BAS & Equadratures Workshop | 1 Dec 2022
Zoom: https://turing-uk.zoom.us/j/94968554438?pwd=TzJPczIvRnJHVjlFNUZ6TVIrTnlQUT09&from=addon
Useful links
Agenda
- Introductions
- Progress update - (Peter: here are my slides)
- Deployment Opportunities before March 2023
- Next Steps
Attendees
- Scott
- James
- Steve
- Peter
- Jen
- Hari
Meeting Notes
- Presentation Notes
- If we have a good interpolating model for direct sun, we can use this for zenith sun (relate zenith observables to actual ozone that could have been measured with direct sun)
- Data processing/challenges
- Minute resolution, missing data, noise
- Springtime depletion (southern hemisphere)
- Set up simplest model - binning observation by month (for 8 months of measurement)
- Generally not a ton of spread besides month 11
- Introducing annual feature
- Combo of GPs
- Slide 5: Blue is the error (95% confidence interval)
- SH: we can potentially find other info to lower error
- SC: not sure because even satellites can't data because they rely on reflective sunlight
- SH: maybe some balloon data? this is where AI can help to blend in datasets together
- Discussion:
- maybe a better fit to start the year in May?
- Questions about tightening priors, bin to daily (does daily or weekly ozone make more sense?), transforms
- SH comments
- Setting of year boundaries starting Jan doesn't make sense re: atmospheric chemistry. Ozone season?
- SC: No measurements from May - August because there is no sunlight and it can't work in the dark; stay clear of May and September
- Perhaps 1 July or 1 August as starting point (June, July or August)
- Minute binning feels very high; there is a potential cycle within the day - is daily averaging too coarse?
- SC: direct sun measurements are manual measurement and there are 5-10 of those a day (Auto Dobson is every 5 min)
- SC: maybe better to compare direct sun measurements with Auto Dobson at the same time (rather than a daily average)
- Currently two equations (1. high sun 2. low sun)
- **SC: what we're hoping to get from the AI is to get 10-20 zenith equations depending on the sun angle (and process using computer rather than by hand)
- Next Steps**
* SC: ozone layer moves around and changes throughout the day, so looking at individual observations
* SC: there should be same moment between a few minutes (should be around the same amount of Ozone)
* PY: instead of annual, focus on resolving on a space of an hour
* SC: Need to get down to specific observations and find the right equation based on mu value; we see a step change in the data right now because of where we change equations
* PY: Where are models for Zenith coming from?
* SC: trial and error trying different models over time to get zenith/direct to match; 3rd, 4th, 5th order polynomials
* Angle of sun has a big effect because of scattering
* PY: are location important? should be fine to have a few km different; all measurements in this dataset taken from Halley station
- Next steps:
- Peter visits BAS to see Dobson - to schedule
- Ideally Monday or Friday when Jonathan is there
- SC: maybe one day before Christmas and then a few days in January (e.g. Mon, Tue, Wed)?
- Start with GP; using equadratures
- ASG end in March 2023
- SC: If we can come up with new Zenith equations to apply to auto-dobson data for past 3 winters, we could reprocess the data with new equations for more accurate measurements (this data is available online and labeled as provisional)
- SH: Another potential option is to provide model online? Through a different website?
- JB: BAS PR - if we are able to move towards demonstrating BAS automation efforts (not just progress on the science side)
- SH: internal toy experiment: build a system - compare what's going online from Auto Dobson against model data
- Potential pipeline: integrate Peter's model data to this?
- Trustworthy AI
- JB: Pipelines/automation - loop in James when it's becoming more important to create a robust implementation (data delivery/APIs)
- SC: Tim Barnes may be the right person to speak to for automation (rather than someone coming in every week to process)