ATM350 Spring 2024
ATM350
Course overview
Course syllabus
Weekly course content
Week 1: 1/18
Week 1 overview
ATM350 Intro: NYS Mesonet Map
Week 2: 1/23, 1/25
Week 2 overview
Week 3: 1/30, 2/1
Week 3 overview
Week 4: 2/6, 2/8
Week 4 overview
Week 5: 2/13, 2/15
Week 5 overview
Week 6: 2/20, 2/22
Week 6 overview
Matplotlib Introduction
LAB EXERCISE: Plot temperature data from the NYS Mesonet
COMPLETED Lab Exercise: Plot temperature data from the NYS Mesonet
Pandas Notebook 1, ATM350 Spring 2024
Week 7: 2/27, 2/29
Week 7 overview
Pandas Notebook 2, ATM350 Spring 2024
Pandas 3: Plotting NYS Mesonet Observations
Datetime notebook, ATM350 Spring 2024
Week 8: 3/5, 3/7
Week 8 overview
Introduction to Cartopy
Cartopy 2: NYS Mesonet Data
Week 9: 3/12, 3/14
Week 9 overview
MetPy Intro: NYS Mesonet Map
Surface map of METAR data
Week 10: 3/26, 3/28
Week 10 overview
Surface map of METAR data
Skew-T’s
Week 11: 4/2, 4/4
Week 11 overview
Skew-T’s
Intro to Xarray
THREDDS-served GRIB Data: GFS (Global Grid) Model: Eclipse Cloud Cover Forecast
Week 12: 4/9, 4/11
Week 12 overview
02_Xarray: Plotting
03_Xarray: Multiple Files
04_Xarray_Variables: More CFSR plotting
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 13: 4/16, 4/18
Week 13 overview
05_Xarray_CFSR_TimeLoop
CFSR Data and Graphics Preparation for the Science-on-a-Sphere
Py-ART Basics
Looking at NEXRAD Data from Moore, Oklahoma
Week 14: 4/23, 4/25
Week 14 overview
Meteogram
Animating NEXRAD Level II Data
HW4 Q3: NYS Mesonet Observations during the 2024 Solar Eclipse
More NEXRAD Level II Visualization
Interactive data visualization in Python: Geopandas
Interactive plots with Ipyleaflet
.md
.pdf
Week 4: 2/6, 2/8
Week 4: 2/6, 2/8
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