{"query_echo":{"q":"","filters":{"analysis_type":["data set description"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data set description' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+set+description","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":"wri-000080","url":"https://climateinsightsdirectory.org/document/wri-000080","title":"City-Scale, City-Relevant Climate Hazard Indicators Under 1.5°C, 2.0°C, and 3.0°C of Global Warming","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/technical-note-city-climate-hazards-warming-scenarios","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document introduces a data set providing 14 city-relevant climate hazard indicators for 996 large cities, based on NEX-GDDP-CMIP6 downscaled climate simulations. It compares a 1994-2014 historical baseline against three warming scenarios (1.5°C, 2.0°C, and 3.0°C) to assist city decision-makers in strategic planning and risk management. Key findings indicate that at 3.0°C of warming, cities will experience heatwaves that are 28% longer and 25% more frequent on average than at 1.5°C, alongside increased energy demand for cooling and higher transmission risks for arboviruses.","ai_generated":true,"unit":"wri-000080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Comparing the 3.0°C warming scenario to the 1.5°C scenario, cities will on average experience heatwaves that are 28% longer in duration and 25% more frequent per year.","ai_generated":true,"unit":"wri-000080#insight-1","date_modified":"2026-10-23"},{"text":"The data indicates that energy demand for cooling will increase for cities, and while the number of days with high malaria-transmission risk will see a modest decline, the annual number of days with high transmission risk for arboviruses will increase generally.","ai_generated":true,"unit":"wri-000080#insight-2","date_modified":"2026-10-23"},{"text":"The data set comprises 14 indicators—10 temperature-based and 4 precipitation-based—calculated at a 0.25-degree spatial resolution for 996 large cities, using the NEX-GDDP-CMIP6 family of downscaled climate simulations.","ai_generated":true,"unit":"wri-000080#insight-3","date_modified":"2026-10-23"}],"climate_tags":["heat wave","precipitation","energy infrastructure","public health","malaria","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["data set description","climate projection"]}]}