{"query_echo":{"q":"","filters":{"analysis_type":["probabilistic extreme event attribution"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'probabilistic extreme event attribution' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=probabilistic+extreme+event+attribution","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-000058","url":"https://climateinsightsdirectory.org/document/wwatt-000058","title":"Limited role of climate change in October 2020 Vietnam flooding","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2021-12-16","source_url":"https://www.worldweatherattribution.org/limited-role-of-climate-change-in-october-2020-vietnam-flooding/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The analysis finds no significant evidence that human-caused climate change altered the probability or intensity of the October 2020 heavy rainfall events in Central Vietnam. While observations suggest a 1-in-80 year event, the uncertainty ranges for both observational and model-based data are too large to establish a significant climate change signal. The study concludes that natural variability currently outweighs climate change impacts for multi-day precipitation in the region, emphasizing the need for improved disaster risk reduction measures regardless of climate trends.","ai_generated":true,"unit":"wwatt-000058#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The October 2020 flooding and landslides, driven by typhoon Linfa, a tropical depression, and two subsequent typhoons, resulted in over 200 deaths, more than 500 injuries, and structural damages estimated at 1.2 billion US dollars.","ai_generated":true,"unit":"wwatt-000058#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of weather observations indicates that heavy rainfall of the magnitude seen in October 2020 (Rx15day) is expected to occur approximately once every 80 years in the current climate.","ai_generated":true,"unit":"wwatt-000058#insight-2","date_modified":"2026-10-23"},{"text":"Observational data suggests the 1-in-80 year event is 1.6 times more likely to occur than in the early-industrial climate, with a corresponding 9% increase in rainfall; however, these figures are not statistically significant due to very large uncertainty ranges (0.1 to 400 for likelihood and -41% to +86% for rainfall amount).","ai_generated":true,"unit":"wwatt-000058#insight-3","date_modified":"2026-10-23"},{"text":"Climate models showed no change in the intensity of the event (uncertainty from -8% to +8%) and no change in the likelihood of an event at least as intense as the 2020 event (uncertainty range from 2.5 times less to 2.3 times more frequent).","ai_generated":true,"unit":"wwatt-000058#insight-4","date_modified":"2026-10-23"},{"text":"The study concludes that human-caused climate change is not a major driver of present multi-day heavy rainfall in Central Vietnam, as changes from climate change are currently much smaller than natural variability on a 2-week time scale.","ai_generated":true,"unit":"wwatt-000058#insight-5","date_modified":"2026-10-23"}],"climate_tags":["tropical cyclone","flood","landslide","extreme event attribution","disaster risk reduction"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["probabilistic extreme event attribution"]},{"id":"wwatt-000104","url":"https://climateinsightsdirectory.org/document/wwatt-000104","title":"Climate change increased heavy rainfall, hitting vulnerable communities in Eastern Northeast Brazil","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.worldweatherattribution.org/wp-content/uploads/Brazil-Floods-Scientific-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report investigates the May 2022 extreme rainfall event in Eastern Northeast Brazil, which caused 133 deaths and displaced over 25,000 people. Observational analysis indicates that 7-day and 15-day rainfall events of this magnitude are exceptionally rare in the current climate, with return periods of approximately 1-in-500 and 1-in-1000 years, respectively. While climate models exhibited systematic errors in precipitation magnitudes for this specific event, the authors conclude that human-caused climate change is at least partially responsible for increasing the likelihood and intensity of such rainfall. The study further highlights that structural vulnerabilities, including unplanned urbanisation in low-income neighbourhoods and an infrastructure deficit, significantly exacerbated the disaster's impact.","ai_generated":true,"unit":"wwatt-000104#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The extreme rainfall event in May 2022 was exceptionally rare in the current climate, which has warmed by approximately 1.2°C due to human activities. The 7-day mean rainfall event had a return period of approximately 1-in-500 years, while the 15-day mean rainfall event had a return period of approximately 1-in-1000 years.","ai_generated":true,"unit":"wwatt-000104#insight-1","date_modified":"2026-10-23"},{"text":"Human-caused climate change has increased the intensity of rainfall in the region. Rainfall events of this rarity would have been approximately 20% less intense in a climate that was 1.2°C cooler.","ai_generated":true,"unit":"wwatt-000104#insight-2","date_modified":"2026-10-23"},{"text":"Climate models were unable to quantify the specific role of climate change in the observed increase in likelihood and intensity because they exhibited systematic errors in precipitation magnitudes for this spatially small event, partly due to coarse spatial resolution and poor representation of convection.","ai_generated":true,"unit":"wwatt-000104#insight-3","date_modified":"2026-10-23"},{"text":"Despite model limitations, the authors conclude that human-induced climate change contributed to the increased likelihood and intensity of the heavy rainfall observed in May 2022, a trend expected to continue as greenhouse gas concentrations rise.","ai_generated":true,"unit":"wwatt-000104#insight-4","date_modified":"2026-10-23"},{"text":"The disaster's impact was disproportionately severe for vulnerable communities, particularly in low-income neighbourhoods, due to pre-existing structural vulnerabilities and unplanned urbanisation on steep hillsides and in low-lying flood-prone areas.","ai_generated":true,"unit":"wwatt-000104#insight-5","date_modified":"2026-10-23"},{"text":"The event resulted in 133 fatalities and the displacement of over 25,000 people, with at least 80 municipalities in Alagoas and Pernambuco declaring states of emergency.","ai_generated":true,"unit":"wwatt-000104#insight-6","date_modified":"2026-10-23"},{"text":"There is a critical need to improve the connection between weather warnings and anticipatory actions, as well as to update infrastructure design standards to account for increasing climate risks.","ai_generated":true,"unit":"wwatt-000104#insight-7","date_modified":"2026-10-23"}],"climate_tags":["flood","landslide","extreme event attribution","urbanization","climate change vulnerability","early warning system","infrastructure resilience","La Niña"],"geography_discussed":["Recife","Sergipe","Rio Grande do Norte"],"frame_perspective":[],"analysis_type":["probabilistic extreme event attribution","observational trend analysis","climate model evaluation","vulnerability assessment"]},{"id":"wwatt-000126","url":"https://climateinsightsdirectory.org/document/wwatt-000126","title":"Food crisis in Central Sahel in 2022 driven by chronic vulnerability with uncertain role of climate change","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.worldweatherattribution.org/wp-content/uploads/WestAfrica_Foodcrisis_Scientific-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the 2022 food crisis in the Central Sahel, which followed an erratic 2021 rainy season characterized by delayed onset and short duration. Using three observational datasets and multiple climate models, the study finds that it is impossible to significantly link these specific monsoon characteristics to anthropogenic climate change due to large uncertainties and discrepancies. Instead, the crisis is attributed to chronic vulnerabilities, including extreme poverty, armed conflict, political instability, and global economic shocks such as the war in Ukraine and the COVID-19 pandemic.","ai_generated":true,"unit":"wwatt-000126#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2022 food crisis was preceded by an erratic 2021 rainy season where sowing dates were delayed by more than 15 days between June and July 2021 in central Mali, southern Niger, central Chad, and south of Mauritania.","ai_generated":true,"unit":"wwatt-000126#insight-1","date_modified":"2026-10-23"},{"text":"Severe water stress occurred in 2021, with less than 40% of crop water needs being met by 31 August 2021 in the affected regions.","ai_generated":true,"unit":"wwatt-000126#insight-2","date_modified":"2026-10-23"},{"text":"Cereal production decreased significantly in 2021, with Niger recording a 36% reduction and Burkina Faso a 10% reduction compared to the previous five-year average.","ai_generated":true,"unit":"wwatt-000126#insight-3","date_modified":"2026-10-23"},{"text":"The study concludes that it is impossible to establish a significant link between the 2021 monsoon season characteristics and anthropogenic climate change based on the indices and data used.","ai_generated":true,"unit":"wwatt-000126#insight-4","date_modified":"2026-10-23"},{"text":"The food crisis was exacerbated by socio-economic drivers, including the war in Ukraine, COVID-19 impacts on energy and crop prices, and political unrest and terrorism causing population displacements.","ai_generated":true,"unit":"wwatt-000126#insight-5","date_modified":"2026-10-23"},{"text":"Armed conflict since 2011 has severely increased vulnerability, with over three million people internally displaced and over one million becoming refugees in neighboring countries.","ai_generated":true,"unit":"wwatt-000126#insight-6","date_modified":"2026-10-23"},{"text":"Global economic factors led to soaring food prices by August 2022, with maize, millet, and sorghum prices rising by up to 60% in Chad and 40% in Niger.","ai_generated":true,"unit":"wwatt-000126#insight-7","date_modified":"2026-10-23"},{"text":"Humanitarian response plans for Niger and Chad remain critically underfunded, with less than half of the appeals funded.","ai_generated":true,"unit":"wwatt-000126#insight-8","date_modified":"2026-10-23"},{"text":"Agricultural yield losses in West Africa are increasingly linked to higher temperatures causing higher evapotranspiration and shorter crop cycles, regardless of rainfall changes.","ai_generated":true,"unit":"wwatt-000126#insight-9","date_modified":"2026-10-23"}],"climate_tags":["food security","precipitation","extreme event attribution","extreme heat","crop yield","climate migration","climate change adaptation"],"geography_discussed":["Burkina Faso","Chad","Mali","Niger","Nigeria","Mauritania","Ivory Coast"],"frame_perspective":[],"analysis_type":["probabilistic extreme event attribution","vulnerability assessment"]},{"id":"wwatt-000129","url":"https://climateinsightsdirectory.org/document/wwatt-000129","title":"Climate change exacerbated rainfall causing devastating flooding in Eastern South Africa","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.worldweatherattribution.org/wp-content/uploads/WWA-KZN-floods-scientific-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study concludes that human-induced climate change approximately doubled the probability of the April 2022 extreme rainfall event in Eastern South Africa and increased its intensity by 4-8%. While the event had a return time of about 20 years in the current climate, it would have been rarer in a 1.2°C cooler world. The disaster's impact was severely exacerbated by structural vulnerabilities, including the legacy of apartheid spatial planning and the prevalence of informal settlements in high-risk areas.","ai_generated":true,"unit":"wwatt-000129#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human-induced climate change approximately doubled the probability of the extreme rainfall event that caused the April 2022 disaster and increased the intensity of the event by 4-8%.","ai_generated":true,"unit":"wwatt-000129#insight-1","date_modified":"2026-10-23"},{"text":"In the current climate, the area-averaged 2-day rainfall event had a return time of approximately 20 years, whereas in a world 1.2°C cooler, the return time would have been about 40 years.","ai_generated":true,"unit":"wwatt-000129#insight-2","date_modified":"2026-10-23"},{"text":"Localised rainfall totals were significantly higher than the regional average, with the Mount Edgecombe station recording a 1-in-200 year event.","ai_generated":true,"unit":"wwatt-000129#insight-3","date_modified":"2026-10-23"},{"text":"The April 11-12 event resulted in significant socioeconomic losses, including 435 reported deaths, 55 injuries, 54 missing persons, and property damage estimated at approximately 17 billion rand (US$1.57 billion).","ai_generated":true,"unit":"wwatt-000129#insight-4","date_modified":"2026-10-23"},{"text":"The disaster disproportionately affected marginalised communities and informal settlements, with over 4,000 homes in informal settlements in the eThekwini Metropolitan Municipality destroyed.","ai_generated":true,"unit":"wwatt-000129#insight-5","date_modified":"2026-10-23"},{"text":"Structural vulnerability was exacerbated by the legacy of apartheid spatial planning, specifically the Group Areas Act of 1958, which displaced non-white communities into more flood-exposed areas.","ai_generated":true,"unit":"wwatt-000129#insight-6","date_modified":"2026-10-23"},{"text":"Although the South African Weather Service and eThekwini municipality issued early warnings, evidence suggests these warnings had limited reach or were not actionable for those who received them.","ai_generated":true,"unit":"wwatt-000129#insight-7","date_modified":"2026-10-23"},{"text":"The extreme rainfall was caused by a cut-off low (COL) system, which is common in April in the region, and was further intensified by moisture-laden maritime winds from the southern Indian Ocean.","ai_generated":true,"unit":"wwatt-000129#insight-8","date_modified":"2026-10-23"}],"climate_tags":["extreme rainfall","flood","anthropogenic climate change","extreme event attribution","climate change adaptation","early warning system","informal housing","ecosystem-based adaptation"],"geography_discussed":["eThekwini Metropolitan Municipality","Durban","Mount Edgecombe"],"frame_perspective":[],"analysis_type":["probabilistic extreme event attribution","vulnerability and exposure assessment"]}]}