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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data