Showing 1 - 9 of 9 results
Emissions

Emissions

Format: Jupyter notebooks

Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.

CAMS Global Atmospheric Composition Forecast Practical

CAMS Global Atmospheric Composition Forecast Practical

Format: Jupyter notebooks

Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.

CAMS Global Reanalysis Practical

CAMS Global Reanalysis Practical

Format: Jupyter notebooks

Exploring CAMS global reanalysis fields to study atmospheric composition, trends, and long-term variability.

CAMS-MOS

CAMS-MOS

Format: Jupyter notebooks

Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.

CAMS Regional Air Quality Forecast Practical

CAMS Regional Air Quality Forecast Practical

Format: Jupyter notebooks

Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.

Create Animations from CAMS Data

Create Animations from CAMS Data

Format: Jupyter notebooks

Access CAMS global atmospheric composition forecasts and view time series as animations.

Create Maps from CAMS Data

Create Maps from CAMS Data

Format: Jupyter notebooks

Create maps of CAMS global atmospheric composition forecast data for multiple parameters.

Profile Plots and Zonal Means

Profile Plots and Zonal Means

Format: Jupyter notebooks

Visualising vertical profiles of species from CAMS data to examine atmospheric layering and profile behaviour.

Plot Time Series of CAMS Data

Plot Time Series of CAMS Data

Format: Jupyter notebooks

Downloading, calculating and plotting global CO2 time series using CAMS reanalysis data.