Showing 121 - 131 of 131 results
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.

Seasonal Forecast Anomalies

Seasonal Forecast Anomalies

Format: Jupyter notebooks

Introduction to calculating seasonal forecast anomalies. Visualisation as spatial maps, time series and interactive plot

Seasonal forecast verification

Seasonal forecast verification

Format: Jupyter notebooks

Access hindcast data of 2-metre temperature; Compute anomalies, averages and verification metrics.

Comparing satellite data with models

Comparing satellite data with models

Format: Jupyter notebooks

Introducing the theory of comparing satellite retrievals with model fields using averaging kernels and operators.

TROPOMI Ozone Profile retrievals

TROPOMI Ozone Profile retrievals

Format: Jupyter notebooks

Analysing TROPOMI ozone profiles using averaging kernels to compare satellite retrievals with model vertical structure.

Comparing TROPOMI NO2 columns with the CAMS regional air quality ensemble product

Comparing TROPOMI NO2 columns with the CAMS regional air quality ensemble product

Format: Jupyter notebooks

Comparing TROPOMI NO₂ observations with CAMS regional fields to assess spatial patterns and air-quality variability.

European Air Quality Index Calculation

European Air Quality Index Calculation

Format: Jupyter notebooks

Calculating and mapping the European AQI from CAMS pollutant data and analysing pollutants with heat maps.

Global Air Quality Index

Global Air Quality Index

Format: Jupyter notebooks

Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.

Antarctic Ozone Hole Monitoring Tutorial

Antarctic Ozone Hole Monitoring Tutorial

Format: Jupyter notebooks

Processing and visualising CAMS ozone fields to visualise and animate the Antarctic ozone hole.