This advanced webinar series will build the capacity to apply Python codes and other online tools to read, map, and analyze datasets from NASA 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 will run three sessions, with each session two hours long. The sessions will include lectures and hands-on activities, including exercises, interacting with web-based and offline python tools, and time to perform analyses.
Relevant UN Sustainable Development Goals:
• Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
Course Dates: February 22, 24, and March 1, 2022
Time: 10:00-12:00 EST (UTC-5)
Register Here: https://go.nasa.gov/3dGDWXi
Learning Objectives: By the end of this series, 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
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, with Lecture and Hands-on Lab time
Retweet option: https://twitter.com/NASAARSET/status/14 ... 1790699527
Science Systems and Applications, Inc. (SSAI)
NASA Applied Remote Sensing Training Program (ARSET)