TEMPO Applications for Surface Ozone Tiger Team

With the aim of facilitating the transition of prior ozone-focused satellite applications to TEMPO, this team works to evaluate expected new TEMPO retrievals of NO2, HCHO, as well as lower tropospheric ozone over the U.S.A., alongside current satellite products (OMI and TROPOMI NO2 and HCHO) with ground-based observing networks: Pandonia Global Network (PGN), Tropospheric Ozone Lidar Network (TOLNet), ozone sondes, NCore, and state, local and tribal networks. By contrasting high-ozone versus other days, the team aims to identify the impacts from ozone precursors on the days that matter most for attaining standards and protecting public health. The table below draws reference from Table 1.1 in Tao (2024).

Satellite Table     Quick Guides     Video Tutorials     Training

Satellite Table

Summary of satellite instruments for atmospheric trace gas monitoring that measure column densities of O3, HCHO, and NO2. This table contains information on satellite instruments, including name, orbit type, launch year, operation period, spectral range, spatial and temporal resolution, and monitoring region. ESA stands for European Space Agency, NASA for National Aeronautics and Space Administration, EUMETSAT for European Organization for the Exploitation of Meterological Satellites, and KARI for the Korea Aerospace Research Institute. This table draws insights from a previous summary table in Gonzalez Abad et al. (2019).

Video Tutorials

Tutorial for Deciphering TEMPO NO2 Variable Names

Dan Goldberg, George Washington University

Tutorial to Download TEMPO Data from NASA Earthdata

Dan Goldberg, George Washington University

Training

Information Session

We held a TEMPO Information and Training Session on January 27th, 2025.

Aaron Naeger (NASA) – TEMPO Updates & Use Cases

Dan Goldberg (George Washington University) – Applications of NO2 satellite data

Hazem Mahmoud (NASA) – TEMPO tools and services by the NASA Atmospheric Sciences Data Center

 

Training Session

Follow along the hands-on training session with this document from Barron Henderson (EPA).

Slides: TEMPO via the Python Interface to Remote Sensing Information Gateway

Step by Step Visuals

Find training materials here, and the Google Colab Notebook here.