Tag - Computing services and tools

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

Six modules introducing the main topics in machine learning in the context of weather and climate.

Level: Fundamentals

Certification course: No

What you'll learn:

An overview of machine learning in weather and climate
Unpack, at a conceptual level, key concepts and topics in ML
Applications and recent advances in the field

Prerequisites:

A basic knowledge of weather and climate, statistics and computing.

Full description:

In this first tier of our MOOC on Machine Learning (ML) in Weather and Climate, we give a broad overview of the key concepts ML and its applications in recent years to topics from forecasting and data assimilation to post-processing, observations and computing. This course is aimed as an introduction, which is accessible to those with an interest in ML, weather and climate, but without necessarily requiring a very technical background.

This course features a mixture of interactive modules, webinar recordings, quizzes, podcasts and code examples.

Please note that this course ran live in early 2023 and reflected the state of the art at that point in time.

Estimated duration: 14 hours

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Atmospheric composition: No

Climate: Yes

Computing services and tools: Yes

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Machine Learning

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

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

Level: Fundamentals

Certification course: No

What you'll learn:

Raw skills to use the SAPP Jupyter notebook to get you started
How to modify the SAPP system for your requirements
Better understanding of the three-stage data workflow: Acquisition stage, Processing stage and Extraction stage

Full description:

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data. This lesson is aimed at users with little or no experience of SAPP and will provide the raw skills needed to use SAPP.

Estimated duration: 40 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

Using ECMWF computing facilities: the batch system

This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.

Level: Others

Certification course: No

What you'll learn:

How to run tasks in batch
How to submit, query and cancel jobs
How to correct common errors
How to check the accounting database

Full description:

This lesson will focus on ECGATE - ECMWF's server dedicated to the users' work. You will learn how to run tasks in batch, submit, query and cancel jobs, correct common errors and check the accounting database.

Estimated duration: 40 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

A starter guide to ecFlow

ecFlow is a workflow package that enables users to run a large number of programmes behind a firewall.

Level: Fundamentals

Certification course: No

What you'll learn:

Understand ecFlow vocabulary
Start and stop the server
Use the command line and Python clients
Design a simple suite with its related task headers and script templates

Full description:

ecFlow is a workflow package that enables users to run programmes behind a firewall. During this lesson, you will learn ecFlow vocabulary and how to run a simple suite.

Estimated duration: 40 minutes

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

ecCodes – Manipulating GRIB data with tools and API

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

Level: Others

Certification course: No

What you'll learn:

How to handle and manipulate GRIB data with the advanced ecCodes GRIB tools, such as: grib_copy, grib_set, grib_-lter
Basic features of the ecCodes Application Programming Interfaces (API), which will give you the highest flexibility and level of control when handling GRIB data

Full description:

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson focuses on handling GRIB data with ecCodes tools.

Estimated duration: 40 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

MARS ECMWF's meteorological archive

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

Level: Fundamentals

Certification course: No

What you'll learn:

What the MARS catalogue is
How the data is organised in the archive
How to create a customised data retrieval
How to improve the efficiency of your MARS requests

Full description:

The Meteorological Archival and Retrieval System (MARS) enables users to access ECMWF’s data. This lesson will teach you how to create a customised data retrieval.

Estimated duration: 30 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

Metview for the Single-Column Model (SCM)

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

Level: Others

Certification course: No

What you'll learn:

A quick overview of Metview's main features
How to use Metview to analyse and edit input data for the single-column model
How to run the model and visualise its output

Full description:

This lesson will provide a quick overview of Metview's main features and enable you to use Metview to analyse and edit input data for the single-column model, run the model and visualise its output.

Estimated duration: 30 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Computing services and tools

Exploring meteorological data through OGC web services

This lesson describes the web services used to visualise geographical data and outlines what OGC and INSPIRE are.

Level: Others

Certification course: No

What you'll learn:

Define what web services are
Explain the typical challenges of meteorological data
Describe how the meteorological community can benefit from web services
Explain why we need data standards
Outline what OGC and INSPIRE are

Full description:

Web services are used to visualise geographical data. This lesson describes web services, data standards and outlines what OGC and INSPIRE are.

Estimated duration: 40 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Computing services and tools

Introduction to Metview

Metview is a meteorological workstation application that enables you to access and visualise meteorological data.

Level: Fundamentals

Certification course: No

What you'll learn:

How to use Metview to handle meteorological data files
How to inspect metadata
How to perform computations
How to visualise the results
Hands-on experience in creating sophisticated layouts comprising multiple plots on the same page
Generate and run Macro programs to obtain plots via an automated process

Full description:

Metview is a powerful meteorological workstation application that enables you to access, process and visualise meteorological data. In this lesson you will learn how to use MetView.

Estimated duration: 40 minutes

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Computing services and tools

ecCodes: Decoding with GRIB tools

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

Level: Others

Certification course: No

What you'll learn:

What ecCodes is
What GRIB format is
Inspect the content of GRIB messages using the following GRIB tools: grib_ls, grib_dump, grib_get and grib_get_data

Full description:

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson will teach you how to inspect GRIB messages using GRIB tools.

Estimated duration: 30 minutes

Hide last updated info: No

Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Computing services and tools

Introduction to BUFR decoding with ecCodes

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

Level: Fundamentals

Certification course: No

What you'll learn:

Explain what BUFR is
Describe its structure
Identify data descriptors
Use ecCodes tools for decoding BUFR data

Full description:

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson will introduce you to the BUFR format for decoding of BUFR data.

Estimated duration: 30 minutes

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Computing services and tools

MARS – advanced retrievals, data manipulation and computations

The Meteorological Archival and Retrieval System (MARS) enables access to ECMWF data. Explore its computing capability

Level: Others

Certification course: No

What you'll learn:

How to combine multiple requests into one call to MARS
How to write fields into multiple files
How to manipulate already retrieved data
Explain the concept of fieldsets
MARS computations

Full description:

The Meteorological Archival and Retrieval System (MARS) enables users to access ECMWF’s data. This lesson will look at MARS requests and explore its compute capability.

Estimated duration: 40 minutes

Hide last updated info: No

Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Computing services and tools

Computing services and tools

Courses tagged with "Computing services and tools"