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Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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Empirical Corrections to Instrument Artifacts in the MOPITT Data Stream
This article does not have an abstract or article summary.- publication PDF
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regClimateChem: An R Package for Data Driven Variable Selection Applied to At...
Carbon monoxide (CO) is a major pollutant, impacting air quality and contributing to the greenhouse effect. Buchholz et al. [1] used a multiple linear regression model to link...- publication PDF
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Optimizing Genetic Algorithm Parameters for Atmospheric Carbon Monoxide Modeling
A main source of atmospheric carbon monoxide (CO) variability in the Southern Hemisphere is large burn events, making CO a useful proxy for fires. Therefore, predictive CO...- publication PDF
