Adjusting the tasselled-cap brightness and greenness factors for atmospheric path radiance and absorption on a pixel by pixel basis

1983 ◽  
Vol 4 (2) ◽  
pp. 313-323 ◽  
Author(s):  
R. D. JACKSON ◽  
P. N. SLATER ◽  
P. J. PINTER
Keyword(s):  
Atmospheric Path

scholarly journals Assessment of the Single-Mixture Gas Assumption for the Correlated K-Distribution Fictitious Gas Method in H2O–CO2–CO Mixture at High Temperature

2008 ◽  
Vol 130 (10) ◽  
Author(s):  
C. Caliot ◽  
G. Flamant ◽  
M. El Hafi ◽  
Y. Le Maoult
Keyword(s):  
Remote Sensing ◽  
Path Length ◽  
Narrow Band ◽  
Specific Area ◽  
Sensitivity Study ◽  
Computational Time ◽  
Line Of Sight ◽  
Spectral Bands ◽  
Integrated Intensity ◽  
Atmospheric Path

This paper deals with the comparison of spectral narrow band models based on the correlated-K (CK) approach in the specific area of remote sensing of plume signatures. The CK models chosen may or may not include the fictitious gas (FG) idea and the single-mixture-gas assumption (SMG). The accuracy of the CK and the CK-SMG as well as the CKFG and CKFG-SMG models are compared, and the influence of the SMG assumption is inferred. The errors induced by each model are compared in a sensitivity study involving the plume thickness and the atmospheric path length as parameters. This study is conducted in two remote-sensing situations with different absolute pressures at sea level (105Pa) and at high altitude (16.6km, 104Pa). The comparisons are done on the basis of the error obtained for the integrated intensity while leaving a line of sight that is computed in three common spectral bands: 2000–2500cm−1, 3450–3850cm−1, and 3850–4150cm−1. In most situations, the SMG assumption induces negligible differences. Furthermore, compared to the CKFG model, the CKFG-SMG model results in a reduction of the computational time by a factor of 2.

Investigation of dual-wavelength laser beam propagation along the in-door atmospheric path

2015 ◽  
Author(s):  
Alina V. Gorelaya ◽  
Elena V. Shubenkova ◽  
Dmitriy I. Dmitriev ◽  
Anna D. Dmitrieva ◽  
Alexis V. Kudryashov ◽  
...  
Keyword(s):  
Laser Beam ◽  
Beam Propagation ◽  
Dual Wavelength ◽  
Laser Beam Propagation ◽  
Dual Wavelength Laser ◽  
Atmospheric Path

scholarly journals Effects of atmospheric path on airbornemultispectral sensors

1970 ◽  
Vol 1 (4) ◽  
pp. 203-215 ◽  
Author(s):  
Robert Horvath ◽  
John G. Braithwaite ◽  
Fabian C. Polcyn
Keyword(s):  
Atmospheric Path

Dynamic topography of the vector beam profile at the atmospheric path output

2016 ◽  
Author(s):  
T. I. Arsenyan ◽  
A. L. Afanasiev ◽  
V. A. Banakh ◽  
O. M. Vokhnik ◽  
A. P. Rostov ◽  
...  
Keyword(s):  
Beam Profile ◽  
Dynamic Topography ◽  
Vector Beam ◽  
Atmospheric Path

scholarly journals A 1D-Var Approach to Retrieve Clear-Sky Wet Tropospheric Correction from Current and Future Altimetry Missions

2019 ◽  
Vol 36 (3) ◽  
pp. 473-489 ◽  
Author(s):  
Laura Hermozo ◽  
Laurence Eymard ◽  
Fatima Karbou ◽  
Bruno Picard ◽  
Mickael Pardé
Keyword(s):  
Data Assimilation ◽  
Microwave Radiometer ◽  
Passive Microwave ◽  
Simulation Experiments ◽  
Low Frequencies ◽  
Clear Sky ◽  
Brightness Temperatures ◽  
Atmospheric Stratification ◽  
Atmospheric Path ◽  
Occultation Data

AbstractStatistical methods are usually used to provide estimations of the wet tropospheric correction (WTC), necessary to correct altimetry measurements for atmospheric path delays, using brightness temperatures measured at two or three low frequencies from a passive microwave radiometer on board the altimeter mission. Despite their overall accuracy over oceanic surfaces, uncertainties still remain in specific regions of complex atmospheric stratification. Thus, there is still a need to improve the methods currently used by taking into account the frequency-dependent information content of the observations and the atmospheric and surface variations in the surroundings of the observations. In this article we focus on the assimilation of relevant passive microwave observations to retrieve the WTC over ocean using different altimeter mission contexts (current and future, providing brightness temperature measurements at higher frequencies in addition to classical low frequencies). Data assimilation is performed using a one-dimensional variational data assimilation (1D-Var) method. The behavior of the 1D-Var is evaluated by verifying its physical consistency when using pseudo- and real observations. Several observing-system simulation experiments are run and their results are analyzed to evaluate global and regional WTC retrievals. Comparisons of 1D-Var-based TWC retrieval and reference products from classical WTC retrieval algorithms or radio-occultation data are also performed to assess the 1D-Var performances.

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