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Air Quality Sensors and Forecasts

This SNWG solution expands current air quality networks, provides air quality forecast products for select locations, and produces PM2.5 forecasts for U.S. embassies and major cities worldwide.

Background

Global-scale modeling of air quality and trace gases provides key information in data-sparse regions of importance to the Department of State (DoS), Environmental Protection Agency (EPA), U.S. Department of Agriculture (USDA), Department of Energy (DOE), and National Oceanic and Atmospheric Administration (NOAA). DoS requests air quality forecasts for health and safety decisions for U.S. Embassies in countries with poorest air quality. EPA and USDA seek air quality (i.e., nitrogen dioxide (NO2)) measurements in agriculture and rural regions; current in situ networks are in urban centers. NASA’s Global Modeling and Assimilation Office (GMAO) will integrate data from distributed Pandora sensors into the Goddard Earth Observing System-Composition Forecast (GEOS-CF) model with downscaling approaches used for more precise air quality forecasts at EPA, USDA, and DoS sites of interest. There is a multi-agency need to improve the United States (U.S.) government's ability to detect and forecast crucial air quality parameters in poorly sampled locations both domestic and international. NASA is the leader in the validation of satellites and models and is leveraging these capabilities to meet these agency needs. This solution leverages and extends existing NASA sensor networks and forecasting models and develops new technology to provide more efficient and accurate atmospheric composition forecasting. 

Status

Currently in Development, but Some Data are Available Now

Installation of Pandora sensors is ongoing for both domestic and embassy sites, and AErosol RObotic NETwork (AERONET) and Clarity sensors will also be installed at select embassy sites. Fine particulate matter (PM2.5) forecasts are available via the AERONET website for 270 embassy locations. NO2 forecasts are currently available, and ozone (O3) forecasts are currently being developed. These forecasts will become available for additional sites as more sensors are installed. 

Solution Characteristics

Solution ComponentAir Quality SensorsGMAO ForecastsPM2.5 Forecasts
Input SourceGround-based Pandora Spectrometer System, AERONET sensors, Clarity sensorsGround-based Pandora Spectrometer System and GEOS-CF model outputGEOS-Forward Processing, Visible Infrared Imaging Radiometer Suite (VIIRS), and available PM2.5 measurements
Output Variables
  • Total column ozone, nitrogen dioxide, formaldehyde
  • Tropospheric profiles of nitrogen dioxide and formaldehyde
  • Ground level concentrations of nitrogen dioxide and formaldehyde
  • Surface PM2.5 concentrations
Total column and surface ozone, nitrogen dioxide, formaldehyde
  • Surface PM2.5 concentration
  • U.S. EPA-defined Air Quality Index
Processing Level244
Temporal CoverageDependent on sensor installationJanuary 2019 - To Be Determined (TBD)May 2024 - present
Temporal SamplingHourlyHourly3-hourly forecasts up to 72 hours in advance, updated daily
Latency1 hourForecasts available NRT, historical data available with 24 hours latencyApproximately 2-4 hours (dependent on GEOS-FP latency)
Spatial CoverageSelect U.S. embassies (20) and agricultural sites (10)Select U.S. embassies (20) and agricultural sites (10) with plans to scale to all operational Pandora sensor locationsSelect U.S. embassies (270) and cities (10,000+)
Spatial ResolutionPoint locationsPoint locations Point locations
Data FormatText files, HDF5Text files, JSON filesASCII (available via API)

Societal Impact

This solution provides measurements of air quality relevant to human health in international urban and domestic rural locations that lack the advanced measurement capabilities that are provided in domestic urban locations. It will also provide historical analyses and 5-day air quality forecasts at U.S. embassy locations, helping to better understand, anticipate, and mitigate human exposure to harmful air pollution.​ 

Solution Resources

Need help using this solution? A number of relevant training resources are aggregated into the following categories below: Fundamentals of Remote Sensing, Missions and Instruments, Data Products and Descriptions, Data Access and Code Examples, and Use Case and Application Examples. Information on workshops and open meetings are also included. The resources below are for the Air Quality Forecasts and Distributed Pandora Sensors product. Access Pandora station data, AERONET data, Clarity sensor data, and the Air Quality Forecasts prototype.

Training Resources

TopicResourceDescription
Fundamentals of Remote SensingSpectroscopy and Remote SensingAn introduction to basic concepts in spectroscopy and remote sensing
What is Spectroscopy?Overview of spectroscopy, the measurement technique used by the Pandora spectrometer system
Passive InstrumentsAn overview of passive instruments used for remote sensing of NASA Earth science data, including spectrometers
TopicResourceDescription
Missions and InstrumentsPandora ProjectThe Pandora Project home page that provides links to other relevant resources
Pandora Spectrometer SystemDetails about the Pandora instrument, its campaign involvement, and its data products
Pandora Instrument ComponentsHardware specifications for each version of the Pandora instrument design
TopicResourceDescription
Data Products and DescriptionsPandonia Global Network (PGN) ReportsTechnical documentation for the Pandonia Global Network (PGN), a network of Pandora sensors distributed globally to assist with satellite validation efforts
NASA CASEI - PandoraThe Catalog of Archived Suborbital Earth Science Investigation's (CASEI) list of NASA Pandora data products 
Air Quality Sensors and Forecasts: SNWG Solution Fact SheetSatellite Needs Working Group (SNWG) solution fact sheet for the Air Quality Sensors and Forecasts solution that includes an overview of the solution, its societal benefit, and data specifications such as temporal coverage and spatial resolution
Pandora ProductsOverview of the Pandora data products by retrieval type
TopicResourceDescription
Data Access and Code ExamplesPandonia Global Network (PGN) Pandora Data VisualizationsPandora station data visualizations for the PGN (Pandonia Global Network)
Earthdata Search Pandora Data ProductsNASA datasets utilizing the Pandora instrument
Pandonia Global Network (PGN) Pandora DataAccess to PGN Pandora station data
AERONET Data ExplorerAccess to AERONET Sun photometer data
Clarity OpenMapAccess to Clarity sensor data
SNWG Air Quality Forecasts (prototype)Solution prototype for exploring air quality forecast data 
TopicResourceDescription
Use Case and Application ExamplesEvaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island SoundUse of Pandora spectrometers to measure tropospheric column nitrogen dioxide (NO2) for the evaluation of Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) NO2 products during the Long Island Sound Tropospheric Ozone Study (LISTOS)
The first evaluation of formaldehyde column observations by improved Pandora spectrometers during the KORUS-AQ field studyUse of Pandora spectrometers for formaldehyde observations during the Korea-United States Air Quality Study (KORUS-AQ)
Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transportUse of Pandora systems within the Pandonia Global Network (PGN) for total column ozone observations
Sulfur dioxide (SO2) vertical column density measurements by Pandora spectrometer over the Canadian oil sandsArticle describing the use and analysis of sulfur dioxide (SO2) vertical column densities retrieved by the Pandora spectral Sun photometer in Fort McKay, Alberta, Canada, from 2013 to 2015

Workshops and Open Meetings

Title and Registration LinkDescriptionDate
Pandonia Global Network 1st WorkshopThe first workshop for the Pandonia Global Network (PGN) that covered PGN operation, algorithms, quality assessment, data processing, calibration, stations, data policy, and other topics.September 17, 2019