Publication Date:
2014
abstract:
A new method to perform averages of atmospheric vertical profiles is presented. The method allows changing a-posteriori the strength of the constraint used in the retrievals of the single profiles with the purpose of optimizing the trade-off between measurement error and vertical resolution. The method is used to calculate averages of HCFC-22 profiles retrieved from MIPAS observations, demonstrating the possibility of correctly obtaining retrievals with smaller constraints (that is: having at least a factor ten greater errors) and more degrees of freedom by up to a factor two.
Iris type:
01.01 Articolo in rivista
Keywords:
Atmospheric composition; Passive remote sensing; Inverse problems; Mathematical methods in physics; Algorithms
List of contributors:
Carli, Bruno; Raspollini, Piera; Ceccherini, Simone
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