The main aim of the TiPES project at IVM is to quantify tipping points, early warning signals and (compound) meteorological extremes over the Mediterranean basin. In addition, physical mechanisms driving such changes will be explored, by providing insights into both thermodynamic (e.g. temperature increase) and dynamic (e.g. changes in weather patterns, Hadley-cell expansion, northward shift of storm tracks) processes.
The project LAMACLIMA – LAnd MAnagement for CLImate Mitigation and Adaptation – investigates how changes in land cover and land management can help to meet the mitigation and adaptation objectives of the Paris Agreement, as well as the Sustainable Development Goals. The findings will be disseminated through a number of tools, events and products. By closely involving stakeholders and policy-makers, we aim to support sustainable land use decision-making. We will quantify the impacts of large-scale land management (e.g global reforestation, deforestation, irrigation and wood harvest) on climate, agriculture, biodiversity and economic productivity. At IVM we focus on the changes on the large-scale atmospheric circulation using state of the art global climate models. We will explore the impacts of land management on both climatic mean states and extremes and teleconnections patterns that might affect geographically distant key regions including the world’s breadbaskets.
For more information please contact the following websites: https://climateanalytics.org/projects/lamaclima/ and http://www.jpi-climate.eu/AXIS/Activities/LAMACLIMA
We study sea levels and sea level extremes during warm climates: in the Last Interglacial (125,000 years ago) and in the future. We want to exploit the knowledge of the past to understand what the future can bring, in terms of changes in relative sea level, storm surges and tides.
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 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.
Each year Europe is subject to drought, heatwaves and periods of persistent rainfall that could lead to the flooding of rivers. Although short-range weather forecasts have improved substantially over the last decennia, long-range weather forecasts have improved less. The goal of this project is to improve these long-term probabilistic forecasts of extreme weather. Warnings can then be given earlier and more reliably. Long meteorological datasets and newly developed statistical post-processing methods enable us to better integrate the relevant information, and correct shortcomings of operational ensemble prediction systems.
For more information, please visit the following websites: https://www.knmi.nl/research/weather-climate-models and https://www.ecmwf.int/en/forecasts/documentation-and-support/extended-range-forecasts/justification-ENS-extended
van Straaten, C., Whan, K., Coumou, D., van den Hurk, B., Schmeits, M. (2020). The influence of aggregation and statistical post-processing on the sub-seasonal predictability of European temperatures. Quarterly Journal of the Royal Meteorological Society (under review).
In an interconnected world, Europe’s economy will be increasingly affected by climate change impacts that occur beyond its border. The movement of goods and services, people and capital occurs at ever increasing rates and volumes. This complex network reveals Europe’s globalized climate exposure, vulnerability and risk structure, through which both gradual and sudden impacts of climatic features at any location on the world (hurricanes, droughts, melting ice sheets) propagate, ultimately impacting Europe’s socio-economic welfare.
This is the first focus dedicated to global hydroclimate, hydrology and flooding of the Last Interglacial period, a past climate with partial analogy to possible warmer futures. For this period, we use models and geological proxies to study its patterns of precipitation, (peak) river discharge, and flooding. This serves both to test the performance of climate models and to offer an global picture of hydroclimate and hydrology in a regionally warmer world.
This study was conducted in collaboration with Earth and Climate Cluster, Faculty of Science, Vrije Universiteit Amsterdam.
For more information, please visit the site https://www.researchgate.net/project/Last-Interglacial-Floods
Global water (scarcity) and climate risk
STORM (Synthetic Tropical cyclone generation Model) is designed to statistically extend any meteorological dataset to 10,000 years of tropical cyclone activity under the same climate conditions.
Coastal flooding due to tropical cyclones causes damages up to hundreds of billions of euros per event. The aim of the MOdelling Sea level And Inundation for Cyclones (MOSAIC) project is developing and validating a computationally efficient, scalable, framework for large-scale flood risk assessment.
We will simulate extreme sea levels for thousands of synthetic tropical cyclones – using goal programming as a tool to reduce the computational costs and combine multiple tropical cyclones into one simulation. We will simulate flood inundation at high resolution by nesting local models within a global model – by coupling our models with the OMUSE software which allows for a multi-scale modelling approach. The novel framework is an important step towards improved global assessments of flood risk.
This study was conducted in collaboration with Netherlands eScience Center and Deltares.
For more information, please visit the site https://www.research-software.nl/software/omuse
Flooding in deltas and estuaries is driven by the interactions of oceanographic, hydrological, and meteorological phenomena such as extreme rainfall, river discharge, storm surge, and wave action. When these co-occur in space and time, they can exacerbate the flood extent, depth, and duration locally, resulting in a so-called compound flood event.
The project's goal is to develop new methodologies to monitor our oceans’ health on a global scale. Satellite sensors such as NASA’s SeaWiFs and MERIS and the more recent OLCI sensor onboard ESA’s Sentinel-3 satellite have opened up the possibility to get a birds-eye view of our oceans and track changes over decadal scales. The research revolves around the development of new methods to invert multi- and hyperspectral data that is acquired by ocean colour satellites. With our new inversion scheme, we are able to estimate water quality parameters such as the concentration of different phytoplankton groups, dissolved and particulate matter in the world’s oceans. In this manner we hope to get a better understanding of the biological and chemical evolution of our oceans.
This study was conducted in collaboration with the University of Amsterdam.
For more information visit the site gitlab.com/tadzio/
Gonzalez-Rivero, M. et al. (2016). Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis. Remote Sensing, 8(1), 30. https://doi.org/10.3390/rs8010030
Image above: © contains modified Copernicus Sentinel data (2019), processed by ESA, CC BY-SA 3.0 IGO
The Global Flood Monitor provides a real-time overview of ongoing flood events as well as historic flood events based on Twitter data. Specifically, the global flood monitor (GFM) detects, in real-time, regions with enhanced flood-related Twitter activity and classifies these as flood events. Then, it generates a world-map visualizing these events and their relevant tweets. The platform also provides access to historical events dating back to July 2014.
Contact information: Jens de Bruijn
For more information please visit the following site: www.globalfloodmonitor.org
de Bruijn, J.A., de Moel, H., Jongman, B. et al. (2018). TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response. Journal of Geovisualization and Spatial Analysis, 2, 2. https://doi.org/10.1007/s41651-017-0010-6
In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while recovery is still under way. The risk of consecutive disasters will increase due to growing exposure, the interconnectedness of human society and the increased frequency and intensity of non-tectonic hazard. While a large body of literature addresses multi-risk based on the spatial overlap between the exposure of different hazard types faced by one particular area, the temporal aspect of sequential hazards has been studied to a much lesser extent.
While wildfires in the Netherlands do not compare to the disruptive events in Australia, they do pose an increasing risk to nature and society due to an increased risk of droughts. This was illustrated in 2018, one of the driest years since 1976, which showed a threefold increase of forest fire alarms compared to an average year.
In this project we assess: (1) the linkages between drought risk and wildfire risk in the Netherlands and (2) the socio-economic impacts of wildfires in the Netherlands.
This study was conducted in collaboration with VU Earth Sciences, Instituut Fysieke Veiligheid and Vandersat.
In 2018, as part of the ‘Building Disaster Resilience to Natural Hazards in Sub-Saharan African Regions, Countries and Communities’ Programme funded by the European Union, the National Disaster Management Authority, UNDRR and the CIMA Research Foundation, in collaboration with WUR and VU-IVM, have developed risk profiles for floods and droughts at national level for sixteen African countries. The Country Risk Profiles provide a comprehensive view of hazard, risk and uncertainties for floods and droughts in a changing climate and socio-economic situation, projected over the next 50 years. The profiles include an estimation – under current and future climate – of the monetary losses for a number of sectors identified by the Sendai targets, namely: housing, health and education, agriculture, productive asset, critical infrastructure, housing, services and transports.
In this project we aim, together with partners at KNMI, CGI and Reading University, at developing a near real-time operational system to estimate losses from storm systems hitting Europe. Funded by the European Center for Medium Range Weather Forecast (ECMWF), this project develops new climate services for the insurance and energy sector in Europe. It will become part of the Copernicus Climate Change Service implemented by ECMWF.
First, for individual storms the near-surface wind speed footprint is calculated (i.e. the Hazard). The infrastructure's exposure, based on OpenStreetMap, and vulnerability then, together with the storm's footprint determine the total estimated losses.
For more information, please visit the site https://climate.copernicus.eu/
Within the EIT Climate-KIC programme ‘One Million near-zero energy homes in 2023’ the Institute for Enviromental Studies cooperates with Achmea (one of the largest insurers in the Netherlands) and the KNMI (Royal Netherlands Meteorological Institute) to investigate hail risks.
Extreme hailstorms are associated with very warm (convective) weather conditions and can cause a lot of damage in very little time. In fact, the largest ever insured disaster in the Netherlands is a recent hailstorm (July 2016 in the province of Brabant) which costed about €600 million, and in Germany five large hailstorm resulted in €2500 million damage in 2013.
Risk Management and Adaptation
Food production in Kenya depends heavily on smallholder rain-fed agriculture; but farm households are challenged to match the erratic rainfall with crop water requirements. Increasing climate variability and changing socio-economic conditions are exacerbating the frequency and intensity of droughts and aggravate local food insecurity. Integrated water resources management and risk-informed disaster risk reduction strategies are key to ensure sustainable development in this country.
We study the effect of sea level rise until 2100 and its effect on global coastal flood risk. Through coupling and an agent-based model to a global flood risk model, we can simulate projections in flood risk due to SLR and socio-economic trends.
Connect4WR explores the links between water resources and communities in four countries of the Limpopo Basin in southern Africa – Botswana, Mozambique, South Africa and Zimbabwe. The Limpopo basin is an arid, water-stressed basin, which is also highly susceptible to floods. Intermittent floods and droughts worsen water availability and quality problems, and both types of events are predicted to increase in frequency and magnitude with global climate change.
The project includes:
- a comprehensive assessment of climate adaptation model and tool methods, including recommendations for future research and a database detailing the use of individual models and tools,
- a recommended approach for future work on climate adaptation to inform the next EU Commission climate adaptation strategy,
- a series of use cases and case studies to highlight the potential application of rapid analysis of reviewed models and tools for policy and decision making.
This study was conducted in collaboration with Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Deltares, Paul Watkiss Associates (PWA).
The F4S project is seeking to strengthened the shift by the humanitarian actors from response after a shock/disasters to early measures/actions, before the first signs of food insecurity by:
- developing an impact-based forecasting model using machine learning on food insecurity drivers;
- collecting local knowledge on food insecurity and beneficiaries’ preference to key design elements of cash transfer programmes;
- evaluating the cost-effectiveness of different cash transfer mechanisms;
- exploring potential channels to disseminate knowledge and make first steps towards operationalization.
Contact information: Dr Gabriela Guimarães Nobre
With the RESILIO (Resilience nEtwork of Smart Innovative cLImate-adapative rOoftops) project, 10,000 m² of smart blue green roofs are being realized in Amsterdam. This is necessary because it rains more often and harder, as well as getting hotter. Excess rainwater is stored underneath the green layer of plants on the roof. The water can be retained or discharged with a smart valve connected to the weather forecast. This helps us to keep our feet dry and our heads cool. The roofs provide space for new nature, and that is good for the city. We bring roofs to life!
Goal: The project simulates the influence of Sea Level Rise and increased storminess on flood risk in New York City and Los Angeles. A series of climate, hydrodynamic and risk models have been used to simulate trends in flood risk over time. Different adaptation strategies have been developed varying from building code, NFIP based insurance, Nature based solutions and technical engineering approaches.
All references are mentioned here: https://www.researchgate.net/project/Flood-risk-and-climate-adaptation-New-York-Los-Angeles