{"query_echo":{"q":"","filters":{"analysis_type":["observational trend analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'observational trend analysis' 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=observational+trend+analysis","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-000087","url":"https://climateinsightsdirectory.org/document/wwatt-000087","title":"Yet another hurricane: wetter, windier and more destructive because of climate change","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"report","language":"en","date_published":"2024-10-11","source_url":"https://www.worldweatherattribution.org/yet-another-hurricane-wetter-windier-and-more-destructive-because-of-climate-change/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that human-induced climate change increased the intensity and likelihood of heavy rainfall associated with Hurricane Milton in central Florida. Using the IRIS model, the analysis indicates that climate change increased the frequency of storms with Milton's wind speeds by approximately 40%, meaning the storm would have likely made landfall as a Category 2 rather than a Category 3 hurricane without global warming. Additionally, sea surface temperatures along Milton's track were 1°C warmer than in a world without climate change, making such temperatures 400 to 800 times more likely. The report also assesses Florida's adaptation measures, noting that while building codes are among the toughest in the US, the state's planning remains largely reactive and fails to adequately address social vulnerabilities in low-income and minority communities.","ai_generated":true,"unit":"wwatt-000087#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of four observational datasets indicates that heavy 1-day rainfall events similar to those associated with Hurricane Milton are approximately 20-30% more intense and twice as likely in the current climate, which is 1.3°C warmer than it would have been without human-induced climate change.","ai_generated":true,"unit":"wwatt-000087#insight-1","date_modified":"2026-10-23"},{"text":"Using the IRIS synthetic storm model, the report finds that storms with wind speeds similar to Hurricane Milton have become about 40% more frequent due to 1.3°C of global warming. Consequently, maximum wind speeds for such storms are now approximately 5 m/s (about 10%) stronger, suggesting Milton would have been a Category 2 instead of a Category 3 hurricane without climate change.","ai_generated":true,"unit":"wwatt-000087#insight-2","date_modified":"2026-10-23"},{"text":"Sea surface temperatures along the track of Hurricane Milton were consistently more than 1°C warmer than they would have been without climate change, and these temperatures were made 400 to 800 times more likely, facilitating the storm's development and rapid intensification.","ai_generated":true,"unit":"wwatt-000087#insight-3","date_modified":"2026-10-23"},{"text":"Florida's building codes have been strengthened significantly since Hurricane Andrew (1992) and Hurricane Michael (2018), with the 2020 updates making the Florida Building Code the toughest among Gulf and Atlantic Coast states by 2021. As of December 31, 2023, residential buildings must withstand winds of 130-180 mph, and critical structures up to 195 mph.","ai_generated":true,"unit":"wwatt-000087#insight-4","date_modified":"2026-10-23"},{"text":"Despite structural improvements, Florida's climate adaptation is characterized as reactive rather than preventative. The state lacks sufficient integration of nature-based solutions, such as wetland restoration, and fails to adequately address the heightened risks faced by low-income and minority communities due to inadequate housing and resources.","ai_generated":true,"unit":"wwatt-000087#insight-5","date_modified":"2026-10-23"}],"climate_tags":["tropical cyclone","sea surface temperature","extreme event attribution","climate change adaptation","building code","nature-based solutions","storm surge","sea level rise"],"geography_discussed":["Gulf of Mexico","Yucatan Peninsula","North Atlantic Ocean","United States"],"frame_perspective":[],"analysis_type":["attribution analysis","observational trend analysis","synthetic storm modelling"]},{"id":"wwatt-000044","url":"https://climateinsightsdirectory.org/document/wwatt-000044","title":"Attribution of the 2018 heat in Northern Europe","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2018-07-28","source_url":"https://www.worldweatherattribution.org/attribution-of-the-2018-heat-in-northern-europe/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study assesses the 2018 heatwave in Northern Europe using observational data and climate models to determine the role of human-induced warming. It finds that the probability of such an event has increased across the region, with the most significant increases in probability estimated in Ireland, Denmark, and the Netherlands. While the heat was most extreme in the high Arctic (northern Finland), where it exceeded historical records, the risk ratio was more easily quantified in southern regions. The authors conclude that anthropogenic climate change made these heatwaves more likely, though the exact magnitude of the increase is harder to quantify in Scandinavia due to high natural variability.","ai_generated":true,"unit":"wwatt-000044#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Anthropogenic climate change has increased the probability of the 2018 heatwave occurring across Northern Europe, with the likelihood generally estimated to be more than twice as high as it would have been without human influence.","ai_generated":true,"unit":"wwatt-000044#insight-1","date_modified":"2026-10-23"},{"text":"The heatwave was most extreme in the high Arctic, specifically in northern Finland, where temperatures reached levels not previously measured in over a century of data.","ai_generated":true,"unit":"wwatt-000044#insight-2","date_modified":"2026-10-23"},{"text":"In Ireland and Denmark, the increase in the probability of such heatwaves is well-supported by both observations and climate models, with a risk ratio of approximately two in Dublin and four in Denmark.","ai_generated":true,"unit":"wwatt-000044#insight-3","date_modified":"2026-10-23"},{"text":"In the Netherlands, observational data shows a much larger increase in the probability of hot extremes than climate models suggest, a discrepancy the authors note is a known issue in Central Europe.","ai_generated":true,"unit":"wwatt-000044#insight-4","date_modified":"2026-10-23"},{"text":"While anthropogenic climate change is concluded to have increased the odds of the 2018 heatwave in Scandinavia, the exact magnitude cannot be quantified because the high variability of summer weather makes the observational trend undetectable.","ai_generated":true,"unit":"wwatt-000044#insight-5","date_modified":"2026-10-23"},{"text":"The return periods for the 2018 heat events varied by location, being approximately 5 years in the Netherlands and 10 years in southern Scandinavia and Ireland, while exceeding 90 years in northern Finland.","ai_generated":true,"unit":"wwatt-000044#insight-6","date_modified":"2026-10-23"}],"climate_tags":["anthropogenic climate change","heat wave","extreme event attribution","climate modeling"],"geography_discussed":["Ireland","Netherlands","Denmark","Norway","Sweden","Finland","France","Scandinavia"],"frame_perspective":[],"analysis_type":["probabilistic event attribution","observational trend analysis","climate model comparison"]},{"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-000132","url":"https://climateinsightsdirectory.org/document/wwatt-000132","title":"Human contribution to the record-breaking June 2019 heat wave in France","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-Science_France_heat_June_2019.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study concludes that the June 2019 heat wave in France was made at least five times more likely due to human-induced climate change. Observational data suggests a much higher increase in probability and a temperature rise of approximately 4ºC compared to a century ago, though climate models generally show lower trends and systematic biases in representing heat wave variability.","ai_generated":true,"unit":"wwatt-000132#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The June 2019 heat wave was made at least 5 times more likely due to human-induced climate change, though observational data suggests the increase could be a factor of 100 or more.","ai_generated":true,"unit":"wwatt-000132#insight-1","date_modified":"2026-10-23"},{"text":"Observational analysis indicates that a heat wave of similar frequency to the June 2019 event would have been approximately 4ºC cooler around 1901.","ai_generated":true,"unit":"wwatt-000132#insight-2","date_modified":"2026-10-23"},{"text":"In the current climate, a June heat wave defined by the three-day average of daily mean temperature (TG3x) has an estimated return period of 30 years for France and 54 years for Toulouse.","ai_generated":true,"unit":"wwatt-000132#insight-3","date_modified":"2026-10-23"},{"text":"Climate models exhibit systematic biases in representing June heat waves, specifically overestimating year-on-year variability (the scale parameter) and failing to reproduce the observed shape parameter of the temperature distribution.","ai_generated":true,"unit":"wwatt-000132#insight-4","date_modified":"2026-10-23"},{"text":"The extreme temperatures were driven by specific dynamical conditions, including a mid-tropospheric “cut-off low” system that transported hot Saharan air into France.","ai_generated":true,"unit":"wwatt-000132#insight-5","date_modified":"2026-10-23"},{"text":"The study notes that the high warming trend in France during June may be amplified by soil moisture drying, which reduces evaporative cooling in Mediterranean climates.","ai_generated":true,"unit":"wwatt-000132#insight-6","date_modified":"2026-10-23"}],"climate_tags":["heat wave","anthropogenic climate change","extreme event attribution","climate modeling","greenhouse gas"],"geography_discussed":["Europe","Switzerland","Austria","Netherlands","Czech Republic","Germany","Italy","Spain"],"frame_perspective":[],"analysis_type":["attribution analysis","observational trend analysis","model evaluation"]}]}