Showing 25 - 36 of 40 results
Analyzing Ocean Colour and Sea Surface Temperature during El Niño and La Niña Events

Analyzing Ocean Colour and Sea Surface Temperature during El Niño and La Niña Events

Format: Jupyter notebooks

OC and SST datasets from CDS: subset and download, visualise time series, aggregate daily to monthly, calculate anomalies

Looking at Sea Level and derived Surface Current data

Looking at Sea Level and derived Surface Current data

Format: Jupyter notebooks

Practical introduction to the Sea level gridded data: plotting data during an El Niño event and over a strong current

Exploring the Climate Change Service (C3S) Surface Albedo product available through the Climate Data Store (CDS)

Exploring the Climate Change Service (C3S) Surface Albedo product available through the Climate Data Store (CDS)

Format: Jupyter notebooks

Surface Albedo product. Three case studies: data retrieval, visualisation, time-series creation, set up Python environment

Computing the time average of LAI and fAPAR using inverse variance weights

Computing the time average of LAI and fAPAR using inverse variance weights

Format: Jupyter notebooks

LAI and fAPAR retrieved with satellite remote sensing. Computation of inverse variance weights

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.

Plot an ensemble of CMIP6 climate projections

Plot an ensemble of CMIP6 climate projections

Format: Jupyter notebooks

Access CMIP6 global climate projections from the C3S Climate Data Store, plot projected 2m temperature from model ensemble.

Analysis of projected versus historical climatology with CORDEX data

Analysis of projected versus historical climatology with CORDEX data

Format: Jupyter notebooks

Introduction to CORDEX regional climate model data on single levels. Compute difference in air temperature climatologies.

Tutorial on climatologies using climate data from C3S

Tutorial on climatologies using climate data from C3S

Format: Jupyter notebooks

Access ERA5 data from the C3S Climate Data Store. Analyse climatologies and trends in near-surface air temperature.