{"query_echo":{"q":"","filters":{"climate_tags":["water-supply management"]},"warnings":[]},"total":{"value":71,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=water-supply+management","next":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=water-supply+management&page=2","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":"issafri-000283","url":"https://climateinsightsdirectory.org/document/issafri-000283","title":"Mauritius Development Futures: Current Path","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2026-05-31","source_url":"https://futures.issafrica.org/geographic/guide.pdf?geography=MU&topic=current-path","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report forecasts that Mauritius will maintain steady economic growth and a high income per capita relative to its African peers, while facing challenges from an ageing population and a high dependence on energy imports. It projects a decline in extreme poverty and a gradual increase in carbon emissions as the economy expands, despite the country's high readiness to respond to climate change.","ai_generated":true,"unit":"issafri-000283#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Mauritius is experiencing a demographic shift toward an older population, with those aged over 65 expected to make up an additional 10 percentage points of the total population by 2043. This trend, combined with a low total fertility rate of 1.4 births per woman in 2019, is projected to result in a population decrease of 22,000 people by 2043 compared to 2019 levels.","ai_generated":true,"unit":"issafri-000283#insight-1","date_modified":"2026-10-23"},{"text":"The economy is projected to grow steadily, with GDP increasing from US$16.7 billion in 2019 to US$27.3 billion by 2043. GDP per capita is forecast to reach US$29,114 by 2043, maintaining Mauritius' position as one of the highest income per capita countries in Africa.","ai_generated":true,"unit":"issafri-000283#insight-2","date_modified":"2026-10-23"},{"text":"The Mauritian economy is dominated by the services sector, which accounted for 69.7% of GDP in 2019. This shift toward services has led to a skilled labour shortage and increased wage income inequality, particularly affecting women due to low labour force participation.","ai_generated":true,"unit":"issafri-000283#insight-3","date_modified":"2026-10-23"},{"text":"Extreme poverty, measured at the US$5.50 per person per day line for upper middle-income countries, was 7.7% in 2019 and is projected to be eliminated by 2036, eventually falling to 1.2% by 2043.","ai_generated":true,"unit":"issafri-000283#insight-4","date_modified":"2026-10-23"},{"text":"Mauritius is almost entirely dependent on energy imports, which met 97% of demand in 2019. Local production is minimal and consists of hydro and other renewables, with the latter primarily derived from sugar cane bagasse.","ai_generated":true,"unit":"issafri-000283#insight-5","date_modified":"2026-10-23"},{"text":"Carbon emissions are projected to rise from 1.3 million tons in 2019 to 1.8 million tons by 2043, driven by economic and manufacturing growth. Despite this, the country is ranked high for readiness and low for vulnerability in the ND-GAIN Country Index regarding climate change resilience.","ai_generated":true,"unit":"issafri-000283#insight-6","date_modified":"2026-10-23"},{"text":"The country faces significant climate risks from cyclones; over the last 40 years, 13 cyclones caused damages exceeding US$400 million. Forecasts indicate that while rainy days are decreasing, storms are more frequently reaching cyclone strength.","ai_generated":true,"unit":"issafri-000283#insight-7","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","renewable energy","hydropower","climate resilience","tropical cyclone","water-supply management","agriculture"],"geography_discussed":["Africa","Madagascar","Port Louis"],"frame_perspective":[],"analysis_type":["forecasting","economic analysis","demographic analysis"]},{"id":"climcent-000040","url":"https://climateinsightsdirectory.org/document/climcent-000040","title":"Snowfall Trends","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2026-04-01","source_url":"https://www.climatecentral.org/climate-matters/western-snowpack-drought-2026","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"As of March 30, 2026, the western U.S. is experiencing a historic snow drought, with snow water equivalent at its lowest record for April 1 and 65% below the 1991-2020 normal. This condition is attributed to a record-warm winter and a record-shattering March heat wave fueled by heat-trapping pollution. Long-term trends from 1955 to 2023 show an 18% average decline in April 1 snowpack across 652 monitoring stations, with snow droughts growing 28% longer between 1980 and 2018. These trends increase risks for water supplies, hydropower, and wildfires, with projections suggesting a further 25% decline in snow water equivalent by 2050.","ai_generated":true,"unit":"climcent-000040#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of March 30, 2026, the snow water equivalent for the western U.S. reached its lowest record for April 1, measuring 65% below the 1991-2020 normal.","ai_generated":true,"unit":"climcent-000040#insight-1","date_modified":"2026-10-23"},{"text":"Record-low snow water equivalents were observed as of March 30, 2026, in Arizona, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah, and Wyoming, while California experienced near-record low levels.","ai_generated":true,"unit":"climcent-000040#insight-2","date_modified":"2026-10-23"},{"text":"Long-term data from 1955 to 2023 indicates that April 1 snowpack across the western U.S. declined by an average of 18% across 652 monitoring stations.","ai_generated":true,"unit":"climcent-000040#insight-3","date_modified":"2026-10-23"},{"text":"The western U.S. is identified as a global hot spot for snow drought, with region-wide snow droughts increasing in length by 28% between 1980 and 2018.","ai_generated":true,"unit":"climcent-000040#insight-4","date_modified":"2026-10-23"},{"text":"Future projections indicate a further 25% decline in snow water equivalent across the western U.S. by 2050.","ai_generated":true,"unit":"climcent-000040#insight-5","date_modified":"2026-10-23"}],"climate_tags":["water-supply management","climate change","hydropower"],"geography_discussed":["Arizona","Colorado","Idaho","Nevada","New Mexico","Oregon","Utah","Wyoming","California","Colorado River Basin"],"frame_perspective":[],"analysis_type":["trend analysis","current state assessment"]},{"id":"climcent-000096","url":"https://climateinsightsdirectory.org/document/climcent-000096","title":"Climate Central’s Monthly Briefing Highlights from February 2026","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"briefing","language":"en","date_published":"2026-02","source_url":"https://www.climatecentral.org/climate-briefings/february-2026","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"February 2026 was the fifth-warmest month globally on record, with the contiguous U.S. experiencing its second-warmest winter in 132 years. A critical 'snow drought' affected the western U.S., where snow-covered areas in January were only 34% of normal, threatening water supplies for agriculture and energy. Climate Central's analysis indicates that human-driven climate change significantly influenced winter temperatures, particularly in the Southwest, and is the primary cause of spring warming in 98% of 241 examined U.S. cities.","ai_generated":true,"unit":"climcent-000096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"February 2026 was the fifth-warmest month on record globally for combined land and ocean temperatures, with ocean areas specifically ranking as the second-warmest on record for that month.","ai_generated":true,"unit":"climcent-000096#insight-1","date_modified":"2026-10-23"},{"text":"The contiguous United States experienced its second-warmest winter on record for the period of December, January, and February 2025-2026, with nine states recording their warmest winter ever.","ai_generated":true,"unit":"climcent-000096#insight-2","date_modified":"2026-10-23"},{"text":"A historic snow drought occurred across the western United States, with January 2026 snow-covered areas reaching a record low of 34% of normal and snow cover duration by the end of February being 63% below normal.","ai_generated":true,"unit":"climcent-000096#insight-3","date_modified":"2026-10-23"},{"text":"Water security in the western U.S. is threatened as snow water equivalent (SWE) is below 50% of the 1991-2020 normal in most watershed basins from Oregon to New Mexico, with record lows in Colorado and near-record lows in Arizona, New Mexico, Oregon, and Utah.","ai_generated":true,"unit":"climcent-000096#insight-4","date_modified":"2026-10-23"},{"text":"Human-driven climate change is identified as the primary cause of spring warming in 98% of 241 U.S. cities analyzed between 1970 and 2025.","ai_generated":true,"unit":"climcent-000096#insight-5","date_modified":"2026-10-23"},{"text":"Climate Central's Climate Shift Index (CSI) analysis shows that more than one in six people globally experienced temperatures with a strong climate change influence every day from December 2025 to February 2026.","ai_generated":true,"unit":"climcent-000096#insight-6","date_modified":"2026-10-23"},{"text":"Forecasts suggest global temperatures will likely rise well above 1.5°C above the 1850-1900 preindustrial baseline by the end of 2026, potentially influenced by the development of El Niño conditions.","ai_generated":true,"unit":"climcent-000096#insight-7","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","drought","water-supply management"],"geography_discussed":["Arizona","Colorado","New Mexico","Oregon","Utah","Puerto Rico","Colorado River Basin","Phoenix","Salt Lake City","Tucson"],"frame_perspective":[],"analysis_type":["climate monitoring","attribution analysis","seasonal forecasting"]},{"id":"clipolin-000976","url":"https://climateinsightsdirectory.org/document/clipolin-000976","title":"When the River Runs Dry: How Amazon Deforestation Threatens the Brazilian Economy","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2025-10-10","source_url":"https://www.climatepolicyinitiative.org/publication/when-the-river-runs-dry-how-amazon-deforestation-threatens-the-brazilian-economy/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that the Amazon forest is a strategic economic asset for Brazil because it regulates the 'flying rivers' that distribute rainfall across the country. Deforestation of approximately 20% of the biome has already led to significant financial losses in the hydroelectric sector and increases vulnerability in agriculture, urban water systems, and logistics. The authors conclude that protecting the forest is a national strategic imperative to ensure economic stability and development.","ai_generated":true,"unit":"clipolin-000976#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Amazon deforestation directly reduces hydroelectric power generation potential and revenue. The Teles Pires plant loses an average of US$ 21 million annually, while the Itaipu and Belo Monte plants together lost the potential to generate 3,700 GWh per year, representing annual financial losses exceeding US$ 200 million.","ai_generated":true,"unit":"clipolin-000976#insight-1","date_modified":"2026-10-23"},{"text":"Brazilian agriculture is highly vulnerable to deforestation-induced rainfall changes because only 13% of farmland is irrigated. Between 2013 and 2022, droughts caused estimated losses of US$ 34 billion in crops and US$ 12 billion in livestock.","ai_generated":true,"unit":"clipolin-000976#insight-2","date_modified":"2026-10-23"},{"text":"Deforestation compromises the forest's ability to recharge the atmosphere, increasing the risk and impact of wildfires. In 2024, wildfires burned over 30.8 million hectares, resulting in production losses totaling US$ 2.7 billion, including US$ 1.5 billion in livestock and pasture and US$ 400 million in sugarcane.","ai_generated":true,"unit":"clipolin-000976#insight-3","date_modified":"2026-10-23"},{"text":"Droughts linked to the disruption of flying rivers negatively impact river transport and logistics. In 2023, the Amazon drought reduced grain transport volume by approximately 40%, and in 2024, Hidrovias do Brasil suffered estimated losses of US$ 114 million due to drought in the North and South corridors.","ai_generated":true,"unit":"clipolin-000976#insight-4","date_modified":"2026-10-23"},{"text":"Urban water supply systems, such as the Cantareira system serving 9 million residents in São Paulo, are located along flying river trajectories and have faced prolonged drought conditions since 2014, leading to recurring supply crises.","ai_generated":true,"unit":"clipolin-000976#insight-5","date_modified":"2026-10-23"},{"text":"Projections suggest that by 2050, between 10% and 47% of the Amazon forest will be exposed to disturbances that could trigger forest transitions and undermine ecological integrity.","ai_generated":true,"unit":"clipolin-000976#insight-6","date_modified":"2026-10-23"}],"climate_tags":["hydroelectricity","agriculture","water-supply management","wildfire","ecosystem service","climate resilience","greenhouse gas emissions"],"geography_discussed":["São Paulo","Rondônia"],"frame_perspective":[],"analysis_type":["economic impact assessment","environmental risk analysis"]},{"id":"sei-000225","url":"https://climateinsightsdirectory.org/document/sei-000225","title":"Cascading hydroclimatic hazard impacts","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2025-09-26","source_url":"https://www.sei.org/publications/cascading-hydroclimatic-hazard-impacts/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study uses an integrated approach combining hydroclimatic hazard impact and supply-driven input-output models to estimate damages to Sweden's food, electricity, and water supply. Between 2005 and 2022, combined hydroclimatic hazards caused EUR 8.4 billion in economic losses across the agriculture, electricity, and insurance sectors, with floods contributing the highest share of damage.","ai_generated":true,"unit":"sei-000225#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2005 and 2022, combined hydroclimatic hazards caused a total of EUR 8.4 billion in economic damage to the electricity, insurance, and agriculture sectors.","ai_generated":true,"unit":"sei-000225#insight-1","date_modified":"2026-10-23"},{"text":"Flood-related damages were the most significant contributor to the total economic loss at EUR 4.1 billion, followed by drought-induced supply shortages at EUR 2.9 billion and heatwave impacts at EUR 2.3 billion.","ai_generated":true,"unit":"sei-000225#insight-2","date_modified":"2026-10-23"},{"text":"Analysis at the municipal level in Sweden showed moderate to strong associations (R2 between 0.39 and 0.62) between monthly climate indices and annual supply variables.","ai_generated":true,"unit":"sei-000225#insight-3","date_modified":"2026-10-23"}],"climate_tags":["flood","drought","heat wave","agriculture","water-supply management","insurance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["economic modeling","impact assessment"]},{"id":"climcent-000045","url":"https://climateinsightsdirectory.org/document/climcent-000045","title":"2025 Spring Package","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2025-02-26","source_url":"https://www.climatecentral.org/climate-matters/2025-spring-package","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate Central's analysis of 241 U.S. cities shows that 97% experienced an increase in average spring temperatures between 1970 and 2024, with an average rise of 2.4°F. The Southwest saw the most significant warming, and 80% of analyzed locations now experience at least one additional week of warmer-than-normal spring days. These trends are linked to global warming and contribute to increased wildfire risk, prolonged allergy seasons, and stressed water supplies in the western U.S.","ai_generated":true,"unit":"climcent-000045#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1970 and 2024, average spring temperatures increased in 234 out of 241 analyzed U.S. cities (97%), with an average increase of 2.4°F. Seventy-one of these cities saw warming of 3°F or more.","ai_generated":true,"unit":"climcent-000045#insight-1","date_modified":"2026-10-23"},{"text":"The most significant spring warming occurred in the southern U.S., particularly the Southwest, where temperatures rose by an average of 3.4°F. The highest individual warming was recorded in Reno, Nevada (6.8°F) and El Paso, Texas (6.4°F).","ai_generated":true,"unit":"climcent-000045#insight-2","date_modified":"2026-10-23"},{"text":"The frequency of unusually warm spring days has increased in 98% of the analyzed locations. Approximately 80% of these cities now experience at least seven more warmer-than-normal spring days than they did in the early 1970s, with the highest increase occurring in the Southwest (averaging 19 additional days).","ai_generated":true,"unit":"climcent-000045#insight-3","date_modified":"2026-10-23"},{"text":"Spring warming is linked to several environmental and health risks, including the prolongation of seasonal allergies, increased disease-carrying pest populations, and the shifting of plant hardiness zones northward.","ai_generated":true,"unit":"climcent-000045#insight-4","date_modified":"2026-10-23"},{"text":"Warming springs contribute to higher wildfire risks and water scarcity in the western U.S. Spring is identified as the fastest-growing fire weather season from 1973-2023 in nearly every major U.S. region, and earlier snowmelt creates water deficits affecting agriculture, drinking water, and hydropower.","ai_generated":true,"unit":"climcent-000045#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","water-supply management","vector-borne disease"],"geography_discussed":["Southwest","South","Southeast","Ohio Valley","Reno","El Paso","Las Vegas","Tucson","Albany","Chattanooga","Phoenix","Q49255","West"],"frame_perspective":[],"analysis_type":["statistical analysis"]},{"id":"sei-000816","url":"https://climateinsightsdirectory.org/document/sei-000816","title":"Exploring the potential of urban nature-based solutions to address infectious disease: a case study in Bharatpur, Nepal","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"case study","language":"en","date_published":"2025-02-25","source_url":"https://www.sei.org/publications/urban-nature-based-solutions-infectious-disease-bharatpur-nepal/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"A case study in Bharatpur, Nepal, identifies dengue fever and skin infections as prevalent infectious diseases, linked to poor waste management and inadequate sanitation. While nature-based solutions like green streets and rainwater harvesting can mitigate hazards by filtering water and reducing temperatures, the study concludes that NBS cannot replace essential urban infrastructure and services to improve public health outcomes.","ai_generated":true,"unit":"sei-000816#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In Bharatpur, Nepal, 18.4% of households reported being affected by dengue fever in the last five years, and 11.5% reported skin infections. Both diseases were associated with proximity to garbage disposal sites, while skin infections are hypothesized to be driven by a lack of clean water and adequate sanitation.","ai_generated":true,"unit":"sei-000816#insight-1","date_modified":"2026-10-23"},{"text":"Nature-based solutions (NBS) can reduce infectious disease hazards by mitigating flooding, filtering water, and lowering urban temperatures; local stakeholders in Bharatpur specifically expressed interest in rainwater harvesting and green streets.","ai_generated":true,"unit":"sei-000816#insight-2","date_modified":"2026-10-23"},{"text":"To improve public health, the study recommends prioritizing the improvement of piped water supply to peri-urban areas and strengthening city-wide solid waste management, asserting that NBS are not a substitute for basic urban infrastructure and services.","ai_generated":true,"unit":"sei-000816#insight-3","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","urbanization","water-supply management","flood","public health"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study"]},{"id":"iai-000082","url":"https://climateinsightsdirectory.org/document/iai-000082","title":"The Resilience of Public Water Governance: Outlook and Lessons Learned","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-16","source_url":"https://iai.int/es/pub_acad/the-resilience-of-public-water-governance-outlook-and-lessons-learned-book-chapter/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document evaluates global efforts to achieve universal water and sanitation coverage, contrasting the historical use of private sector investment with a renewed shift toward public governance models based on improved institutional regulation and competition management.","ai_generated":true,"unit":"iai-000082#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Despite progress made under the Millennium Development Goals, governments and the private sector have frequently failed to meet universal water supply and sanitation targets, leaving significant challenges remaining.","ai_generated":true,"unit":"iai-000082#insight-1","date_modified":"2026-10-23"},{"text":"There is a observed trend where the public governance model for water services, which was previously eclipsed, is reemerging due to the increased ability of public institutions to manage competition and regulate utilities.","ai_generated":true,"unit":"iai-000082#insight-2","date_modified":"2026-10-23"},{"text":"Under the Rio+20 Sustainable Development Goals, the global community is tasked with providing water and sanitation services that are environmentally benign, equitable, and serve as a foundation for water security.","ai_generated":true,"unit":"iai-000082#insight-3","date_modified":"2026-10-23"}],"climate_tags":["water security","water-supply management","sanitation","Sustainable Development Goals"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["synthesis"]},{"id":"gga-000225","url":"https://climateinsightsdirectory.org/document/gga-000225","title":"Harare CITY PROFILING REPORT 2025","publisher":{"name":"Good Governance Africa","organization":"good-governance-africa"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://digitalmallblobstorage.blob.core.windows.net/wp-content/2026/02/Harare-African-Cities-Report-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Harare City Profiling Report 2025 details the challenges facing Zimbabwe's capital, characterized by rapid informal urban growth, severe infrastructure decay, and a strained relationship between the opposition-led city council and the national government. While Harare serves as the country's economic hub, it suffers from critical gaps in water, sanitation, and waste management, with a significant portion of the population living in informal settlements. The report highlights a severe fiscal crisis where the city relies almost entirely on its own limited revenue sources while facing low payment compliance and high levels of non-revenue water.","ai_generated":true,"unit":"gga-000225#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Harare's urban expansion has been largely informal, with the built-up area increasing from 279.5km2 in 1984 to 445km2 in 2018. By 2021, the World Bank estimated that 33% of the population lived in informal settlements, and 63 neighbourhoods have been classified as 'slums'.","ai_generated":true,"unit":"gga-000225#insight-1","date_modified":"2026-10-23"},{"text":"The city's water supply system is in critical condition, meeting less than 40% of demand through formal treated systems. Non-revenue water reached 58% in 2024, far exceeding the African utility benchmark of 30%, due to leaks, theft, and illegal connections.","ai_generated":true,"unit":"gga-000225#insight-2","date_modified":"2026-10-23"},{"text":"Sanitation services are severely overloaded; in 2012, treatment plants processed only 80 megalitres per day of the 274 megalitres received. This has led to frequent sewer bursts and the contamination of water sources, contributing to cholera and typhoid outbreaks.","ai_generated":true,"unit":"gga-000225#insight-3","date_modified":"2026-10-23"},{"text":"Solid waste management is inefficient, with only 61% of waste collected based on 2015 data. Only 50% of the waste collection fleet is operational due to lack of maintenance funding, and landfill management is poor, with only one site compacting and covering waste.","ai_generated":true,"unit":"gga-000225#insight-4","date_modified":"2026-10-23"},{"text":"Electricity supply is unreliable with frequent load-shedding, often from 6 am to 6 pm. While 88% of households had access as of 2019, the sector is hampered by low tariffs and high debts owed to regional suppliers like Eskom and Hydro Cahora Bassa.","ai_generated":true,"unit":"gga-000225#insight-5","date_modified":"2026-10-23"},{"text":"Harare's road network is in a state of disaster, with over 87% requiring rehabilitation. Only 15% of the total road length is paved, and the city struggles to secure the estimated USD 250 million per year needed to revamp 250 km of roads annually.","ai_generated":true,"unit":"gga-000225#insight-6","date_modified":"2026-10-23"},{"text":"The city's economy is a major national driver, contributing an estimated 40% to Zimbabwe's GDP, though per capita GDP remained static at about US$2,900 between 2015 and 2020. The unemployment rate was reported at 24% in 2025, though citizen surveys suggest it could be as high as 43%.","ai_generated":true,"unit":"gga-000225#insight-7","date_modified":"2026-10-23"},{"text":"Governance is characterized by political conflict between the opposition-led Harare City Council (CCC) and the ZANU-PF national government. This results in extreme fiscal centralisation, with intergovernmental transfers making up only 1% of the city's operating revenue.","ai_generated":true,"unit":"gga-000225#insight-8","date_modified":"2026-10-23"},{"text":"The city's 2025 revenue budget relies almost entirely on 'own source' revenue (99%), with property rates contributing 48% and trading services (water, wastewater, and waste management) contributing 34%. However, actual revenue collection averaged only 40% in the first three quarters of 2024/25.","ai_generated":true,"unit":"gga-000225#insight-9","date_modified":"2026-10-23"}],"climate_tags":["urbanization","informal housing","water-supply management","sanitation","renewable energy","solar energy","carbon dioxide emissions","air quality","water pollution","climate change","drought","urban infrastructure","public transport"],"geography_discussed":["Ruwa","Goromonzi District","Chegutu District","Zvimba District","Mazowe District","Mashonaland East Province","Johannesburg","Cape Town","Lusaka","Lilongwe","Dar es Salaam","Luanda","Maputo","Bulawayo"],"frame_perspective":[],"analysis_type":["city profiling","socio-economic assessment","governance analysis","infrastructure review"]},{"id":"gga-000232","url":"https://climateinsightsdirectory.org/document/gga-000232","title":"Luanda CITY PROFILING REPORT 2025","publisher":{"name":"Good Governance Africa","organization":"good-governance-africa"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://digitalmallblobstorage.blob.core.windows.net/wp-content/2026/01/Luanda-African-Cities-Report-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report provides a comprehensive profile of Luanda, highlighting its rapid population growth, extreme economic inequality, and a highly centralised governance structure. While the city has benefited from oil wealth, significant service delivery gaps persist, particularly in housing, water, and sanitation for those in informal settlements. The report notes that Luanda is one of the most congested cities globally and faces increasing climate risks, including flooding and sea-level rise.","ai_generated":true,"unit":"gga-000232#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Luanda is one of Africa's fastest-growing and largest cities, with a 2024 population estimated between 9.65 million and 10.9 million, making it the fourth largest city on the continent.","ai_generated":true,"unit":"gga-000232#insight-1","date_modified":"2026-10-23"},{"text":"Housing remains a critical challenge, with nearly two-thirds of the population residing in informal, self-built housing known as 'musseques'.","ai_generated":true,"unit":"gga-000232#insight-2","date_modified":"2026-10-23"},{"text":"Luanda's economy is heavily dependent on oil, with a high GDP per capita of $7,400 in 2024, yet it suffers from extreme inequality and a high unemployment rate of 40.1% in 2021/2022.","ai_generated":true,"unit":"gga-000232#insight-3","date_modified":"2026-10-23"},{"text":"The city's governance is extraordinarily centralised; the Province of Luanda acts as the de facto local authority, and neither the province nor its 16 municipalities have elected councils.","ai_generated":true,"unit":"gga-000232#insight-4","date_modified":"2026-10-23"},{"text":"Water and sanitation services are inadequate for the poor; while 87% have basic water access, nearly one million people still lack basic services, and only 10.2% of households have sewered sanitation.","ai_generated":true,"unit":"gga-000232#insight-5","date_modified":"2026-10-23"},{"text":"Luanda is identified as potentially the most congested city in the world, with a NUMBEO traffic index of 371, far exceeding other SADC cities.","ai_generated":true,"unit":"gga-000232#insight-6","date_modified":"2026-10-23"},{"text":"The city faces significant climate change risks, specifically regarding coastal flooding, sea-level rise, and salt-water intrusion, which exacerbate the existing housing crisis.","ai_generated":true,"unit":"gga-000232#insight-7","date_modified":"2026-10-23"},{"text":"Local government financing is heavily reliant on national government transfers, which account for 92% of revenue, indicating a low level of financial devolution.","ai_generated":true,"unit":"gga-000232#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change","sea level rise","flood","carbon dioxide emissions","air quality","climate change adaptation","urban infrastructure","water-supply management","sanitation","energy transition","hydropower","fossil fuel"],"geography_discussed":["Bengo Province","Icolo e Bengo Province","Johannesburg","Cape Town","Dar es Salaam","Harare","Lusaka","Lilongwe","Maputo","Ndola","Bulawayo"],"frame_perspective":[],"analysis_type":["city profiling","comparative analysis","governance assessment"]},{"id":"gga-000234","url":"https://climateinsightsdirectory.org/document/gga-000234","title":"Maputo CITY PROFILING REPORT 2025","publisher":{"name":"Good Governance Africa","organization":"good-governance-africa"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://digitalmallblobstorage.blob.core.windows.net/wp-content/2026/01/Maputo-African-Cities-Report-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Maputo metropolitan area, with a population of 2.9 million, serves as Mozambique's primary economic and political hub but faces significant challenges in service delivery and infrastructure. While the city shows economic growth and improving health indices, it is characterized by high levels of informal settlements, inadequate sanitation, and a fragmented local government system with limited functional autonomy. Key infrastructure projects like the Maputo-Katembe bridge have improved connectivity, but the region remains one of the poorest primary cities in the SADC region, with a heavy reliance on charcoal for cooking and a high prevalence of waterborne diseases among children.","ai_generated":true,"unit":"gga-000234#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Maputo metropolitan area had an estimated population of 2.9 million in 2024, with a growth rate of 2.4% per annum between 2017 and 2024. Maputo City itself has a population of 1.1 million.","ai_generated":true,"unit":"gga-000234#insight-1","date_modified":"2026-10-23"},{"text":"Informal housing is prevalent in Maputo City; 61.6% of residents lived in 'basic' housing as of 2017, and some estimates suggest 80% of the population lived in informal settlements in 2016.","ai_generated":true,"unit":"gga-000234#insight-2","date_modified":"2026-10-23"},{"text":"Maputo City's economy is dominated by tertiary activities, specifically commerce, finance, and administration, which together with 'other' services represent the bulk of employment. The city is responsible for approximately 20% of Mozambique's GDP.","ai_generated":true,"unit":"gga-000234#insight-3","date_modified":"2026-10-23"},{"text":"Local government in Mozambique is described as underdeveloped and weak in its decentralisation arrangements. While Law 12/2023 expanded municipal functions, major services like water, electricity, health, and education remain managed by national departments or parastatals.","ai_generated":true,"unit":"gga-000234#insight-4","date_modified":"2026-10-23"},{"text":"Water supply is managed by the public utility Águas da Região Metropolitana de Maputo (AdeM), but performance is poor, with non-revenue water at 47% and only 30% of customers receiving continuous 24/7 supply.","ai_generated":true,"unit":"gga-000234#insight-5","date_modified":"2026-10-23"},{"text":"Sanitation is a critical challenge; only 9% of households in the Maputo metro had a sewered sanitation system in 2018. Diarrhea is estimated to be the third leading cause of death among children aged 0-14, accounting for at least 10% of all mortality.","ai_generated":true,"unit":"gga-000234#insight-6","date_modified":"2026-10-23"},{"text":"While 95% of households have electricity access, there is a heavy reliance on charcoal for cooking, with 75% of households relying on it for all cooking as of 2014, contributing to deforestation and poor air quality.","ai_generated":true,"unit":"gga-000234#insight-7","date_modified":"2026-10-23"},{"text":"The road network is largely unpaved, with only 4.5% of the total 13,804 km of roads in the metro area being paved. The Maputo-Katembe bridge, opened in 2018, is a significant strategic development for cross-border trade.","ai_generated":true,"unit":"gga-000234#insight-8","date_modified":"2026-10-23"},{"text":"Public transport is dominated by informal minibus taxis known as 'chapas'. Accessibility is poor, with children in Maputo having an average walking time of 56 minutes to reach primary schools.","ai_generated":true,"unit":"gga-000234#insight-9","date_modified":"2026-10-23"},{"text":"Environmental indicators show a significant loss of green areas, which decreased from 14.1% in 2010 to 5.3% in 2020. Air quality (PM2.5) is 15 µg/m3, which is well above the WHO standard of 5 µg/m3.","ai_generated":true,"unit":"gga-000234#insight-10","date_modified":"2026-10-23"},{"text":"Municipal finance is limited and heavily dependent on transfers. In 2020, transfers represented 43% of Maputo City’s budget.","ai_generated":true,"unit":"gga-000234#insight-11","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","deforestation","air quality","urbanization","informal housing","public transport","water-supply management","sanitation","climate finance"],"geography_discussed":["Matola","Boane","Marracuene","Matola-Rio","South Africa","Eswatini","Zimbabwe"],"frame_perspective":[],"analysis_type":["city profiling","comparative analysis","socio-economic assessment"]},{"id":"bc3res-000212","url":"https://climateinsightsdirectory.org/document/bc3res-000212","title":"Nigeria Natural Capital Accounting Compilation of Pilot Ecosystem Accounts for Nasarawa and Kaduna States Report","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"report","language":"en","date_published":"2024-11","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20241112110900535902949.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details the compilation of pilot ecosystem accounts for Kaduna and Nasarawa states in Nigeria between 2015 and 2020. Using the SEEA-EA framework and ARIES AI technology, the study estimated biophysical supply for climate regulation (carbon storage), soil retention, crop production, pollination, and water supply. Findings indicate that while total carbon stocks and soil retention remained relatively stable, there were significant shifts in land cover, including an increase in deciduous broadleaf forests and a loss of shrublands. The report emphasizes the lack of local geo-referenced data and the need for an institutional framework to support independent national environmental accounting.","ai_generated":true,"unit":"bc3res-000212#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project produced the first Ecosystem Accounts for Kaduna and Nasarawa states, focusing on the biophysical supply of ecosystem services using the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA-EA) international standard.","ai_generated":true,"unit":"bc3res-000212#insight-1","date_modified":"2026-10-23"},{"text":"Between 2015 and 2020, non-irrigated arable land was the land cover class that experienced the greatest shrinkage across Nigeria, while agricultural land with natural vegetation saw the largest expansion.","ai_generated":true,"unit":"bc3res-000212#insight-2","date_modified":"2026-10-23"},{"text":"In both Kaduna and Nasarawa states, there was an observed increase in deciduous broadleaf forests and a corresponding loss of shrubland and deciduous shrubland vegetation, though the Technical Working Group noted that deforestation remains a pressing issue.","ai_generated":true,"unit":"bc3res-000212#insight-3","date_modified":"2026-10-23"},{"text":"Total carbon stocks in both pilot states remained fairly stable from 2015 to 2020, with changes in specific land cover classes aligning with observed land cover shifts.","ai_generated":true,"unit":"bc3res-000212#insight-4","date_modified":"2026-10-23"},{"text":"The overall soil retention service across both states remained relatively constant between 2015 and 2020, despite significant transformations within individual land cover categories.","ai_generated":true,"unit":"bc3res-000212#insight-5","date_modified":"2026-10-23"},{"text":"Among the 12 globally important crops modeled, seven were identified in the studied regions: wheat, sugar cane, rice, palm oil, maize, soybean, and potato. Mango was the only crop analyzed that relies heavily on pollinators.","ai_generated":true,"unit":"bc3res-000212#insight-6","date_modified":"2026-10-23"},{"text":"Water supply estimates for both runoff and baseflow showed a significant negative trend (decrease in volume) between 2015 and 2020, although the report cautions that these values are indicative and require calibration.","ai_generated":true,"unit":"bc3res-000212#insight-7","date_modified":"2026-10-23"},{"text":"The compilation of these accounts was hindered by a lack of local, geo-referenced data and reliable regional statistics, necessitating the use of global datasets such as ESA-CCI and GFM.","ai_generated":true,"unit":"bc3res-000212#insight-8","date_modified":"2026-10-23"}],"climate_tags":["ecosystem service","carbon capture and storage","water-supply management"],"geography_discussed":["Abuja"],"frame_perspective":[],"analysis_type":["biophysical assessment","spatial analysis","trend analysis"]},{"id":"climcent-000187","url":"https://climateinsightsdirectory.org/document/climcent-000187","title":"Warm Spring Days Boosted by Climate Change in U.S. Cities","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"briefing","language":"en","date_published":"2024-06-05","source_url":"https://www.climatecentral.org/climate-matters/2024-us-spring-attribution","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Using the Climate Shift Index (CSI), Climate Central found that human-caused climate change significantly boosted spring warmth in 2024, affecting 300 million people in the U.S. and approximately one in four people globally. The strongest influence was observed in coastal and island regions, such as Puerto Rico and Florida, while areas with the highest temperature anomalies, like the Upper Midwest, showed lower CSI levels due to higher historical temperature variance.","ai_generated":true,"unit":"climcent-000187#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the United States, approximately 300 million people, representing 89% of the population, experienced at least one spring day from March to May 2024 where warm average temperatures were made at least two times more likely by climate change (CSI level 2 or higher).","ai_generated":true,"unit":"climcent-000187#insight-1","date_modified":"2026-10-23"},{"text":"The strongest influence of climate change in the U.S. was concentrated in coastal states and islands. San Juan, Puerto Rico, had the highest impact, with 91 days at CSI level 2 or higher, meaning 99% of all spring days were influenced. Other high-impact cities included Sarasota, Florida (39 days), West Palm Beach, Florida (35 days), Honolulu, Hawaii (32 days), and Miami, Florida (31 days).","ai_generated":true,"unit":"climcent-000187#insight-2","date_modified":"2026-10-23"},{"text":"There is a distinction between temperature anomalies and the CSI signal. States with the highest temperature anomalies, such as Michigan (4.0°F), Ohio (3.9°F), and West Virginia (3.7°F), had fewer than four spring days at CSI level 2 or higher because these regions have higher seasonal temperature variance and more modest long-term warming trends.","ai_generated":true,"unit":"climcent-000187#insight-3","date_modified":"2026-10-23"},{"text":"Globally, about 25% of the population experienced a very strong influence of climate change (CSI level 3 or higher) on temperatures daily from March to May 2024. This peaked on April 6, 2024, affecting 2.7 billion people. The most extreme attributable heat (CSI level 5 for at least 60 days) affected approximately 44% of people in Africa and one in three people in South America.","ai_generated":true,"unit":"climcent-000187#insight-4","date_modified":"2026-10-23"},{"text":"Climate-driven spring warming has several ecological and societal impacts: it lengthens the freeze-free growing season (observed in 164 of 197 analyzed U.S. cities since 1970), extends the season for disease-carrying pests like mosquitoes, shifts plant hardiness zones northward, and causes earlier snowmelt that reduces water supplies for hydropower, agriculture, and drinking water.","ai_generated":true,"unit":"climcent-000187#insight-5","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","vector-borne disease","agriculture","water-supply management","hydropower"],"geography_discussed":["Puerto Rico","Florida","Hawaii","Alaska","Africa","South America","Southeast Asia","Central America","Caribbean","Oceania","Michigan","Ohio","West Virginia"],"frame_perspective":[],"analysis_type":["attribution analysis","statistical analysis"]},{"id":"sei-001397","url":"https://climateinsightsdirectory.org/document/sei-001397","title":"Guía para la evaluación de inversiones para empresas de prestación de servicios de acueducto","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"es","date_published":"2024-03","source_url":"https://www.sei.org/wp-content/uploads/2023/09/guia-metodologica-tarifas-cra.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The guide provides a structured approach based on the XLRM framework to assess investments in water supply systems. It emphasizes comparing 'environmental additional investments' (IAA) against traditional infrastructure and efficiency measures. Using two Colombian case studies (Río Chinchiná and Río Chicamocha), the document demonstrates how nature-based solutions like ecosystem restoration can improve water regulation and increase low-flow (Q95) availability, thereby reducing the gap between water supply and demand. It also analyzes the Colombian regulatory framework, specifically Resolution CRA 907 of 2019, which allows certain environmental costs to be recovered through tariffs.","ai_generated":true,"unit":"sei-001397#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed methodology uses the XLRM approach, which integrates exogenous uncertainties (X), management strategies (L), models (R), and performance measures (M) to evaluate water system interventions.","ai_generated":true,"unit":"sei-001397#insight-1","date_modified":"2026-10-23"},{"text":"Environmental investments, such as ecosystem restoration and protection, improve hydrological regulation by storing water in soil and vegetation, which specifically increases water availability during critical dry periods (low-flow or Q95).","ai_generated":true,"unit":"sei-001397#insight-2","date_modified":"2026-10-23"},{"text":"In the Río Chinchiná case study, implementing the National Restoration Plan could increase the Q95 flow by up to 0.45 m3/s compared to the baseline, whereas a scenario with no previous environmental investments could have reduced Q95 by 1.97 m3/s.","ai_generated":true,"unit":"sei-001397#insight-3","date_modified":"2026-10-23"},{"text":"Cost-effectiveness analysis indicates that demand management strategies, such as improving water use efficiency and reducing losses in capture and adduction, generally provide the most benefit at the lowest cost compared to environmental or grey infrastructure investments.","ai_generated":true,"unit":"sei-001397#insight-4","date_modified":"2026-10-23"},{"text":"The Colombian regulatory framework, specifically Resolution CRA 907 of 2019, allows water utility providers to include the costs of 'Additional Environmental Investments' (IAA) in the tariffs charged to subscribers to reduce vulnerability to water shortages.","ai_generated":true,"unit":"sei-001397#insight-5","date_modified":"2026-10-23"},{"text":"The Ministry of Housing, City and Territory (MVCT) defines six types of Additional Environmental Investments: land purchase and isolation, aquifer recharge projects, restoration, protection of basin buffers, water resource monitoring, and payments for environmental services (PSA).","ai_generated":true,"unit":"sei-001397#insight-6","date_modified":"2026-10-23"}],"climate_tags":["water management","nature-based solutions","ecological restoration","climate change","water-supply management","climate finance","water efficiency"],"geography_discussed":["Q2390421","Chicamocha River","Duitama","Paipa","Manizales","Villamaría"],"frame_perspective":[],"analysis_type":["methodological guide","cost-effectiveness analysis","hydrological modeling","regulatory analysis"]},{"id":"climcent-000226","url":"https://climateinsightsdirectory.org/document/climcent-000226","title":"Wettest Seasons in U.S. Regions","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2023-10-18","source_url":"https://www.climatecentral.org/climate-matters/wettest-seasons-in-us-regions-2023","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate Central analyzed precipitation data from 1969-70 to 2022-23 for the contiguous U.S., finding that while some regions have balanced seasonal rainfall, others rely heavily on a single season. Specifically, the West and Northwest are dominated by winter precipitation, while the Plains and Upper Midwest rely on summer rainfall. Climate change is altering these patterns, with a general increase in precipitation east of the Rockies and a decrease to the west. Warmer temperatures are increasing atmospheric moisture—approximately 10% more since 1970—which enhances extremes such as heavy downpours and intensifying droughts.","ai_generated":true,"unit":"climcent-000226#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Regional precipitation patterns in the contiguous U.S. vary significantly: the West and Northwest are primarily dependent on winter precipitation, whereas the Plains, Upper Midwest, and parts of the Southwest rely more on summer precipitation.","ai_generated":true,"unit":"climcent-000226#insight-1","date_modified":"2026-10-23"},{"text":"Long-term trends since 1901 show an overall increase in U.S. precipitation, though this is regionally split; increases occurred in the Northeast, Midwest, Great Plains, Ohio Valley, and South, while decreases were seen in the West and Southwest.","ai_generated":true,"unit":"climcent-000226#insight-2","date_modified":"2026-10-23"},{"text":"A comparison of normal periods from 1981-2010 and 1991-2020 indicates that annual average precipitation has increased east of the Rockies and decreased to the west, particularly in the Southwestern U.S.","ai_generated":true,"unit":"climcent-000226#insight-3","date_modified":"2026-10-23"},{"text":"Fourteen U.S. states receive at least one-third of their annual precipitation in a single season, with nine states receiving 40% or more in one season, increasing their vulnerability to climate-driven precipitation shifts. For example, California receives 52% of its precipitation in winter, while North Dakota receives 45% in summer.","ai_generated":true,"unit":"climcent-000226#insight-4","date_modified":"2026-10-23"},{"text":"Atmospheric moisture capacity increases by 4% for every 1°F of warming. Because the U.S. has warmed by 2.6°F since 1970, the atmosphere now holds approximately 10% more moisture on average, increasing the risk of heavy rainfall and flooding.","ai_generated":true,"unit":"climcent-000226#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","water-supply management","drought","flood risk"],"geography_discussed":["California","North Dakota","New Mexico","Minnesota","Florida","Oregon","Nebraska","South Dakota","Washington"],"frame_perspective":[],"analysis_type":["historical trend analysis","regional assessment","climate projection"]},{"id":"climcent-000239","url":"https://climateinsightsdirectory.org/document/climcent-000239","title":"The Warming Festive Season","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2022-12-21","source_url":"https://www.climatecentral.org/climate-matters/the-warming-festive-season-2022","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document reports that 97% of 246 analyzed U.S. locations experienced an increase in average temperature during the period from December 25 to January 5 between 1969 and 2021. It details regional shifts in snowpack and precipitation, noting that winter is the fastest-warming season for most of the U.S., which increases the likelihood of precipitation falling as rain rather than snow.","ai_generated":true,"unit":"climcent-000239#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1969 and 2021, 97% of 246 analyzed U.S. locations saw an increase in average temperature during the 12-day period from December 25 to January 5. Warming exceeded 1°F for 94% of locations, 3°F for 75% of locations, and 5°F for 37% of locations.","ai_generated":true,"unit":"climcent-000239#insight-1","date_modified":"2026-10-23"},{"text":"The highest temperature increases for the festive period were recorded in Reno, Nev. (9.5°F), Burlington, Vt. (9.1°F), Milwaukee, Wisc. (8.6°F), Helena, Mont. (8.5°F), and Waterloo, Iowa (8.4°F).","ai_generated":true,"unit":"climcent-000239#insight-2","date_modified":"2026-10-23"},{"text":"Regional impacts of warming include declining snowpack and earlier snowmelt in the western U.S., an increase in winter rain over snow in the Northeast, and a 22% average decline in maximum lake ice cover in the Great Lakes region since 1973.","ai_generated":true,"unit":"climcent-000239#insight-3","date_modified":"2026-10-23"},{"text":"In the Northern Great Plains, warming has resulted in shorter snow seasons and reduced snowpack water storage, which negatively impacts aquatic ecosystems and local recreation and economic industries.","ai_generated":true,"unit":"climcent-000239#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change","water-supply management"],"geography_discussed":["Idaho","Minnesota","Maine","New York","Reno","Burlington","Milwaukee","Helena","Waterloo","Great Lakes","Northern Great Plains"],"frame_perspective":[],"analysis_type":["trend analysis","regional assessment"]},{"id":"wri-000270","url":"https://climateinsightsdirectory.org/document/wri-000270","title":"Profiles of Adaptation: Japan","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"fact sheet","language":"en","date_published":"2022-06-29","source_url":"https://www.wri.org/update/profiles-adaptation-japan","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Japan utilizes the 2018 Climate Change Adaptation Act and a revised 2021 plan to coordinate adaptation across ministries using 66 Key Performance Indicators. Domestically, the country employs local adaptation centers in 38 of 47 prefectures and the A-PLAT information platform to support municipal planning. Internationally, Japan provides technical expertise in disaster risk reduction, manages the Asia-Pacific Climate Change Adaptation Information Platform (AP-PLAT), and has committed to doubling adaptation finance to approximately $14.8 billion between 2021 and 2025.","ai_generated":true,"unit":"wri-000270#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate Change Adaptation Act of 2018 established the legal basis for Japan's adaptation efforts, requiring a Climate Change Adaptation Plan that is updated every five years. The revised plan approved in October 2021 utilizes a 'Plan, Do, Check, Act (PDCA)' management approach and 66 Key Performance Indicators (KPIs) to monitor sectoral and fundamental progress.","ai_generated":true,"unit":"wri-000270#insight-1","date_modified":"2026-10-23"},{"text":"Japan supports locally led adaptation through municipal and prefectural climate change adaptation centers, which were active in 38 out of 47 prefectures as of April 2022. To facilitate this, the Adaptation Information Platform (A-PLAT) consolidates climate risk data for use by local governments in formulating adaptation plans.","ai_generated":true,"unit":"wri-000270#insight-2","date_modified":"2026-10-23"},{"text":"The Ministry of Economy, Trade, and Industry (METI) promotes international adaptation businesses in seven specific areas: sustainable energy supply, food security and agricultural production, health and sanitation, climate monitoring and early warning, secure resources and sustainable water supply, resilient infrastructure against natural disasters, and climate change finance.","ai_generated":true,"unit":"wri-000270#insight-3","date_modified":"2026-10-23"},{"text":"Japan provides global technical and financial assistance, including the 2021 launch of the Asia-Pacific Climate Change Adaptation Information Platform (AP-PLAT) and a commitment to increase adaptation finance to approximately $14.8 billion from public and private sources between 2021 and 2025. In March 2022, Japan contributed $6 million to the adaptation fund.","ai_generated":true,"unit":"wri-000270#insight-4","date_modified":"2026-10-23"},{"text":"Japan applies its Disaster Risk Reduction (DRR) expertise internationally through projects such as the implementation of erosion-control dams in Indonesia and a flood-resilient subway system in Bangkok, Thailand.","ai_generated":true,"unit":"wri-000270#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","disaster risk reduction","climate finance","infrastructure resilience","food security","agricultural production","early warning system","water-supply management","greenhouse gas monitoring","public health"],"geography_discussed":["Thailand","Bangkok","Indonesia","Asia-Pacific"],"frame_perspective":[],"analysis_type":["policy review","case study"]},{"id":"climcent-000150","url":"https://climateinsightsdirectory.org/document/climcent-000150","title":"2021 Winter Package","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2021-11-23","source_url":"https://www.climatecentral.org/climate-matters/2021-winter-package","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Analysis of 246 U.S. locations from 1970 to 2021 shows that 98% experienced an increase in average winter temperatures, with the Great Lakes and Northeast regions seeing the most significant warming. Winter is the fastest-warming season for 38 out of 49 states. While extreme cold events still occur, warming winters threaten regional economies through reduced snowpacks in the West, lower fruit yields, and the migration of disease-carrying pests.","ai_generated":true,"unit":"climcent-000150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1970 and 2021, approximately 98% of the 246 analyzed U.S. locations saw an increase in average winter temperatures, and 84% of those locations warmed by 2°F or more. Additionally, about 74% of locations experienced at least 7 more days above the 1991-2020 winter normal temperatures.","ai_generated":true,"unit":"climcent-000150#insight-1","date_modified":"2026-10-23"},{"text":"The Great Lakes and Northeast regions experienced the highest winter warming. The five locations with the largest increases were Burlington, Vt. (7.2°F), Concord, N.H. (6°F), Milwaukee (6°F), Chattanooga, Tenn. (5.8°F), and Green Bay, Wis. (5.8°F).","ai_generated":true,"unit":"climcent-000150#insight-2","date_modified":"2026-10-23"},{"text":"Winter has been the fastest-warming season over the last 50 years for 38 out of 49 U.S. states, excluding Hawaii.","ai_generated":true,"unit":"climcent-000150#insight-3","date_modified":"2026-10-23"},{"text":"Despite overall warming, some northern states like Montana and the Dakotas have seen colder winter temperatures since 1970, and the possibility of extreme cold events remains, though their likelihood is decreasing.","ai_generated":true,"unit":"climcent-000150#insight-4","date_modified":"2026-10-23"},{"text":"Warming winters create several socio-economic and health risks: the migration of ticks and mosquitoes to new regions, threats to the winter recreation industry due to less snow and ice, declining snowpacks in the West affecting water supply and irrigation, and reduced fruit yields for apple, peach, and cherry trees due to shorter chill periods.","ai_generated":true,"unit":"climcent-000150#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme weather event","water-supply management","agriculture","vector-borne disease"],"geography_discussed":["Great Lakes","Northeastern United States","Burlington, Vt.","Concord, N.H.","Milwaukee","Chattanooga, Tenn.","Green Bay, Wis.","Hawaii","Dakotas","Montana","Texas"],"frame_perspective":[],"analysis_type":["trend analysis"]},{"id":"clipolin-000012","url":"https://climateinsightsdirectory.org/document/clipolin-000012","title":"Mapping the Effect of Deforestation on Rainfall: A Case Study from the State of Mato Grosso","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"case study","language":"en","date_published":"2021-10-04","source_url":"https://www.climatepolicyinitiative.org/publication/mapping-the-effect-of-deforestation-on-rainfall-a-case-study-from-the-state-of-mato-grosso/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report demonstrates that deforestation in the Amazon, specifically within the Xingu River Basin, significantly reduces rainfall in Mato Grosso. A counterfactual scenario where all Xingu Indigenous Territories are deforested predicts an average annual precipitation decrease of 7%, with more severe reductions during the dry season. These changes threaten agricultural productivity, urban water supplies, and hydroelectric power generation, with the center and north of the state being most vulnerable.","ai_generated":true,"unit":"clipolin-000012#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Deforestation of the Xingu River region's Indigenous territories, which cover 140,000 km2, is estimated to cause an average decrease of 7% in the annual historical average precipitation for the state of Mato Grosso.","ai_generated":true,"unit":"clipolin-000012#insight-1","date_modified":"2026-10-23"},{"text":"The impact of deforestation on rainfall varies by season, with the dry season (May to August) experiencing a more pronounced decrease of up to 15% of the historical seasonal average, compared to up to 8% during the wet season (September to April).","ai_generated":true,"unit":"clipolin-000012#insight-2","date_modified":"2026-10-23"},{"text":"Geographic vulnerability to rainfall reduction is uneven across Mato Grosso: the center and north are most affected during the wet season, while the center and northwest are most affected during the dry season; the eastern part remains largely unaffected due to wind patterns.","ai_generated":true,"unit":"clipolin-000012#insight-3","date_modified":"2026-10-23"},{"text":"Rainfall reductions from deforestation pose significant risks to critical economic infrastructure in Mato Grosso, specifically affecting agricultural productivity, urban water supplies, and the reservoirs of eight hydroelectric power plants, including the Teles Pires plant.","ai_generated":true,"unit":"clipolin-000012#insight-4","date_modified":"2026-10-23"},{"text":"The study utilizes an atmospheric transport model based on ERA5 wind data and MapBiomas land use data (1985-2018) to establish that air parcels traveling over forest areas maintain more humidity and deliver more rainfall than those over deforested terrain.","ai_generated":true,"unit":"clipolin-000012#insight-5","date_modified":"2026-10-23"},{"text":"The findings represent a lower bound of the actual effect of deforestation because the model does not account for the synergies of climate change, deforestation in other regions, or the hydrological effects of deforestation on the Xingu River itself.","ai_generated":true,"unit":"clipolin-000012#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","rain","hydroelectricity","agricultural productivity","water-supply management","climate change"],"geography_discussed":["Brazil","Argentina","South America"],"frame_perspective":[],"analysis_type":["case study","counterfactual analysis","empirical modeling"]},{"id":"clipolin-000802","url":"https://climateinsightsdirectory.org/document/clipolin-000802","title":"MAPEANDO O EFEITO DO DESMATAMENTO NAS CHUVAS UM ESTUDO DE CASO DO ESTADO DO MATO GROSSO","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2021-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/10/Rainfall-PT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report by CPI/PUC-Rio uses an atmospheric transport model to demonstrate that deforestation in the Amazon rainforest reduces rainfall in Mato Grosso. A counterfactual analysis of the total deforestation of indigenous territories in the Xingu River Basin suggests a 7% reduction in average annual precipitation, with more severe impacts during the dry season. The study highlights the critical role of protected forest areas in sustaining agricultural productivity, hydroelectric power generation, and urban water supplies.","ai_generated":true,"unit":"clipolin-000802#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Deforestation in the Xingu River Basin region is estimated to reduce the historical average annual precipitation in the state of Mato Grosso by 7%.","ai_generated":true,"unit":"clipolin-000802#insight-1","date_modified":"2026-10-23"},{"text":"The impact of deforestation on rainfall varies by season: the rainy season may see a reduction of up to 8% of the historical average, while the dry season could experience a reduction of up to 15%.","ai_generated":true,"unit":"clipolin-000802#insight-2","date_modified":"2026-10-23"},{"text":"Geographic vulnerability to rainfall reduction differs by region and season: the center and north of the state are most affected during the rainy season, while the center and northwest are most affected during the dry season.","ai_generated":true,"unit":"clipolin-000802#insight-3","date_modified":"2026-10-23"},{"text":"The reduction in rainfall resulting from deforestation threatens key economic sectors in Mato Grosso, specifically agricultural productivity, urban water supply, and the reservoirs of hydroelectric plants.","ai_generated":true,"unit":"clipolin-000802#insight-4","date_modified":"2026-10-23"},{"text":"Atmospheric transport patterns show that the rainy season is characterized by winds moving from north to south (from the Amazon), whereas the dry season is characterized by east-to-west trajectories from outside the Amazon.","ai_generated":true,"unit":"clipolin-000802#insight-5","date_modified":"2026-10-23"},{"text":"The study notes that the Amazon forest's role in regulating rainfall extends beyond Brazil, affecting precipitation in Argentina and other South American countries.","ai_generated":true,"unit":"clipolin-000802#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","precipitation","hydroelectricity","agricultural productivity","water-supply management","climate change"],"geography_discussed":["Xingu River Basin","Brazil","Argentina","South America"],"frame_perspective":[],"analysis_type":["case study","counterfactual analysis","climate modeling"]}]}