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Royal Netherlands Meteorological Institute
Royal Netherlands Meteorological Institute
Published: 2015/12/30
Channel: WikiAudio
MSG data in use - The Netherlands
MSG data in use - The Netherlands
Published: 2012/06/29
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Published: 2012/04/19
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Potential Wind Speed and Direction in NL
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Deadly storm batter netherland shocking footage
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Dutch enjoy last day of heatwave
Published: 2016/11/16
Channel: AP Archive
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euronews futuris - The Cloudbusters
Published: 2011/03/10
Channel: euronews (in English)
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Richard Bintanja
Published: 2015/09/06
Channel: maartenloonen
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GLOBE aerosols
Published: 2012/09/09
Channel: GLOBENederland
12 Years of OMI Data for the Netherlands
12 Years of OMI Data for the Netherlands
Published: 2018/01/15
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People flock to the beach as parts of Netherlands enjoy high temperatures
Published: 2018/04/23
Channel: AP Archive
GLOBE Netherlands address for Earth Day
GLOBE Netherlands address for Earth Day
Published: 2015/04/22
Channel: The GLOBE Implementation Office
Earth from Space: Special edition
Earth from Space: Special edition
Published: 2017/09/19
Channel: European Space Agency, ESA
Modelling storm surges (Part 2 of 2) - wind inputs - Dr. Ad Stoffelen (KNMI)
Modelling storm surges (Part 2 of 2) - wind inputs - Dr. Ad Stoffelen (KNMI)
Published: 2014/06/27
Channel: CMRC UCC
Why does climate change make extreme rainfall more likely?
Why does climate change make extreme rainfall more likely?
Published: 2017/12/19
Channel: Carbon Brief
Earth from Space: Special edition
Earth from Space: Special edition
Published: 2014/02/11
Channel: European Space Agency, ESA
Answers for Academic Agent #AcademicAgentFearsTheHolocene
Answers for Academic Agent #AcademicAgentFearsTheHolocene
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Channel: Drallasta
Snowstorm in Rotterdam 11.12.2017.
Snowstorm in Rotterdam 11.12.2017.
Published: 2017/12/11
Channel: Interesting
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EU-PEGASOS Zeppelin,seen from KNMI Cabauw tower
Published: 2012/05/23
Channel: EUPEGASOS
Modelling storm surges (Part 1 of 2) - Dr. Ad Stoffelen (KNMI)
Modelling storm surges (Part 1 of 2) - Dr. Ad Stoffelen (KNMI)
Published: 2014/06/24
Channel: CMRC UCC
Precipitation Radar in Kabelkrantadmin
Precipitation Radar in Kabelkrantadmin
Published: 2012/04/27
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KNMI Welcome
Published: 2012/07/30
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Temperature between Januari and March 2010
Temperature between Januari and March 2010
Published: 2010/03/07
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EUMeTrain Weather Briefing - September 2017
EUMeTrain Weather Briefing - September 2017
Published: 2018/01/10
Channel: EUMe Train
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How likely was Hurricane Harvey?
Published: 2017/12/19
Channel: Carbon Brief
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Sentinel5P - Atmospheric Monitoring Mission
Published: 2017/10/20
Channel: Luis Sadeck
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Published: 2014/03/10
Channel: Ibcommotion.com
The 4th GEMS Tutorial Lecture: Pieternel Levelt
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Published: 2018/03/03
Channel: GEMS Yonsei Univ.
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Published: 2015/10/29
Channel: Fedor Baart
Correlation Calculation
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Published: 2013/08/21
Channel: UCLGeography
mikupthoklasi by KMNI
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Published: 2018/03/11
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Dragons Den 2016 at KNMI Netherlands
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Published: 2017/04/05
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Illustration temperature 100y KNMI
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Climateurope Webinar Series - n. 01
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Published: 2016/11/15
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Published: 2018/02/19
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Published: 2017/12/14
Channel: American Geophysical Union (AGU)
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WIKIPEDIA ARTICLE

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Royal Netherlands Meteorological Institute
Dutch: Koninklijk Nederlands Meteorologisch Instituut
FS IMG 8907 KNMI.jpg
KNMI headquarters in De Bilt
Agency overview
Formed 31 January 1854 (1854-01-31)
Headquarters De Bilt, Netherlands
Deputy Minister responsible
Parent department Ministry of Infrastructure and the Environment
Website www.knmi.nl

The Royal Netherlands Meteorological Institute (Dutch: Koninklijk Nederlands Meteorologisch Instituut or KNMI, pronounced [ˈkoːnɪŋklək ˈneːdərˌlɑnts ˌmeteoroˈloːɣis ˌɪnstiˈtyt]) is the Dutch national weather forecasting service, which has its headquarters in De Bilt, in the province of Utrecht, Netherlands.

The primary tasks of KNMI are weather forecasting, monitoring of climate changes and monitoring seismic activity. KNMI is also the national research and information centre for climate, climate change and seismology.

Research at KNMI[edit]

Applied research at KNMI is focused on three areas:[1]

  • Research aimed at improving the quality, usefulness and accessibility of meteorological and oceanographical data in support of operational weather forecasting and other applications of such data.
  • Climate-related research on oceanography; atmospheric boundary layer processes, clouds and radiation; the chemical composition of the atmosphere (e.g. ozone); climate variability research; the analysis of climate, climate variability and climatic change; modelling support and policy support to the Dutch Government with respect to climate and climatic change.
  • Seismological research as well as monitoring of seismic activity (earthquakes).

KNMI's development of atmospheric dispersion models[edit]

KNMI's applied research also encompasses the development and operational use of atmospheric dispersion models.[2][3]

Whenever a disaster occurs within Europe which causes the emission of toxic gases or radioactive material into the atmosphere, it is of utmost importance to quickly determine where the atmospheric plume of toxic material is being transported by the prevailing winds and other meteorological factors. At such times, KNMI activates a special calamity service. For this purpose, a group of seven meteorologists is constantly on call day or night. KNMI's role in supplying information during emergencies is included in municipal and provincial disaster management plans. Civil services, fire departments and the police can be provided with weather and other relevant information directly by the meteorologist on duty, through dedicated telephone connections.

KNMI has available two atmospheric dispersion models for use by their calamity service:

  • PUFF - In cooperation with the Netherlands National Institute for Public Health and the Environment (Dutch: Rijksinstituut voor Volksgezondheid en Milieuhygiene or simply RIVM), KNMI has developed the dispersion model PUFF. It has been designed to calculate the dispersion of air pollution on European scales. The model was originally tested by using measurements of the dispersion of radioactivity caused by the accident in the nuclear power plant of Chernobyl in 1986. A few years later, in 1994, a dedicated dispersion experiment called ETEX (European Tracer EXperiment) was carried out, which also provided useful data for further testing of PUFF.
  • CALM - CALM is a CALamity Model designed for the calculation of air pollution dispersion on small spatial scales, within the Netherlands. The algorithms and parameters contained in the CALM model are practically identical to that of the PUFF model. However, the meteorological input can only be supplied manually in CALM. The user provides both observed and predicted values for wind velocity at the 10 meter height level, the atmospheric stability classification and the mixing height. After the model calculations have been performed, a map is created and displayed with the derived trajectories of the pollution plume and an indication of how and where the cloud will disperse.

See also[edit]

References[edit]

  1. ^ KNMI Research Programme, 2003-2007 Archived 2006-09-28 at the Wayback Machine.
  2. ^ Turner, D.B. (1994). Workbook of atmospheric dispersion estimates: an introduction to dispersion modeling (2nd ed.). CRC Press. ISBN 1-56670-023-X.  www.crcpress.com Archived 2007-11-05 at the Wayback Machine.
  3. ^ Beychok, Milton R. (2005). Fundamentals Of Stack Gas Dispersion (4th ed.). author-published. ISBN 0-9644588-0-2.  www.air-dispersion.com

Coordinates: 52°06′05″N 5°10′42″E / 52.10139°N 5.17833°E / 52.10139; 5.17833

External links[edit]

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