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Single Column Model

Description

 

Learning objectives


Audience


Link to module

Single Column Model - Metview interface.

Description

The Single Column Model is used in the practical sessions with the metview interface.

Learning objectives

  • To understand how to launch the SCM in metview
  • Setup a metview icon for running a simple experiment
  • Be able to use the profile adjuster to add a cloud into the profile

Audience

Training course attendees (coming for face to face training) Post graduate researchers,

Link to module

Convection (1)

Description

Convection affects all atmospheric scales. Therefore, the convection session aims to provide a deeper understanding of the atmospheric general circulation and its interaction with convective heating and vertical transports. The notions and techniques acquired during the course should be useful for developers of convective parametrizations, forecasters and for analysing output from high-resolution convection resolving models.

Learning objectives

 

By the end of the session you should become familiarised with

 

•    the interaction between the large-scale circulation and the convection including  radiative-convective equilibrium and convectively-coupled large-scale waves

 

 

 

Audience

Post-graduate researchers, forecasters

Link to module

Convection (2)

Description

Convection affects all atmospheric scales. Therefore, the convection session aims to provide a deeper understanding of the atmospheric general circulation and its interaction with convective heating and vertical transports. The notions and techniques acquired during the course should be useful for developers of convective parametrizations, forecasters and for analysing output from high-resolution convection resolving models.

Learning objectives

  • the notion of convective adjustment and the mass flux concept in particular
  •  the basic concepts behind the ECMWF convection parametrization and some useful numerical tricks

Audience

Post-graduate researchers, forecasters

Link to module


Introduction to Ensemble Forecasting

Description

The ECMWF EPS represents uncertainty in the initial conditions by creating a set of 50 forecasts starting from slightly different states that are close, but not identical, to our best estimate of the initial state of the atmosphere (the control). Each forecast is based on a model which is close, but not identical, to our best estimate of the model equations, thus representing also the influence of model uncertainties on forecast error.

Learning objectives

By the end of the module, participants will have an understanding of the concepts behind ensemble forecasting, sources of uncertainty and their qualification. They will also be familiar with a number of products derived from the ensemble forecasting system

Audience

Forecasters, product developer, weather providers, scientists

Link to module

Why ensemble forecasting?

Learning how to cope with model jumpiness

Description

 

Learning objectives


Audience


Link to module

Monthly forecast

Description

The extended-range forecast (also known as Monthly forecast) provide an overview of the forecast for the coming 46 days, focusing mainly on the week-to-week changes in the weather. The system is run as an extension of the ECMWF Ensemble Prediction System twice a week. It is run 51 times from slightly different initial conditions. One forecast, called the control forecast, is run from the operational ocean and atmosphere ECMWF analyses. 50 additional integrations, the perturbed members, are made from slightly different initial atmospheric and oceanic conditions, which are designed to represent the uncertainties inherent in the operational analyses

Learning objectives

By the end of the module, participants will be familiar with the sources of predictability for the extended range forecasts, the set up of the Monthly forecasting system at ECMWF and its skills, and products available on the ECMWF website.

Audience

Forecasters, product developer, weather providers

Link to module

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Introduction to Metview

Description

Metview is a meteorological workstation application designed to be a complete working environment for both the operational and research meteorologist. Its capabilities include powerful data access, processing and visualisation.

 

Learning objectives

The following tutorial was written for ECMWF's Introduction for New Users course (COM_MARS) and shows how to retrieve data from MARS using Metview, perform some basic manipulations and plot the result.

Audience

Forecasters, product developer, weather providers

Link to module

A Quick Tour of Metview

ECMWF New Users Metview Tutorial

***** NEED TO CHOOSE *******

ecFlow

Description

The aim of this tutorial is to introduce ecFlow functionalities by building a simple suite. Complexity is introduced gradually.

Each page of the online tutorial introduces a new concept and provides a list of exercises to complete. Links to relevant ecFlow documentation is also provided.

Learning objectives

By the end of the module, participants will be familiar with ecFlow functionalities and will be able to build simple suites.

Audience

Technical staff, IT developers

 

Link to module

ecFlow tutorial

ecCodes

Description

ECMWF has developed ecCodes: an application program interface developed for decoding and encoding messages in GRIB. ecCodes relies on a useful set of command line tools to provide quick access to the messages.

Learning objectives

By the end of the module, participants will be familiar with a set of command line tools which provide an easy way to access and modify information contained in a GRIB messages. More specifically:

  • Understanding the use of ecCodes and obtaining information about its installation

  • Inspecting the content of GRIB files 

  • Printing data values from GRIB messages 

  • Comparing the content of GRIB messages 

  • Copying GRIB messages 

  • Making simple modifications to the GRIB header information 

Audience

Programmers and researchers who need to decode ECMWF data to use it in their applications

Link to module

https://software.ecmwf.int/wiki/display/OPTR/ecCodes%3A+GRIB+and+BUFR+data+decoding+and+encoding+software?preview=/55128009/55128086/ecCodes_grib_tools.pdf

https://software.ecmwf.int/wiki/display/OPTR/ecCodes%3A+GRIB+and+BUFR+data+decoding+and+encoding+software?preview=/55128009/55128630/eccodes-grib-tools2-2016.pdf

Practical: https://software.ecmwf.int/wiki/display/OPTR/Solutions+for+GRIB+tools+compare+practicals

Practical: https://software.ecmwf.int/wiki/display/OPTR/Solutions+to+GRIB+tools+modify+practicals

Introduction to MARS

Description

 

Learning objectives


Audience


Link to module

 

 

 

 

 

 

 

 

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