Showing 73 - 84 of 109 results
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.

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.

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Format: Interactive modules (eLearning)

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data.

The ECMWF sub-seasonal (extended range) forecasts: Introduction

The ECMWF sub-seasonal (extended range) forecasts: Introduction

Format: Interactive modules (eLearning)

Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.

The Extreme Forecast Index (EFI) and the Shift Of Tail (SOT) index

The Extreme Forecast Index (EFI) and the Shift Of Tail (SOT) index

Format: Interactive modules (eLearning)

Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.

Satellite observations and their role in NWP

Satellite observations and their role in NWP

Format: Interactive modules (eLearning)

Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.

Forecast Jumpiness: An introduction

Forecast Jumpiness: An introduction

Format: Interactive modules (eLearning)

Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.

Sources of Uncertainty

Sources of Uncertainty

Format: Interactive modules (eLearning)

Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.