Week 3: Mapping, Gridding, and Data Quality Control

Now that we’ve gained some familiarity with data sources and some basic visualization tools, we’ll learn more about creating maps in different coordinate reference systems and the role that data regridding and reprojection plays in intercomparing datasets. We’ll also work on understanding methods of data quality control and dealing with outliers in time series data.

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Topics We Will Cover:

• Map projections
• Data gridding and regridding
• Reprojection and coordinate system conversion
• Data quality control and outliers

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Lecture Slides (10/11)

Lecture Slides (10/13)

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Suggested Readings

• Esmaili chapter 7, “Creating Effective and Functional Maps”
• Esmaili chapter 8, “Gridding Operations”
• “Maps in Scientific Python”
• Time Series Analysis

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Additional Resources

• The True Size
• “Around the World in 80 Days cartopy tutorial”
• USGS infographic on map projection advantages/disadvantages