{"query_echo":{"q":"","filters":{"analysis_type":["climate projection"]},"warnings":[]},"total":{"value":64,"relation":"eq"},"page":4,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=climate+projection&page=4","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":"ucs-001227","url":"https://climateinsightsdirectory.org/document/ucs-001227","title":"Microsoft Word - greatplains.doc","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.ucs.org/sites/default/files/2019-09/us-global-climate-change-report-greatplains.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Great Plains region has experienced increasing average temperatures and shifting precipitation patterns, with winter temperatures in northern states rising by more than 6°F over the last 30 years. Climate change is projected to exacerbate the depletion of the High Plains (Ogallala) aquifer, particularly in the southern region where unsustainable water use and extreme heat are already prevalent. Agriculture and livestock are highly vulnerable; rising temperatures are expected to shift crop zones, increase pest prevalence, and reduce livestock yields, with a projected 10% decline in cow/calf and dairy operations under higher emissions scenarios. Ecosystems, specifically prairie potholes and playa lakes, face threats from altered evaporation and recharge rates, which impacts migratory birds and aquifer replenishment. The document also highlights the vulnerability of 65 Native American tribes on rural lands facing water quantity and quality issues.","ai_generated":true,"unit":"ucs-001227#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Great Plains has seen a rise in average temperatures, most notably in the northern states where winter temperatures increased by over 6 degrees Fahrenheit during the last 30 years.","ai_generated":true,"unit":"ucs-001227#insight-1","date_modified":"2026-10-23"},{"text":"Water resources in the region are unsustainable, as the High Plains (Ogallala) aquifer is being depleted faster than it can recharge, with an average daily pump rate of 19 billion gallons.","ai_generated":true,"unit":"ucs-001227#insight-2","date_modified":"2026-10-23"},{"text":"Since 1950, aquifer water levels have dropped by an average of 13 feet (a 9% decrease in storage), with much steeper declines of 100 to over 250 feet in parts of Kansas, Oklahoma, and Texas.","ai_generated":true,"unit":"ucs-001227#insight-3","date_modified":"2026-10-23"},{"text":"Climate change is expected to negatively impact livestock production; under higher emissions scenarios (warming of 9 to 11ºF), cow/calf and dairy operations in the southern Plains, Southeast, and Appalachia could see a 10% yield decline.","ai_generated":true,"unit":"ucs-001227#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural productivity is threatened by shifting optimal crop zones, the northward spread of pests, and heat stress; for example, crops like tomatoes can suffer reduced yield or quality if daytime maximums exceed 90°F during critical reproductive stages.","ai_generated":true,"unit":"ucs-001227#insight-5","date_modified":"2026-10-23"},{"text":"Prairie potholes and playa lakes, which are critical for migratory birds and aquifer recharge, are threatened by climate-driven changes in evaporation and runoff, as well as human activities like urban sprawl and agricultural drainage.","ai_generated":true,"unit":"ucs-001227#insight-6","date_modified":"2026-10-23"},{"text":"Native American populations in the region, comprising 65 tribes, are particularly vulnerable due to limited resources and existing problems with water quality and quantity.","ai_generated":true,"unit":"ucs-001227#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change","drought","water resource","agriculture","crop yield","wind power","biodiversity loss","climate justice"],"geography_discussed":["Appalachia","Southeast","Mississippi Delta"],"frame_perspective":[],"analysis_type":["impact assessment","climate projection"]},{"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"]},{"id":"wwatt-000111","url":"https://climateinsightsdirectory.org/document/wwatt-000111","title":"Human influence on growing period frosts like the early april 2021 in Central 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/GrowingPeriodFrost2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that while overall spring minimum temperatures are increasing, human-caused warming has advanced the start of the growing season (bud burst), exposing plants to more intense frosts. The April 2021 event in central France is attributed in part to this shift, with models projecting an increase in the frequency of such growing-period frosts in a 2°C warmer climate.","ai_generated":true,"unit":"wwatt-000111#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human-induced climate change has reduced the intensity of fixed-season spring cold spells. Without this influence, temperatures in April would have been lower by 1.2°C [0.7°C;1.6°C] compared to preindustrial conditions.","ai_generated":true,"unit":"wwatt-000111#insight-1","date_modified":"2026-10-23"},{"text":"Despite the general decrease in spring cold spells, human-caused warming has advanced the timing of bud burst. This effect outweighs the decrease in cold spells, increasing the intensity of extreme frosts occurring after the growing season has started by approximately -2°C (range: -3.3°C to -0.6°C).","ai_generated":true,"unit":"wwatt-000111#insight-2","date_modified":"2026-10-23"},{"text":"The April 2021 frost event was made 60% more likely [20%-120%] due to human-caused climate change, as climate model ensembles simulate a cooling of growing-period annual temperature minima of 0.5°C [0°C to 1°C] since the pre-industrial era.","ai_generated":true,"unit":"wwatt-000111#insight-3","date_modified":"2026-10-23"},{"text":"The April 2021 event caused massive agricultural damage in France, with the National Federation of Farmers' Unions (FNSEA) estimating combined losses in wine and arboriculture sectors exceeding 4 billion euros, and some regions like Rhône reporting over 80% harvest destruction.","ai_generated":true,"unit":"wwatt-000111#insight-4","date_modified":"2026-10-23"},{"text":"Climate models generally underestimate the observed trends in growing-period frost intensities, although they accurately simulate the decreasing intensity of the lowest overall spring temperatures.","ai_generated":true,"unit":"wwatt-000111#insight-5","date_modified":"2026-10-23"},{"text":"In a climate with 2°C of global warming relative to pre-industrial levels, the probability of an exceptional growing-period frost event similar to 2021 is projected to increase significantly by approximately 40% [20%-60%].","ai_generated":true,"unit":"wwatt-000111#insight-6","date_modified":"2026-10-23"}],"climate_tags":["anthropogenic climate change","extreme event attribution"],"geography_discussed":["Europe","Rhône","Burgundy","Champagne","Loire Valley"],"frame_perspective":[],"analysis_type":["attribution study","trend analysis","climate projection"]},{"id":"wwatt-000118","url":"https://climateinsightsdirectory.org/document/wwatt-000118","title":"Climate change likely increased extreme monsoon rainfall, flooding highly vulnerable communities in Pakistan","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/Pakistan-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 2022 Pakistan floods, focusing on two event definitions: 60-day maximum rainfall in the Indus basin and 5-day maximum rainfall in Sindh and Balochistan. While observational trends suggest that a 1.2°C warmer climate increased 5-day rainfall intensity by about 75% and 60-day rainfall by 50%, the authors refrain from a precise quantitative attribution due to high rainfall variability and climate model limitations. However, models project that a further 0.8°C of warming (reaching 2°C above pre-industrial levels) will significantly increase the intensity and probability of short-duration extreme rainfall. The study also highlights that the disaster's scale was exacerbated by outdated river management, high poverty, and gender-based vulnerabilities.","ai_generated":true,"unit":"wwatt-000118#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2022 flooding was caused by extreme monsoon rainfall, with particularly heavy spikes in August affecting the provinces of Sindh and Balochistan.","ai_generated":true,"unit":"wwatt-000118#insight-1","date_modified":"2026-10-23"},{"text":"The return time for both the 60-day maximum rainfall in the Indus basin and the 5-day maximum rainfall in Sindh and Balochistan is approximately 1 in 100 years in the current climate.","ai_generated":true,"unit":"wwatt-000118#insight-2","date_modified":"2026-10-23"},{"text":"Observational data indicates that 5-day maximum rainfall in Sindh and Balochistan is approximately 75% more intense, and 60-day rainfall across the Indus basin is about 50% more intense, than they would have been without 1.2°C of warming.","ai_generated":true,"unit":"wwatt-000118#insight-3","date_modified":"2026-10-23"},{"text":"A precise quantification of the role of human-induced climate change is deemed infeasible because state-of-the-art climate models struggle to simulate the specific rainfall characteristics of the region and show smaller changes than observed trends.","ai_generated":true,"unit":"wwatt-000118#insight-4","date_modified":"2026-10-23"},{"text":"Projections for a climate 2°C warmer than pre-industrial levels suggest a statistically significant increase in the intensity (by 13%) and probability (by 40%) of 5-day extreme rainfall events.","ai_generated":true,"unit":"wwatt-000118#insight-5","date_modified":"2026-10-23"},{"text":"The 2022 event was influenced by a combination of a La Niña event and a negative Indian Ocean Dipole (IOD), which provided additional moisture to monsoon depressions.","ai_generated":true,"unit":"wwatt-000118#insight-6","date_modified":"2026-10-23"},{"text":"The disaster's impact was intensified by non-climatic factors, including the proximity of settlements to flood plains, inadequate infrastructure, an outdated river management system, and high poverty rates.","ai_generated":true,"unit":"wwatt-000118#insight-7","date_modified":"2026-10-23"},{"text":"Women in Pakistan face higher vulnerability during floods due to limited mobility, traditional caretaking roles, and gender segregation norms such as purdah.","ai_generated":true,"unit":"wwatt-000118#insight-8","date_modified":"2026-10-23"},{"text":"The 2022 floods caused extensive damage, including the destruction of 1.7 million homes, 6,700 km of road, 269 bridges, and 1,460 health facilities, with estimated damages exceeding US$30 billion.","ai_generated":true,"unit":"wwatt-000118#insight-9","date_modified":"2026-10-23"}],"climate_tags":["flood","extreme event attribution","La Niña","climate change adaptation","disaster risk reduction","climate justice","infrastructure resilience"],"geography_discussed":["Khyber Pakhtunkhwa","India","Indonesia"],"frame_perspective":[],"analysis_type":["attribution study","vulnerability assessment","climate projection"]}]}