Welcome to WeClimate-py!

Python for Weather & Climate data analysis

What is Weather/Climate data analysis?

This page introduces the basic Python programming for reading, creating, and drawing meteorological station data.

Get Started - Initial Setup

• Python instllation and set up
  • Download Anaconda
  • Create virtual environments

Lesson 1 - Data IO

• Station Data format
  • Variable information for hourly data
• Reading time-series station data
  • Setup the modules
  • Read the CSV data
  • Generate timestamps (YY-MM-DD HH:MM:SS)
  • Create new data frame
  • Save the data
  • Organize file and directory structure
• Another method of merged data files (shell script)
  • Merge multiple datasets

Lesson 2 - Data management

• Converting time zone to Mountain Time
  • Conversion of local time from UTC
  • Sample program for creating a new MT dated data set
• Remove duplicate data and Connect to one series
  • Function of data insertion
  • Sample program for inserting (time series) dataset into a master file

Lesson 3 - QC/QA

• Data required for quality control
  • Remove outliers
  • Remove spikes

Lesson 4 - Analysis

• Analysis of time average
  • Resample function
  • Plots
  • Sample porgram
• Analysis of daily maximum temperature
  • Calculated daily maximum/minimum data

Lesson 5 - Visualization

• Plot time series data
  • Description of data structure and variables
• Visualization tips
  • Change plot background color
  • Color name list
• Map Projection (using Cartopy)
  • Monthly dataset
  • Monthly temperature plots on a map
  • Create animation
  • Gallery
• Map Projection (using PyGMT)
  • Monthly dataset
  • Monthly temperature plots on a map
  • Create animation
  • Gallery

Garelly

This gallery is a sample of some visualizations presented in the sample programs with Python Matplotlib on this page.

Time series (blue time-series plot, daily maximum plots for 5 years)

Map Projection with Cartopy (left) and PyGMT (right) package.