{"query_echo":{"q":"","filters":{"analysis_type":["statistical modeling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'statistical modeling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=statistical+modeling","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":"wwatt-000075","url":"https://climateinsightsdirectory.org/document/wwatt-000075","title":"Climate change supercharged late typhoon season in the Philippines highlighting the need for resilience to consecutive events","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2024-12-12","source_url":"https://www.worldweatherattribution.org/climate-change-supercharged-late-typhoon-season-in-the-philippines-highlighting-the-need-for-resilience-to-consecutive-events/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A study by scientists from the Philippines, UK, and Netherlands found that human-induced climate change, primarily from burning fossil fuels, increased the likelihood of the potential intensity observed during the 2024 late typhoon season in the Philippines by a factor of 1.7. The analysis focused on the sequence of six storms hitting northern Luzon, including Super Typhoon Man-Yi, and found that the probability of at least three major typhoons making landfall in a single year has increased by 25% in the current 1.3°C warmed climate compared to a world without fossil fuel combustion.","ai_generated":true,"unit":"wwatt-000075#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between late October and November 2024, the Philippines experienced an unprecedented sequence of six typhoons, including Super Typhoon Man-Yi, which had maximum sustained winds of 195 km/h. This period saw a record simultaneous occurrence of four named storms in the Pacific basin since 1951.","ai_generated":true,"unit":"wwatt-000075#insight-1","date_modified":"2026-10-23"},{"text":"The series of storms caused significant human and economic distress, with early economic loss estimates reaching nearly half a billion USD. Tropical Cyclones Trami and Kong-Rey alone resulted in over 160 deaths, displaced more than 600,000 people, and affected over 9 million individuals.","ai_generated":true,"unit":"wwatt-000075#insight-2","date_modified":"2026-10-23"},{"text":"Human-induced climate change, driven by fossil fuel combustion, has increased the potential intensity of typhoons. The observed potential intensity in 2024 was made approximately 1.7 times more likely, with an intensity increase of about 2 m/s (7.2 km/h). These figures are considered conservative as climate models tend to underestimate observed changes.","ai_generated":true,"unit":"wwatt-000075#insight-3","date_modified":"2026-10-23"},{"text":"The probability of at least three major typhoons (category 3 or above) making landfall in the Philippines in a single year has increased by 25% due to the current 1.3°C global warming, making such an event expected once every 15 years. In a 2°C warmer climate, this frequency is expected to increase to once every 12 years.","ai_generated":true,"unit":"wwatt-000075#insight-4","date_modified":"2026-10-23"},{"text":"Despite having low household poverty rates, cities on Luzon Island remain highly vulnerable to flooding due to deforestation, river silting, and urban sprawl. The frequency of consecutive extreme events hinders population recovery and necessitates increased resilience.","ai_generated":true,"unit":"wwatt-000075#insight-5","date_modified":"2026-10-23"}],"climate_tags":["tropical cyclone","extreme event attribution","fossil fuel","disaster risk reduction","deforestation","climate resilience","extreme weather event"],"geography_discussed":["Taiwan","Sahel"],"frame_perspective":[],"analysis_type":["attribution study","statistical modeling"]},{"id":"climcent-000309","url":"https://climateinsightsdirectory.org/document/climcent-000309","title":"365 Days on a Warming Planet","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://assets.ctfassets.net/cxgxgstp8r5d/2XzrYheK2B1zL0a1sPOgp3/b9e096a1b338401fe30401e8b9f3fd85/Climate_Central_Report_365_Days_on_a_Warming_Planet.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate Central's global analysis using the Climate Shift Index (CSI) found that 96% of the world's population—7.6 billion people—experienced daily temperatures made warmer by human-caused climate change between October 2021 and September 2022. The study identifies the strongest influences in regions near the equator and on small islands, with Lagos, Mexico City, and Singapore emerging as the highest hotspots of human exposure when accounting for urban population. The analysis also pinpointed peak continental CSI days, noting that these do not always coincide with major heat waves.","ai_generated":true,"unit":"climcent-000309#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human-caused climate change affected the temperatures experienced by 7.6 billion people, representing approximately 96% of the global population, during the 12-month study period from October 1, 2021, to September 30, 2022.","ai_generated":true,"unit":"climcent-000309#insight-1","date_modified":"2026-10-23"},{"text":"The strongest influence of human-driven warming was observed in Mexico, Brazil, the Arabian Peninsula, the Malay Archipelago, and western and eastern Africa.","ai_generated":true,"unit":"climcent-000309#insight-2","date_modified":"2026-10-23"},{"text":"Global exposure to temperatures made at least three times more likely due to climate change peaked on October 9, 2021, affecting more than 1.7 billion people.","ai_generated":true,"unit":"climcent-000309#insight-3","date_modified":"2026-10-23"},{"text":"When accounting for urban population size, the highest total human exposure to daily temperatures altered by climate change occurred in Lagos, Nigeria; Mexico City, Mexico; and Singapore.","ai_generated":true,"unit":"climcent-000309#insight-4","date_modified":"2026-10-23"},{"text":"Cities in small island developing states exhibited the highest average CSI scores, with Apia, Samoa and Ngerulmud, Palau ranking as the top two cities.","ai_generated":true,"unit":"climcent-000309#insight-5","date_modified":"2026-10-23"},{"text":"The analysis identified specific peak CSI days for each continent: Oceania (October 19, 2021), Africa (November 25, 2021), Europe (February 17, 2022), South America (July 16, 2022), North America (July 19, 2022), and Asia (August 9, 2022).","ai_generated":true,"unit":"climcent-000309#insight-6","date_modified":"2026-10-23"},{"text":"The report notes that peak continental CSI days do not necessarily align with major heat waves; for example, Europe's peak CSI influence was more widespread in February than during the July 2022 heat wave.","ai_generated":true,"unit":"climcent-000309#insight-7","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","climate change"],"geography_discussed":["Mexico","Brazil","Africa","Arabian Peninsula","Malay Archipelago","Lagos","Mexico City","Singapore","Oceania","Europe","Asia","North America","South America","Samoa","Palau"],"frame_perspective":[],"analysis_type":["attribution analysis","statistical modeling"]},{"id":"wwatt-000117","url":"https://climateinsightsdirectory.org/document/wwatt-000117","title":"Rapid attribution analysis of the extraordinary heatwave on the Pacific Coast of the US and Canada June 2021","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2021","source_url":"https://www.worldweatherattribution.org/wp-content/uploads/NW-US-extreme-heat-2021-scientific-report-WWA.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report concludes that the June 2021 Pacific Northwest heatwave was virtually impossible without human-caused climate change, estimating it as a 1-in-1000 year event in the current climate. The analysis indicates the event was approximately 2°C hotter than it would have been in a pre-industrial climate and would have been at least 150 times rarer without anthropogenic warming. Future projections suggest that in a world with 2°C of global warming, such an event would occur every 5 to 10 years and be another degree hotter. Meteorological drivers included an 'omega-block' high-pressure system and dry antecedent soil conditions, while natural variability modes like ENSO and PDO played little to no role.","ai_generated":true,"unit":"wwatt-000117#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the most realistic statistical analysis, the heatwave is estimated to be a 1-in-1000 year event in the current climate, though it was at least 150 times rarer before human-induced climate change.","ai_generated":true,"unit":"wwatt-000117#insight-1","date_modified":"2026-10-23"},{"text":"The heatwave was approximately 2°C hotter than it would have been at the start of the industrial revolution, when global mean temperatures were 1.2°C lower than in 2021.","ai_generated":true,"unit":"wwatt-000117#insight-2","date_modified":"2026-10-23"},{"text":"If global warming reaches 2°C, an event of this magnitude would occur roughly every 5 to 10 years and would be an additional 1°C hotter than the 2021 event.","ai_generated":true,"unit":"wwatt-000117#insight-3","date_modified":"2026-10-23"},{"text":"The event was characterized by an 'omega-block' high-pressure system with a 500 hPa geopotential height of approximately 5980 m, which was unprecedented for western North America between 1948 and June 2021.","ai_generated":true,"unit":"wwatt-000117#insight-4","date_modified":"2026-10-23"},{"text":"Anomalously dry antecedent conditions from March through June 2021, particularly in Western Oregon, likely amplified temperatures by reducing latent cooling from evapotranspiration.","ai_generated":true,"unit":"wwatt-000117#insight-5","date_modified":"2026-10-23"},{"text":"Natural variability modes, specifically the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO), were found to have little to no influence on the heatwave.","ai_generated":true,"unit":"wwatt-000117#insight-6","date_modified":"2026-10-23"},{"text":"The heatwave caused significant human and infrastructure impacts, including several hundred extra deaths in Canada, power outages, and the destruction of the village of Lytton, where a record temperature of 49.6 °C was measured on June 29.","ai_generated":true,"unit":"wwatt-000117#insight-7","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","heat wave","extreme event attribution","anthropogenic climate change","drought","climate change adaptation"],"geography_discussed":["Portland","Seattle","Vancouver","Lytton","Western Oregon","British Columbia"],"frame_perspective":[],"analysis_type":["attribution analysis","statistical modeling","meteorological analysis"]},{"id":"commyale-000138","url":"https://climateinsightsdirectory.org/document/commyale-000138","title":"Public Opinion on Climate Change, 2024 Alabama","publisher":{"name":"Yale Program on Climate Change Communication","organization":"yale-program-on-climate-change-communication"},"document_type":"fact sheet","language":"en","date_published":"2015-01-16","source_url":"https://climatecommunication.yale.edu/news-events/climate-change-alabama/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 data for Alabama indicates that while a majority of residents (62%) believe global warming is occurring, there is a split in perception regarding its cause, with 51% attributing it to human activities. Support for clean energy transitions and renewable energy research is notable, with 57% supporting a transition to 100% clean energy by 2050 and 72% supporting renewable energy research. Risk perceptions are significant, as 54% of residents are worried about global warming and 61% believe it will harm future generations and animal species.","ai_generated":true,"unit":"commyale-000138#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A majority of Alabama residents acknowledge global warming, though views on its cause and scientific consensus are less unified: 62% believe global warming is happening, 51% attribute it mostly to human activities, and 46% believe most scientists agree it is occurring.","ai_generated":true,"unit":"commyale-000138#insight-1","date_modified":"2026-10-23"},{"text":"Public perception of climate impacts in the U.S. is varied, with the highest agreement (55%) that global warming affects weather, followed by extreme heat (53%), hurricanes (47%), and droughts (47%). Personally, 41% of Alabamians agree they have experienced these effects.","ai_generated":true,"unit":"commyale-000138#insight-2","date_modified":"2026-10-23"},{"text":"There is strong support for renewable energy and carbon regulation in Alabama: 72% support funding research into renewable energy and generating renewable energy on public land, 69% support regulating carbon dioxide as a pollutant, and 57% support transitioning the U.S. economy to 100% clean energy by 2050.","ai_generated":true,"unit":"commyale-000138#insight-3","date_modified":"2026-10-23"},{"text":"Risk perceptions are high for external groups and the environment, but lower for personal impact: 61% believe global warming will harm future generations and plants/animal species, while only 38% believe it will harm them personally a moderate or great deal.","ai_generated":true,"unit":"commyale-000138#insight-4","date_modified":"2026-10-23"},{"text":"A majority of Alabamians believe various entities should increase their efforts to address global warming, including corporations (61%), citizens (54%), Congress (53%), the President (50%), and local officials or the governor (51% each).","ai_generated":true,"unit":"commyale-000138#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","renewable energy","energy transition","carbon tax","climate change education","extreme heat","wildfire","drought","sea level rise","flood","hurricane"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["public opinion survey","statistical modeling"]},{"id":"prio-001495","url":"https://climateinsightsdirectory.org/document/prio-001495","title":"Issue-specific policy-positions and voting in the Council","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2013-05-22","source_url":"https://cdn.cloud.prio.org/files/fef4034a-1cbf-44e1-85ab-8fb0ba85611c/Issue-specific policy-positions and voting in the Council.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The research evaluates the relationship between preference-based positions and voting in the Council of the European Union by combining positional data from expert interviews with official voting records. The authors find that governments generally vote in line with their issue-specific positions, supporting the view that they act as rational, utility-maximizing agents. This relationship is more pronounced when the analysis accounts for the salience of issues and employs Bayesian imputation to handle missing data, rather than using standard mean-replacement or list-wise deletion. The study suggests that the perceived 'culture of consensus' in the Council may be a result of selection bias, as only adopted legislation is recorded in the official minutes.","ai_generated":true,"unit":"prio-001495#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Governments in the Council of the European Union tend to vote in accordance with their issue-specific policy positions, supporting the hypothesis that they act as rational utility-maximizers.","ai_generated":true,"unit":"prio-001495#insight-1","date_modified":"2026-10-23"},{"text":"The statistical relationship between preference-based positions and voting behavior is stronger when missing data in positional data-sets is handled via imputation rather than through mean-replacement or list-wise deletion.","ai_generated":true,"unit":"prio-001495#insight-2","date_modified":"2026-10-23"},{"text":"Accounting for the salience that governments attach to specific issues further strengthens the observed relationship between their policy positions and their voting decisions.","ai_generated":true,"unit":"prio-001495#insight-3","date_modified":"2026-10-23"},{"text":"The high level of consensus observed in Council voting records may be a product of selection bias, as the official minutes only record legislation that has already been successfully adopted.","ai_generated":true,"unit":"prio-001495#insight-4","date_modified":"2026-10-23"},{"text":"Including formal negative statements as 'no' votes increases the observed level of dissent in the data; for the 46 proposals analyzed, the total number of dissents rose from 23 (final votes only) to 41 (including all rounds and statements).","ai_generated":true,"unit":"prio-001495#insight-5","date_modified":"2026-10-23"},{"text":"The authors argue that the link between preferences and voting suggests that the interests of domestic constituencies are not entirely erased by the bargaining process, which may enhance the democratic legitimacy of EU decision-making.","ai_generated":true,"unit":"prio-001495#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","statistical modeling","comparative study"]},{"id":"prio-001323","url":"https://climateinsightsdirectory.org/document/prio-001323","title":"Diffusion Patterns of Violence in Civil Wars","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/001c5f30-1d0c-4456-867a-52998eb64602/Diffusion Patterns of Violence in Civil Wars.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The authors analyze how violence spreads in space and time during civil wars, distinguishing between relocation diffusion (shifting violence) and escalation diffusion (expanding violence). Using a modified joint count statistic and Monte Carlo simulations on ACLED event data from Bosnia, Kosovo, Burundi, and Rwanda, the study finds that violence typically expands in scope, supporting the theory that irregular warfare lacks demarcated front lines.","ai_generated":true,"unit":"prio-001323#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors distinguish between two primary types of conflict diffusion: relocation diffusion, which is a \"shift in the location of violence\" typical of conventional maneuver warfare with clear front lines, and escalation diffusion, which refers to the \"spatial expansion of the conflict site\" typical of mobile guerrilla war.","ai_generated":true,"unit":"prio-001323#insight-1","date_modified":"2026-10-23"},{"text":"The study argues that civil wars should primarily exhibit escalation diffusion because insurgents often establish small bases and expand them, and combatants frequently engage in violence within their own zones of control to extract resources or due to the fragmentation of opposing forces.","ai_generated":true,"unit":"prio-001323#insight-2","date_modified":"2026-10-23"},{"text":"To detect these patterns, the researchers developed a spatial-temporal joint count statistic that observes pairs of neighboring spatial cells over two subsequent time steps, testing observed transitions against a null model created via Monte Carlo simulation.","ai_generated":true,"unit":"prio-001323#insight-3","date_modified":"2026-10-23"},{"text":"Analysis of the Bosnian War (April 1992 to October 1995) revealed a predominance of escalation diffusion, which the authors attribute to the use of irregular units and militias pursuing ethno-territorial goals rather than following clear front lines.","ai_generated":true,"unit":"prio-001323#insight-4","date_modified":"2026-10-23"},{"text":"In the Kosovo conflict (March 1998 to October 1999), the results showed a time-invariant pattern of escalation diffusion occurring at small spatial scales (3 km to 7 km), consistent with the KLA's use of guerrilla tactics.","ai_generated":true,"unit":"prio-001323#insight-5","date_modified":"2026-10-23"},{"text":"The civil war in Burundi (November 1993 to end of 2003) exhibited both escalation and relocation diffusion; the presence of relocation dynamics is attributed to mobile warfare and movements across the border into the Democratic Republic of the Congo.","ai_generated":true,"unit":"prio-001323#insight-6","date_modified":"2026-10-23"},{"text":"Analysis of the Rwandan civil war after 1994 showed a significant number of escalation diffusion instances at spatial scales between 3 km and 8 km, with an almost complete absence of relocation diffusion.","ai_generated":true,"unit":"prio-001323#insight-7","date_modified":"2026-10-23"},{"text":"The overall results across the four cases support the conclusion that violence in civil wars tends to expand in scope once it has occurred at a particular location, fitting a model of irregular warfare without demarcated areas of control.","ai_generated":true,"unit":"prio-001323#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Democratic Republic of the Congo","Albania"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis","statistical modeling","Monte Carlo simulation"]}]}