Soil Moisture and Sea Surface Temperature Data for Wikle et al. (2022)

Raw data (.nc) in NetCDF4 format, and formatted and rearranged data (.csv) in CSV format. With R Markdown document detailing the steps taken. All data obtained originally from NOAA's NCEP and NCDC data store systems. 

Data used in developing and demonstrating explainable AI models for An Overview of Model Agnostic Explainability Methods for Machine Learning Applied to Environmental Data, Wikle et al. (2022), for the Special Issue on Environmental Data Science for Environmetrics. See https://zenodo.org/record/6353636 for the corresponding model codebase.