MetPy for Quantitative Analysis of Meteorological Data
This instructor-led training is designed to show existing geoscientific Python users the capability and convenience MetPy can provide for working with data in meteorology. Topics include working with MetPy constants and units, remote data access using Siphon and THREDDS, and exploring quasi-qeostrophic theory and isentropic analyses using MetPy.
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Details
Learning Objectives
- Use built-in MetPy units, constants, and simple calculation tools
- Access and explore remote data in Python
- Explore Quasi-Geostrophic (QG) theory using MetPy
- Complete an isentropic analysis using MetPy
Author
NSF Unidata
Format
Instructor-Led Training
Duration
2 Days