Ideas for next generation of HAQAST

[Jenny Bratburd]

The request for proposals for the next generation of HAQAST is now out, along with many others related solicitations

Based on feedback from the HAQAST Ambassadors, we wanted to put together a forum to discuss ideas for proposals, especially suggestions from stakeholders. Please feel free to comment here, or post your own thread with ideas!

 

[Zac Adelman]

Here's a list of ideas that we came up with at LADCO, based on internal discussions and outreach with our member states.

• Quantitative and qualitative comparison tool for photochemical model evaluation with TEMPO: enable bias and error calculations using TEMPO and plotting to compare model to TEMPO retrievals; questions to address: can we evaluate photochemical grid model surface predictions with TEMPO? can we create spatial plots to compare model to TEMPO "obs"?
• Emissions profile estimation with TEMPO: find temporal and spatial patterns in the retrievals to infer emissions source profiles; questions to address: can we identify onroad vs nonroad freight emissions patterns, or different types of buildings (e.g., warehouses vs residential vs light industrial) using ambient retrievals from TEMPO
• Image processing and pollution observations: connect high pollution “regions” in TEMPO with imagery and landuse data to characterize source regions/sources; questions to address: are there spatial patterns in the imagery/LULC data that are associated with pollution patterns in TEMPO?
• TEMPO machine learning inventory: develop NOx emissions inventory that uses TEMPO, land-use, point source locations, roadway locations, etc to develop a NOx emissions estimate from TEMPO; questions to address: can we use TEMPO to evaluate and bias-correct our bottom-up inventories?
• Ozone statistical model using TEMPO: integrate TEMPO data into ML models to develop a statistical model for ozone
• Machine learning to identify surface smoke from satellite data: train an ML model using pandoras and/or ceilometer data to estimate surface smoke conditions using routine meteorology/AQ surface data; can we identify signals in routine surface met and AQ obs data that identify when fire smoke is reaching the surface
• Smoke Vertical Mixing Tool : use satellite data and reanalysis model output, e.g., HRRR, to develop analysis products for surface smoke analysis; products should include model ensemble predictions of surface smoke, a smoke data dashboard with curtain plots, aerosol vertical profiles, speciated PM estimates at the surface and aloft, atmospheric stability metrics, PBL heights, vertical winds, air parcel history, smoke vertical profiles
• Ammonium nitrate chemistry indicators from satellite data: use fused satellite retrievals and surface obs of ammonia, NOx, and VOCs to develop indicators of particulate nitrate chemistry by location and season; application of this tool will be to inform emissions control strategies for the PM2.5 NAAQS
• Urban organic aerosol tool: use satellite and surface observations to identify the drivers and controls of SOA, particularly in urban areas