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Online computing training week 2024 - Transition to the new CDS and ADS

Online computing training week 2024 - Transition to the new CDS and ADS

Format: Videos
This session provides an update on the transition to the new Copernicus Data Store (CDS) and Atmospheric Data Store (ADS...
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.

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.