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Using Earth-system science at ECMWF


Using Earth-system science at ECMWF

Lecture was delivered by Erland Kallen, Director of Research at ECMWF, in July 2013. The lecture covers most aspects of ECMWF research activities.

Earth System Science 1: Intro to ESS. Lecture 1. Introduction and the Scientific Method

UCI ESS 1: Introduction to Earth System Science (Fall 2013)
Lec 01. Introduction to Earth System Science -- Introduction and the Scientific Method --
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Instructor: Julie Ferguson, Ph.D.

License: Creative Commons CC-BY-SA
Terms of Use:
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Description: Earth System Science covers the following topics: the origin and evolution of the Earth, atmosphere, oceans, perspective of biogeochemical cycles, energy use, and human impacts on the Earth system.

Recorded on September 27, 2013

Required attribution: Ferguson, Julie. Introduction to Earth System Science 1 (UCI OpenCourseWare: University of California, Irvine), [Access date]. License: Creative Commons Attribution-ShareAlike 4.0 United States License. (

ECMWF - A brief introduction

The European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organisation supported by 34 states based in Reading, United Kingdom.


This video marks 25 years of ensemble forecasting at ECMWF. Lead Scientist Roberto Buizza, Director-General Florence Rabier and NOAA meteorologist Tom Hamill explain the rationale behind ensemble forecasting and set out what the future holds.

Download the full MP4 version:

Earth System Science Data (ESSD)

Open Science goes Geo - Part I: Research Data

This short course is the first part of the Short Course series 'Open Science goes Geo'. Part I covers research data and its role in the scientific work. The possibilities for publishing research data leveraging Open Science in geosciences are addressed, together with related opportunities and stumbling blocks. Moreover, the ways in which networks can support scientific collaboration on shared datasets are introduced.

Open Science is a broad movement looking beyond Open Access to publish openly and share scientific research immediately. Accessibility is addressed on all levels for everyone, without fees.

Open Science not only deals with Open Access papers but scientific research results in general, including figures, data, models, algorithms, software, tools, notebooks, laboratory designs, recipes, samples and much more. Furthermore, it covers the communication, review, and discussion of research results and considers changing needs regarding incentives, quality assessment, metrics, impact, reputation, grants and funding. Thus Open Science encompasses licensing, policy-making, infrastructures and scientific heritage while safeguarding the dynamic nature of science and its evolving forms.

However, this short course is meant not to carry too far with Open Science. Rather, it looks at what is possible nowadays and what is ready for application in geosciences. The speakers present open data solutions and introduce networks. It is aimed to create an idea on how researchers benefit from Open Science regarding research data. Both the drawbacks and opportunities of open data are outlined.

European Geosciences Union
General Assembly 2015
Vienna | Austria | 12 – 17 April 2015
Tue, 14 Apr, 17:30–19:00

From Weather Dwarfs to Kilometre-Scale Earth System Simulations

In this video from PASC18, Nils P. Wedi from ECMWF presents: From Weather Dwarfs to Kilometre-Scale Earth System Simulations.

The increasingly large amounts of data being produced b weather and climate simulations and earth system observations is sometimes characterised as a deluge. This deluge of data is both a challenge and an opportunity. The main opportunities are to make use of this wealth of data to 1) improve knowledge by extracting additional knowledge from the data and 2) to improve the quality of the models themselves by analysing the accuracy, or lack thereof, of the resultant simulation data. An example of the former case is improved prediction of large scale phenomena such as El Nino. An example of the latter is the improvement of a Physics parameterisation scheme through detailed analysis of the errors in a large number of datasets.

One way to realize these opportunities is to use machine learning approaches. As machine learning in weather and climate is a relatively new topic this minisymposium introduces the audience to how machine learning could be used in weather and climate and outlines its implications in terms of computing costs. To ground the ideas in concrete examples it also illustrates the use of machine learning in the weather and climate domain with practical examples.

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GrADS Analysis #01

The Grid Analysis and Display System (GrADS) is an interactive desktop tool that is used for easy access, manipulation, and visualization of earth science data. GrADS has two data models for handling gridded and station data. GrADS supports many data file formats, including binary , GRIB (version 1 and 2), NetCDF, HDF (version 4 and 5), and BUFR (for station data).

Data may be displayed using a variety of graphical techniques: line and bar graphs, scatter plots, smoothed contours, shaded contours, streamlines, wind vectors, grid boxes, shaded grid boxes, and station model plots. Graphics may be output in PostScript or image formats.

**********Download GrADS*******

For Linux -

For Windows -

******** Practical for you*********

Plot Air temperature, Specific Humidy and Total precipation rate in GrADS using model data?

model data is already given in your GrADS.

you can open your file using path of ctl file and data.

to open netcdf file just type-

sdfopen path of netcdf file

and follow all the steps shown in video.

***** The easy way to use GrADS is that you should keep your model output file (e.g. .ctl gmp grd, .nc etc) in C:\OpenGrADS\Contents\Resources\SampleDatasets

then use GrADS.


A Short Introduction to Climate Models - CMIP & CMIP6

As part of the Coupled Model Intercomparison Project (CMIP) organized under the auspices of the World Climate Research Programme’s (WCRP) Working Group on Coupled Modelling (WGCM) many hundreds of climate researchers, working with modeling centres around the world, will share, compare and analyze the latest outcomes of global climate models. These model products will fuel climate research for the next 5 to 10 years, while its careful analysis will form the basis for future climate assessments and negotiations.

More information:
- Eyring, V., Bony, S., Meehl, G.A., Senior, C.A., Stevens, B., Stouffer, R.J. and Taylor, K.E., 2016. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev., 9(5): 1937-1958.
- GMD Special Issue “Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental Design and Organization” at

Filmography: DKRZ, CMIP, WCRP, YESS Community
Voice-over: Gaby Langendijk & David Carlson
Editing: Gaby Langendijk

ECMWF Corporate Video (English)

In the late 1960s, a number of European scientists had the vision that forecasting the weather up to 10 days ahead would be possible. Such medium-range weather forecasts would be of enormous benefit for the protection, safety and economic development of society. As a result, European governments agreed to combine their individual resources and establish an intergovernmental organisation with the goal of developing, improving and operationally producing medium-range weather forecasts. The European Centre for Medium-Range Weather Forecasts, ECMWF, was born.

Tutorial Download Data ECMWF

Data yang sering digunakan untuk melakukan analisa dari suatu kondisi ekstrem. Sangat mudah diakses dan sangat bermanfaat bagi kita karena tergolong Free.. Jangan lupa share video ini agar rekan-rekan yang belum bsa juga bisa melakukan hal yang sama.

Semoga bermanfaat.


Just A Part Of Meteorology


Earth System Sciences

Preceded by 20 second animation:
Trailer for Earth System Science a proposed documentary and combined education outreach teaching resource about our climate, biosphere the need for dedicated super computing and what we must do to become better stewards of our planet.

We are keen to hear from any potential contributors and participants contact the producer Gerard White at the email address at the end of the trailer

Featuring Bob Bishop ICES; Professor Martin Beniston Director, Institute of Environmental Sciences. University of Geneva; Dr. Ghassem Asrar World Climate Research Program, World Meteorological Organization. Professor Tim Palmer Royal Society Research Professor. Oxford University.

Producer Gerard White
Director Pascal Bergamin

ECMWF in Bologna 2020

'ECMWF in Bologna 2020': From the site of ECMWF's new data centre in Italy, ECMWF's Director-General and Council President, with guests from the Member States, explain the importance of increasing supercomputing capability in order to continue advancing weather science.

Copernicus ECMWF overview

Modelling the Whole Earth System: A Challenge Whose Time Has Come: Bob Bishop at TEDxWarwick 2013

Bob Bishop is the founder and president of the ICES Foundation (International Centre for Earth Simulation), bringing together science, sociology and economics to develop next generation 'holistic' visualizations depicting the future of our planet. The aim of the project is to enhance detection technology, decision support and scientific underpinnings to current and future policymakers, aiming to tackle climate change, extreme weather, geo-engineering, resource depletion, hazard reduction and mitigation. Bob is involved in various global initiatives, with over 40 years' experience in scientific, technical and engineering computing. In 2006, he was awarded the NASA Distinguished Public Service Medal for his role in helping NASA's space shuttle fleet return to flight after the 2003 Columbia disaster.

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

ECMWF development: GPU Cluster (Christian Weihrauch, ECMWF)

This presentation describes configuration of tiny ECMWF GPU Test Cluster used for training and experimentation.
NVIDIA Basic GPU Training with emphasis on Fortran and OpenACC
ECMWF, Reading, UK, 16-17 September 2015

European Weather Model vs. American: What's the difference?

When it comes to forecasts, there's a lot of talk about the European Model (by the ECMWF) vs. the American one (known as the GFS, and made by the National Oceanic and Atmosphere Administration). But is the European model really better? And how are they different?

An introduction to analysis and reanalysis systems

Speaker: Adrian Tompkins
Advanced School and Workshop on Subseasonal to Seasonal (S2S) Prediction and Application to Drought Prediction | (smr 2714

ECMWF Corporate Video (English, short)

In the late 1960s, a number of European scientists had the vision that forecasting the weather up to 10 days ahead would be possible. Such medium-range weather forecasts would be of enormous benefit for the protection, safety and economic development of society. As a result, European governments agreed to combine their individual resources and establish an intergovernmental organisation with the goal of developing, improving and operationally producing medium-range weather forecasts. The European Centre for Medium-Range Weather Forecasts, ECMWF, was born.

Short version of the ECMWF Corpororate Video in English with subtitles.

ERA-5 Reanalysis - High resolution atmospheric data for Earth System Modelling and evaluation

A meteorological reanalysis is a meteorological data assimilation project which aims to assimilate historical observational data spanning an extended period. These reanalysis data sets are widely used in Earth System Sciences for driving model simulations and for evaluation of earth system models and experimental data. ERA-5 comprises the most elaborated reanalysis in terms of spatial and temporal resolution as well as the data assimilation process. ERA-5 is being produced using 4DVar data assimilation in CY41R2 of ECMWF’s Integrated Forecast System (IFS), with 137 model levels in the vertical, with the top level at 80 km. The horizontal resolution is 31 km. It will cover the period January 1950 to near real time. ERA-5 data released so far covers the period 2008 - present.



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