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Fall 2025 CCNY EAS 42000/A4200
Fall 2025, CCNY EAS 42000/A4200: Statistical Methods in Earth and Atmospheric Science
Course Information
Syllabus
Schedule
Lecture notes and slides
Links to datasets
Resources
Assignments
HW00: Getting python and your
Github
account up and running
HW01: Writing key quantities from descriptive statistics in Python yourself
HW02: Generating core data visualizations on the Central Park weather dataset in Python
HW03: Key probability theory concepts and empirical probabilities computed for Central Park
HW04: Fitting normal distributions for each calendar month and fitting GEV to annual maxima
Labs
Lab 03: computing empirical probabilities, empirical CDFs, and empirical PDFs
Lab 04: fitting probability distributions to your data using
scipy.stats
Final Project
Final project requirements
Repository
Open issue
Index