Scatter-Reducing Sounding Filtration Using a Genetic Algorithm and Mean Monthly Standard Deviation
TBMG-18742
12/01/2013
- Content
Retrieval algorithms like that used by the Orbiting Carbon Observatory (OCO)-2 mission generate massive quantities of data of varying quality and reliability. A computationally efficient, simple method of labeling problematic data points or predicting soundings that will fail is required for basic operation, given that only 6% of the retrieved data may be operationally processed. This method automatically obtains a filter designed to reduce scatter based on a small number of input features.
- Citation
- "Scatter-Reducing Sounding Filtration Using a Genetic Algorithm and Mean Monthly Standard Deviation," Mobility Engineering, December 1, 2013.