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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.

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.

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 --
View the complete course:

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. (

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

Research and development at ECMWF

Speaker: Erland Källén (ECMWF, UK)
ICTP/ECMWF/Univ. L’Aquila Workshop on OpenIFS | (smr 3123)

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


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:

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)

Thomas Jung: The Digitial (R)Evolution: Opportunities and Challenges for Earth System Modelling

Helmholtz Horizons 2018

The Digitial (R)Evolution: Opportunities and Challenges for Earth System Modelling

His work
Thomas Jung is an expert in the analysis, modelling and prediction of the climate system. Currently his work is focussing on the development of a new generation Earth system models that effectively and realistically simulate critical processes, such as ocean eddies, along with their impact on climate. By doing so, Thomas and his group exploit some of the largest high performance computing systems in the world.

About Thomas
Thomas Jung works at the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research in Germany. He has received his PhD in atmospheric physics from University of Kiel and the Institute for Marine Research (now GEOMAR). He then went on to work for 10 years in the Research Department of the European Centre for Medium-Range Weather Forecasts (ECMWF) in the UK. Thomas is head of the Climate Dynamics section at AWI and full professor for physics of the climate system at the University of Bremen. He is also spokesperson of AWI’s research programme. Furthermore, he acts as the chair of various committees, including the Polar Prediction Project of the World Meteorological Organisation. Thomas coordinates major research projects such as APPLICATE, which is funded through the Horizon2020 program, and Advanced Earth System Modelling Capacity, which is funded through the Helmholtz Association.

Our society is facing major challenges but also huge opportunities. We at Helmholtz combine cutting-edge research and outstanding technology in order to meet these challenges to shape a better future. The Helmholtz Horizons Symposium 2018, hosted by the President of the Association, highlights scientific breakthroughs of Helmholtz’s established researchers, showcases our talented early career researchers, and gives a platform to the entrepreneurs and innovators, who ensure that our research has societal impact. This year’s overarching theme is 'The Digital (R)Evolution in Science'.

Visit the Helmholtz Horizons Website:
Video production: BIOCOM

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

Tutorial Download Data ECMWF Otomatis Menggunakan Python

ECMWF - Precise Weather Forecasts

Collecting large amounts of data to define the current situation and processing this data through a sophisticated mathematical model are essential components for generating accurate weather forecasts. The European Centre for Medium-Range Weather Forecasts is the world leader in this field. With our animated video we convey an impression of the organisation's work.

Complete Production of Precise Weather Forecasts by ECMWF: Design & Data GmbH


Eine riesige Sammlung von Daten und deren Verarbeitung durch ein komplexes mathematisches Model sind essenzielle Bestandteile für das Generieren von präzisen Wettervorhersagen. Das Europäische Zentrum für mittelfristige Wettervorhersage (EZMW, engl. ECMWF) ist in diesem Bereich Weltmarktführer. Mit unserem Animationsfilm vermitteln wir einen Eindruck davon, wie die Organisation arbeitet.

Komplette Produktion von Precise Weather Forecasts by ECMWF: Design & Data GmbH

Errand Källén - Weather Prediction and the Scalability Challenge Final

Weather prediction using high performance computing relies on having physically based models of the atmosphere that can deliver forecasts well in advance of the weather actually happening. Numerical weather prediction (NWP) is an initial value problem where globally distributed observations, coming from satellites as well as the Earth's surface and in-situ atmospheric observations, are continuously processed to define starting points for weather forecasts. Typically tens of millions of observed quantities have to be processed in real time within an hour. A forecast model is then integrated forwards in time out to two weeks ahead, also within an hour. The forecast information is subsequently distributed to users all over the world. A European intergovernmental organisation, ECMWF (European Centre for Medium range Weather Forecasts), was established forty years ago to deliver global forecast information to its member states. The forecasts have a very high quality, regular assessments conducted by the World Meteorological Organisation show that the forecasts from ECMWF are generally better than the ones produced by other weather centres around the world.
ECMWF uses HPC in order to be able to deliver the forecasts and to continuously improve the forecast quality. One of the main challenges today is to use software that can run efficiently on an HPC with hundreds of thousands of processors. Both the forecast model and the processes used for assimilating observations and distributing the forecast outputs have to be made much more efficient than they are today. Therefore ECMWF has embarked on a scalability programme together with the NWP and climate modelling community in Europe. The programme is supported by a number of EU funded research projects as well as national and intergovernmental resources. Particular research topics are numerical algorithms, big data storage and distribution and improved parallelisation of software used in all stages of the forecasting system.

The talk will give an overview of the principles underlying numerical weather prediction as well as a description of the HPC related challenges that are facing the NWP and climate modelling communities today.

Bio: Erland Källén obtained his PhD in meteorology from Stockholm University in 1980 and since 2009 he works at ECMWF (European Centre for Medium range Weather Forecasting, Reading, UK) as Director of Research. From 1983 until 2009 he was first an associate professor and later professor in dynamic meteorology at Stockholm University. His areas of research are large scale dynamics of the atmosphere, numerical weather prediction and climate modelling. He has worked as a project leader for the European regional weather forecasting project HIRLAM and was responsible for initiating and heading the first Swedish climate modelling programme in the 1990's. As a leader of these projects he worked for the Swedish Meteorological and Hydrological Institute (SMHI) in Norrköping, Sweden. He also spent one year as Head of Research at the Danish Meteorological Institute (DMI) in Copenhagen, Denmark. During the period 2000-2006 he was Head of the Meteorology department at Stockholm University. Erland Källén is a member of the Royal Swedish Academy of Engineering Sciences and Academia Europea.

ECMWF Supercomputer Centre

Installation of ECMWF new supercomputer.

Download the full MOV version:

ECMWF Climatology Flyover

Take a flight over the climatology of temperature, westerly wind, and overturning atmospheric circulation. Plotted as a function of latitude, height, and time, this video shows you all the facets of Earth's climate over the year as measured by ECMWF.
Made with pv_atmos


Copernicus ECMWF overview

Isabella Weger, ECMWF - Supercomputers for research and weather predictions

Isabella Weger, Head of Computer Division, ECMWF (European Centre for Medium-Range Weather Forecasts) talks in depth about the use of supercomputers for research and weather predictions and covers dissemination and storage of data, systems development, and user access to records.

ECMWF Spectral Transform Test GPU porting (George Mozdzynski, ECMWF)

This presentation is the first part of GPU experiences at ECMWF so far. It shows how to port relative small, but important part of the IFS spectral model to use GPUs
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?



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