Published August 25, 2026
| Version v1
SCOUT Data Processing and Analytics
Description
SCOUT Processing August 2026
Includes the processing pipeline and analytical notebooks as used in the publication "SCOUT: Munich Urban Street-level CO2 Sensor Network".
The processing comprises the following steps:
- 00_flag_outliers: load raw sensor data, add computed values, flag outliers
- 02_apply_multimodel: train and apply 3 different sensormodels for referenc: slope&Bias correction, Müller model, ROLS model
- 03_export_ICOSCP_files: combine multiple sensors from a single location and export in ICOS CP format
- 04_manual_QC_flagging: plot the data and manually flag outliers
- 05_ICOSCP_upload: upload to the ICOS Carbon Portal
Files
Files
(11.1 MB)
| Name | Size | Download all |
|---|---|---|
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md5:87a6fd39f574bf4dd936f7e09aeaf1eb
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11.1 MB | Download |
Additional details
Funding
- European Commission
- PAUL - Pilot Application in Urban Landscapes - Towards integrated city observatories for greenhouse gases 101037319
- European Commission
- CoSense4Climate - Compressed Sensing for Climate: A Novel Approach to Localize, Quantify and Characterize Urban Greenhouse Gas Emitters 101089203
- Bundesministerium für Forschung, Bildung und Raumfahrt
- MCube Phase 2, DatSim 2.0 03ZU2105HA
Software
- Repository URL
- https://github.com/tum-esm/scout-data-processing
- Programming language
- Python