Title :
Calculation of altitude-dependent tikhonov constraints for TES nadir retrievals
Author :
Kulawik, Susan Sund ; Osterman, Gregory ; Jones, Dylan B A ; Bowman, Kevin W.
Author_Institution :
Jet Propulsion Lab., Pasadena, CA, USA
fDate :
5/1/2006 12:00:00 AM
Abstract :
A key component in the regularization of vertical atmospheric trace gas retrievals is the construction of constraint matrices. We introduce a novel method for developing a constraint matrix based on altitude-varying combinations of zeroth-, first-, and second-order derivatives of the trace gas profile. This constraint matrix can be optimized to minimize the diagonal a posteriori error covariance and can also consider other factors such as degrees of freedom. This approach is applied to the calculation of constraint matrices for Tropospheric Emission Spectrometer nadir retrievals of atmospheric temperature, H2O, O3, CO, and CH4. The retrieval error achieved with these constraints is comparable to the error achieved with the classical Bayesian constraint. Furthermore, these constraints are shown to be robust under uncertainty in the climatological conditions.
Keywords :
atmospheric composition; atmospheric measuring apparatus; atmospheric temperature; error analysis; infrared spectroscopy; remote sensing; Bayesian constraint; CO; EOS Aura; Fourier transform spectrometry; H2O; O3; TES nadir retrieval; Tropospheric Emission Spectrometer; a posteriori error covariance; altitude-dependent Tikhonov constraints; atmospheric temperature; constraint matrix; error analysis; infrared remote sensing; vertical atmospheric trace gas retrieval; Constraint optimization; Covariance matrix; Fourier transforms; Infrared spectra; Propulsion; Robustness; Spectroscopy; Temperature; Terrestrial atmosphere; Uncertainty; EOS-Aura; Fourier transform spectrometry (FTS); Tropospheric Emission Spectrometer (TES); error analysis; infrared remote sensing; nonlinear estimation;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.871206