ATM350 Spring 2023
ATM350
Course overview
Course syllabus
Weekly course content
Week 1: 1/19
Week 1 overview
Week 2: 1/24, 1/26
Week 2 overview
Week 3: 1/31, 2/2
Week 3 overview
Week 4: 2/7, 2/9
Week 4 overview
Week 5: 2/14, 2/16
Week 5 overview
NYSM_TimeSeries.ipynb
Matplotlib Introduction
LAB EXERCISE: Plot temperature data from the NYS Mesonet
Week 6: 2/21, 2/23
Week 6 overview
Pandas Notebook 1, ATM350 Spring 2023
Pandas Notebook 2, ATM350 Spring 2023
Week 7: 2/28, 3/2
Week 7 overview
Pandas 3: Plotting NYS Mesonet Observations
Datetime notebook, ATM350 Spring 2023
Introduction to Cartopy
Week 8: 3/7, 3/9
Week 8 overview
Cartopy 2: NYS Mesonet Data
MetPy Intro: NYS Mesonet Map
Week 9: 3/21, 3/23
Week 9 overview
Surface map of METAR data
Skew-T’s
Week 10: 3/28, 3/30
Week 10 overview
Intro to Xarray
02_Xarray: Plotting
03_Xarray: Multiple Files
04_Xarray_Variables: More CFSR plotting
Homework 3 Solutions
Problem 1:
Problem 2:
Problem 3:
Problem 4:
XMACIS2 Python API
Week 11: 4/4, 4/6
Week 11 overview
05_Xarray_CFSR_TimeLoop
01_GriddedDiagnostics_TempAdvection_CFSR: Compute derived quantities using MetPy
02_GriddedDiagnostics_Dewpoint_CFSR: Compute derived quantities using MetPy
This notebook reads data from our in-house Climate Forecast System Reanalysis repository and plots fields of interest from it. It also illustrates the use of MetPy’s
calc
library which allows one to compute derived quantitites, such as advection, divergence, vorticity, frontogenesis, and many others!
04_GriddedDiagnostics_Frontogenesis_CFSR: Compute derived quantities using MetPy
Week 12: 4/11, 4/13
Week 12 overview
CFSR Data and Graphics Preparation for the Science-on-a-Sphere
CFSR Data and Graphics Preparation for the Science-on-a-Sphere
Py-ART Basics
Looking at NEXRAD Data from Moore, Oklahoma
Viewing NEXRAD Level II Data
Week 13: 4/18, 4/20
Week 13 overview
Animating NEXRAD Level II Data
More NEXRAD Level II Visualization
Interactive data visualization in Python: Geopandas
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Week 4: 2/7, 2/9
Week 4: 2/7, 2/9
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