Showing 61 - 72 of 81 results
Tutorial: Data Access and  Visualisation of Lake Water Level (LWL) timeseries

Tutorial: Data Access and Visualisation of Lake Water Level (LWL) timeseries

Format: Jupyter notebooks

How to access the water level data for a specified lake and how to visualise its timeseries and yearly water level anomalies

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.

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.