scholarly journals Europa's surface composition from near-infrared observations: A comparison of results from linear mixture modeling and radiative transfer modeling

2016 ◽  
Vol 3 (8) ◽  
pp. 326-344 ◽  
Author(s):  
James H. Shirley ◽  
Corey S. Jamieson ◽  
J. Bradley Dalton
Keyword(s):  
Radiative Transfer ◽  
Near Infrared ◽  
Surface Composition ◽  
Mixture Modeling ◽  
Infrared Observations ◽  
Comparison Of Results ◽  
Radiative Transfer Modeling

scholarly journals High-resolution near-infrared speckle interferometry and radiative transfer modeling of the OH/IR star OH 104.9+2.4

2004 ◽  
Vol 424 (1) ◽  
pp. 165-177 ◽  
Author(s):  
D. Riechers ◽  
Y. Balega ◽  
T. Driebe ◽  
K.-H. Hofmann ◽  
A. B. Men'shchikov ◽  
...  
Keyword(s):  
High Resolution ◽  
Radiative Transfer ◽  
Near Infrared ◽  
Speckle Interferometry ◽  
Radiative Transfer Modeling

scholarly journals Retrieval of Sea Surface Temperature from Space, Based on Modeling of Infrared Radiative Transfer: Capabilities and Limitations

2004 ◽  
Vol 21 (11) ◽  
pp. 1734-1746 ◽  
Author(s):  
Christopher J. Merchant ◽  
Pierre Le Borgne
Keyword(s):  
Radiative Transfer ◽  
Sea Surface ◽  
Rational Approach ◽  
Validation Data ◽  
Infrared Observations ◽  
Brightness Temperatures ◽  
Sst Bias ◽  
Offset Coefficient ◽  
Weighting Coefficients ◽  
Radiative Transfer Modeling

Abstract The retrieval (estimation) of sea surface temperatures (SSTs) from space-based infrared observations is increasingly performed using retrieval coefficients derived from radiative transfer simulations of top-of-atmosphere brightness temperatures (BTs). Typically, an estimate of SST is formed from a weighted combination of BTs at a few wavelengths, plus an offset. This paper addresses two questions about the radiative transfer modeling approach to deriving these weighting and offset coefficients. How precisely specified do the coefficients need to be in order to obtain the required SST accuracy (e.g., scatter <0.3 K in week-average SST, bias <0.1 K)? And how precisely is it actually possible to specify them using current forward models? The conclusions are that weighting coefficients can be obtained with adequate precision, while the offset coefficient will often require an empirical adjustment of the order of a few tenths of a kelvin against validation data. Thus, a rational approach to defining retrieval coefficients is one of radiative transfer modeling followed by offset adjustment. The need for this approach is illustrated from experience in defining SST retrieval schemes for operational meteorological satellites. A strategy is described for obtaining the required offset adjustment, and the paper highlights some of the subtler aspects involved with reference to the example of SST retrievals from the imager on the geostationary satellite GOES-8.

Radiative transfer modeling of dust-coated Pancam calibration target materials: Laboratory visible/near-infrared spectrogoniometry

2006 ◽  
Vol 111 (E12) ◽  
pp. n/a-n/a ◽  
Author(s):  
Jeffrey R. Johnson ◽  
Jascha Sohl-Dickstein ◽  
William M. Grundy ◽  
Raymond E. Arvidson ◽  
James Bell ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Near Infrared ◽  
Calibration Target ◽  
Radiative Transfer Modeling

scholarly journals High-resolution near-infrared speckle interferometry and radiative transfer modeling of the OH/IR star OH 104.9+2.4

2004 ◽  
Author(s):  
Dominik Riechers ◽  
Yuri Y. Balega ◽  
Thomas M. Driebe ◽  
Karl-Heinz Hofmann ◽  
Alexander B. Men'shchikov ◽  
...  
Keyword(s):  
High Resolution ◽  
Radiative Transfer ◽  
Near Infrared ◽  
Speckle Interferometry ◽  
Radiative Transfer Modeling
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