Compare CAMS analysis with available observations on specific locations.
Jupyter notebook comparing CAMS and air quality measurements
Data downloaded from the EBAS database through its web portal is provided in a format based on the NASA Ames format.
Jupyter notebook comparing CAMS and air quality measurements.
The EBAS Nasa Ames format, just as normal NASA Ames, consists of a tabular data section preceded by a header containing the metadata.
Use a well established format as long as all metadata can be conveyed rather than inventing a new format that would increase the format confusion.
Iaquinta, Jean, and Anne Foilloux. "Jupyter notebook comparing CAMS and air quality measurements." ROHub. Dec 20 ,2021. https://w3id.org/ro-id/5f2e7ab8-8122-41b3-8d53-060e09855fa7.
Contains the tools used for executing this RO
contains information and links to input data that are needed for executing this executable RO
Contains bibliographic resources related to this RO
Contains all the outputs generated by this executable RO
Working progress. This Jupyter notebook is in Github and is regularly updated.
Jupyter Notebook for comparing CAMS with observations during lockdown
NO2 timeseries at a given location and for different years (2019, 2020, 2021). Here the timeseries is for NO2 in Madrid.
NO2 Timeseries 2019, 2020 and 2021 over Madrid
This is the rendered version (with jupyter-book) of the Jupyter Notebook comparing CAMS and air quality measurements.
Rendered jupyter notebook comparing CAMS and air quality measurements
Copernicus Atmosphere Time Series of O3 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)
CAMS timeseries of NO2 for 2019, 2020 and 2021 at selected locations
Copernicus Atmosphere Time Series of NO2 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)
Copernicus Atmosphere Time Series of PM2.5 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)
Nordic e-Infrastructure Collaboration (NeIC)