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User Roles & Goals
This page is for describing the types of user that vAirify is likely to have, and for each help us think about:
- Their role / job
- What their goals are
- What their frequent tasks might be
- The tools they use for those tasks
- Their frustrations / pain points
By understanding these we can help maximise the value of vAirfiy.
(Note that some of the content below is conjecture and has not been validated).
Works in the forecast department.
To make sure that forecast data is available and useful.
To respond to reports of data inaccuracies.
Validation reports of the CAMS global forecast model are available at https://atmosphere.copernicus.eu/eqa-reports-global-services. These are done quarterly, at the time of writing (23rd May) the most recent report covered the period up to end November 2023.
There is also a pair of CAMS forecast evaluation portals. Firstly https://global-eqc-server.atmosphere.copernicus.eu/, the data sources include https://airnow.gov/ which provides current air pollution readings for the US. An example of the data available is shown below, which is for PM10 particles in Vancouver, screenshot taken on 30th May 2024.
Secondly https://global-evaluation.atmosphere.copernicus.eu/ - there is a delay before evaluation data is uploaded, for example for in-situ Carbon Monoxide it is a one month delay. Data is available for Europe & China. An example of the data available is shown below, screenshot taken on 30th May 2024.
The AirNow site includes maps of the air quality in the US:
A few other network-specific evaluation activities and international model inter-comparison results are listed at https://atmosphere.copernicus.eu/global-services.
The tools above are provided by ECMWF partners. In addition to these there is also an internal tool that has been developed directly by the ECMWF.
Official air quality measurements do not have good coverage of the world, which limits the model evaluation that can be done.
There is a significant delay between the occurrence of a large variation between a forecast and an actual reading, and that variation being known to the ECMWF.
Getting Started and Overview
- Product Description
- Roles and Responsibilities
- User Roles and Goals
- Architectural Design
- Iterations
- Decision Records
- Summary Page Explanation
- Deployment Guide
- Working Practices
- Q&A
Investigations and Notebooks
- CAMs Schema
- Exploratory Notebooks
- Forecast ETL Process
- In Situ air pollution data sources
- Notebook: OpenAQ data overview
- Notebook: Unit conversion
- Data Archive Considerations
Manual Test Charters
- Charter 1 (Comparing ECMWF forecast to database values)
- Charter 2 (Backend performance)
- Charter 3 (Forecast range implementation)
- Charter 4 (In situ bad data)
- Charter 5 (Filtering ppm units)
- Charter 7 (Forecast API input validation)
- Charter 8 (Forecast API database sizes)
- Charter 9 (Measurements summary API input validation)
- Charter 10 (Seeding bad data)
- Charter 11 ()Measurements API input validation
- Charter 12 (Validating echart plot accuracy)
- Charter 13 (Explore UI after data outage)
- Charter 14 (City page address)
- Charter 15 (BugFix diff 0 calculation)
- Charter 16 (City page chart data mocking)
- Charter 17 (Summary table logic)
- Charter 18 (AQI chart colour banding)
- Charter 19 (City page screen sizes)
- Charter 20 (Date picker)
- Charter 21 (Graph consistency)
- Charter 22 (High measurement values)
- Charter 23 (ppm -> µg m³)
- Charter 24 (Textures API input validation)
- Charter 25 (Graph line colours)
- Charter 26 (Fill in gaps in forecast)
- Charter 27 (Graph behaviour with mock data)
- Charter 28 (Summary table accuracy)
- Re‐execute: Charter 28
- Charter 29 (Fill in gaps in situ)
- Charter 30 (Forecast window)
- Charter 31 (UI screen sizes)