The goals of the Atmosphere Observing System (AOS) are to study processes of aerosols, clouds, convection and precipitation in order to better understand our Earth system in an integrated way and enhance and improve the communities' ability to forecast weather, monitor air quality, and model climate processes. The Application Impact Team will help support, connect and enable how AOS products can be used to benefit society through a broad range of applications and user communities.

More than 20 high-level potential enabled applications in five thematic areas have been identified: (1) Weather, Air Quality and Climate Modeling and Forecasting (2) Disaster Monitoring and Modeling (3) Water Resources (4) Health, and (5) Infrastructure and Development. View the Applications Traceability Matrix »

The AOS Early Adopter program will begin soon. The AOS Early Adopter program will promote applied science and applications research designed to scale and integrate AOS data into policy, business, and management activities that benefit society and inform decision making. Interested in becoming an Early Adopter? Please contact the AOS Applications Team: Emily Berndt and Andrea Portier.

Weather, Air Quality, and Climate Modeling and Forecasting

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Disaster Monitoring and Modeling

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Water Resources

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Infrastructure and Development

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AOS Enabled Applications (All)

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AOS Enabled Applications

  • Weather Forecasting: Tropical cyclone development and forecasting
  • Weather Forecasting: Monitoring and nowcasting of convective storms and hazards
  • Weather Forecasting: Atmospheric rivers
  • Weather Forecasting: Aviation hazards related to low clouds and fog, smoke, dust or icing
  • Weather Forecasting: Pre-fire weather monitoring for wildfire response and management
  • Numerical Weather Prediction: Representation of initial conditions and data assimilation
  • Numerical Weather Prediction: Coupling of aerosols within numerical weather prediction modeling
  • Numerical Weather Prediction: Development and verification of cloud/convective parametrizations
  • Operational Air Quality Forecasting: Tracking dust, wildfire smoke, and volcanic plumes
  • Air Quality Forecasting: Forecast initialization and verification
  • Aerosol & Precipitation Interactions: Air quality modeling and forecasting (transport, scavenging, wet deposition, dry deposition, chemical transformation)
  • Climate Modeling: Parametrization of clouds, particle distribution for aerosols and precipitation
  • Climate Modeling: Global climate smoke aerosol transport and aerosol and aerosol/cloud feedback
  • Disaster Monitoring and Modeling: Flood, landslide, and post-fire debris flow
  • Disaster Modeling: Volcanic plume, smoke aerosol vertical distribution and extent for transport modeling, aviation, and public health
  • Disaster Risk: Parametric and risk modeling
  • Hydrologic Modeling: Drought analysis/forecasting for fire weather, agriculture, and ecosystem health
  • Agricultural Modeling and Monitoring: Water resource management influencing freshwater availability
  • Hydrologic Modeling: Estimate total water fluxes at watersheds including snowmelt, snow cover, and watershed analysis for irrigation
  • Health Insurance and Reinsurance: Determine pollution exposure risks
  • Health and Ecological Forecasting/Monitoring: Vector- and water-borne disease monitoring/modeling (e.g. malaria)
  • Air Quality Rule and Regulation Making: Determine patterns of air pollution exposure to determine impacts of regulations, areas that need greater monitoring efforts, and conduct source apportionment
  • Estimating Air Pollution: Determine exposure and impact on health outcomes to assess health risks
  • Operational Air Quality Forecasting: Air quality alerting and monitoring for extreme air quality events
  • Energy Planning: Hydropower potential and modeling
  • Energy Planning: Estimate radiative fluxes for solar insolation and estimate wind availability for wind energy production
  • Transportation and Logistics: Assess supply chain, road network maintenance, and urban planning concerns