- Created by Unknown User (moa), last modified by Helen Setchell on Sept 15, 2020
Description
The module describes the single-column model (SCM) which is essentially a single-grid column of a General Circulation Model. A GCM can be considered to be a collection of many single-column models, arranged to cover the entire earth, and interacting with each other through a set of rules known as “large-scale dynamics.” The modules introduces basic concepts and highlight the use of SCM in numerical weather prediction models' parameterisation testing
Learning objectives
By the end of the module the participants will be able to understand:
- basic equations regulating a SCM
- how the SCM is used to simplify complex mechanisms regulating the atmosphere
Audience
Post graduate researchers, Forecasters
Link to module
Useful overview of use of SCM
https://www.arm.gov/publications/proceedings/conf04/extended_abs/randall_da.pdf
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
Post graduate researchers, Forecasters
Link to module
Description
In this introductory lecture, the role of parametrization in large scale models will be explained. The relevant processes and their impact will be discussed, using the ECMWF model as an example. Also general ideas will be presented on the development of parametrizations and on their evaluation.
Learning objectives
By the end of the session students should be able to:
• Explain why parametrization is important
• Discuss parametrization development strategies.
Audience
Post graduate researchers, Forecasters
Link to module
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
- Describe the difference between Tropical and Midlatitude convective processes
- Describe the diurnal cycle of convection
- Apply the theory of bouyancy and CAPE to diagnose a convective situation on a tephigram
- Describe 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
Full lecture notes (prose) to support slides
https://www.ecmwf.int/sites/default/files/elibrary/2017/Atmospheric_moist_convection.pdf
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
- Explain the notion of convective adjustment and the mass flux concept in particular
- Describe the basic concepts behind the ECMWF convection parametrization
Audience
Post-graduate researchers, forecasters
Link to module
Full lecture notes (prose) to support slides
https://www.ecmwf.int/sites/default/files/elibrary/2017/Atmospheric_moist_convection.pdf
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. The module will introduce the EPS, how the uncertainty is quantified and a number of products made available to ECMWF data users.
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, post-graduate researchers
Link to module
Description
This module analyses the occurrences of forecast jumps between two consecutive model runs and how ensemble forecasts can help by providing information on the uncertainty.
Learning objectives
At the end of the module, the participants will be able to use model uncertainty to extract valuable information to formulate a forecast
Audience
Forecasters
Link to module
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. The modules will introduce the system, predictability concepts and products made available by ECMWF.
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
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. The module introduces basics concepts and it shows how to retrieve data from MARS using Metview, perform some basic manipulations and plot the result.
Learning objectives
By the end of the module, participants will be able to retrieve data from ECMWF meteorological archive, manipulate the data and plot them.
Audience
Forecasters, product developer, weather providers
Link to module
Description
The aim of this tutorial is to introduce ecFlow functionalities by building a simple suite. Complexity is introduced gradually.
Each page of the 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
Description
ecCodes is 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, which will be introduced in the module.
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
Practical: https://confluence.ecmwf.int/display/OPTR/Solutions+for+GRIB+tools+compare+practicals
Practical: https://confluence.ecmwf.int/display/OPTR/Solutions+to+GRIB+tools+modify+practicals
Description
ECMWF's Meteorological Archival and Retrieval System (MARS) constitutes a unique approach to meteorological data storage and retrieval technology by making vast quantities of meteorological data accessible to thousands of organisations and individuals. The module introduces the archive, data terminology and MARS language.
Learning objectives
By the end of the module, participants will be able to build their own data requests including simple data manipulation.
Audience
Programmers and researchers who need to retrieve ECMWF data from MARS
Link to module
practicals: MARS example requests
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