{"query_echo":{"q":"","filters":{"geography":["Halmstad"]},"warnings":[]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Halmstad","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-000243","url":"https://climateinsightsdirectory.org/document/sei-000243","title":"Compound flooding in Halmstad","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-09-04","source_url":"https://www.sei.org/publications/compound-flooding-in-halmstad/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study examines compound flooding in Halmstad, Sweden, identifying a correlation between river discharge and sea level annual maxima driven by the North Atlantic Oscillation (NAO). Future compound flooding risks are projected to be primarily driven by mean sea level rise and secondarily by increased mean river discharge.","ai_generated":true,"unit":"sei-000243#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"River discharge and sea level annual maxima in Halmstad exhibit a correlation in peak strength on interannual time scales, which is attributed to a shared dependence on the North Atlantic Oscillation (NAO).","ai_generated":true,"unit":"sei-000243#insight-1","date_modified":"2026-10-23"},{"text":"Winter precipitation acts as a driver for fluvial river hazards and may contribute additional pluvial hazards, sharing the same dependence on the North Atlantic Oscillation (NAO).","ai_generated":true,"unit":"sei-000243#insight-2","date_modified":"2026-10-23"},{"text":"Future changes in compound flooding in the region are expected to be driven mainly by the rise in mean sea level, followed by increases in mean river discharge.","ai_generated":true,"unit":"sei-000243#insight-3","date_modified":"2026-10-23"}],"climate_tags":["sea level rise","climate change scenario"],"geography_discussed":["North Atlantic Ocean"],"frame_perspective":[],"analysis_type":["climate projection","correlation analysis"]},{"id":"sei-002329","url":"https://climateinsightsdirectory.org/document/sei-002329","title":"UNCHAIN – Unpacking climate impact chains","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/impact-chain-model-sei2022.041.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The UNCHAIN project utilizes an impact chain method to improve climate change risk assessments and adaptation actions. In a case study in Halmstad, Sweden, researchers adapted this model to explore how multiple hydrometeorological hazards interact with pre-existing vulnerabilities to create cascading disruptions across critical infrastructures and vital societal functions, potentially generating new vulnerable social groups. The process emphasized the co-production of knowledge, integrating stakeholder expertise from sectors such as water services, urban planning, and risk management through a participatory, iterative approach based on five selected modules of the impact chain framework.","ai_generated":true,"unit":"sei-002329#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The UNCHAIN approach employs an impact chain method based on the concepts of hazard, exposure, and vulnerability, structured around eight modules to provide guidance for implementing risk assessments.","ai_generated":true,"unit":"sei-002329#insight-1","date_modified":"2026-10-23"},{"text":"In Halmstad, Sweden, the research focused on how multiple hydrometeorological hazards—such as sea level rise, storm surges, and flooding—can occur simultaneously or 'cascadingly', causing disruptions to critical infrastructures and vital societal functions.","ai_generated":true,"unit":"sei-002329#insight-2","date_modified":"2026-10-23"},{"text":"The project adapted the standard impact chain model to better capture multidimensional and situational factors, proposing a flow where a climate signal triggers multiple hazards that interact with pre-existing vulnerabilities to create cascading effects and 'emerging social vulnerability'.","ai_generated":true,"unit":"sei-002329#insight-3","date_modified":"2026-10-23"},{"text":"The Halmstad case study utilized a co-production of knowledge approach, combining the impact chain model with the Tandem framework to foster iterative collaboration between researchers and municipality stakeholders across disciplines.","ai_generated":true,"unit":"sei-002329#insight-4","date_modified":"2026-10-23"},{"text":"Due to a lack of historical data on hazardous events in Sweden, the project used a scenario-based approach where stakeholders co-designed scenarios based on local knowledge and the Halmstad Municipality adaptation plan.","ai_generated":true,"unit":"sei-002329#insight-5","date_modified":"2026-10-23"},{"text":"The research process in Halmstad implemented five of the eight impact chain modules, resulting in outputs such as a social vulnerability index and spatial vulnerability maps based on open data from Statistics Sweden and Delmos.","ai_generated":true,"unit":"sei-002329#insight-6","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","climate change adaptation","sea level rise","storm surge","flood"],"geography_discussed":["Europe"],"frame_perspective":[],"analysis_type":["case study","methodological innovation"]},{"id":"sei-002840","url":"https://climateinsightsdirectory.org/document/sei-002840","title":"Weather, wealth and well-being","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/water-related-hazards-halmstad-sei2022.038.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The briefing examines social vulnerability in Halmstad, Sweden, in the context of climate-driven water-related hazards. It argues that while Sweden is generally resilient, specific social groups remain vulnerable due to intersecting factors such as age, income, and disability. Using the impact chain model, the authors demonstrate how disruptions to critical infrastructure—such as water, energy, and transport—can create cascading effects that disproportionately impact the most vulnerable and can even create new vulnerable groups. The document highlights 'erosive coping' where disaster responses may inadvertently reinforce existing inequalities. It recommends that local authorities integrate social dimensions into their risk and vulnerability assessments to design more effective disaster risk reduction strategies.","ai_generated":true,"unit":"sei-002840#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Social vulnerability in Halmstad is shaped by nine primary underlying attributes: age, language, illness and disability, educational attainment, single parent households, vehicle ownership, housing, income, and unemployment.","ai_generated":true,"unit":"sei-002840#insight-1","date_modified":"2026-10-23"},{"text":"Certain professional roles are inherently more exposed to risk during water-related hazards due to their duties, including emergency response personnel, healthcare staff, and caregivers.","ai_generated":true,"unit":"sei-002840#insight-2","date_modified":"2026-10-23"},{"text":"Infrastructure dependency creates varying levels of vulnerability based on redundancy and location; for example, rural residents may be less dependent on municipal water due to private wells, while urban apartment dwellers lack alternative water sources.","ai_generated":true,"unit":"sei-002840#insight-3","date_modified":"2026-10-23"},{"text":"Cascading effects can create new vulnerable groups; for instance, disruptions in education can disproportionately affect women and single mothers who may be forced to stay home with children, subsequently impacting healthcare provision if those mothers are also healthcare workers.","ai_generated":true,"unit":"sei-002840#insight-4","date_modified":"2026-10-23"},{"text":"The document identifies 'erosive coping' as disaster management strategies that increase vulnerability, such as crisis communication that relies on digital tools or specific languages, which excludes those without such access.","ai_generated":true,"unit":"sei-002840#insight-5","date_modified":"2026-10-23"},{"text":"The authors recommend that local authorities move beyond infrastructure-focused risk assessments to include social dimensions and use the impact chain model to identify who depends on critical functions.","ai_generated":true,"unit":"sei-002840#insight-6","date_modified":"2026-10-23"}],"climate_tags":["storm surge","drought","water scarcity","disaster risk reduction","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","scenario-based analysis"]}]}