{"query_echo":{"q":"","filters":{"analysis_type":["predictive modeling"]},"warnings":[]},"total":{"value":49,"relation":"eq"},"page":3,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=predictive+modeling&page=3","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":"bc3res-000054","url":"https://climateinsightsdirectory.org/document/bc3res-000054","title":"The Health Impacts of Climate Change: A Study of Cholera in Tanzania","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2010-01","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/201001110143311052083638.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study establishes a significant positive correlation between temperature increases and cholera cases in Tanzania, predicting that a 1 degree Celsius rise in annual mean temperature increases the risk ratio for cholera by 23 to 51 percent. By 2030, the total economic cost of additional cholera cases and deaths—including treatment, productivity loss, and the value of statistical life—is projected to range from 1.4 to 7.8 percent of GDP. The authors argue that the costs of these climate-driven health impacts largely exceed the costs of preventive measures, such as household chlorination and improved water sanitation.","ai_generated":true,"unit":"bc3res-000054#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant positive relationship between temperature and cholera cases in Tanzania; a 1 degree Celsius increase in annual mean temperature is predicted to increase the initial risk ratio for cholera by 23 to 51 percent.","ai_generated":true,"unit":"bc3res-000054#insight-1","date_modified":"2026-10-23"},{"text":"By 2030, the total economic costs of cholera attributed to climate change, which include reactive treatment costs, lost productivity, and the value of statistical life, are estimated to be between 1.4 and 7.8 percent of Tanzania's GDP.","ai_generated":true,"unit":"bc3res-000054#insight-2","date_modified":"2026-10-23"},{"text":"The cost of reactive adaptation (treatment) for additional cholera cases attributed to climate change by 2030 is projected to be between 0.02 and 0.09 percent of GDP.","ai_generated":true,"unit":"bc3res-000054#insight-3","date_modified":"2026-10-23"},{"text":"The economic burden of mortality is the largest component of the total cost; the share of GDP attributed to residual deaths ranges from 1.38 percent in the lower 1 degree Celsius scenario to 7.68 percent in the upper 2 degree Celsius scenario.","ai_generated":true,"unit":"bc3res-000054#insight-4","date_modified":"2026-10-23"},{"text":"Preventive measures, such as household chlorination and water source improvements, are found to be more cost-effective than reactive adaptation, with the costs of additional cholera impacts by 2030 largely exceeding the costs of these preventive measures.","ai_generated":true,"unit":"bc3res-000054#insight-5","date_modified":"2026-10-23"},{"text":"While climate variables significantly impact the number of cholera cases, the case fatality rate is more closely linked to socioeconomic factors, specifically increasing as income and access to safe water decrease.","ai_generated":true,"unit":"bc3res-000054#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change","effects of climate change on human health","gross domestic product"],"geography_discussed":["sub-Saharan Africa","Peru","Fiji","South Africa","Zambia"],"frame_perspective":[],"analysis_type":["econometric analysis","predictive modeling","cost-benefit analysis"]},{"id":"ucs-001006","url":"https://climateinsightsdirectory.org/document/ucs-001006","title":"Rolling Smokestacks","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2000-10","source_url":"https://www.ucs.org/sites/default/files/2019-09/rolling_smokestacks.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that while diesel trucks and buses are essential for commerce, they are disproportionate sources of smog, soot, and greenhouse gases. It evaluates a transition from conventional diesel to a 'green truck path' involving advanced exhaust controls, natural gas, hybrids, and fuel cells. The authors model a 2030 scenario where aggressive policies could reduce pollutant emissions by over 90% and global warming pollutants by 26%, while maintaining current oil consumption levels despite doubling truck travel.","ai_generated":true,"unit":"ucs-001006#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Diesel trucks and buses contribute disproportionately to highway pollution; despite accounting for under 6% of miles driven, they produce one-quarter of smog-causing pollution and over half of the soot from all highway vehicles.","ai_generated":true,"unit":"ucs-001006#insight-1","date_modified":"2026-10-23"},{"text":"Diesel exhaust is linked to significant public health risks, including respiratory diseases and cancer. In the Los Angeles region, diesel particles are estimated to account for 71% of the total cancer risk.","ai_generated":true,"unit":"ucs-001006#insight-2","date_modified":"2026-10-23"},{"text":"Heavy trucks contribute approximately 6% of total US carbon emissions, releasing nearly 400 million metric tons of heat-trapping gases annually.","ai_generated":true,"unit":"ucs-001006#insight-3","date_modified":"2026-10-23"},{"text":"To meet proposed 2007 EPA standards, diesel trucks will require a combination of engine improvements, exhaust-control technologies (such as particulate traps and selective catalytic reduction), and a 97% reduction in diesel fuel sulfur levels to a maximum of 15 ppm.","ai_generated":true,"unit":"ucs-001006#insight-4","date_modified":"2026-10-23"},{"text":"Natural gas vehicles are currently the cleanest commercial option, with real-world particulate emissions 80% to 90% lower than diesel and smog-forming emissions reduced by as much as 40%.","ai_generated":true,"unit":"ucs-001006#insight-5","date_modified":"2026-10-23"},{"text":"Hydrogen fuel cells are identified as the ultimate long-term solution for urban transit and delivery vehicles because they are zero-emission at the tailpipe and can be twice as efficient as diesel vehicles.","ai_generated":true,"unit":"ucs-001006#insight-6","date_modified":"2026-10-23"},{"text":"The report's 2030 'green scenario' estimates that aggressive policies could prevent the emission of 250,000 tons of toxic soot, reduce global warming pollutants by 26%, and cut oil use by 45% compared to a business-as-usual case.","ai_generated":true,"unit":"ucs-001006#insight-7","date_modified":"2026-10-23"},{"text":"The effectiveness of new pollution controls is threatened by 'defeat devices' and natural deterioration. If future trucks deteriorate at twice historic rates, particulate emission reductions by 2030 would drop from over 90% to only 56%.","ai_generated":true,"unit":"ucs-001006#insight-8","date_modified":"2026-10-23"}],"climate_tags":["particulates","greenhouse gas emissions","climate change","hybrid electric vehicle","fuel cell","fuel efficiency","air pollution","climate finance","transport policy"],"geography_discussed":["California","Los Angeles"],"frame_perspective":[],"analysis_type":["environmental impact assessment","technology evaluation","policy analysis","predictive modeling"]},{"id":"cdkn-000817","url":"https://climateinsightsdirectory.org/document/cdkn-000817","title":"Economic Assessment of the Impacts of Climate Change in Uganda","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/Uganda_CC-Economics_FACT-SHEET_Energy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document analyzes Uganda's energy sector using the LEAP model, predicting a significant biomass deficit by the 2020s. It estimates that climate change could further reduce domestic wood availability by 5-10% by 2050, requiring $5-11 billion in additional LPG expenditures. While hydropower potential may decrease by 26% by 2050, current government expansion plans are deemed sufficient if implemented. The report recommends prioritizing the transition from traditional biomass to LPG and modern energy, noting that the current national adaptation strategy lacks these specific components.","ai_generated":true,"unit":"cdkn-000817#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Uganda's energy supply is currently dominated by traditional biomass, but a significant deficit is projected starting in the 2020s, making a 'Business as Usual' growth scenario unsustainable.","ai_generated":true,"unit":"cdkn-000817#insight-1","date_modified":"2026-10-23"},{"text":"To address the biomass deficit, increasing the use of electricity and LPG for households is feasible, though importing the required LPG over the next 40 years would cost approximately $1.7 billion ($42 million annually).","ai_generated":true,"unit":"cdkn-000817#insight-2","date_modified":"2026-10-23"}],"climate_tags":["biomass","hydropower","energy efficiency","greenhouse gas emissions","energy transition","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["economic assessment","predictive modeling"]},{"id":"cliint-000010","url":"https://climateinsightsdirectory.org/document/cliint-000010","title":"Energy Scenarios for Various CO2 Limits","publisher":{"name":"Center for Climate Integrity","organization":"center-for-climate-integrity"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://climateintegrity.org/uploads/deception/1979-Exxon-FerrallMemo.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study evaluates three energy scenarios (A, B, and C) to determine the fuel mixes required to limit atmospheric CO2 concentrations. Scenario A assumes unlimited CO2 increase, while Scenario B limits the increase to 75% and Scenario C limits it to 440 ppm. The analysis highlights that achieving these limits would require a massive shift toward non-fossil fuels, such as nuclear, solar, and biomass, as coal and shale oil are identified as high-emission sources. The document warns that CO2 concentrations reaching 500 ppm would likely cause undesirable climatic changes, whereas 440 ppm is considered a relatively safe level.","ai_generated":true,"unit":"cliint-000010#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study identifies that feedback mechanisms involving carbon exchange between the terrestrial biosphere and oceans are so significant that small changes could either drastically offset or increase the temperature impact of fossil fuel combustion.","ai_generated":true,"unit":"cliint-000010#insight-1","date_modified":"2026-10-23"},{"text":"Coal and shale oil, as well as synthetic fuels derived from them, are characterized by high CO2-to-energy ratios. Shale oil is not predicted to be a major future energy source due to its high emissions and the environmental damage caused by its mining.","ai_generated":true,"unit":"cliint-000010#insight-2","date_modified":"2026-10-23"},{"text":"Under Scenario B, which limits CO2 increase to 75%, atmospheric concentrations would reach 400 ppm around 2010, causing noticeable temperature changes, and near 500 ppm around 2080, which would likely result in undesirable climatic changes in many regions.","ai_generated":true,"unit":"cliint-000010#insight-3","date_modified":"2026-10-23"},{"text":"Scenario C limits atmospheric CO2 to 440 ppm, which is viewed as a relatively safe level where global warming and precipitation changes would be noticeable but not extreme. To achieve this, non-fossil fuels must account for 50% of worldwide energy supply by 2010.","ai_generated":true,"unit":"cliint-000010#insight-4","date_modified":"2026-10-23"},{"text":"The transition to non-fossil fuels required to meet CO2 limits is described as a 'gigantic undertaking.' For Scenario C, the required non-fossil fuel input by 2025 (110 billion B.O.E.) is more than double the input predicted in the unlimited emissions scenario (45 billion B.O.E.).","ai_generated":true,"unit":"cliint-000010#insight-5","date_modified":"2026-10-23"},{"text":"To maintain the 440 ppm limit in Scenario C, yearly CO2 emissions would need to peak in 1995 at 2.0 ppm and decrease to 0.04 ppm by 2100. Without CO2 removal or disposal methods, this would limit coal combustion to only one billion B.O.E. in 2100, representing less than 1% of total world energy demand.","ai_generated":true,"unit":"cliint-000010#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide","coal","natural gas","petroleum","nuclear power","biomass","solar energy","geothermal energy","climate change"],"geography_discussed":["United States","Soviet Union"],"frame_perspective":[],"analysis_type":["scenario analysis","predictive modeling"]},{"id":"climcent-000335","url":"https://climateinsightsdirectory.org/document/climcent-000335","title":"PICTURING OUR FUTURE","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://assets.ctfassets.net/cxgxgstp8r5d/3qiqkWM5gqBsUP1D0oUtpH/fe444c3a49604617fa2ea17a8ba97b8c/PoF_-_Summary_Brief_2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Research indicates that under a 3°C warming scenario, approximately 800 million people—about 10% of the global population—would live on land below projected multi-century high tide lines. The risk is most concentrated in Asia, with China, India, Vietnam, and Indonesia among the most endangered nations. Limiting warming to 1.5°C through the Paris Agreement could reduce the affected population to 510 million, potentially saving roughly 50 major cities from needing unprecedented defenses or abandonment.","ai_generated":true,"unit":"climcent-000335#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under a 3°C warming scenario, the high tide line is projected to encroach upon land occupied by over 800 million people, representing roughly 10% of the current global population.","ai_generated":true,"unit":"climcent-000335#insight-1","date_modified":"2026-10-23"},{"text":"Asia faces the highest overall exposure; eight of the ten most at-risk large nations (those with at least 600 million people exposed at 3°C) are Asian. China, India, Vietnam, and Indonesia are among the top five most at-risk countries for long-term rise and were also the top five for new coal-burning capacity additions between 2015 and 2019.","ai_generated":true,"unit":"climcent-000335#insight-2","date_modified":"2026-10-23"},{"text":"Limiting global warming to 1.5°C, in line with the Paris Agreement, would result in a median multi-century sea level rise of 2.9 meters, affecting 510 million people, compared to the 810 million affected at 3°C.","ai_generated":true,"unit":"climcent-000335#insight-3","date_modified":"2026-10-23"},{"text":"Small island nations face extreme vulnerability; under 3°C of warming, more than 90% of the current populations of the Bahamas, Cayman Islands, Cocos Islands, Kiribati, Maldives, Marshall Islands, Tokelau, and Tuvalu would live on land below the projected high tide line.","ai_generated":true,"unit":"climcent-000335#insight-4","date_modified":"2026-10-23"},{"text":"Current carbon emissions have already committed the planet to a sea level rise of approximately 1.9 meters over coming centuries, even if net global emissions ceased after 2020, which would affect 5% of the world's population.","ai_generated":true,"unit":"climcent-000335#insight-5","date_modified":"2026-10-23"}],"climate_tags":["sea level rise","coastal erosion","Paris Agreement","carbon dioxide emissions","climate change adaptation"],"geography_discussed":["Asia","People's Republic of China","India","Vietnam","Indonesia","Cocos (Keeling) Islands","Maldives","Marshall Islands","Kiribati","Cayman Islands","Tokelau","Tuvalu","The Bahamas","Bangkok","Sapporo","Dhaka","Glasgow"],"frame_perspective":[],"analysis_type":["predictive modeling","risk assessment"]},{"id":"issafri-000860","url":"https://climateinsightsdirectory.org/document/issafri-000860","title":"Knowledge empowers Africa: The benefits of increased investment in education","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"policy brief","language":"en","date_published":null,"source_url":"https://issafrica.org/research/policy-brief/knowledge-empowers-africa-the-benefits-of-increased-investment-in-education","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document presents a positive scenario for Africa based on the education development rates of the continent's most successful countries. If these rates were applied universally, Africa would achieve universal primary education by 2030 and universal basic education by 2035. By 2050, this trajectory would result in 85% upper-secondary enrolment, a reduction of 3.5 million malnourished children, a decrease of 60 million people living on less than US$ 1.25 per day, and a nearly 8% reduction in the chance of state failure. Economically, this would add US$ 2.5 trillion to Africa's GDP by 2050, exceeding the cumulative cost of education spending by more than five times.","ai_generated":true,"unit":"issafri-000860#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Applying the development rates of best-practice African countries to the entire continent would lead to universal primary education by 2030 and universal basic education by 2035, with upper-secondary enrolment reaching 85 per cent by 2050.","ai_generated":true,"unit":"issafri-000860#insight-1","date_modified":"2026-10-23"},{"text":"The adoption of these aggressive education development rates would significantly improve human development and stability by 2050, reducing the number of malnourished children by 3.5 million, the number of people living on less than US$ 1.25 per day by 60 million, and the probability of state failure by nearly 8 per cent.","ai_generated":true,"unit":"issafri-000860#insight-2","date_modified":"2026-10-23"},{"text":"Increased investment in education following best-practice rates would add US$ 2.5 trillion to Africa's GDP through 2050, a figure that is more than five times the cumulative increase in education spending for that period.","ai_generated":true,"unit":"issafri-000860#insight-3","date_modified":"2026-10-23"}],"climate_tags":["poverty reduction","gross domestic product"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["scenario analysis","predictive modeling"]},{"id":"wri-000134","url":"https://climateinsightsdirectory.org/document/wri-000134","title":"Predicting Future Forest Loss in the Democratic Republic of the Congo’s CARPE Landscapes","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/predicting-future-forest-loss-democratic-republic-congos-carpe-landscapes","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study identifies biophysical conditions, accessibility, and land management as the primary drivers of forest loss in the Democratic Republic of the Congo's CARPE landscapes. Under a business-as-usual scenario, it predicts a loss of approximately 332,200 hectares of forest and 205 million metric tons of CO2 emissions between 2015 and 2025, with the majority of loss occurring in the Ituri-Epulu-Aru and Lac Télé-Lac Tumba landscapes.","ai_generated":true,"unit":"wri-000134#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The primary drivers of past forest loss across the six CARPE landscapes are biophysical conditions (rainfall and topography), accessibility (distance to rivers, roads, settlements, conflict, and shifting cultivation areas), and land management status (logging concessions and protected areas).","ai_generated":true,"unit":"wri-000134#insight-1","date_modified":"2026-10-23"},{"text":"Under a business-as-usual scenario from 2015 to 2025, approximately 332,200 hectares of forest are projected to be lost, resulting in 205 million metric tons of CO2 emissions, which averages to 20.5 million metric tons per year.","ai_generated":true,"unit":"wri-000134#insight-2","date_modified":"2026-10-23"},{"text":"The majority of projected forest loss (59 percent) is concentrated in two areas: the Ituri-Epulu-Aru Landscape (34 percent) in eastern Orientale Province, and the Lac Télé-Lac Tumba Landscape (25 percent) in Bandundu and Équateur Provinces.","ai_generated":true,"unit":"wri-000134#insight-3","date_modified":"2026-10-23"},{"text":"Preventing all future deforestation in CARPE's forest landscapes could provide climate benefits up to 68 times higher than the carbon sequestration goal of 3 million metric tons of CO2 by 2025 set in the DRC's nationally determined contribution (NDC) under the Paris Agreement.","ai_generated":true,"unit":"wri-000134#insight-4","date_modified":"2026-10-23"},{"text":"Reducing the projected rate of future forest loss by 10 percent would result in emission reductions of 20 million metric tons of CO2 by 2025.","ai_generated":true,"unit":"wri-000134#insight-5","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","carbon sequestration","Nationally Determined Contributions","Paris Agreement","climate change mitigation","afforestation","reforestation"],"geography_discussed":["Central Africa","Orientale Province","Équateur","Bandundu Province"],"frame_perspective":[],"analysis_type":["predictive modeling","spatial analysis"]},{"id":"wri-000213","url":"https://climateinsightsdirectory.org/document/wri-000213","title":"A Framework for Wildfire Prediction and Loss Assessment: Potential Application in the Financial Sector—Case Study in Yunnan","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/framework-wildfire-prediction-and-loss-assessment-potential-application-financial-sector","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper presents a wildfire prediction and loss assessment framework designed for the financial sector, using a case study of five crops in Yunnan Province. It finds that historical annual losses for these crops ranged from US$135.8 million to $254.8 million between 2011 and 2020, with extreme events causing 15 to 30 percent of annual losses. Future projections indicate a shift in the peak Fire Weather Index (FWI) from March/April to February/March, with the SSP2-45 scenario showing the highest mean FWI. The study notes that financial institutions in Yunnan lack the capacity to manage these risks, though insurance companies and banks show interest in integrating physical climate risk analysis for parametric insurance and credit risk management.","ai_generated":true,"unit":"wri-000213#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2011 and 2020, annual historical losses from wildfires for five target agricultural crops in Yunnan Province were estimated between US$135.8 million and $254.8 million. Extreme wildfire events are particularly impactful, accounting for 15 to 30 percent of these annual losses and posing significant threats to smallholder farmers.","ai_generated":true,"unit":"wri-000213#insight-1","date_modified":"2026-10-23"},{"text":"Future climate projections for Yunnan Province indicate a shift in the peak regional mean Fire Weather Index (FWI) from March and April to February and March. Among the tested scenarios, Shared Socioeconomic Pathway (SSP)2-45 is projected to have the highest mean FWI, followed by SSP1-26, SSP3-70, and SSP5-85, all of which exceed observed values.","ai_generated":true,"unit":"wri-000213#insight-2","date_modified":"2026-10-23"},{"text":"Financial institutions in Yunnan currently face challenges regarding their readiness and capacity to manage climate-induced risks. While banks seek climate risk analysis tools for credit risk management and insurance companies are interested in developing catastrophe and parametric insurance products, stress testing remains resource intensive.","ai_generated":true,"unit":"wri-000213#insight-3","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","remote sensing","climate change scenario","agriculture","financial sector"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","scenario analysis","predictive modeling"]},{"id":"wri-000891","url":"https://climateinsightsdirectory.org/document/wri-000891","title":"Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators","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/aqueduct-40-updated-decision-relevant-global-water-risk-indicators","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document introduces Aqueduct 4.0, a framework by the World Resources Institute that translates complex hydrological data into 13 water risk indicators covering quantity, quality, and reputational concerns. Using the PCR-GLOBWB 2 model and CMIP6 climate forcings, the framework projects water conditions for 2030, 2050, and 2080 under three scenarios. Findings indicate that 25 countries are currently exposed to extremely high annual water stress, and by 2050, $70 trillion in GDP (31% of global GDP) will be exposed to high water stress, with India, Mexico, Egypt, and Turkey accounting for over half of that figure.","ai_generated":true,"unit":"wri-000891#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Aqueduct 4.0 framework utilizes 13 water risk indicators across quantity, quality, and reputational categories, employing the PCR-GLOBWB 2 global hydrological model for five of these indicators to generate sub-basin data on water supply and use.","ai_generated":true,"unit":"wri-000891#insight-1","date_modified":"2026-10-23"},{"text":"Future water conditions are projected for the years 2030, 2050, and 2080 based on three scenarios: optimistic (SSP 1 RCP 2.6), business-as-usual (SSP 3 RCP 7.0), and pessimistic (SSP 5 RCP 8.5), using CMIP6 climate forcings.","ai_generated":true,"unit":"wri-000891#insight-2","date_modified":"2026-10-23"},{"text":"Currently, 25 countries, representing one-quarter of the global population, face extremely high annual water stress. Approximately 4 billion people (half the world's population) experience water stress for at least one month per year, a figure projected to reach nearly 60% by 2050.","ai_generated":true,"unit":"wri-000891#insight-3","date_modified":"2026-10-23"},{"text":"Economic exposure to high water stress is projected to increase from $15 trillion (24% of global GDP) in 2010 to $70 trillion (31% of global GDP) by 2050, with India, Mexico, Egypt, and Turkey representing more than 50% of this exposed GDP.","ai_generated":true,"unit":"wri-000891#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water quality","water-supply management","just transition"],"geography_discussed":["India","Mexico","Egypt","Turkey"],"frame_perspective":[],"analysis_type":["quantitative analysis","predictive modeling"]}]}