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Description

This training, led by NASA's Applied Remote Sensing Training (ARSET) program, builds capacity to apply Python codes and other online tools to read, map, and analyze datasets from NASA's Goddard Earth Observing System (GEOS) air quality forecasts as well as products from the second Modern-Era Retrospective analysis for Research and Application (MERRA-2) reanalysis. The training sessions include lectures and hands-on activities, including exercises, interacting with web-based and offline python tools, and time to perform analyses.

Access the Agenda (PDF, 0.4 MB)

Prerequisites

Objectives

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

  • Download, map, and subset GEOS outputs using tools developed by the Goddard Earth Sciences Data and Information Services Center (GES DISC)
  • Perform intercomparison and evaluation of analysis and forecast output using Jupyter notebooks
  • Perform air quality assessment using reanalysis and forecasts from GEOS, ground and satellite measurements

Target Audience

This training is primarily intended for local, regional, state, federal, and international organizations involved in air quality management and forecasting, and those with an interest in applying remote sensing and global models for air quality applications.

Course Format

  • Three 2-hour parts
  • Lecture and Hands-on Lab time (Advanced)

Sessions

Part 1 - Review of NASA Air Quality Forecasts and Reanalysis

Tuesday, Feb. 22, 2022

Part 1 includes:

  • GEOS FP and GEOS-CF forecasts, and MERRA-2 Reanalysis
  • GES DISC tools for visualization and analysis

ARSET Instructors: Melanie Follette-Cook, Pawan Gupta, and Sarah Strode

Guest Instructors: Xiaohua Pan, Suhung Shen, Binita KC, and Jennifer Wei

Materials

Part 2 - Introduction to Python Tools for Visualization and Analysis

Thursday, Feb. 24, 2022

Part 2 includes:

  • Hands-On Exercise: Intercomparison with Satellite Observations
  • Hands-On Exercise: Validation with Surface Observations

ARSET Instructors: Melanie Follette-Cook, Pawan Gupta, and Sarah Strode

Materials

Part 3 - Interpreting Model Output for Air Quality Assessment

Tuesday, March 1, 2022

Part 3 includes:

  • Case Study Analysis: Instructor-led exercise to combine data and apply tools to assess forecast and analysis performance

ARSET Instructors: Melanie Follette-Cook, Pawan Gupta, and Sarah Strode

Materials

Citation

(2022). ARSET - Tools for Analyzing NASA Air Quality Model Output. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/tools-analyzing-nasa-air-quality-model-output. 

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Details

Last Updated

Feb. 17, 2026

Published

Feb. 22, 2022

Data Center/Project

Applied Remote Sensing Training Program (ARSET)
Modern Era Retrospective-analysis for Research and Applications 2 (MERRA-2)