{"query_echo":{"q":"","filters":{"geography":["Southeast"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Southeast' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":65,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Southeast&page=2","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Southeast&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":"climcent-000161","url":"https://climateinsightsdirectory.org/document/climcent-000161","title":"2024 Fall Package","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"briefing","language":"en","date_published":"2024-08-28","source_url":"https://www.climatecentral.org/climate-matters/2024-fall-package","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Analysis of 242 U.S. cities shows that fall temperatures have increased by an average of 2.5°F since 1970, with the most intense warming occurring in the Southwest. This trend is characterized by a higher frequency of above-normal temperature days, which prolongs risks related to heat-related illness, wildfires, and allergies, while also affecting agricultural growing seasons and energy demand for cooling.","ai_generated":true,"unit":"climcent-000161#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Fall temperatures have risen across nearly all analyzed U.S. cities since 1970, with an average increase of 2.5°F in 234 of the 242 locations studied. The warming is most pronounced in the Southwest, where average fall temperatures increased by 3.8°F, followed by the Northern Rockies & Plains at 3.1°F.","ai_generated":true,"unit":"climcent-000161#insight-1","date_modified":"2026-10-23"},{"text":"The frequency of unusually warm fall days has increased in 233 cities. Approximately 80% of analyzed locations now experience at least one additional week of warmer-than-normal fall days compared to 1970, and 97 cities experience at least two additional weeks.","ai_generated":true,"unit":"climcent-000161#insight-2","date_modified":"2026-10-23"},{"text":"The five cities with the highest fall warming since 1970 are Reno, Nevada (7.7°F), El Paso, Texas (6.1°F), Las Vegas, Nevada (6.1°F), Tucson, Arizona (5.6°F), and Phoenix, Arizona (5.4°F).","ai_generated":true,"unit":"climcent-000161#insight-3","date_modified":"2026-10-23"},{"text":"Prolonged fall warmth extends the duration of summer-related risks, including heat-related illness for children and outdoor workers, higher energy costs and emissions due to increased cooling demand, and a longer, more intense allergy season.","ai_generated":true,"unit":"climcent-000161#insight-4","date_modified":"2026-10-23"},{"text":"Warming trends contribute to longer wildfire seasons, particularly in the western U.S., where regions of Nevada, California, Utah, New Mexico, Wyoming, and Montana experience at least 14 days of fall fire weather. Additionally, warmer temperatures extend the growing season, which can benefit some crops but also increase pest populations and water stress in the West and Southwest.","ai_generated":true,"unit":"climcent-000161#insight-5","date_modified":"2026-10-23"}],"climate_tags":["wildfire","sea surface temperature","hurricane","urban heat island"],"geography_discussed":["Southwest","Northern Rockies & Plains","Upper Midwest","Northwest","Northeastern United States","South","West","Southeast","Ohio Valley","Reno","El Paso","Las Vegas","Tucson","Phoenix","Nevada","California","Utah","New Mexico","Wyoming","Montana"],"frame_perspective":[],"analysis_type":["trend analysis","impact assessment"]},{"id":"climcent-000102","url":"https://climateinsightsdirectory.org/document/climcent-000102","title":"Rising Heat Risks for Workers","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-07-30","source_url":"https://www.climatecentral.org/climate-matters/rising-heat-risks-for-workers","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate Central reports that 89% of 242 analyzed U.S. locations have seen an increase in annual 'warning days' (heat index 80°F to 94°F) since 1979, with the most significant rises in the Ohio Valley and Upper Midwest. Between 1992 and 2022, 986 U.S. workers died from heat exposure, and from 1980 to 2016, an average of 421 million work hours were lost annually, costing $14 billion. The document highlights a lack of comprehensive federal heat standards, noting that only five states have such protections, while some states like Florida and Texas prohibit local municipalities from enacting their own heat safety laws.","ai_generated":true,"unit":"climcent-000102#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of 242 U.S. locations shows that 89% have experienced an increase in annual 'warning days' for workers—defined as a heat index between 80°F and 94°F—since 1979. These locations now average 11 more warning days per year, with the highest increases in the Ohio Valley (13 more days) and the Upper Midwest, Northeast, and Northern Rockies and Plains (12 more days).","ai_generated":true,"unit":"climcent-000102#insight-1","date_modified":"2026-10-23"},{"text":"The frequency of 'danger days' (heat index of 95°F or higher) has increased in approximately 60% of 236 analyzed U.S. locations since 1979. These increases are concentrated in the South and Southeast, where workers now experience an average of 14 and 11 more danger days annually, respectively. Miami, Florida, saw the largest increase with up to 43 more danger days per year.","ai_generated":true,"unit":"climcent-000102#insight-2","date_modified":"2026-10-23"},{"text":"Heat-related workplace fatalities and injuries are significant, with 986 U.S. workers dying from heat exposure between 1992 and 2022, one-third of whom were construction workers. From 2011 to 2020, the U.S. Bureau of Labor Statistics estimated 33,890 work-related heat injuries and illnesses that resulted in days away from work.","ai_generated":true,"unit":"climcent-000102#insight-3","date_modified":"2026-10-23"},{"text":"Extreme heat causes substantial economic losses through lost labor hours. In the U.S., an average of 421 million work hours were lost annually between 1980 and 2016, costing $14 billion per year (in 2016 dollars). Globally, heat resulted in the loss of 490 billion potential work hours in 2022.","ai_generated":true,"unit":"climcent-000102#insight-4","date_modified":"2026-10-23"},{"text":"Future projections indicate that if emissions of heat-trapping pollution continue (RCP 4.5 and 8.5), U.S. weather-exposed workers could lose between $37 and $80 billion in annual wages by 2090. A 2°C warming scenario is projected to result in 14 lost labor hours per year globally, with the highest losses in the Southeast (20 hours) and Southern Great Plains (26 hours).","ai_generated":true,"unit":"climcent-000102#insight-5","date_modified":"2026-10-23"},{"text":"There is a lack of comprehensive federal heat protections in the U.S., with only five states—California, Colorado, Minnesota, Oregon, and Washington—having workplace standards for heat exposure. Furthermore, Florida and Texas have legislation that prevents local municipalities from creating their own heat and worker safety laws.","ai_generated":true,"unit":"climcent-000102#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","climate change adaptation","climate impact"],"geography_discussed":["Ohio Valley","Upper Midwest","Southeast","South","Southwest","Miami","West Palm Beach","Fort Myers","World","California","Colorado","Minnesota","Oregon","Washington","Florida","Texas","Tucson"],"frame_perspective":[],"analysis_type":["trend analysis","economic impact assessment","policy review"]},{"id":"climcent-000199","url":"https://climateinsightsdirectory.org/document/climcent-000199","title":"Extreme Precipitation in a Warming Climate","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-05-01","source_url":"https://www.climatecentral.org/climate-matters/extreme-precipitation-in-a-warming-climate","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate change is increasing the intensity of extreme precipitation across the U.S., with the Northeast and Midwest seeing the largest increases since 1958. Under 2°C of global warming, 85% of U.S. counties are projected to experience a 10% or higher increase in precipitation on the heaviest 1% of days. This intensification contributes to flash flooding and landslides, disproportionately affecting racial minorities and those in mobile homes, particularly in the South and rural areas. Between 1988 and 2021, warming-induced rainfall intensification caused an estimated $84 billion in inland flood damages.","ai_generated":true,"unit":"climcent-000199#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1958 and 2021, the most extreme precipitation days intensified in every major U.S. region, with the highest increases occurring in the Northeast (60%) and the Midwest (45%). Other regional increases included the Southeast (37%), the Northern Rockies and Plains (24%), and the South (21%).","ai_generated":true,"unit":"climcent-000199#insight-1","date_modified":"2026-10-23"},{"text":"Under a scenario of 2°C (3.6°F) of global warming, 85% of the 3,111 U.S. counties (2,645 counties) are likely to see a 10% or higher increase in precipitation on the heaviest 1% of days, with an average increase of 17% across all counties.","ai_generated":true,"unit":"climcent-000199#insight-2","date_modified":"2026-10-23"},{"text":"Specific high-risk areas for extreme precipitation intensification at 2°C of warming include Alaska (43%) and Hawaii (30%), as well as Tennessee, Alabama, Georgia, Mississippi, Maine, North Carolina, and Kentucky, where increases of at least 30% are expected.","ai_generated":true,"unit":"climcent-000199#insight-3","date_modified":"2026-10-23"},{"text":"Climate warming increases the air's capacity to hold moisture—approximately 4% more moisture for every 1°F of warming—which leads to heavier downpours and flash floods. In the U.S., hourly rainfall intensity increased by an average of 13% across 150 analyzed locations since 1970.","ai_generated":true,"unit":"climcent-000199#insight-4","date_modified":"2026-10-23"},{"text":"Warming-induced rainfall intensification has caused significant economic and social damage. From 1988 to 2021, 37% of the $230 billion in U.S. inland flood damages—amounting to $84 billion—is attributed to precipitation changes caused by climate warming.","ai_generated":true,"unit":"climcent-000199#insight-5","date_modified":"2026-10-23"},{"text":"Flood risks are inequitably distributed; racial minorities and residents of mobile homes are disproportionately exposed, particularly in rural areas and the South. Additionally, a projected 26% increase in overall U.S. flood risk by 2050 may disproportionately impact Black communities along the Atlantic and Gulf coasts.","ai_generated":true,"unit":"climcent-000199#insight-6","date_modified":"2026-10-23"}],"climate_tags":["flash flood","climate finance","climate justice","landslide"],"geography_discussed":["Northeastern United States","Midwestern United States","Southeast","Northern Rockies and Plains","South","Alaska","Hawaii","Tennessee","Alabama","Georgia","Mississippi","Maine","North Carolina","Kentucky","Southwest"],"frame_perspective":[],"analysis_type":["historical trend analysis","future projection"]},{"id":"climcent-000225","url":"https://climateinsightsdirectory.org/document/climcent-000225","title":"Weather-related Power Outages Rising","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-04-24","source_url":"https://www.climatecentral.org/climate-matters/weather-related-power-outages-rising","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Between 2000 and 2023, 80% of major U.S. power outages were caused by weather, with a significant increase in frequency during the last decade. Severe weather, winter storms, and tropical cyclones are the primary drivers, with Texas and the Southeast region among the most affected. The document highlights the vulnerability of aging infrastructure and the disproportionate impact on marginalized and medically vulnerable populations, while suggesting grid hardening, microgrids, and emissions reductions as paths toward resilience.","ai_generated":true,"unit":"climcent-000225#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Weather-related events were the primary cause of major U.S. power outages between 2000 and 2023, accounting for 80% (1,755) of all reported major outages. The frequency of these events has increased, with approximately twice as many weather-related outages occurring from 2014 to 2023 compared to the period from 2000 to 2009.","ai_generated":true,"unit":"climcent-000225#insight-1","date_modified":"2026-10-23"},{"text":"The most frequent causes of weather-related outages were severe weather (58%), winter weather (23%), and tropical cyclones (14%). While tropical cyclones represent a smaller percentage of total events, they are responsible for most of the longest-lasting outages through 2022. Extreme heat and wildfires accounted for 3% and 2% of outages, respectively, with over half of wildfire-related outages concentrated in the last five years.","ai_generated":true,"unit":"climcent-000225#insight-2","date_modified":"2026-10-23"},{"text":"Geographically, the Southeast (360), South (352), Northeast (350), and Ohio Valley (301) were the regions with the highest number of weather-related outages. At the state level, Texas had the most reported outages (210), followed by Michigan (157), California (145), North Carolina (111), and Ohio (88).","ai_generated":true,"unit":"climcent-000225#insight-3","date_modified":"2026-10-23"},{"text":"Power outages disproportionately affect people of color and vulnerable populations, including older people and those with disabilities or medical conditions. Long-duration outages were particularly prevalent from 2018 to 2020 in the Northeast, South, and Appalachia, with significant impacts in Arkansas, Louisiana, and Michigan counties with high concentrations of socially and medically vulnerable residents.","ai_generated":true,"unit":"climcent-000225#insight-4","date_modified":"2026-10-23"},{"text":"To improve grid resilience, the document suggests rapidly cutting emissions to slow warming, as well as implementing near-term solutions such as microgrids powered by solar and wind, smart grid sensors, and grid hardening measures like burying transmission lines or replacing wooden poles with steel or concrete.","ai_generated":true,"unit":"climcent-000225#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","electrical grid","tropical cyclone","hurricane","extreme heat","wildfire","Resilience (power system)","microgrid","renewable energy","solar energy","wind power","smart grid","climate justice","climate change mitigation"],"geography_discussed":["Texas","Michigan","California","North Carolina","Ohio","Southeast","South","Northeastern United States","Ohio Valley","Puerto Rico","Florida","Arkansas","Louisiana","Appalachia"],"frame_perspective":[],"analysis_type":["statistical analysis","geographic analysis"]},{"id":"climcent-000019","url":"https://climateinsightsdirectory.org/document/climcent-000019","title":"2024 Spring Package","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-02-28","source_url":"https://www.climatecentral.org/climate-matters/2024-spring-package","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Since 1970, spring temperatures in the contiguous U.S. have increased by an average of 2°F, with the most significant warming occurring in the Southwest. Analysis of 239 locations shows that 96% of cities experienced warming, with some locations in Nevada, Texas, and Arizona exceeding 6°F. This trend is characterized by an increase in warmer-than-normal spring days, which contributes to earlier snowmelt, prolonged allergy seasons, and extended agricultural growing seasons.","ai_generated":true,"unit":"climcent-000019#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1970 and 2023, average spring temperatures increased in 229 of the 239 analyzed U.S. locations (96%), with an average warming of 2.2°F across those cities. Over half of the locations (54%) saw spring temperatures rise by 2°F or more.","ai_generated":true,"unit":"climcent-000019#insight-1","date_modified":"2026-10-23"},{"text":"The Southwest region experienced the highest average spring warming at 3.3°F. Specific cities with the highest warming include Reno, Nevada (6.8°F), El Paso, Texas (6.3°F), Las Vegas, Nevada (6.2°F), Tucson, Arizona (6°F), and Phoenix, Arizona (5.3°F).","ai_generated":true,"unit":"climcent-000019#insight-2","date_modified":"2026-10-23"},{"text":"There has been a significant increase in the frequency of warmer-than-normal spring days (relative to the 1991-2020 normal). Since 1970, 96% of analyzed locations saw an increase, and 73% now experience at least seven more such days. The highest average increase was in the Southwest with 18 additional days.","ai_generated":true,"unit":"climcent-000019#insight-3","date_modified":"2026-10-23"},{"text":"Spring warming has several environmental and health consequences: it causes earlier snowmelt that stresses water resources and hydropower in the West; extends the duration of seasonal allergies by delaying the first frost; expands the season for disease-carrying pests like mosquitoes; and shifts agricultural planting zones and growing seasons.","ai_generated":true,"unit":"climcent-000019#insight-4","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","water resource","hydropower","vector-borne disease","agriculture"],"geography_discussed":["Southwest","Southeast","South","West","Reno","El Paso","Las Vegas","Tucson","Phoenix","Albany","Chattanooga","Q49255"],"frame_perspective":[],"analysis_type":["trend analysis","impact assessment"]},{"id":"climcent-000253","url":"https://climateinsightsdirectory.org/document/climcent-000253","title":"Warmest Winter Days","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-01-31","source_url":"https://www.climatecentral.org/climate-matters/warmest-winter-days","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Analysis of 240 U.S. weather stations shows that 86% of locations have experienced an increase in unusually warm winter days since 1970, with the most significant rises occurring in the Upper Midwest, Southeast, and Northeast. Winter is the fastest-warming season for 74% of the analyzed locations. These trends are accompanied by a decrease in freezing nights, shorter cold snaps, and a rise in the temperature of the coldest day of the year. The document notes that winter warming affects agriculture, water supplies, public health via allergy and mosquito seasons, and winter sports.","ai_generated":true,"unit":"climcent-000253#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Winter is the fastest-warming season for 74% of the 240 U.S. locations analyzed by Climate Central.","ai_generated":true,"unit":"climcent-000253#insight-1","date_modified":"2026-10-23"},{"text":"Since 1970, 86% of the analyzed U.S. locations (206 out of 240) have seen an increase in the number of unusually warm winter days, with these locations experiencing five more such days on average.","ai_generated":true,"unit":"climcent-000253#insight-2","date_modified":"2026-10-23"},{"text":"The increase in unusually warm winter days was most pronounced in the Northeast, Southeast, and Upper Midwest, while decreases were concentrated in the western U.S., particularly Idaho.","ai_generated":true,"unit":"climcent-000253#insight-3","date_modified":"2026-10-23"},{"text":"Other winter temperature trends since 1970 include a reduction in freezing nights across 204 locations, a shrinking of winter cold snaps in 97% of 244 analyzed locations, and an average 7F increase in the temperature of the coldest day of the year across 242 locations.","ai_generated":true,"unit":"climcent-000253#insight-4","date_modified":"2026-10-23"},{"text":"Winter warming has broad consequences, including longer allergy and growing seasons, disruption of chill requirements for fruit and nut crops, altered snowfall and water supply timing, reduced home heating demand, and increased mosquito activity.","ai_generated":true,"unit":"climcent-000253#insight-5","date_modified":"2026-10-23"}],"climate_tags":["agriculture","public health"],"geography_discussed":["Upper Midwest","Southeast","Northeastern United States","Idaho"],"frame_perspective":[],"analysis_type":["trend analysis"]},{"id":"climcent-000173","url":"https://climateinsightsdirectory.org/document/climcent-000173","title":"Billion-Dollar Disaster Seasons","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2024-01-17","source_url":"https://www.climatecentral.org/climate-matters/billion-dollar-disaster-seasons-2024","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The U.S. experienced a record 28 billion-dollar disasters in 2023, causing over $93 billion in damages. Since 1980, tropical cyclones have been the costliest events, while severe storms are the most frequent. The document details how warming temperatures intensify specific hazards—such as increasing rainfall intensity and fueling stronger tropical cyclones—and notes that the average time between such disasters has shrunk from 82 days in the 1980s to 12 days in 2023.","ai_generated":true,"unit":"climcent-000173#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The United States reached a record high of 28 billion-dollar weather and climate disasters in 2023, resulting in an estimated 492 deaths and more than $93 billion in damages. This surpasses the previous annual record of 22 disasters set in 2020.","ai_generated":true,"unit":"climcent-000173#insight-1","date_modified":"2026-10-23"},{"text":"Since 1980, tropical cyclones have been the most expensive disaster type, accounting for 52% of all billion-dollar disaster costs, totaling nearly $1.4 trillion. Severe storms are the most frequent, representing 50% of all such disasters in the same period.","ai_generated":true,"unit":"climcent-000173#insight-2","date_modified":"2026-10-23"},{"text":"The frequency and cost of billion-dollar disasters have risen sharply: they were 2.7 times more frequent in the last 20 years compared to the previous 20, and the average annual cost increased from $28 billion (1984-2003) to $101 billion (2004-2023).","ai_generated":true,"unit":"climcent-000173#insight-3","date_modified":"2026-10-23"},{"text":"The interval between billion-dollar disasters has decreased significantly, from an average of 82 days in the 1980s to 16 days between 2019 and 2023, and further down to 12 days in 2023.","ai_generated":true,"unit":"climcent-000173#insight-4","date_modified":"2026-10-23"},{"text":"Climate change is increasing the likelihood of 'compound extreme events,' where multiple hazards occur simultaneously or consecutively. Examples include overlapping droughts and megafires in the western U.S. and back-to-back hurricanes in the eastern U.S.","ai_generated":true,"unit":"climcent-000173#insight-5","date_modified":"2026-10-23"},{"text":"Warming temperatures are altering specific disaster profiles: air can hold 4% more moisture per 1°F of warming, increasing flash flood risks; human-caused warming has increased the likelihood of hurricanes reaching Category 3 or higher by approximately 8% per decade since 1979; and human-caused climate change is responsible for at least two-thirds of the increase in fire weather in the western U.S.","ai_generated":true,"unit":"climcent-000173#insight-6","date_modified":"2026-10-23"},{"text":"The increase in disaster costs and frequency is driven by a combination of a warming climate, population growth in at-risk areas, and accelerated development in floodplains, coastal areas, and fire-prone regions.","ai_generated":true,"unit":"climcent-000173#insight-7","date_modified":"2026-10-23"}],"climate_tags":["tropical cyclone","wildfire","flood","drought","climate finance","sea level rise","climate justice"],"geography_discussed":["Maui","Florida","California","Ohio Valley","Upper Midwest","Northeastern United States","Northwest","South","Southeast","Southwest","West","Northern Rockies and Plains"],"frame_perspective":[],"analysis_type":["statistical analysis","trend analysis","regional assessment"]},{"id":"clipolin-000179","url":"https://climateinsightsdirectory.org/document/clipolin-000179","title":"Family Farming in Brazil: Inequalities in Credit Access","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2023-11-07","source_url":"https://www.climatepolicyinitiative.org/publication/family-farming-in-brazil-inequalities-in-credit-access/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document reveals that only 15% of Brazilian family farmers access credit, with resources heavily concentrated in the South region, larger family properties, and grain production. It argues that the current eligibility criteria, particularly the outdated 'fiscal module' system, create distortions that exclude the most vulnerable producers. The brief recommends revising these criteria and integrating sustainability requirements to support a transition to low-carbon agriculture.","ai_generated":true,"unit":"clipolin-000179#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Credit access among family farmers is limited and highly unequal, with only 15% of family farmers accessing credit.","ai_generated":true,"unit":"clipolin-000179#insight-1","date_modified":"2026-10-23"},{"text":"There is a strong correlation between farm size and credit access; producers with properties between 10 and 100 hectares have higher access rates (19-20%) compared to those with properties up to four hectares (10-11%).","ai_generated":true,"unit":"clipolin-000179#insight-2","date_modified":"2026-10-23"},{"text":"Significant regional disparities exist in credit access and funding volume, with the South region showing the highest access (29%) and the North the lowest (9%). The average amount per hectare for PRONAF contracts in the South (R$ 1,451) is eighteen times higher than in the North (R$ 83).","ai_generated":true,"unit":"clipolin-000179#insight-3","date_modified":"2026-10-23"},{"text":"Financing is concentrated in specific crops; corn, wheat, and soy receive the most funding, with PRONAF credit exceeding 40% of their sales value. Conversely, crops central to family farming like manioc, banana, and açaí receive less than 10% of their sales value in PRONAF financing.","ai_generated":true,"unit":"clipolin-000179#insight-4","date_modified":"2026-10-23"},{"text":"The 'fiscal module' system used to determine PRONAF eligibility is outdated, having remained largely unaltered since the 1980s, which leads to distortions where producers with identical land sizes are categorized differently based on their municipality.","ai_generated":true,"unit":"clipolin-000179#insight-5","date_modified":"2026-10-23"},{"text":"While PRONAF represents a high volume of contracts (73% of all rural credit contracts in 2022), it accounts for a disproportionately small share of the total credit volume (14%), indicating lower financing levels for family farming compared to corporate farming.","ai_generated":true,"unit":"clipolin-000179#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","climate change adaptation","climate change mitigation","agricultural productivity"],"geography_discussed":["South","North","Northeast","Midwest","Southeast"],"frame_perspective":[],"analysis_type":["policy analysis","socio-economic analysis"]},{"id":"eninnova-000181","url":"https://climateinsightsdirectory.org/document/eninnova-000181","title":"APPENDIX A: EPA AVERT ANALYSIS OF UPSTREAM ELECTROLYSIS EMISSIONS","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"research paper","language":"en","date_published":"2023-05","source_url":"https://energyinnovation.org/wp-content/uploads/45V-Paper-Appendix-A.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Using the EPA's AVERT tool and 2021 data, the analysis finds that ignoring additionality, regionality, line loss accounting, or hourly time-matching can lead to hydrogen production emissions that exceed the threshold for the top $3/kg 45V tax credit. Specifically, forgoing additionality could result in emissions 22 to 40 kgCO2/kgH2, which is more than twice the emissions of steam methane reformation.","ai_generated":true,"unit":"eninnova-000181#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Forgoing the additionality principle in 45V guidance would lead to substantial GHG emissions across all 14 modeled U.S. regions, with rates between 22 and 40 kgCO2/kgH2. This is more than twice the emissions of steam methane reformation (SMR) and approximately 50 times the threshold required for the $3/kg tax credit.","ai_generated":true,"unit":"eninnova-000181#insight-1","date_modified":"2026-10-23"},{"text":"Ignoring regionality (part of the deliverability principle) can cause high emissions depending on the location of the electrolyzer relative to the clean energy source. For instance, an electrolyzer in the Rocky Mountains region using hourly-matched clean energy from California would have a GHG emissions intensity exceeding 17 kgCO2/kgH2, which is over 1.5 times that of SMR.","ai_generated":true,"unit":"eninnova-000181#insight-2","date_modified":"2026-10-23"},{"text":"Failure to account for transmission line losses would result in GHG emissions that push projects in every U.S. region beyond the threshold for the $3/kg tax credit, although they might still qualify for lower tax credit tiers.","ai_generated":true,"unit":"eninnova-000181#insight-3","date_modified":"2026-10-23"},{"text":"Forgoing hourly time-matching can push emissions above the $3/kg threshold, though results vary by region and resource. For example, an electrolyzer in the Southeast using onshore wind would produce hydrogen with an intensity over 1 kgCO2/kgH2, more than double the allowable limit for the top tier.","ai_generated":true,"unit":"eninnova-000181#insight-4","date_modified":"2026-10-23"},{"text":"The analysis is limited to short-run marginal emissions and likely underestimates true impacts because it does not account for long-run structural changes, such as how clean energy deployments for electrolysis might displace other investments or how marginal emissions rates evolve as the power system develops.","ai_generated":true,"unit":"eninnova-000181#insight-5","date_modified":"2026-10-23"}],"climate_tags":["green hydrogen","electrolysis","Inflation Reduction Act of 2022","greenhouse gas emissions","onshore wind farm"],"geography_discussed":["California","Rocky Mountains","Southeast","Texas"],"frame_perspective":[],"analysis_type":["marginal emissions analysis","policy impact assessment"]},{"id":"climcent-000219","url":"https://climateinsightsdirectory.org/document/climcent-000219","title":"Severe Storm, Supercell, and Tornado Trends","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2023-04-12","source_url":"https://www.climatecentral.org/climate-matters/severe-storm-supercell-and-tornado-trends-2023","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document reports a significant increase in billion-dollar severe storms in the U.S., with a shift in tornado activity toward the Southeast and Mid-South. It highlights the vulnerability of mobile home residents and projects a nationwide increase in supercell frequency and a shift toward more winter and early spring storms by the end of the century.","ai_generated":true,"unit":"climcent-000219#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Severe storms have become more frequent and costly in the U.S., accounting for 48% of all billion-dollar weather disasters since 1980. Between 2001 and 2022, the U.S. experienced 142 billion-dollar severe storms, which is nearly six times the 25 events recorded from 1980 to 2000. The average annual cost of these events rose from $2.5 billion (1980–2000) to $15.4 billion (2001•2022).","ai_generated":true,"unit":"climcent-000219#insight-1","date_modified":"2026-10-23"},{"text":"Tornado activity is shifting eastward into the Southeast and Mid-South, including states such as Mississippi, Alabama, Arkansas, Tennessee, Kentucky, Missouri, Illinois, and Indiana. This shift increases risk for residents of mobile homes, which are concentrated in these regions and are 15 to 20 times more likely to result in a tornado-related fatality than permanent homes.","ai_generated":true,"unit":"climcent-000219#insight-2","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Mississippi","Alabama","Arkansas","Tennessee","Kentucky","Missouri","Illinois","Indiana","Southeast","Mid-South","Ohio Valley","Northeastern United States","Great Plains","Midwestern United States"],"frame_perspective":[],"analysis_type":["trend analysis","risk assessment","projection"]},{"id":"clipolin-000991","url":"https://climateinsightsdirectory.org/document/clipolin-000991","title":"Challenges of Rural Insurance in the Context of Climate Change: The Case of Soybeans","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2023-04-10","source_url":"https://www.climatepolicyinitiative.org/publication/challenges-of-rural-insurance-in-the-context-of-climate-change-the-case-of-soybeans/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the gap between soybean production distribution and rural insurance coverage in Brazil, highlighting how climate change—manifesting as severe droughts, hail, and frost—has led to unprecedented insurance claim payments. Using LASSO machine learning models, researchers found that while insurance data is insufficient to predict losses in the North and Northeast regions, agricultural yield data from PAM/IBGE can effectively identify climate variables (precipitation, fire risk, and wind) that correlate with losses. The authors recommend expanding insurance supply to vulnerable regions like MATOPIBA, utilizing production history for pricing in underserved areas, and strengthening the reinsurance market and public-private funds to ensure insurer liquidity.","ai_generated":true,"unit":"clipolin-000991#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is increasing the frequency of extreme weather events in Brazil, leading to a surge in rural insurance claims. In the 2021/2022 agricultural year, severe drought caused claim payments to grow more than four times compared to the previous season, with total claims reaching R$ 8.8 billion, exceeding the total premiums collected.","ai_generated":true,"unit":"clipolin-000991#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant mismatch between where soybeans are produced and where rural insurance is available. The Southern region holds 60% of policies and 43% of premium value, despite representing only 37% of soybean production value (2006-2018). Conversely, the Midwest accounts for 44% of production value but only 20% of insurance policies.","ai_generated":true,"unit":"clipolin-000991#insight-2","date_modified":"2026-10-23"},{"text":"The MATOPIBA region (Maranhão, Tocantins, Piauí, and Bahia) has seen an increase in soybean production share, rising from 10% in 2010 to 14% in 2020, yet insurance coverage has not grown proportionally, leaving the area vulnerable to high climate risk.","ai_generated":true,"unit":"clipolin-000991#insight-3","date_modified":"2026-10-23"},{"text":"Machine learning models (LASSO) identify precipitation, fire risk, and wind as the most relevant climate variables for explaining agricultural losses across Brazil. These variables are strongly correlated with droughts and storms, while temperature variables have lower individual explanatory power.","ai_generated":true,"unit":"clipolin-000991#insight-4","date_modified":"2026-10-23"},{"text":"Predictive models based on insurance claims data perform poorly in the North and Northeast due to limited policy history. However, when using average soybean yield data from PAM/IBGE, the models can effectively explain losses in the Northeast, suggesting that the lack of insurance is due to data scarcity and high risk rather than an inability to model the climate.","ai_generated":true,"unit":"clipolin-000991#insight-5","date_modified":"2026-10-23"},{"text":"The Brazilian reinsurance market is expanding but remains highly concentrated. While IRB Brasil held 89% of premiums in the 2011/12 crop, its share fell to 38% by 2021/22 as foreign companies increased their participation.","ai_generated":true,"unit":"clipolin-000991#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change","drought","climate finance"],"geography_discussed":["MATOPIBA","South","Midwest","Northeast","North","Southeast","São Paulo","Santa Catarina","Rio Grande do Sul","Paraná","Piauí","Bahia"],"frame_perspective":[],"analysis_type":["econometric analysis","machine learning","policy assessment"]},{"id":"clipolin-000748","url":"https://climateinsightsdirectory.org/document/clipolin-000748","title":"Desafios do Seguro Rural no Contexto das Mudanças Climáticas","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"pt","date_published":"2023-04","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2023/04/PB-Desafios-do-Seguros-Rural-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the gap between soybean production and rural insurance coverage in Brazil, highlighting how climate change exacerbates risks through extreme events. Using LASSO machine learning models, researchers demonstrate that while insurance data is scarce in regions like the North and Northeast, agricultural yield data can effectively identify climate variables—primarily precipitation, fire risk, and wind—that drive production losses. The brief argues for expanding insurance to vulnerable regions like MATOPIBA and improving the solvency of insurers through reinsurance and public-private funds to support a low-carbon agricultural transition.","ai_generated":true,"unit":"clipolin-000748#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is increasing the frequency of extreme events in Brazil, such as prolonged droughts, hail, and frost, which has led to a substantial rise in rural insurance claims. In the 2021/2022 agricultural year, severe drought caused insurance indemnities to increase more than fourfold compared to the previous harvest.","ai_generated":true,"unit":"clipolin-000748#insight-1","date_modified":"2026-10-23"},{"text":"Rural insurance in Brazil is highly concentrated in the South and Midwest regions, failing to keep pace with the expansion of soybean production in other areas. For example, in the MATOPIBA region (Maranhão, Tocantins, Piauí, and Bahia), the growth of insurance coverage has not been proportional to the increase in production.","ai_generated":true,"unit":"clipolin-000748#insight-2","date_modified":"2026-10-23"},{"text":"Machine learning models (LASSO) reveal that precipitation, fire risk, and wind are the most relevant climate variables for explaining agricultural losses across Brazil. The models show that the correlation between these variables and losses varies by region according to planting and harvesting cycles; for instance, the South shows higher correlation in September and November (planting), while the Midwest peaks in March (harvest).","ai_generated":true,"unit":"clipolin-000748#insight-3","date_modified":"2026-10-23"},{"text":"There is a significant data gap in the North and Northeast regions that hinders the ability of insurance-based models to predict claims. However, when using average yield data from PAM/IBGE instead of insurance records, the models can effectively explain production losses in the Northeast, suggesting that the lack of insurance is due to high risk and low data availability rather than an inability to model the climate impact.","ai_generated":true,"unit":"clipolin-000748#insight-4","date_modified":"2026-10-23"},{"text":"The Brazilian reinsurance market is growing but remains highly concentrated. While IRB Brasil held 89% of premiums in the 2011/12 harvest, this dropped to 38% by 2021/22 as foreign companies increased their participation, which helps dilute risks globally.","ai_generated":true,"unit":"clipolin-000748#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme weather event","drought","climate change adaptation","climate change mitigation"],"geography_discussed":["MATOPIBA","South","Northeast","Southeast"],"frame_perspective":[],"analysis_type":["policy brief","econometric modeling","geographic mapping"]},{"id":"climcent-000221","url":"https://climateinsightsdirectory.org/document/climcent-000221","title":"Surging Weather-related Power Outages","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2022-09-14","source_url":"https://www.climatecentral.org/climate-matters/surging-weather-related-power-outages","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Between 2000 and 2021, the U.S. experienced 1,542 major weather-related power outages, with 83% of all reported major outages attributed to weather. The average annual number of these events increased by approximately 78% in the 2011-2021 decade compared to 2000-2010. Severe weather, winter weather, and tropical cyclones were the primary drivers, with the Southeast, Midwest, and Northeast regions most affected. To address these vulnerabilities, the document suggests solutions such as microgrids, smart grid technologies, grid hardening, and bidirectional charging for electric vehicles.","ai_generated":true,"unit":"climcent-000221#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2000 and 2021, weather-related events accounted for approximately 83% of all reported major power outages in the U.S., where a major outage is defined as one affecting at least 50,000 customers.","ai_generated":true,"unit":"climcent-000221#insight-1","date_modified":"2026-10-23"},{"text":"The frequency of weather-related power outages rose significantly in the second decade of the study, with the average annual number of outages increasing by roughly 78% from 2011-2021 compared to the 2000-2010 period.","ai_generated":true,"unit":"climcent-000221#insight-2","date_modified":"2026-10-23"},{"text":"Of the 1,542 weather-related major power outages recorded from 2000-2021, 58% were caused by severe weather (such as high winds, rain, and thunderstorms), 22% by winter weather (including snow, ice, and freezing rain), and 15% by tropical storms and hurricanes. Extreme heat and wildfires caused approximately 5% of these outages.","ai_generated":true,"unit":"climcent-000221#insight-3","date_modified":"2026-10-23"},{"text":"Geographically, the Southeast region had the highest number of weather-related major outages (474), followed by the Midwest (363) and the Northeast (346). The states with the highest number of reported weather-related outages were Texas (180), Michigan (132), California (129), North Carolina (97), and Pennsylvania (82).","ai_generated":true,"unit":"climcent-000221#insight-4","date_modified":"2026-10-23"},{"text":"To enhance electricity security and resilience against climate-driven stresses on aging infrastructure, the document identifies several solutions: microgrids, smart grid technologies, grid hardening (such as burying transmission lines and tree trimming), bidirectional charging for electric vehicles, and demand-reduction incentives.","ai_generated":true,"unit":"climcent-000221#insight-5","date_modified":"2026-10-23"}],"climate_tags":["electrical grid","extreme weather event","climate change","tropical cyclone","wildfire","extreme heat","Resilience (power system)","microgrid","smart grid","electric vehicle"],"geography_discussed":["Southeast","Midwestern United States","Northeastern United States","Texas","Michigan","California","North Carolina","Pennsylvania"],"frame_perspective":[],"analysis_type":["statistical analysis","trend analysis","policy recommendation"]},{"id":"clipolin-000843","url":"https://climateinsightsdirectory.org/document/clipolin-000843","title":"REVEALING INCENTIVES IMPLICATIONS OF THE DESIGN OF PUBLIC RURAL INSURANCE POLICIES IN BRAZIL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2022-07","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2022/07/Revealing-Incentives.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report compares the Agricultural Activity Guarantee Program (PROAGRO) and the Rural Insurance Premium Subsidy Program (PSR) in Brazil. It finds that PROAGRO's design, where the government bears the risk while financial institutions operate the program, leads to severe information asymmetries, moral hazard, and higher claim rates. In contrast, the PSR, where insurers bear the risk, provides stronger incentives for monitoring and selection, resulting in lower claim rates and a more sustainable financial balance. The authors recommend migrating resources from PROAGRO to the PSR, improving the training of claims adjusters, and incorporating parametric insurance and sustainable management criteria into policy design.","ai_generated":true,"unit":"clipolin-000843#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The PSR has experienced significant growth in both policy volume and insured value, while PROAGRO has seen a decline in the number of contracts. Between 2013 and 2021, PSR policies increased from 102,600 to 213,800 and insured value rose from R$ 22 billion to R$ 67 billion, whereas PROAGRO contracts fell from 466,900 to 284,300.","ai_generated":true,"unit":"clipolin-000843#insight-1","date_modified":"2026-10-23"},{"text":"PROAGRO suffers from more severe information asymmetry and incentive problems because the federal government bears the risks, reducing the motivation for financial institutions to monitor producers and for producers to avoid losses. Conversely, under the PSR, insurers bear the risk, which incentivizes them to select lower-risk producers and monitor activities.","ai_generated":true,"unit":"clipolin-000843#insight-2","date_modified":"2026-10-23"},{"text":"Distortions in incentives have led to a higher volume and value of claims in PROAGRO compared to the PSR. Between 2019 and 2021, claims were granted for over 28% of PROAGRO policies versus 19% for the PSR. In terms of value, paid-out claims accounted for 22% and 18% of insured values under PROAGRO MAIS and PROAGRO TRADICIONAL, respectively, compared to only 5.4% under the PSR.","ai_generated":true,"unit":"clipolin-000843#insight-3","date_modified":"2026-10-23"},{"text":"PROAGRO's financial sustainability has deteriorated as the demand for National Treasury resources for compensations has grown much faster than premium revenues. Spending on compensations increased four-fold from R$ 1.3 billion in 2017 to R$ 5.8 billion in 2021.","ai_generated":true,"unit":"clipolin-000843#insight-4","date_modified":"2026-10-23"},{"text":"Both programs are highly concentrated in a few crops, with soybean, corn, and wheat accounting for approximately 80% of the insured value in both. Soybean is the most dominant, representing 57% of the PSR's insured value and 34% of PROAGRO's.","ai_generated":true,"unit":"clipolin-000843#insight-5","date_modified":"2026-10-23"},{"text":"The PSR faces challenges in reaching small producers, a group primarily served by PROAGRO. While a 2020 pilot project for PRONAF operations showed the PSR could serve small producers, the program's presence remains weak in the North and Northeast regions, where it accounted for less than 3% of total subsidized policies in 2021.","ai_generated":true,"unit":"clipolin-000843#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme weather event"],"geography_discussed":["Central-West Region","Northeast Region","South Region","Southeast","North"],"frame_perspective":[],"analysis_type":["policy analysis","comparative study","economic analysis"]},{"id":"clipolin-000844","url":"https://climateinsightsdirectory.org/document/clipolin-000844","title":"Revelando Incentivos","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2022-07","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2022/07/Revelando-Incentivos.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report compares the Proagro and PSR rural insurance programs in Brazil, finding that Proagro's design—where the government assumes risk while financial institutions operate the program—creates significant information asymmetries and moral hazard. This leads to higher claim rates and increasing costs for the National Treasury. In contrast, the PSR, where private insurers bear the risk, shows greater efficiency and growth, though it struggles to reach small-scale producers. The authors recommend migrating resources toward the PSR, improving claim verification through technology and training, and integrating sustainable farming criteria into risk zoning to enhance the sustainability of Brazilian agriculture.","ai_generated":true,"unit":"clipolin-000844#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The PSR has experienced significant growth in both the number of policies and the total insured value, while Proagro has seen a decline in the number of contracts. Between 2013 and 2021, PSR policies increased from 102,600 to 213,800, and the insured value rose from R$ 22.4 billion to R$ 67 billion. During the same period, Proagro contracts fell from 466,900 to 284,300, although its insured value remained stable at approximately R$ 17 billion.","ai_generated":true,"unit":"clipolin-000844#insight-1","date_modified":"2026-10-23"},{"text":"Proagro suffers from more severe information asymmetries and moral hazard than the PSR because the Union assumes the insurance risks while financial institutions handle operations. This structure reduces incentives for institutions to monitor producers and for producers to prevent crop losses, potentially leading to overestimated claims and fraud.","ai_generated":true,"unit":"clipolin-000844#insight-2","date_modified":"2026-10-23"},{"text":"The differing incentive structures result in higher claim rates and higher effective coverage in Proagro compared to the PSR. Between 2019 and 2021, over 28% of Proagro policies had approved claims, compared to 19% for the PSR. In terms of value, approved claims represented 22% and 18% of insured values in Proagro Mais and Proagro Tradicional, respectively, but only 5.4% in the PSR.","ai_generated":true,"unit":"clipolin-000844#insight-3","date_modified":"2026-10-23"},{"text":"Proagro's high claim rates have led to a sharp increase in costs for the Brazilian government. Between 2017 and 2021, expenditures on Proagro indemnities quadrupled, rising from R$ 1.3 billion to R$ 5.8 billion, outstripping the program's revenue growth.","ai_generated":true,"unit":"clipolin-000844#insight-4","date_modified":"2026-10-23"},{"text":"Both programs are highly concentrated in a few crops, with soy, corn, and wheat representing approximately 80% of the insured value. Soy is the dominant crop in both, accounting for 57% of the insured value in the PSR and 34% in Proagro.","ai_generated":true,"unit":"clipolin-000844#insight-5","date_modified":"2026-10-23"},{"text":"While the PSR is more efficient in risk management, it faces challenges in reaching small-scale producers, who are primarily served by Proagro. A 2020 pilot project for operations under Pronaf indicated that the PSR can effectively serve small producers.","ai_generated":true,"unit":"clipolin-000844#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","agricultural productivity","climate change","sustainable agriculture","public finance"],"geography_discussed":["Center-West","Northeast","South","Southeast","North"],"frame_perspective":[],"analysis_type":["policy analysis","comparative study","economic evaluation"]},{"id":"climcent-000203","url":"https://climateinsightsdirectory.org/document/climcent-000203","title":"More Extremely Hot Days","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2022-06-29","source_url":"https://www.climatecentral.org/climate-matters/more-extremely-hot-days","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Analysis of 246 U.S. locations shows that 74% have experienced an annual increase in extremely hot days since 1970, with Austin, TX seeing the largest increase. The document highlights that extreme heat risks are higher in traditionally cooler regions due to lack of acclimatization and infrastructure, and that vulnerable populations including children, seniors, and low-income households are disproportionately affected.","ai_generated":true,"unit":"climcent-000203#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1970 and 2021, 74% (184) of 246 analyzed U.S. locations reported an annual increase in extremely hot days, with 51% (126) of those locations seeing at least seven additional extremely hot days per year.","ai_generated":true,"unit":"climcent-000203#insight-1","date_modified":"2026-10-23"},{"text":"Austin, TX experienced the most significant increase in extreme heat, with 43 additional days per year exceeding 100°F.","ai_generated":true,"unit":"climcent-000203#insight-2","date_modified":"2026-10-23"},{"text":"The risk of heat-related hospitalizations is higher in traditionally cooler regions, such as the Northwest, West, and Northeast, because residents are less acclimatized and lack infrastructure like central air conditioning.","ai_generated":true,"unit":"climcent-000203#insight-3","date_modified":"2026-10-23"},{"text":"Certain populations are more vulnerable to excessive heat, specifically children, athletes, adults over 65, outdoor workers, low income households, and individuals with chronic medical conditions.","ai_generated":true,"unit":"climcent-000203#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme heat","public health","climate justice","infrastructure"],"geography_discussed":["Austin","Fairbanks","Miami","Phoenix","New York City","Northwest","West","Northeastern United States","South","Southeast","Wheeling"],"frame_perspective":[],"analysis_type":["statistical analysis","trend analysis"]},{"id":"clipolin-000478","url":"https://climateinsightsdirectory.org/document/clipolin-000478","title":"Crédito para Investimento da Agropecuária Brasileira e o Papel do BNDES","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2021-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/12/DQ-BNDES_PT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines BNDES's impact on Brazilian agricultural investment credit, noting that disbursements nearly quadrupled in real terms between 1995 and 2020. The bank's credit is heavily concentrated in crop activities, particularly soy, and the acquisition of harvesters and tractors. Geographically, the Center-West region has become the primary recipient of these funds, reflecting the expansion of the agricultural frontier. Unlike general rural credit in Brazil, which is dominated by public banks, BNDES equipment credit is primarily channeled through private commercial banks and manufacturer-owned banks.","ai_generated":true,"unit":"clipolin-000478#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"BNDES disbursements to the rural sector grew significantly between 1995 and 2020, nearly quadrupling in real terms, driven by government efforts to modernize Brazilian agriculture.","ai_generated":true,"unit":"clipolin-000478#insight-1","date_modified":"2026-10-23"},{"text":"BNDES credit is primarily concentrated in crop activities rather than livestock, with soy being the leading agricultural product financed for the purchase of machinery and equipment; soy's share of equipment credit rose from approximately 30% in 2008 to 61% in 2018.","ai_generated":true,"unit":"clipolin-000478#insight-2","date_modified":"2026-10-23"},{"text":"The most financed equipment types are harvesters and tractors, which together accounted for 60% of the total equipment credit volume in 2018.","ai_generated":true,"unit":"clipolin-000478#insight-3","date_modified":"2026-10-23"},{"text":"The Center-West region has become the largest recipient of equipment loans, reaching a 36% share of total resources in 2018, an increase of 10 percentage points between 2005 and 2018, aligning with the expansion of the agricultural frontier.","ai_generated":true,"unit":"clipolin-000478#insight-4","date_modified":"2026-10-23"},{"text":"BNDES equipment credit is predominantly distributed via private agents, specifically manufacturer banks (55%) and private commercial banks (35%) as of 2018, which differs from general Brazilian rural credit where public banks, especially Banco do Brasil, are the main operators.","ai_generated":true,"unit":"clipolin-000478#insight-5","date_modified":"2026-10-23"},{"text":"The indirect modality, where BNDES passes resources to other financial agents who assume the credit risk, is the dominant form of rural lending, representing 99% of the credit volume in 2020.","ai_generated":true,"unit":"clipolin-000478#insight-6","date_modified":"2026-10-23"},{"text":"The ABC Program is highlighted as a sustainability initiative that finances investments aimed at reducing environmental impacts and adopting low-carbon technologies.","ai_generated":true,"unit":"clipolin-000478#insight-7","date_modified":"2026-10-23"}],"climate_tags":["land use","deforestation","climate finance"],"geography_discussed":["Center-West","South","Southeast","Northeast","North"],"frame_perspective":[],"analysis_type":["financial analysis","policy evaluation","geographic distribution analysis"]},{"id":"rmi-000460","url":"https://climateinsightsdirectory.org/document/rmi-000460","title":"How to Build Clean Energy Portfolios","publisher":{"name":"RMI","organization":"rmi"},"document_type":"guide","language":"en","date_published":"2021-03-10","source_url":"https://rmi.org/resources/how-to-build-ceps/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that the US power sector faces a critical investment window between 2020 and 2030, with an estimated 420 GW of resource procurement needed. It advocates for a shift toward 'all-source', 'objective-aligned', and 'least-regrets' procurement practices to move away from legacy processes that reflect past conditions rather than emerging trends. The guide provides specific actionable recommendations for legislators, state commissions, and utilities to increase transparency, engage stakeholders, and better integrate distributed energy resources (DERs) into the planning and procurement cycle.","ai_generated":true,"unit":"rmi-000460#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Vertically integrated utilities in the US have a significant investment opportunity between 2020 and 2030, with an estimated need for at least 420 GW of resource procurement. The total capital required for this deployment is estimated to range from $420 billion for low-capital cost technologies to over $750 billion for clean energy portfolios.","ai_generated":true,"unit":"rmi-000460#insight-1","date_modified":"2026-10-23"},{"text":"The guide proposes three core principles for next-generation procurement: 'All-Source' to capture the value of interacting utility-scale and distributed resources; 'Objective-aligned' to address jurisdiction-specific values like decarbonization and resilience; and 'Least-regrets' to minimize cost risks through competition and technology cost declines.","ai_generated":true,"unit":"rmi-000460#insight-2","date_modified":"2026-10-23"},{"text":"To unlock competitive procurement, legislators should implement participative planning processes, incentivize the use of distributed energy resources (DERs) including energy efficiency, and establish statutes that require utilities to conduct all-source solicitations.","ai_generated":true,"unit":"rmi-000460#insight-3","date_modified":"2026-10-23"},{"text":"State commissions are encouraged to ensure that the need for new resources is transparent and linked to vetted planning, allow all resource providers to bid all their capabilities, and employ third-party independent evaluators to supervise the bid selection process.","ai_generated":true,"unit":"rmi-000460#insight-4","date_modified":"2026-10-23"},{"text":"Utilities should move away from internal cost estimates and instead use actual cost and operational data from competitive bids to inform their planning and procurement activities.","ai_generated":true,"unit":"rmi-000460#insight-5","date_modified":"2026-10-23"},{"text":"The document identifies specific regional drivers for procurement in the US, noting that the Southeast, Midwest, and West have the highest potential due to load growth, asset retirement, and renewable energy potential. For example, Virginia's procurement is driven by a goal to be 90% clean by 2035, while Colorado and Texas are primarily driven by the retirement of uneconomic fossil fuel plants.","ai_generated":true,"unit":"rmi-000460#insight-6","date_modified":"2026-10-23"}],"climate_tags":["distributed generation","energy efficiency","decarbonization","renewable energy","Integrated resource planning","renewable energy commercialization","Resilience (power system)"],"geography_discussed":["Southeast","Midwestern United States","West","Virginia","Colorado","Washington","Texas","California","New Mexico"],"frame_perspective":[],"analysis_type":["policy recommendations","practical guide"]},{"id":"clipolin-001238","url":"https://climateinsightsdirectory.org/document/clipolin-001238","title":"Política de Crédito Rural no Brasil","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2020-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/12/REL-Politica-de-Credito-Rural-no-Brasil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes Brazil's rural credit system, highlighting its complexity and fragmentation. It provides empirical evidence that rural credit, particularly when directed at small farmers, increases land and labor productivity and reduces deforestation by promoting the conversion of degraded pastures into cropland. The document argues for simplifying the credit system, increasing private sector participation, and strengthening the link between credit access and compliance with the Forest Code to ensure sustainable agricultural growth.","ai_generated":true,"unit":"clipolin-001238#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Brazil has the potential to nearly double its total agricultural production and increase cattle herds by 70% without further deforestation by converting degraded pastures to cropland and increasing productivity.","ai_generated":true,"unit":"clipolin-001238#insight-1","date_modified":"2026-10-23"},{"text":"The impact of rural credit on land use varies by producer size; while credit for small farmers (via Pronaf) increases forest area and reduces pasture, credit for large producers is associated with an increase in both cropland and pasture, leading to deforestation.","ai_generated":true,"unit":"clipolin-001238#insight-2","date_modified":"2026-10-23"},{"text":"The Brazilian rural credit system is highly complex and fragmented, with 16 sources of funds and 12 programs for the 2020/21 agricultural year, creating inefficiencies and artificial variations in credit access based on geography, property size, and income.","ai_generated":true,"unit":"clipolin-001238#insight-3","date_modified":"2026-10-23"},{"text":"Credit distribution is heavily concentrated in a few public institutions, with Banco do Brasil alone responsible for 43% of all credit provided in the 2019/20 agricultural year.","ai_generated":true,"unit":"clipolin-001238#insight-4","date_modified":"2026-10-23"},{"text":"The use of the 'fiscal module' (módulo fiscal) to determine eligibility for programs like Pronaf is outdated and causes distortions, as the module size varies from 5 to 110 hectares between municipalities.","ai_generated":true,"unit":"clipolin-001238#insight-5","date_modified":"2026-10-23"},{"text":"The ABC Program, designed to reduce greenhouse gas emissions in agriculture, has had limited success, with total loans never reaching the available amount and a downward trend in resources from 2014/15 to 2018/19.","ai_generated":true,"unit":"clipolin-001238#insight-6","date_modified":"2026-10-23"},{"text":"Linking credit to environmental compliance is an effective conservation tool; for example, CMN Resolution 3.545/2008, which conditioned credit on environmental rules, led to a 15% reduction in deforestation in the Amazon between 2008 and 2011.","ai_generated":true,"unit":"clipolin-001238#insight-7","date_modified":"2026-10-23"},{"text":"Recent policy shifts in the 2020/21 Plano Safra include a 10% increase in credit limits for producers with a validated Rural Environmental Registry (CAR), with the Central Bank signaling a potential increase to 20% for sustainable producers.","ai_generated":true,"unit":"clipolin-001238#insight-8","date_modified":"2026-10-23"}],"climate_tags":["deforestation","sustainable agriculture","land use","greenhouse gas emissions","low-carbon economy","Climate-smart agriculture","forest conservation","agricultural productivity","environmental regulation","climate finance"],"geography_discussed":["Amazon rainforest","Cerrado","North","Northeast","Center-West","South","Southeast"],"frame_perspective":[],"analysis_type":["empirical analysis","policy evaluation"]},{"id":"ucs-000076","url":"https://climateinsightsdirectory.org/document/ucs-000076","title":"Wildfires and Climate Change","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"fact sheet","language":"en","date_published":"2020-09-08","source_url":"https://www.ucs.org/resources/infographic-wildfires-and-climate-change","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate change is intensifying wildfires in the United States by raising temperatures and drying out forests, while a century of fire suppression has increased fuel loads. These fires cause significant loss of life, property destruction, and high federal costs, while simultaneously releasing greenhouse gases that further accelerate global warming.","ai_generated":true,"unit":"ucs-000076#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Since 2015, the United States has seen an average increase of approximately 100 large wildfires annually, characterized by more burned acreage and longer, more intense fire seasons.","ai_generated":true,"unit":"ucs-000076#insight-1","date_modified":"2026-10-23"},{"text":"Wildfires result in severe human and economic losses, as exemplified by the 2018 Camp Fire which caused at least 90 deaths and destroyed over 18,000 structures. Federal spending on firefighting averaged 2.4 billion dollars annually between 2014 and 2018, more than double the inflation-adjusted spending from 1994-1998.","ai_generated":true,"unit":"ucs-000076#insight-2","date_modified":"2026-10-23"},{"text":"Climate change drives wildfire risk by increasing temperatures, causing earlier snowmelt, and drying soils and plants. It is also linked to increased droughts, unusual rain patterns, and insect outbreaks that create dead tree stands.","ai_generated":true,"unit":"ucs-000076#insight-3","date_modified":"2026-10-23"},{"text":"Land management practices have contributed to risk; a century of suppressing almost all fires has led to denser forest growth and more fuel. While prescribed burning and thinning are used to lower density, they have been difficult to implement at scale, though they are more frequent in the southeast.","ai_generated":true,"unit":"ucs-000076#insight-4","date_modified":"2026-10-23"},{"text":"Wildfires create a feedback loop with climate change by releasing carbon dioxide and other global warming gases as they burn more land.","ai_generated":true,"unit":"ucs-000076#insight-5","date_modified":"2026-10-23"}],"climate_tags":["wildfire","climate change","carbon dioxide","greenhouse gas emissions","forest management","drought"],"geography_discussed":["Chicago","Western United States","Southeast"],"frame_perspective":[],"analysis_type":["causal analysis","impact assessment"]}]}