High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid
Description
The Retina algorithm is specifically designed to assimilate heterogeneous air pollution measurements into an urban dispersion model, producing hourly street-level concentration maps.
This repository contains the code of Retina v2 and the associated input data used to produce the results of "High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid" by Mijling et al. (2025).
Detailed information can be found in the README files.
Files
input-data.zip
Files
(31.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:8f5eb78dd9729f4eb65083a3ec49b8b1
|
30.1 MB | Preview Download |
|
md5:73bb5a76bfd826e4cfa0f7a7368ed6f0
|
1.1 MB | Preview Download |
Additional details
Software
- Repository URL
- https://gitlab.com/KNMI-OSS/retina/retina-madrid-study/
- Programming language
- Python , Fortran
- Development Status
- Active