Description

January 17, 2018 - January 22, 2018

High resolution air quality data is helpful for monitoring urban air pollution. In this webinar, participants will learn how to use Python scripts to map and analyze air quality data through hands-on exercises. The training will cover MODIS aerosol optical depth data and OMI NO2 and SO2 data.

Agenda

Objective

By the end of the training, attendees will be able to:

  • Use available Python scripts to read, map, and analyze Level-2 data
  • Modify available scripts for future use
Audience

This training is primarily intended for air quality professionals and decision makers from local, state, and federal agencies, NGOs, and the private sector. Governmental and non-governmental organizations engaged in air quality monitoring will be given preference over organizations focused primarily on research.

Course Format

A single 1-hour session (1/17) and two 2-hour sessions (1/19 and 1/22)

Sessions
Session One: Introduction to Datasets

An introduction to relevant datasets (basics, advantages, and limitations) and instruction on how to download data.

Materials:

Materiales en Español:

Session Two: Read, Map, and Analyze Level 2 MODIS AOD Data

Hands-on exercises using Python scripts to read, map, and analyze Level 2 MODIS aerosol optical depth (AOD) data.

Data for session 2: Download

Materials:

Materiales en Español:

Session Three: Read, Map, and Analyze OMI NO2 and SO2 Data

Hands-on exercises using Python scripts to read, map, and analyze OMI NO2 and SO2 data.

Data for week 3: Download

Materials:

Materiales en Español:

Prerequisites

 

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