Description

This training led by NASA's Applied Remote Sensing Training (ARSET) program focuses on NASA and European Center for Medium-Range Weather Forecasts (ECMWF) global air quality (AQ) forecasting capabilities. Delivered in collaboration with the Copernicus Atmosphere Monitoring Service (CAMS), this training discusses the basics of AQ forecasting and teaches users how to access and interpret global air quality forecasts.

Prerequisites

• Fundamentals of Remote Sensing
• Data Analysis Tools for High Resolution Air Quality Satellite Datasets
• MODIS to VIIRS Transition for Air Quality Applications
• Satellite Observations and Tools for Fire Risk, Detection, and Analysis (Part 4)

Objectives

This multi-week webinar series describes currently available global air quality forecasts, their different frameworks, and how they use satellite and ground observations to improve and evaluate their forecasts. Participants will learn how to access forecast information and images, and how to download output for their own visualization or analysis.

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 1.5-hour parts

Sessions

Part 1: Introduction to Air Quality Forecasting

Part 1 topics:

• Science and basics of AQ forecasting
• Air quality forecasting using local, regional, and global models
• Model components such as emissions, boundary conditions, initialization, and data assimilation
• Hands-on exercise developing a simple forecasting model

ARSET Instructor

Pawan Gupta (USRA/MSFC)

Materials

• Part 1 Presentation Slides (PDF, 10.9 MB)
• Part 1 Q&A Transcript (PDF, 0.6 MB)
• Spreadsheet for Part 1 Exercise (XLSX, 0.03 MB)

Part 2: Global Air Quality Forecasting by NASA

Part 2 topics:

• Introduction to NASA GEOS model and data assimilation system
• The use of satellite data in theGEOS model
• Air quality relevant outputs, validation, and data access
• Introduction to the GEOS global long-term reanalysis dataset, the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2)
• Hands-on exercise on the use of GEOS output to visualize an air quality event

ARSET Instructor

Melanie Follette-Cook (MSU/GSFC)

Materials

• Part 2 Presentation Slides (PDF, 8.3 MB)
• Part 2 Q&A Transcript (PDF, 0.6 MB)

If you would like to follow along with the demonstration in this part, please:

• Create a NASA EarthData account
• Download Panoply

Part 3: Global Air Quality Forecasting by Copernicus Atmosphere Monitoring Service (CAMS)

Part 3 topics:

• Introduction to ECMWF and CAMS model and data assimilation system
• The use of satellite data in CAMS
• Air quality relevant outputs, validation, and data access
• Hands-on exercise on the use of CAMS output to visualize an air quality event

Guest Instructors

Mark Parrington and Chris Stewart (CAMS/ECMWF)

Materials

• Part 3 Presentation Slides (PDF, 99.0 MB)
• Part 3 Q&A Transcript (PDF, 0.1 MB)

Homework

• Homework (Due Oct. 14, 2021)