
Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut
Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut
16 Projects, page 1 of 4
assignment_turned_in ProjectFrom 2025Partners:Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM), HU, Solid Sustainability Research, Inquiro, Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS) +5 partnersVrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM),HU,Solid Sustainability Research,Inquiro,Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS),Lynn Vanheule Advies,Wageningen University & Research, Afdeling Omgevingswetenschappen, Leerstoelgroep Culturele Geografie,Studio Alsjeblieft,DDN Media,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch InstituutFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: KIN.1930.1.011It is crucial to overcome structural and strategic counterforces that hinder effective climate policy and system transitions. The KIN working group "Which opposing forces hinder the climate transition?" brings together misinformation experts, climate obstruction researchers, policymakers, NGOs, creative professionals, journalists, and other relevant actors to develop projects that address specific forms of climate obstruction. Our initial activities include organizing training sessions for journalists and a briefing for Members of Parliament, with a specific focus on climate misinformation. How do you recognize misinformation, and how can you ensure that you do not unintentionally spread or amplify misinformation?
more_vert assignment_turned_in Project2017 - 2023Partners:VU, Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM), Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM), Department of Water and Climate Risk, Ministerie van Infrastructuur en Waterstaat, Universität Potsdam, Institute for Climate Impact Research, Department of Earth System Analyses +2 partnersVU,Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM),Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM), Department of Water and Climate Risk,Ministerie van Infrastructuur en Waterstaat,Universität Potsdam, Institute for Climate Impact Research, Department of Earth System Analyses,Universität Potsdam,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch InstituutFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 016.Vidi.171.011Extreme heat waves and heavy rainfall are increasing in intensity on a global scale, trends which will continue with future global warming. Summer, with most biological and agricultural production, is probably the season when changes in extremes will have the most-severe impacts on humanity. Summer extremes are particularly devastating when they persist for several days: Many consecutive hot-and-dry days causing harvest failure, or stagnating wet extremes causing flooding. Despite this importance, persistence of extreme summer weather has largely been neglected by the climate science community. What maintains stagnating summer weather? Do climate models capture persistence and the underlying processes accurately? What is the role of global warming? Persistence is linked to sea-surface temperature, soil moisture and atmospheric circulation which are expected to change with future warming but the uncertainties are large. The proposed research fills this knowledge gap. I will study mid-latitude summer circulation and its influence on weather persistence focusing on the most high-impact, persistent summer extremes. The project innovatively combines novel methods from disciplines which historically evolved largely independently: (1) Machine learning guided by physical theory and (2) climate modeling experiments using state-of-the-art global Numerical Weather Prediction models. I will quantify persistence of summer extremes and their local and remote drivers in past, present and future climates, focusing on Western Europe and eastern U.S., i.e. two major population centers critical for global food production. In recent publications, I have reported a pronounced weakening of boreal summer circulation since 1979 and hypothesized that this leads to more-persistent, and therefore more-extreme, summer weather conditions. This overarching hypothesis will be tested, using the described methods, in observations and modeled data at different warming levels. This work will reduce societal risks from future summer extremes by improving existing forecasts and developing novel early warning systems based upon optimal empirical prediction methods.
more_vert assignment_turned_in ProjectFrom 2023Partners:TNO Delft, Bouw en Ondergrond, Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Engineering, Applied Geophysics & Petrophysics, Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Structurele en Toegepaste Geologie, Universiteit Utrecht +6 partnersTNO Delft, Bouw en Ondergrond,Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Engineering, Applied Geophysics & Petrophysics,Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen,Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Structurele en Toegepaste Geologie,Universiteit Utrecht,Ministerie van Infrastructuur en Waterstaat,TNO Delft,Technische Universiteit Delft,Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Hydrogeologie,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut,Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & EngineeringFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 184.036.007Increased use of the subsurface, for example for geothermal energy production or subsurface storage, is crucial for achieving the (inter)national goals for greenhouse gas emissions. EPOS-eNLarge creates the research capabilities for the scientific breakthroughs urgently needed for efficient and safe use of our subsurface. For this, EPOS-eNLarge provides the missing link needed to apply our understanding of micro-processes in the subsurface at the kilometer-scale where subsurface operations (and the effects of these) take place. EPOS-eNLarge further ensures that unique research data of the Dutch subsurface is made openly, and centrally accessible for future re-use, alongside other European data.
more_vert assignment_turned_in Project2021 - 9999Partners:HvA, Den Hartogh Liquid Logistics B.V., Leiden University, Universiteit van Amsterdam, TNO Utrecht, Bodem en Grondwater / Kustgebied en Zee +31 partnersHvA,Den Hartogh Liquid Logistics B.V.,Leiden University,Universiteit van Amsterdam,TNO Utrecht, Bodem en Grondwater / Kustgebied en Zee,Radboud Universiteit Nijmegen,Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Natuurkunde,Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Natuurkunde, Subatomic Fysics (SAP),Technische Universiteit Delft, Faculteit Technische Natuurwetenschappen, TNO-TPD,Radboud Universiteit Nijmegen,Universiteit Utrecht,Maastricht University,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Subfaculteit Natuurkunde, Sterrenkunde,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica,TNO Utrecht,Maastricht University, Faculty of Science and Engineering, Aachen-Maastricht Institute for Biobased Materials (AMIBM),Universiteit Utrecht,Universiteit Twente,VU,Universiteit van Amsterdam,NWO-institutenorganisatie, Nikhef - Nationaal instituut voor subatomaire fysica,Technische Universiteit Delft,Vrije Universiteit Amsterdam,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Mathematics, Astrophysics and Particle Physics (IMAPP), Astrophysics,Universiteit Twente,Den Hartogh Liquid Logistics B.V.,Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en Informatica (Faculty of Science), Anton Pannekoek Instituut voor Sterrenkunde,Ministerie van Infrastructuur en Waterstaat,Maastricht University, Faculty of Science and Engineering,Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en Informatica (Faculty of Science), Theoretische Natuurkunde,NWO-institutenorganisatie, SRON - Netherlands Institute for Space Research,Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en Informatica (Faculty of Science), Gravitation and Astroparticle Physics Amsterdam (GRAPPA),Technische Universiteit Delft,NWO-institutenorganisatie,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Mathematics, Astrophysics and Particle Physics (IMAPP), High Energy PhysicsFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1292.19.202The DBHC is a group of 30+ scientists with an interdisciplinary research program on black holes. In our project we develop new technologies to observe black holes with telescopes - both above ground (Event Horizon Telescope) and underground (Einstein Telescope). In order to determine the correct location for the Einstein Telescope, we simultaneously study the geology of the Limburger soil. Above all, we try to answer deep theoretical and astronomical questions about space and time! There will also be a public app, which anyone can use to hunt for black holes, and an educational project for students. Read more: www.dbhc.nl
more_vert assignment_turned_in Project2017 - 2022Partners:Stichting Wageningen Research, Wageningen Environmental Research (WENR), Environmental Sciences Group, Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut, Wageningen University & Research, Afdeling Omgevingswetenschappen, Waterhuishouding, Hydrologie & Kwantitatief Waterbeheer (HWM), Stichting Wageningen Research, Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM) +5 partnersStichting Wageningen Research, Wageningen Environmental Research (WENR), Environmental Sciences Group,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut,Wageningen University & Research, Afdeling Omgevingswetenschappen, Waterhuishouding, Hydrologie & Kwantitatief Waterbeheer (HWM),Stichting Wageningen Research,Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Instituut voor Milieuvraagstukken (IVM),Wageningen University & Research,Ministerie van Infrastructuur en Waterstaat,Wageningen University & Research,VU,Ministerie van Infrastructuur en Waterstaat, Koninklijk Nederlands Meteorologisch Instituut, Klimaatonderzoek en SeismologieFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: ALWTW.2016.049Water management in a densely populated area with a strong interplay between meteorological, hydrological and socio-economic drivers is a complex topic. In order to guarantee the supply of water, and to avoid drought and flood damage an efficient system of weather forecasting, impact assessment and hydrological engineering is required. Even in a well-developed country as The Netherlands the current operational systems still lack skill and appropriate interconnectivity to ensure efficient water management at various time and spatial scales. Apart from precipitation, uncertainty in surface evaporation forms a strong bottleneck for water management at local, regional and national scale. The proposed research focuses on enhancing the added value of available observations and medium- to seasonal range weather forecasts of particularly evaporation and related quantities (soil moisture, ground water, streamflow, lake levels). It will develop an upgraded monitoring and forecasting system for surface evaporation, using a scientific methodology to reduce existing gaps between different modelling and observational approaches. The system will be demonstrated in a case study area that is governed by the complex interactions determining water supply and demand.
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