- 11 Feb 2007
TL;DR: Spectral radiance validation of the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) engineering design unit has been performed using zenith sky viewing comparisons with an Atmospheric Emitted Radiance Interferometer (AERI).
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Principal Component-Based Radiative Transfer Model (PCRTM) for Hyperspectral Sensors
Xu Liu,William L. Smith,Daniel K. Zhou,Allen M. Larar +3 more
- 01 Jan 2005
TL;DR: In this paper, a Principal Component-based Radiative Transfer Model (PCRTM) is proposed to predict channel radiance or transmittance spectra directly, instead of predicting the Principal Component scores of these quantities.
Principal Component-Based Radiative Transfer Model (PCRTM) for Hyperspectral Sensors. Part I; Theoretical Concept
Xu Liu,William L. Smith,Daniel K. Zhou,Allen M. Larar +3 more
- 01 Jan 2005
TL;DR: In this paper, a Principal Component-based Radiative Transfer Model (PCRTM) is proposed to predict the Principal Component (PC) scores of these quantities, which leads to significant savings in computational time.
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