computerruimte van het KNMI (Bron Tineke Dijkstra)

Weather & Climate Models

The department Research and Development of Weather and Climate models (RDWK) investigates and develops research tools for weather and air quality prediction applications and climate models. We work on detailed physical processes, data assimilation, long term climate projections and practical applications including storm surge forecasts and statistics of extremes. RDWK participates in a number of international projects directed towards a variety of weather and climate related research and development areas and acts as the Netherlands Focal Point to the IPCC.

RDWK is structured in 3 clusters: Mesoscale modelling develops tools for regional numerical weather prediction (NWP) and climate analyses; Large scale modelling focuses on global climate and atmospheric chemistry; Postprocessing and Analysis develops statistical analyses, applications and climate services.

RDWK consists of about 45 research professionals (including PhD and technical support staff). We have a strong international network, and most activities are executed in collaboration with partners in e.g. HIRLAM/Harmonie, EC-Earth, ECMWF and universities.

Contracts from Rijkswaterstaat, Ministry of Infrastructure and Water Management, funding organisation NWO, the European Copernicus program and European research programs provide roughly half of the annual portfolio. The other half is basic funding for servicing the weather forecast centre, climate scenarios and strategic research.

Some recent and ongoing activities and projects: development of the NWP model system Harmonie, and its tailoring to the needs of the KNMI Early Warning Centre is embedded in the HIRLAM consortium work program, and focuses on data assimilation and ensemble prediction. The KNMI’14 climate change scenarios will be followed by a new generation of generic and specific scenarios in the timeframe 2018-2020, focusing on future weather applications, urban scenarios and sea level rise. Contributions to the international EC-Earth program focuses on the development of high resolution projections and the coupling of atmospheric chemistry in the Earth System Model configuration. Observations and climate models are used to attribute causes of past climate change and extreme weather events.  The KNMI Climate Explorer is a web-based climate data browser, used by many students, researchers and practicioners worldwide. Other research topics include air quality forecasting, extreme precipitation statistics, sea level rise, and evaluation of weather alerts.

Infographic KNMI weather and climate models

News

  • the knmi wow logo

    Citizen Science Wind Observations in The Netherlands

    Early career researchers from KNMI (RDKW and the DataLab), WUR, TU Delft and UU met at KNMI last Thursday to discuss citizen science wind observations in The Netherlands
  • A photo of wind damage that caused a tree to fall over

    Estimating wind gusts during severe wind conditions

    Extreme windstorms are the most important natural hazards affecting Europe. Losses are not primarily caused by the sustained wind speed but by the gusts, i.e., the maxima of the wind speed during a few seconds.
  • group photo

    Statistical Post-Processing workshop - TU Delft 2019

    Researchers from KNMI, TU Delft, WUR, VU, and UU came together on Thursday 7 November at the Delft Institute of Applied Mathematics at TU Delft, hosted by Prof. dr. ir. Geurt Jongbloed, who also attended the workshop. They discussed the state of statistical post-processing research in The Netherlands. The researchers all work in close collaboration with KNMI to improve weather forecasts at a variety of scales. These collaborations between a government research organisation and universities that have different research focuses, from statistical to domain knowledge, are valuable as they allow the contribution from different perspectives to a common research question.
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Projects

  • IMPRINT

    Improvement of sub-seasonal probabilistic forecasts of European high-impact weather events using machine learning techniques
  • CRIME

    Cloud Representation, IMprovement and Evaluation in the HARMONIE model
  • HARATU

    An improved turbulence scheme for Harmonie-Arome
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Publications

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