Introduces students to the broad range of data sets used to monitor and understand human and natural systems. Covers field and station data, remote sensing products, and large-scale climate datasets including climate model projections. Skills include evaluating data collection and quality control methods used in existing datasets, and working with existing databases of time-series and spatial information including cloud computing databases and new repositories of environmental datasets. Students learn basic workflows for selecting, obtaining, and visualizing datasets, and best practices for reliable data intercomparisons.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitEnvironmental science
College