- Created by Unknown User (moa), last modified on Sept 27, 2016
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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
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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Description
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
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
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
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
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