Showing 37 - 48 of 56 results

Metview for the Single-Column Model (SCM)

Format: Interactive modules (eLearning)

This lesson provides an overview of Metview's main features to analyse and edit input data for the single-column model.

MARS ECMWF's meteorological archive

Format: Interactive modules (eLearning)

The Meteorological Archival and Retrieval System (MARS) enables users to access and retrieve ECMWF’s historical data.

ecCodes – Manipulating GRIB data with tools and API

Format: Interactive modules (eLearning)

This lesson is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.

Introduction to BUFR decoding with ecCodes

Format: Interactive modules (eLearning)

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.

ecCodes: Decoding with GRIB tools

Format: Interactive modules (eLearning)

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB format.

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.

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.