European intergovernmental weather computation organisation based in the UK
The
European Centre for Medium-Range Weather Forecasts
(
ECMWF
) is an independent
intergovernmental organisation
supported by most of the nations of Europe. It is based at three sites:
Shinfield Park
,
Reading
,
United Kingdom
;
Bologna
, Italy; and
Bonn
, Germany. It operates one of the largest supercomputer complexes in Europe and the world's largest archive of numerical weather prediction data.
[1]
History
[
edit
]
![](//upload.wikimedia.org/wikipedia/commons/thumb/6/62/European_forecasting.svg/250px-European_forecasting.svg.png)
members as of 2015
co-operation agreement
ECMWF was established in 1975, in recognition of the need to pool the scientific and technical resources of Europe's meteorological services and institutions for the production of weather forecasts for medium-range timescales (up to approximately two weeks) and of the economic and social benefits expected from it. The Centre employs about 350 staff, mostly appointed from across the member states and co-operating states.
[1]
Aerial view of the data centre in Bologna, Italy.
In 2017, the centre's member states accepted an offer from the Italian Government to move ECMWF's data centre to
Bologna
, Italy.
[2]
The new site, a former tobacco factory, would be redesigned by the architecture firm
gmp
.
During 2020, the Centre arranged to move its Copernicus operations away from Reading and into European Union territory.
[3]
Following bids from Toulouse,
[3]
Italy,
[4]
Austria,
[5]
Germany,
[6]
Spain
[7]
and Ireland,
[8]
eventually
Bonn
(Germany) was chosen.
[9]
The move has been directly attributed to
Brexit
.
[9]
[10]
In August 2023, the centre partnered with
Huawei
on its cloud, AI-powered
Pangu
-Weather model for 10-day global weather prediction accuracies.
[11]
Objectives
[
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]
ECMWF aims to provide accurate medium-range global weather forecasts out to 15 days and seasonal forecasts out to 12 months.
[12]
Its products are provided to the national weather services of its member states and co-operating states as a complement to their national short-range and climatological activities, and those national states use ECMWF's products for their own national duties, in particular to give early warning of potentially damaging severe weather.
ECMWF's core mission is to:
[13]
- Produce numerical weather forecasts and monitor planetary systems that influence weather
- Carry out scientific and technical research to improve forecast skill
- Maintain an archive of meteorological data
To deliver this core mission, the Centre provides:
- Twice-daily global numerical weather forecasts
- Air quality analysis
- Atmospheric composition monitoring
- Climate monitoring
- Ocean circulation analysis
- Hydrological prediction
The Centre develops and operates global
atmospheric models
and
data assimilation
systems for the dynamics, thermodynamics and composition of the Earth's atmosphere and for interacting parts of the Earth-system. It uses
numerical weather prediction
methods to prepare forecasts and their initial conditions, and it contributes to monitoring the relevant parts of the Earth system.
Work and projects
[
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]
Forecasting
[
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]
Numerical weather prediction
(NWP) requires input of meteorological data, collected by satellites and
earth observation
systems such as
automatic
and crewed
weather stations
, aircraft (including commercial flights
[14]
), ships and
weather balloons
.
Assimilation of this data
is used to produce an initial state of a computer model of the atmosphere, from which an
atmospheric model
is used to forecast the weather. These forecasts are typically:
- medium-range forecasts, predicting the weather up to 15 days ahead
- monthly forecasts, predicting the weather on a weekly basis 30 days ahead
- seasonal forecasts up to 12 months ahead.
Over the past three decades ECMWF's wide-ranging programme of research has played a major role in developing such assimilation and modelling systems. This improves the accuracy and reliability of
weather forecasting
by about a day per decade, so that a seven-day forecast now (2015) is as accurate as a three-day forecast was four decades ago (1975).
[15]
Monthly and seasonal forecasts
[
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]
ECMWF's monthly and seasonal forecasts provide early predictions of events such as
heat waves
, cold spells and droughts, as well as their impacts on sectors such as agriculture, energy and health. Since ECMWF runs a wave model, there are also predictions of coastal waves and storm surges in European waters which can be used to provide warnings.
Early warning of severe weather events
[
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]
Forecasts of severe weather events allow appropriate mitigating action to be taken and contingency plans to be put into place by the authorities and the public. The increased time gained by issuing accurate warnings can save lives, for instance by evacuating people from a
storm surge
area. Authorities and businesses can plan to maintain services around threats such as high winds, floods or snow.
In October 2012 the ECMWF model suggested seven days in advance that
Hurricane Sandy
was likely to make landfall on the
East Coast of the United States
.
[16]
It also predicted the intensity and track of the
November 2012 nor'easter
, which impacted the east coast a week after Sandy.
[17]
ECMWF's Extreme Forecast Index (EFI) was developed as a tool to identify where the EPS (Ensemble Prediction System) forecast distribution differs substantially from that of the model climate
[
clarification needed
]
. It contains information regarding variability of weather parameters, in location and time and can highlight an abnormality of a weather situation without having to define specific space- and time-dependent thresholds.
Satellite data
[
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]
ECMWF, through its partnerships with EUMETSAT, ESA, the EU and others, exploits satellite data for operational numerical weather prediction and operational seasonal forecasting with coupled atmosphere?ocean?land models. The increasing amount of satellite data and the development of more sophisticated ways of extracting information from that data have made a major contribution to improving the accuracy and utility of NWP forecasts.
[
citation needed
]
ECMWF continuously endeavours to improve the use of satellite observations for NWP.
Reanalysis
[
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]
ECMWF supports research on climate variability using an approach known as
reanalysis
. This involves feeding weather observations collected over decades into a NWP system to recreate past atmospheric, sea- and land-surface conditions over specific time periods to obtain a clearer picture of how the climate has changed. Reanalysis provides a four-dimensional picture of the atmosphere and effectively allows monitoring of the variability and change of global climate, thereby contributing also to the understanding and attribution of climate change.
To date, and with support from Europe's National Meteorological Services and the European Commission, ECMWF has conducted several major reanalyses of the global atmosphere: the first
ECMWF re-analysis
(ERA-15) project generated reanalyses from December 1978 to February 1994; the
ERA-40
project generated reanalyses from September 1957 to August 2002. The ERA-Interim reanalysis
[18]
covered the period from 1979 onwards. A reanalysis product (ERA5)
[19]
with higher spatial resolution (31 km) was released by ECMWF in 2019 as part of the
Copernicus Climate Change Service
.
[20]
Operational forecast model
[
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]
ECMWF's operational forecasts are produced from its "
Integrated Forecast System
" (sometimes informally known in the United States as the "European model") which is run every twelve hours and forecasts out to ten days.
It includes both a "deterministic forecast" mode and an
ensemble
. The deterministic forecast is a single model run that is relatively high in resolution as well as in computational expense. The ensemble is relatively low (about half that of the deterministic) in resolution (and in computational expense), so less accurate. But it is run 51 times in parallel, from slightly different initial conditions to give a spread of likelihood over the range of the forecast.
[21]
As of 2021, the ECMWF's weather model is generally considered to be the most accurate weather forecasting model.
[22]
Copernicus
[
edit
]
The centre currently serves as the Entrusted Entity responsible for delivery of two of the Services of the EU's
Copernicus Programme
. The two services are the
Copernicus Atmosphere Monitoring Service
(CAMS)
[23]
and the
Copernicus Climate Change Service
(C3S).
[24]
The Centre arranged to move its Copernicus operations away from Reading and into
Bonn
(Germany).
[3]
[9]
The move has been directly attributed to
Brexit
.
[9]
[10]
Member and co-operating states
[
edit
]
ECMWF comprises 23 European countries:
- the eighteen founding states of 1975:
Austria
,
Belgium
,
Denmark
,
Finland
,
France
,
Germany
,
Greece
,
Republic of Ireland
,
Italy
,
Luxembourg
,
Netherlands
,
Norway
,
Portugal
,
Spain
,
Sweden
,
Switzerland
,
Turkey
,
United Kingdom
.
- five states that joined since 2010:
Iceland
(April 2011),
[25]
Slovenia
(December 2012),
[26]
Serbia
(January 2015),
[27]
Croatia
(January 2016),
[28]
Estonia
(December 2020).
[29]
It also has co-operation agreements with other states:
Bulgaria
,
Czech Republic
,
Georgia
,
Hungary
,
Israel
,
Latvia
,
Lithuania
,
North Macedonia
,
Montenegro
,
Morocco
,
Romania
and
Slovakia
.
Co-operating agreements
[32]
|
Year of joining
|
WMO
|
1 November 1975
|
EUMETSAT
|
18 May 1988
|
ACMAD
|
11 May 1995
|
ALADIN/
HIRLAM
- Use of
IFS
/Arpege
|
19 February 1999
|
JRC
|
6 May 2003
|
CTBTO
|
24 June 2003
|
CLRTAP
|
26 January 2005
|
ESA
|
31 May 2005
|
Memorandum of Understanding for Joint Liaison Office with European institutions in Brussels
|
23 April 2010
|
RIMES
|
8 February 2012
|
CMA
|
21 January 2014
|
US NWS
|
23 January 2015 - amended 30 January 2018
|
US NCAR
|
31 August 2016
|
INPE Brazil
|
31 August 2017
|
See also
[
edit
]
References
[
edit
]
- ^
a
b
"Who we are"
. ECMWF. 28 November 2013
. Retrieved
1 January
2016
.
- ^
"Press kit: Bologna to host ECMWF's new data centre"
. 3 March 2017.
- ^
a
b
c
"France Applies to Host Top Weather Forecaster Now Based in U.K."
Bloomberg. 30 May 2020.
- ^
"Tecnopolo di Bologna. Il Governo autorizza la spesa di 40 milioni nel prossimo triennio, di cui 10 milioni nel 2020"
. CONFERENZA DELLE REGIONI E DELLE PROVINCE AUTONOME. 20 May 2020
. Retrieved
18 June
2020
.
- ^
"Regierung will Klimawandel-Uberwachungsdienst nach Osterreich holen"
. Die Presse. 20 May 2020
. Retrieved
18 June
2020
.
- ^
"SO WILL BONN EUROPAISCHES WETTER-ZENTRUM WERDEN!"
. TAG24. 16 June 2020
. Retrieved
18 June
2020
.
- ^
"Espana postulara a Barcelona como sede del Centro Europeo de Predicciones Meteorologicas a Plazo Medio"
. europa press. 29 May 2020
. Retrieved
18 June
2020
.
- ^
"Govt to bid for relocation of EU forecaster from UK to Ireland"
. Radio Telefis Eireann. 23 September 2020
. Retrieved
24 September
2020
.
- ^
a
b
c
d
"
"European weather authority relocates to Bonn"
"
. City of Bonn. 9 December 2020. Archived from
the original
on 16 December 2020
. Retrieved
9 December
2020
.
- ^
a
b
"European Center for Weather Forecasting: France selects Toulouse candidate"
. en24 news. 30 May 2020
. Retrieved
1 June
2020
.
- ^
SYMONDS, DAN.
"Huawei Cloud launches AI-powered Pangu-Weather model"
.
Meteorological Technology International
. Meteorological Technology International
. Retrieved
13 February
2024
.
- ^
Deutscher Wetterdienst.
"ECMWF - European Centre for Medium-Range Weather Forecasts"
. Berlin, Germany: Federal Ministry of Transport and Digital Infrastructure
. Retrieved
29 April
2014
.
Established in 1975, ECMWF is renowned worldwide for providing the most accurate medium-range global weather forecasts up to 10 days ahead, monthly forecasts and seasonal outlooks to six months ahead.
- ^
ECMWF (30 December 2013),
What we do
, retrieved
11 June
2019
- ^
"COVID-19: Aeolus and weather forecasts"
.
www.esa.int
. Retrieved
30 July
2023
.
- ^
"The Forecast For Weather Technology"
. Sky News. 17 July 2015
. Retrieved
1 January
2016
.
- ^
Roulstone, Ian; Norbury, John (25 July 2013).
"How Math helped forecast Hurricane Sandy"
.
Scientific American
. Retrieved
9 August
2013
.
- ^
"Moderate-strength Nor'easter may hit Sandy-devastated areas Wednesday | Category 6™"
.
www.wunderground.com
. Archived from
the original
on 25 March 2017
. Retrieved
1 May
2017
.
- ^
Dee, D. P.; Uppala, S. M.; Simmons, A. J.; Berrisford, P.; Poli, P.; et al. (2011). "The ERA-Interim reanalysis: Configuration and performance of the data assimilation system".
Quarterly Journal of the Royal Meteorological Society
.
137
(656): 553?597.
Bibcode
:
2011QJRMS.137..553D
.
doi
:
10.1002/qj.828
.
hdl
:
20.500.11824/1106
.
- ^
Hersbach, H.; Bell, B.; Berrisford, P.; Hirahara, S.; Horanyi, A.; Munoz-Sabater, J.; et al. (2020).
"The ERA5 global reanalysis"
.
Quarterly Journal of the Royal Meteorological Society
.
146
(730): 1999?2049.
doi
:
10.1002/qj.3803
.
- ^
"New ERA5 dataset provides weather and climate details back to 1979"
. 17 January 2019.
- ^
"Modelling and Prediction"
. ECMWF. 29 November 2013
. Retrieved
2 January
2016
.
- ^
Paul Douglas (18 April 2021).
"Will a New GFS Weather Model Upgrade Close the Gap with The European Model?"
. AerisWeather
. Retrieved
14 September
2021
.
- ^
"Copernicus Atmosphere Monitoring Service"
. ECMWF. 11 November 2014
. Retrieved
23 October
2019
.
- ^
"Copernicus Climate Change Service"
. ECMWF. 11 November 2014
. Retrieved
23 October
2019
.
- ^
"MeteoWorld"
. 22 September 2015.
- ^
"Slovenia becomes ECMWF's 20th Member State"
.
ecmwf.int
. ECMWF. Archived from
the original
on 3 September 2013
. Retrieved
8 December
2012
.
- ^
Jeppesen, Joanne (5 January 2015).
"Serbia becomes ECMWF's 21st Member State"
.
ECMWF
.
- ^
Jeppesen, Joanne (1 July 2016).
"News"
.
ECMWF
.
- ^
"ECMWF welcomes Estonia as 23rd Member State"
. 1 December 2020.
- ^
"ECMWF Member States"
. ECMWF. 2017.
- ^
"ECMWF Co-operating States"
. ECMWF. 2017.
- ^
"ECMWF Co-operating Agreements"
. ECMWF. 2017.
Further reading
[
edit
]
External links
[
edit
]
- "ERA-15"
. Archived from
the original
on 11 August 2004.
- "ERA-40"
. Archived from
the original
on 11 August 2004.
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