{"query_echo":{"q":"","filters":{"analysis_type":["simulation"]},"warnings":[]},"total":{"value":56,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=simulation&page=1","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=simulation&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":"clipolin-000363","url":"https://climateinsightsdirectory.org/document/clipolin-000363","title":"Quem Fica de Fora do Pronaf?","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"pt","date_published":"2026-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/04/Apendice-Pronaf-PT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document details a quantitative analysis of Pronaf access in Brazil, using 2017 Agricultural Census data. It employs linear regressions to assess how the presence of cooperatives and Technical Assistance and Rural Extension (ATER) services impact the share of family farmers accessing the program. The results indicate that both cooperatives and ATER have a statistically significant positive effect on Pronaf access, with the South region showing a positive correlation and the North, Northeast, and Southeast regions showing negative correlations relative to the baseline.","ai_generated":true,"unit":"clipolin-000363#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The presence of cooperatives and Technical Assistance and Rural Extension (ATER) services in a municipality are both positively and significantly associated with a higher share of family farmers accessing Pronaf.","ai_generated":true,"unit":"clipolin-000363#insight-1","date_modified":"2026-10-23"},{"text":"Regional analysis shows that the South region has a positive coefficient for Pronaf access, while the North, Northeast, and Southeast regions have negative coefficients.","ai_generated":true,"unit":"clipolin-000363#insight-2","date_modified":"2026-10-23"},{"text":"Illiteracy was included as a control variable in the linear model but did not yield significant results for any of the analyzed regions.","ai_generated":true,"unit":"clipolin-000363#insight-3","date_modified":"2026-10-23"},{"text":"Simulation results indicate a strong positive interaction effect between ATER and cooperatives regarding access to Pronaf.","ai_generated":true,"unit":"clipolin-000363#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["North Region","Northeast Region","Southeast Region","South Region","Center-West Region"],"frame_perspective":[],"analysis_type":["quantitative analysis","linear regression","simulation"]},{"id":"clipolin-000151","url":"https://climateinsightsdirectory.org/document/clipolin-000151","title":"The Reversing Deforestation Mechanism (RDM): The Forest-Climate Nexus","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2025-09-23","source_url":"https://www.climatepolicyinitiative.org/the-reversing-deforestation-mechanism-rdm-the-forest-climate-nexus-a-fit-for-purpose-framework-for-climate-impact/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report proposes the Reversing Deforestation Mechanism (RDM), a results-based payment system designed to scale up tropical forest restoration through jurisdictional agreements. Unlike existing frameworks like JREDD+ and TFFF, which focus on halting deforestation and maintaining standing forests, RDM incentivizes net carbon removal by compensating jurisdictions for carbon captured through restoration minus emissions from deforestation and degradation. The report simulates the potential of RDM to transform tropical forests into high-impact climate assets, highlighting its potential to generate significant revenues and carbon sequestration, particularly in the Brazilian Amazon.","ai_generated":true,"unit":"clipolin-000151#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The Reversing Deforestation Mechanism (RDM) is a results-based payment system that compensates jurisdictions for net carbon removal outcomes, calculated as carbon captured through forest restoration minus emissions from deforestation, forest degradation, and agricultural land-use activities.","ai_generated":true,"unit":"clipolin-000151#insight-1","date_modified":"2026-08-17"},{"text":"Simulations for the Brazilian Amazon suggest that at a carbon price of US$ 50 per ton of CO2, the RDM could generate approximately US$ 30 billion annually, potentially shifting the region's trajectory from emitting 16 GtCO2 over 30 years to capturing up to 18 GtCO2 through natural regeneration.","ai_generated":true,"unit":"clipolin-000151#insight-2","date_modified":"2026-08-17"},{"text":"A global simulation of restoring all tropical land deforested between 2001 and 2023 (over 180 million hectares) indicates that at a carbon price of US$ 50 per ton of CO2, the present value (PV) of future income flows would be roughly US$ 1.7 trillion across tropical forest countries.","ai_generated":true,"unit":"clipolin-000151#insight-3","date_modified":"2026-08-17"},{"text":"The RDM is designed to complement other frameworks: JREDD+ focuses on avoided deforestation, the Tropical Forest Forever Facility (TFFF) rewards the maintenance of standing forests, and RDM fills the gap by prioritizing forest restoration.","ai_generated":true,"unit":"clipolin-000151#insight-4","date_modified":"2026-08-17"},{"text":"To address the risk of 'defection'—where jurisdictions might revert to deforestation after carbon uptake slows (estimated to become a positive incentive after roughly 40 years)—the RDM proposes two permanence safeguards: a Permanence Fund funded by a small fee (less than US$ 3 per ton of CO2) and a forgivable loan structure.","ai_generated":true,"unit":"clipolin-000151#insight-5","date_modified":"2026-08-17"},{"text":"The report argues that RDM credits could be integrated into international regulated markets under Article 6 of the Paris Agreement as Internationally Transferable Mitigation Outcomes (ITMOs), potentially lowering compliance costs for high-income countries.","ai_generated":true,"unit":"clipolin-000151#insight-6","date_modified":"2026-08-17"}],"climate_tags":["forest restoration","carbon removals","carbon markets","tropical forests","nature-based solutions","climate finance"],"geography_discussed":["Brazil","Brazilian Amazon","Indonesia","Democratic Republic of the Congo","Gabon","Guyana"],"frame_perspective":[],"analysis_type":["Simulation","Policy Proposal","Comparative Analysis"]},{"id":"sei-000098","url":"https://climateinsightsdirectory.org/document/sei-000098","title":"Exposure to compound climate hazards in global agricultural trade","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2025-05-14","source_url":"https://www.sei.org/publications/exposure-compound-climate-hazards-global-agricultural-trade/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research analyzes the transmission of compound climate hazards—such as simultaneous temperature and precipitation extremes—through global agricultural trade networks. Using climate model simulations and trade data for four major crops, the study finds that in extreme simulated years, nearly one-third of the world's countries see 20% or more of their caloric supply exposed to these hazards. The authors highlight that countries with low diversification in their number of suppliers and the regional climates of those suppliers are most vulnerable, with some importing up to 93% of calories exposed to compound hazards.","ai_generated":true,"unit":"sei-000098#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the most extreme simulated year, nearly one-third of the world's countries have 20% or more of their caloric supply exposed to compound heat and precipitation hazards.","ai_generated":true,"unit":"sei-000098#insight-1","date_modified":"2026-10-23"},{"text":"Countries that lack diversification in the number of their suppliers and the regional climates of those suppliers are more susceptible to importing higher fractions of calories exposed to compound hazards, reaching levels up to 93%.","ai_generated":true,"unit":"sei-000098#insight-2","date_modified":"2026-10-23"}],"climate_tags":["food security"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative","simulation"]},{"id":"iai-000198","url":"https://climateinsightsdirectory.org/document/iai-000198","title":"Land cover change effects on the climate of the La Plata Basin","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":"2025-01-17","source_url":"https://iai.int/es/pub_acad/land-cover-change-effects-on-the-climate-of-the-la-plata-basin/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study uses the Weather Research and Forecasting Model to simulate the impact of basin-wide agricultural expansion in the La Plata River basin. It finds divergent regional climate responses: the northern region experiences decreased temperatures and precipitation due to increased albedo and moisture advection, while the southern region sees increased temperatures and precipitation due to decreased albedo and altered moisture flux convergence. These changes also influence precipitation patterns over the South Atlantic Ocean.","ai_generated":true,"unit":"iai-000198#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the northern part of the La Plata River basin, replacing forests and savanna with crops increases albedo, which reduces sensible heat flux and near-surface temperature. Additionally, a decrease in surface roughness length increases low-level winds, causing more moisture to be advected out of the region, which reduces vertically integrated moisture flux convergence (VIMFC) and precipitation.","ai_generated":true,"unit":"iai-000198#insight-1","date_modified":"2026-10-23"},{"text":"In the southern part of the La Plata River basin, the transition from grasslands to crops reduces albedo, leading to an increase in near-surface temperature. The smaller reduction in surface roughness length compared to the north reduces northerly moisture fluxes, resulting in a net increase in VIMFC and precipitation.","ai_generated":true,"unit":"iai-000198#insight-2","date_modified":"2026-10-23"},{"text":"Land cover changes within the basin trigger advective processes that alter circulation and precipitation patterns over the South Atlantic Ocean.","ai_generated":true,"unit":"iai-000198#insight-3","date_modified":"2026-10-23"}],"climate_tags":["deforestation","agriculture","precipitation"],"geography_discussed":["South America","South Atlantic Ocean"],"frame_perspective":[],"analysis_type":["simulation"]},{"id":"iai-000055","url":"https://climateinsightsdirectory.org/document/iai-000055","title":"El Niño-driven changes in global fire 2015/16","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":"2025-01-09","source_url":"https://iai.int/es/pub_acad/el-nino-driven-changes-in-global-fire-2015-16/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that the 2015/16 El Niño led to a 4% increase in global burned area and a 5% increase in fire emissions compared to a 'No El Niño' scenario, resulting in a 4% reduction in the terrestrial carbon sink. South America experienced the most significant impact, with a 13% increase in burned area and emitted carbon, primarily driven by temperature increases between August and October in central-southern Brazil.","ai_generated":true,"unit":"iai-000055#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2015/16 El Niño caused a global increase in burned area by 4% and fire emissions by 5% when compared to a scenario without El Niño, which contributed to a 4% decrease in the terrestrial carbon sink.","ai_generated":true,"unit":"iai-000055#insight-1","date_modified":"2026-10-23"},{"text":"South America exhibited the most substantial fire response to the El Niño, recording a 13% increase in both burned area and emitted carbon, which aligned with the most significant decrease in carbon uptake.","ai_generated":true,"unit":"iai-000055#insight-2","date_modified":"2026-10-23"},{"text":"In central-southern Brazil, peak fire activity occurred from August to October, with temperature identified as the primary driver for the increase in burned area during this timeframe.","ai_generated":true,"unit":"iai-000055#insight-3","date_modified":"2026-10-23"},{"text":"The model indicates variable precipitation responses, with drier conditions in East Asia, southern Africa, and northern South America, while most global areas experienced temperature increases.","ai_generated":true,"unit":"iai-000055#insight-4","date_modified":"2026-10-23"}],"climate_tags":["El Niño southern oscillation","wildfire","carbon sink","precipitation","temperature"],"geography_discussed":["South America","Africa","Asia","Brazil"],"frame_perspective":[],"analysis_type":["simulation","comparative analysis"]},{"id":"polint-000047","url":"https://climateinsightsdirectory.org/document/polint-000047","title":"Distributional Impacts of Carbon Capture in the US Power Sector","publisher":{"name":"Institute for Policy Integrity","organization":"institute-for-policy-integrity"},"document_type":"research paper","language":"en","date_published":"2024-11-01","source_url":"https://policyintegrity.org/publications/detail/distributional-impacts-of-carbon-capture-in-the-us-power-sector","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research examines how CCUS deployment in the U.S. power sector affects air pollution and energy costs, finding that the outcomes depend on the underlying policy and that Black and low-income populations experience the most significant impacts.","ai_generated":true,"unit":"polint-000047#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The impact of CCUS on health outcomes and costs is dependent on the policy framework; specifically, a policy that incentivizes coal generation could lead to improved health outcomes and reduced costs through CCUS.","ai_generated":true,"unit":"polint-000047#insight-1","date_modified":"2026-10-23"},{"text":"The effects of CCUS on PM2.5 air pollution, whether positive or negative, are most pronounced for low-income and Black populations.","ai_generated":true,"unit":"polint-000047#insight-2","date_modified":"2026-10-23"},{"text":"Allowing the deployment of CCUS can result in energy-cost savings, with particular benefits for lower-income communities.","ai_generated":true,"unit":"polint-000047#insight-3","date_modified":"2026-10-23"}],"climate_tags":["decarbonization","air pollution","energy costs","climate policy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["simulation","sensitivity analysis"]},{"id":"iai-000093","url":"https://climateinsightsdirectory.org/document/iai-000093","title":"Food and floods. Shallow groundwater and agricultural land management in the Pampas","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"en","date_published":"2024-10-08","source_url":"https://iai.int/en/alimentos-e-inundaciones/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the relationship between agricultural land management and groundwater dynamics in the Pampas. It finds that annual crop rotations (soybean-wheat-corn) lead to higher groundwater levels and more frequent flooding compared to perennial alfalfa pastures, which maintain deeper water tables through higher annual transpiration. The text argues that planting water-logging tolerant cover crops or pastures during high-risk periods can reduce waterlogging frequency and increase the number of years suitable for farming by 40%.","ai_generated":true,"unit":"iai-000093#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Perennial alfalfa pastures maintain groundwater tables at greater average depths (-4.4 m) compared to annual wheat-soybean-maize rotations (-2 m) and result in significantly fewer flooding events (2 versus 47 over a 100-year simulation).","ai_generated":true,"unit":"iai-000093#insight-1","date_modified":"2026-10-23"},{"text":"Annual crop production increases flood risk because fields remain bare and without plant water use for parts of the year, allowing surplus water to accumulate, whereas deep-rooted, year-round alfalfa keeps soils drier.","ai_generated":true,"unit":"iai-000093#insight-2","date_modified":"2026-10-23"},{"text":"The 1997-2003 flood event in the western Pampas was associated with average groundwater levels rising by 2.3 meters, which covered 27% of the area and caused significant economic losses.","ai_generated":true,"unit":"iai-000093#insight-3","date_modified":"2026-10-23"},{"text":"Integrating water-logging tolerant cover crops, such as ryegrass or alfalfa, during high-risk periods can increase the number of years suitable for farming by 40% and reduce the frequency of waterlogging.","ai_generated":true,"unit":"iai-000093#insight-4","date_modified":"2026-10-23"}],"climate_tags":["flood","ecosystem service"],"geography_discussed":["Argentina"],"frame_perspective":[],"analysis_type":["simulation","field observation"]},{"id":"sei-000289","url":"https://climateinsightsdirectory.org/document/sei-000289","title":"What is still at stake in the Gran Chaco?","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-06-27","source_url":"https://www.sei.org/publications/what-still-at-stake-gran-chaco/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzes land-system changes in the Gran Chaco from 1985 to 2015 and simulates futures up to 2045 across nine scenarios. It finds that the 'Agribusiness' narrative leads to the most severe social-ecological impacts, with 10% of the region already following this pathway. Potential hotspots for vegetation loss include western and southern Argentinian Chaco and western Paraguayan Chaco. The authors argue that stricter land-use and conservation planning are necessary to protect the region's biodiversity, carbon density, and forest-dependent communities.","ai_generated":true,"unit":"sei-000289#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Since 1985, large areas of woodland in the Gran Chaco have been replaced by intensified agriculture and mosaics of agriculture and remaining natural vegetation.","ai_generated":true,"unit":"sei-000289#insight-1","date_modified":"2026-10-23"},{"text":"Simulations for 2045 identify potential hotspots of natural vegetation loss in the western and southern Argentinian Chaco and the western Paraguayan Chaco, driven by both new and existing agricultural frontiers.","ai_generated":true,"unit":"sei-000289#insight-2","date_modified":"2026-10-23"},{"text":"Among the tested policy narratives, Agribusiness scenarios cause the strongest social-ecological impacts, whereas the Integration narrative reduces social impacts and Ecomodernism reduces ecological impacts. Currently, 10% of the Chaco follows a pathway consistent with the Agribusiness narrative.","ai_generated":true,"unit":"sei-000289#insight-3","date_modified":"2026-10-23"}],"climate_tags":["deforestation","land-use planning","biodiversity"],"geography_discussed":["Argentina","Paraguay"],"frame_perspective":[],"analysis_type":["simulation","scenario analysis","historical reconstruction"]},{"id":"iejza-000413","url":"https://climateinsightsdirectory.org/document/iejza-000413","title":"MACROECONOMIC AND DEVELOPMENTAL IMPACTS OF SELECTED BASIC INCOME GRANT PATHWAYS FOR SOUTH AFRICA","publisher":{"name":"Institute for Economic Justice","organization":"institute-for-economic-justice"},"document_type":"research paper","language":"en","date_published":"2023-12","source_url":"https://iej.org.za/wp-content/uploads/2023/12/Macroeconomic-and-Developmental-Impacts-of-Selected-BIG-Pathways-for-South-Africa.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research paper assesses three Basic Income Grant (BIG) scenarios for South Africa: Low, Medium, and High Ambition. Using the Dynamically Integrated Macro-Micro Simulation Model (DIMMSIM), the author argues that a BIG can be funded through a combination of a wealth tax, a Social Security Tax (SST), and increased VAT revenue without requiring changes to existing income tax or VAT rates. The findings suggest that such a programme would significantly reduce poverty and inequality while simultaneously boosting GDP growth and employment, contradicting predictions from neoclassical CGE and DSGE models that suggest such transfers lead to economic contraction.","ai_generated":true,"unit":"iejza-000413#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The three BIG scenarios are projected to significantly reduce national poverty and the poverty gap between 2022 and 2030. The national poverty rate is expected to decline from 38.7% to 27.4% under the Low-Ambition scenario, 17.4% under the Medium-Ambition scenario, and 15.1% under the High-Ambition scenario.","ai_generated":true,"unit":"iejza-000413#insight-1","date_modified":"2026-10-23"},{"text":"The depth of poverty, measured by the poverty gap, is projected to decline from 13% in 2022 to 4.7% (Low-Ambition), 2.3% (Medium-Ambition), and 2.1% (High-Ambition) by 2030.","ai_generated":true,"unit":"iejza-000413#insight-2","date_modified":"2026-10-23"},{"text":"Income inequality, measured by the Gini-Coefficient, is projected to decline from 68.1% in 2022 to 57.7% (Low-Ambition), 56.0% (Medium-Ambition), and 55.1% (High-Ambition) by 2030.","ai_generated":true,"unit":"iejza-000413#insight-3","date_modified":"2026-10-23"},{"text":"A BIG programme is projected to increase average annual real GDP growth relative to a Business-As-Usual (BAU) scenario by 0.6 percentage points (Low-Ambition), 1.0 percentage point (Medium-Ambition), and 1.3 percentage points (High-Ambition).","ai_generated":true,"unit":"iejza-000413#insight-4","date_modified":"2026-10-23"},{"text":"The average annual unemployment rate is projected to decrease from 32.1% (BAU) to 29.7% (Low-Ambition), 28.2% (Medium-Ambition), and 27.2% (High-Ambition).","ai_generated":true,"unit":"iejza-000413#insight-5","date_modified":"2026-10-23"},{"text":"The BIG programmes can be funded without increasing income tax or VAT rates. Funding pathways include a wealth tax (0.5% to 1.0%), a Social Security Tax (SST) of 3% to 4% on formal employment wages, and additional VAT revenue generated by increased Gross Domestic Expenditure (GDE).","ai_generated":true,"unit":"iejza-000413#insight-6","date_modified":"2026-10-23"},{"text":"The average annual gross cost of the three scenarios as a percentage of GDP is estimated at 1.55% (Low-Ambition), 2.60% (Medium-Ambition), and 3.36% (High-Ambition).","ai_generated":true,"unit":"iejza-000413#insight-7","date_modified":"2026-10-23"},{"text":"The number of grant beneficiaries is projected to grow by 2030 to 13.3 million (Low-Ambition), 14.9 million (Medium-Ambition), and 19.8 million (High-Ambition).","ai_generated":true,"unit":"iejza-000413#insight-8","date_modified":"2026-10-23"}],"climate_tags":["poverty reduction","fiscal policy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative","simulation","comparative"]},{"id":"catf-001267","url":"https://climateinsightsdirectory.org/document/catf-001267","title":"Zero Emission Long-Haul Heavy-Duty Trucking","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"report","language":"en","date_published":"2023-03","source_url":"https://cdn.catf.us/wp-content/uploads/2023/03/13145547/zero-emission-long-haul-heavy-duty-trucking-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis concludes that for long-haul heavy-duty trucking, hydrogen fuel cell vehicles (FCEVs) outperform battery electric vehicles (BEVs) in terms of refueling stops, total dwell time, and cargo capacity. While BEVs offer higher energy efficiency, their heavy batteries significantly reduce payload and require a more extensive and larger infrastructure buildout. Infrastructure modeling indicates that a full transition to BEVs would require stations approximately 10 times the size of current diesel stations, whereas FCEV stations, while still larger than diesel, are more comparable, especially if updated safety regulations are adopted. The report suggests that while BEVs will be important for the broader transition, FCEVs are the most efficient strategy for the specific challenges of long-haul heavy-duty transport.","ai_generated":true,"unit":"catf-001267#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"For long-haul operations, FCEVs are more operationally viable than BEVs because they require fewer stops, less total fueling time, and preserve more cargo space.","ai_generated":true,"unit":"catf-001267#insight-1","date_modified":"2026-10-23"},{"text":"In a simulated route from Los Angeles to Newark, a BEV with a 1000 kWh battery required 8 stops and 43 hours and 48 minutes of total dwell time, whereas an FCEV required 3 stops and 1 hour and 24 minutes of fueling time.","ai_generated":true,"unit":"catf-001267#insight-2","date_modified":"2026-10-23"},{"text":"BEVs suffer from significant cargo capacity loss due to battery weight; a 1000 kWh battery can result in a loss of between 1,669 and 8,832 kilograms (3,679 to 19,472 pounds) of cargo capacity.","ai_generated":true,"unit":"catf-001267#insight-3","date_modified":"2026-10-23"},{"text":"Infrastructure requirements for a full transition to BEVs are more demanding than for FCEVs; at a density ratio reflecting current US truck populations, BEV stations would need a peak power of approximately 22 MW and 121 simultaneous chargers.","ai_generated":true,"unit":"catf-001267#insight-4","date_modified":"2026-10-23"},{"text":"Hydrogen infrastructure requirements for the same density ratio include a peak aggregate dispenser flow rate of 2,700 kg per hour and 24,000 kg of daily storage, with only 17 simultaneous dispensers needed.","ai_generated":true,"unit":"catf-001267#insight-5","date_modified":"2026-10-23"},{"text":"Charging stations would need to be 10 times larger than representative 12-dispenser diesel stations, while FCEV stations would be 5.26 times larger under 2016 NFPA regulations.","ai_generated":true,"unit":"catf-001267#insight-6","date_modified":"2026-10-23"},{"text":"If updated 2020 NFPA regulations are adopted, the footprint of hydrogen stations could be reduced by 53%, making them 2.80 times larger than diesel stations.","ai_generated":true,"unit":"catf-001267#insight-7","date_modified":"2026-10-23"},{"text":"While BEVs have the best fuel economy at 17.39 mpdge, their limited volumetric energy density results in a range of 470 miles, compared to 1,019 miles for FCEVs and 2,123 miles for diesel.","ai_generated":true,"unit":"catf-001267#insight-8","date_modified":"2026-10-23"}],"climate_tags":["battery electric vehicle","zero-emissions vehicle","electric vehicle charging network","decarbonization","greenhouse gas emissions","total cost of ownership"],"geography_discussed":["Los Angeles","Newark","New Jersey","California","European Union"],"frame_perspective":[],"analysis_type":["comparative analysis","simulation","infrastructure assessment"]},{"id":"caad-000004","url":"https://climateinsightsdirectory.org/document/caad-000004","title":"The Climate Divide: How Facebook’s Algorithm Amplifies Climate Disinformation","publisher":{"name":"Climate Action Against Disinformation","organization":"climate-action-against-disinformation"},"document_type":"report","language":"en","date_published":"2022-03-28","source_url":"https://caad.info/analysis/reports/the-climate-divide-how-facebooks-algorithm-amplifies-climate-disinformation-2/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that Facebook's algorithm amplifies climate scepticism by recommending pages containing disinformation to users who engage with climate-sceptic content, contradicting the company's public commitments.","ai_generated":true,"unit":"caad-000004#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A simulation of climate-sceptic user experiences revealed that Facebook's algorithm frequently recommended content containing climate disinformation, including claims that the climate crisis is a hoax, temperatures follow natural cycles, and warming models are inaccurate.","ai_generated":true,"unit":"caad-000004#insight-1","date_modified":"2026-10-23"},{"text":"Out of 18 pages recommended during the simulation, 17 contained climate disinformation, and two-thirds of those pages were exclusively dedicated to such disinformation.","ai_generated":true,"unit":"caad-000004#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["European Union","United States"],"frame_perspective":[],"analysis_type":["simulation","policy recommendation"]},{"id":"glowit-000239","url":"https://climateinsightsdirectory.org/document/glowit-000239","title":"THE CLIMATE DIVIDE","publisher":{"name":"Global Witness","organization":"global-witness"},"document_type":"report","language":"en","date_published":"2022-03","source_url":"https://globalwitness.org/documents/109/The_Climate_Divide_-_March_2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that Facebook's algorithm actively recommends climate disinformation to users who show an initial interest in climate-sceptic content, often leading them toward more extreme conspiracy theories. Despite the company's stated commitment to combat misinformation through its 'climate science centre' and flagging systems, the investigation found that a vast majority of recommended content for a sceptical user was disinformation, with only a small percentage of such posts carrying informational flags. The report argues that this environment polarises public opinion and hinders the implementation of climate mitigation policies, recommending that governments implement legislative oversight and algorithmic transparency, similar to the European Union's Digital Services Act.","ai_generated":true,"unit":"glowit-000239#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Facebook's algorithm recommends climate disinformation to users who express interest in climate-sceptic content, creating 'filter bubbles' that affirm existing beliefs to maximise user engagement and profit.","ai_generated":true,"unit":"glowit-000239#insight-1","date_modified":"2026-10-23"},{"text":"In a simulation using a climate-sceptic user profile, 100% of the content graded across the first three recommended climate pages was climate disinformation, falling into either 'distract and delay' or 'denial' categories.","ai_generated":true,"unit":"glowit-000239#insight-2","date_modified":"2026-10-23"},{"text":"The algorithm may radicalise users by directing them from 'distract and delay' narratives toward more extreme climate denial and unrelated conspiracy theories, such as 'chem trails'.","ai_generated":true,"unit":"glowit-000239#insight-3","date_modified":"2026-10-23"},{"text":"Facebook's efforts to mitigate disinformation are insufficient; only 22% of analysed climate disinformation posts had a climate science centre flag, and only 34% of climate denial content was flagged.","ai_generated":true,"unit":"glowit-000239#insight-4","date_modified":"2026-10-23"},{"text":"There is a stark contrast in user experience based on initial interaction: while sceptical users are pushed toward disinformation, users who like the IPCC page are recommended reliable climate science content.","ai_generated":true,"unit":"glowit-000239#insight-5","date_modified":"2026-10-23"},{"text":"Climate disinformation contributes to public polarisation and reduces support for mitigation policies, which hinders the ability of policymakers to take action.","ai_generated":true,"unit":"glowit-000239#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation","greenwashing"],"geography_discussed":["United Kingdom","United States","European Union"],"frame_perspective":[],"analysis_type":["investigation","simulation"]},{"id":"clipolin-000091","url":"https://climateinsightsdirectory.org/document/clipolin-000091","title":"Indeks Desa Membangun Plus (IDM+): Enhancing Direct Incentives for Sustainable Land Use in Indonesian Villages","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2020-11-05","source_url":"https://www.climatepolicyinitiative.org/publication/indeks-desa-membangun-plus-idm-enhancing-direct-incentives-for-sustainable-land-use-in-indonesian-villages/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that existing village-level evaluation tools in Indonesia, such as the IDM and IPD, are inadequate for measuring environmental performance and mainstreaming Sustainable Development Goals (SDGs). To address this, the Climate Policy Initiative (CPI) proposes the Sustainable Village Development Index (IDM+), which adds 10 ecological indicators covering land-use, natural resource management, and climate actions to the existing index. Using Berau District in East Kalimantan as a case study, the paper demonstrates how IDM+ can be linked to fiscal instruments like Village Fund Allocation (ADD) and Financial Assistance (Bantuan Keuangan Kabupaten) to reward high-performing villages while providing affirmative support to low-performing ones. The author recommends that the central government incorporate IDM+ into the national IDM and that local governments ensure transparent implementation and capacity building.","ai_generated":true,"unit":"clipolin-000091#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current village-level evaluation tools, specifically the Village Development Evaluation (IPD) and Village Development Index (IDM), fail to holistically measure environmental performance. The IPD focuses on socio-economic aspects and disaster resilience, while the IDM's ecological resilience index is limited to a narrow scope of disaster risk management and environmental quality.","ai_generated":true,"unit":"clipolin-000091#insight-1","date_modified":"2026-10-23"},{"text":"Despite a national framework for SDGs and their inclusion in Indonesia's Mid-Term Development Plan (RPJMN), there are no active SDG evaluation indicators used by local governments to determine fiscal transfers to villages.","ai_generated":true,"unit":"clipolin-000091#insight-2","date_modified":"2026-10-23"},{"text":"The proposed Sustainable Village Development Index (IDM+) enhances the existing index by adding 10 ecological indicators divided into two categories: land-use and natural resource management (including village spatial planning and land-use innovation) and climate actions (including renewable energy, waste management, and climate adaptation).","ai_generated":true,"unit":"clipolin-000091#insight-3","date_modified":"2026-10-23"},{"text":"A case study of 100 villages in Berau District, East Kalimantan, revealed that most villages have 'Very Low' (48/100) or 'Low' (35/100) environmental performance. The strongest performance was in agricultural commodities diversification, while village spatial planning and social forestry showed the lowest performance.","ai_generated":true,"unit":"clipolin-000091#insight-4","date_modified":"2026-10-23"},{"text":"Simulation in Berau suggests using a blend of fiscal instruments: Village Fund Allocation (ADD) to incentivize high-performing villages and Financial Assistance to support low-performing villages as affirmative action. High-performing villages could gain an average of IDR 200 million (a 12-18% increase) from ADD, but this would necessitate reductions for poor performers unless supplemented by non-government funding.","ai_generated":true,"unit":"clipolin-000091#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate change mitigation","renewable energy","waste management","Sustainable Development Goals","Low carbon development","natural resource management"],"geography_discussed":["Berau","East Kalimantan","Jayapura","Nunukan","North Kalimantan"],"frame_perspective":[],"analysis_type":["policy proposal","case study","simulation"]},{"id":"cdkn-000761","url":"https://climateinsightsdirectory.org/document/cdkn-000761","title":"social-lottery_ethiopia-game_hanna-teen-girl-607dc7e8c280702b.pdf","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2020-10-10","source_url":"https://cdkn.org/sites/default/files/files/Social-Lottery_Ethiopia-game_Hanna-teen-girl.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes the life of Hanna, a 13-year-old girl in Ethiopia facing severe hardships due to drought. Her daily life involves attending school and performing heavy household chores, specifically walking long distances to fetch water, which has become more difficult as drought increases wait times at boreholes and raises concerns about water contamination. The drought has caused significant economic instability; her father left for an Internal Displaced Persons camp with the family savings, leaving her mother to sell small food items to cover basic expenses and sanitary products. Consequently, Hanna is skipping meals due to rising food prices and lacks savings. While she is interested in climate-smart agricultural and livestock projects to improve local productivity and potentially convince her to stay in her community, her capacity to participate is limited by her age, lack of access to loans, and the time demands of her chores and studies.","ai_generated":true,"unit":"cdkn-000761#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Drought has severely impacted the household's financial stability and food security, leading to the loss of savings when the father left for an Internal Displaced Persons camp and forcing the daughter to skip meals as food prices rise.","ai_generated":true,"unit":"cdkn-000761#insight-1","date_modified":"2026-10-23"},{"text":"Water scarcity caused by drought has increased the labor burden on children and raised health concerns regarding water quality.","ai_generated":true,"unit":"cdkn-000761#insight-2","date_modified":"2026-10-23"}],"climate_tags":["drought","water scarcity","food security","Climate-smart agriculture"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["simulation","persona"]},{"id":"cdkn-000764","url":"https://climateinsightsdirectory.org/document/cdkn-000764","title":"social-lottery_ethiopia-game_sitra-sex-worker-e3913648d4c72e84.pdf","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2020-10-10","source_url":"https://cdkn.org/sites/default/files/files/Social-Lottery_Ethiopia-game_Sitra-sex-worker.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This document is a role-playing scenario for a 'social lottery' game designed to simulate the experiences of a 22-year-old commercial sex worker living with HIV in Ethiopia during a drought.","ai_generated":true,"unit":"cdkn-000764#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The scenario highlights how drought impacts marginalized individuals through the rising cost of food due to effects on crops and livestock, as well as increased difficulty or cost in accessing water from wells or bottled sources.","ai_generated":true,"unit":"cdkn-000764#insight-1","date_modified":"2026-08-17"},{"text":"The character faces significant social and health barriers to community engagement, including chronic illness, lack of energy, and being ostracised by family, which prevents them from attending neighbourhood meetings about the drought.","ai_generated":true,"unit":"cdkn-000764#insight-2","date_modified":"2026-08-17"},{"text":"Proposed community interventions to mitigate drought impacts include an organised network of volunteers for practical help, a communal kitchen garden utilizing water-saving technologies for nutritious food, and increased microcredit for women.","ai_generated":true,"unit":"cdkn-000764#insight-3","date_modified":"2026-08-17"}],"climate_tags":["drought","water security","food security","social vulnerability","gender"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["simulation","role-play"]},{"id":"iisd-003138","url":"https://climateinsightsdirectory.org/document/iisd-003138","title":"Integration of Climate Data in the SAVi Buildings Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-buildings-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how authoritative climate data from the Copernicus Climate Data Store (CDS) is integrated into the SAVi Buildings model. It provides a literature review on climate impacts on buildings—covering energy demand, rainwater harvesting, and climate hazards—and explains the methodology for translating this data into performance indicators. Simulation results demonstrate that using CDS climate data significantly alters projections compared to 'no climate' scenarios, specifically showing a 23-fold increase in forecasted rainwater harvesting yields and a reduction in projected energy expenditures for heating and cooling.","ai_generated":true,"unit":"iisd-003138#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The integration of Copernicus Climate Data allows the SAVi model to generate more sophisticated analyses regarding the costs of climate-related externalities and risks for building infrastructure.","ai_generated":true,"unit":"iisd-003138#insight-1","date_modified":"2026-10-23"},{"text":"Using CDS climate data for rainwater harvesting yields results that are nearly 23 times higher than those produced by the previous 'no climate' scenario; specifically, average annual yields rose from 134.7 liters per m2 to 3,068.6 liters per m2 between 2020 and 2100.","ai_generated":true,"unit":"iisd-003138#insight-2","date_modified":"2026-10-23"},{"text":"Climate impacts on rooftop solar PV generation lead to a reduction in efficiency as temperatures exceed optimal thresholds, resulting in a 5.4% average reduction in the load factor compared to a no-impact scenario.","ai_generated":true,"unit":"iisd-003138#insight-3","date_modified":"2026-10-23"},{"text":"In a simulation for Johannesburg using the IPSL RCP8.5 scenario, Heating Degree Days (HDD) are projected to decline by 82% over 80 years, while Cooling Degree Days (CDD) are projected to increase from zero to 204 days per year.","ai_generated":true,"unit":"iisd-003138#insight-4","date_modified":"2026-10-23"},{"text":"The use of CDS climate impact scenarios reveals that the initial SAVi model overestimated energy use and costs; energy expenditure for heating was 58.5% lower and for cooling 19.2% lower in the CDS scenario compared to the no-impact scenario.","ai_generated":true,"unit":"iisd-003138#insight-5","date_modified":"2026-10-23"},{"text":"Literature indicates that lightning strike frequency is expected to increase by 12% for every 1°C rise in global temperatures, potentially leading to a 50% increase in strikes by the year 2100.","ai_generated":true,"unit":"iisd-003138#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies specific CDS datasets used for integration, including ERA5-Land hourly and monthly data and CMIP5 daily and monthly data on pressure levels.","ai_generated":true,"unit":"iisd-003138#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","rooftop photovoltaic system","rainwater harvesting","climate finance","Climate risk assessment"],"geography_discussed":["Johannesburg","People's Republic of China","Guangzhou","United States","Los Angeles"],"frame_perspective":[],"analysis_type":["technical report","simulation","literature review"]},{"id":"iisd-003139","url":"https://climateinsightsdirectory.org/document/iisd-003139","title":"Integration of Climate Data in the SAVi Energy Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-energy-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate variables from the Copernicus Climate Data Store (CDS) are integrated into the SAVi Energy model to quantify the impact of climate change on various power generation technologies. It provides a comprehensive literature review of how variables like temperature, wind speed, and precipitation affect the load factor and thermal efficiency of coal, gas, nuclear, biomass, hydro, solar, and wind power, as well as the efficiency of the electricity grid. The report includes a simulation for Johannesburg, South Africa, demonstrating that rising temperatures and changing precipitation patterns can significantly reduce the load factor and revenues for thermal and hydropower assets, while potentially increasing the load factor for wind energy.","ai_generated":true,"unit":"iisd-003139#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Wind power generation is sensitive to wind speed; turbines fail to produce electricity when wind is too low and lose efficiency or stop generating when wind speed exceeds a cut-out limit.","ai_generated":true,"unit":"iisd-003139#insight-1","date_modified":"2026-10-23"},{"text":"Solar PV efficiency is negatively impacted by air temperature and positively influenced by solar radiation and wind speed. Literature suggests a 1°C increase in temperature can decrease efficiency by up to 2%, while a 1 unit (W/m2) increase in irradiance can increase output by 5%.","ai_generated":true,"unit":"iisd-003139#insight-2","date_modified":"2026-10-23"},{"text":"Dust and ash accumulation on solar panels significantly reduces efficiency; for example, ash accumulation of 0.4 mg/cm2 can lead to a 1.5% efficiency decrease or nearly 30% energy reduction per hour.","ai_generated":true,"unit":"iisd-003139#insight-3","date_modified":"2026-10-23"},{"text":"Hydropower generation is highly sensitive to precipitation and river discharge, with a 1% change in either typically resulting in a 1% change in power generation.","ai_generated":true,"unit":"iisd-003139#insight-4","date_modified":"2026-10-23"},{"text":"Nuclear power plant efficiency and output are negatively affected by increasing water temperatures used for cooling. An increase of 1°C in cooling water inlet temperature can decrease thermal efficiency by 0.16% and net power output by approximately 0.39%.","ai_generated":true,"unit":"iisd-003139#insight-5","date_modified":"2026-10-23"},{"text":"Electricity grid efficiency declines as air temperature increases, with network capacity falling by approximately 1% for each 1°C of temperature increase.","ai_generated":true,"unit":"iisd-003139#insight-6","date_modified":"2026-10-23"},{"text":"In a simulation for Johannesburg, South Africa, climate impacts are projected to cause significant load factor reductions for thermal producers (coal, gas, nuclear) starting between 2050 and 2060, with coal's real load factor potentially dropping from 88.64% to 60.65% by 2100.","ai_generated":true,"unit":"iisd-003139#insight-7","date_modified":"2026-10-23"},{"text":"The Johannesburg simulation indicates that while thermal and solar load factors decline, wind power load factors are expected to increase on average by 4.5% by 2100 due to higher future wind speeds.","ai_generated":true,"unit":"iisd-003139#insight-8","date_modified":"2026-10-23"},{"text":"Economic analysis of the Johannesburg simulation shows a net reduction between 5.15% and 8.54% in cumulative revenues for most technologies due to lower capacity utilization, except for onshore wind, which shows a 9.88% increase in cumulative revenues.","ai_generated":true,"unit":"iisd-003139#insight-9","date_modified":"2026-10-23"},{"text":"Reduced grid efficiency due to temperature increases is projected to reduce average annual revenues for power producers in the Johannesburg context by 3.4% compared to a no-climate scenario, totaling ZAR 10.42 billion in cumulative losses between 2022 and 2100.","ai_generated":true,"unit":"iisd-003139#insight-10","date_modified":"2026-10-23"}],"climate_tags":["hydropower","gas-fired power station","coal power","nuclear power","geothermal power","climate finance","climate risk"],"geography_discussed":["Scotland","Black Sea","Greece","United States","Brazil","Zambezi River Basin","Dubai","Saudi Arabia","Vietnam","India","Malaysia","France","World"],"frame_perspective":[],"analysis_type":["literature review","model integration","simulation","cost-benefit analysis"]},{"id":"iisd-003141","url":"https://climateinsightsdirectory.org/document/iisd-003141","title":"The Integration of Climate Data into the SAVi model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate indicators from the Copernicus Climate Data Store (CDS) are integrated into the SAVi tool to improve the analysis of infrastructure resilience. It covers a literature review of climate impacts on energy, irrigation, wastewater, buildings, roads, and nature-based infrastructure, providing specific equations to link climate variables to asset performance. The report includes simulation results for Johannesburg, South Africa, demonstrating how climate variables like temperature and precipitation affect load factors, thermal efficiency, and maintenance costs, ultimately impacting the economic viability and societal costs of these assets.","ai_generated":true,"unit":"iisd-003141#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Wind power generation is sensitive to wind speed; in Scotland, wind speed variations between -20 and +20 m/s impact turbine output by ranges from -26.06% to +13.66%.","ai_generated":true,"unit":"iisd-003141#insight-1","date_modified":"2026-10-23"},{"text":"Solar PV efficiency is negatively impacted by temperature; an increase of 1°C can decrease efficiency by up to 2% in some studies, while an increase of 1 unit (W/m2) of irradiance increases output by 5%.","ai_generated":true,"unit":"iisd-003141#insight-2","date_modified":"2026-10-23"},{"text":"Hydropower potential is highly sensitive to precipitation and river discharge, where a 1% change in these variables typically results in a 1% change in power generation.","ai_generated":true,"unit":"iisd-003141#insight-3","date_modified":"2026-10-23"},{"text":"Gas turbine power output decreases as ambient temperature rises; for every 1 Kelvin increase above ISO conditions, a turbine can lose 0.1% in thermal efficiency and 1.47 MW of gross power output.","ai_generated":true,"unit":"iisd-003141#insight-4","date_modified":"2026-10-23"},{"text":"Coal power plant load factors are negatively affected by moisture; a 1% increase in total moisture can reduce the plant load factor by 4%.","ai_generated":true,"unit":"iisd-003141#insight-5","date_modified":"2026-10-23"},{"text":"Nuclear power plant efficiency and output decrease with rising cooling water temperatures; an increase of 1°C can lead to a 0.12% to 0.16% decrease in thermal efficiency and a 0.39% to 0.45% decrease in net power output.","ai_generated":true,"unit":"iisd-003141#insight-6","date_modified":"2026-10-23"},{"text":"Electrical grid capacity and transformer efficiency decline with temperature; network capacity falls by approximately 1% for each 1°C increase.","ai_generated":true,"unit":"iisd-003141#insight-7","date_modified":"2026-10-23"},{"text":"Crop yields for major staples decrease with temperature increases: wheat by 6.0%, rice by 3.2%, maize by 7.4%, and soybean by 3.1% per 1°C increase in global mean temperature.","ai_generated":true,"unit":"iisd-003141#insight-8","date_modified":"2026-10-23"},{"text":"In Johannesburg, under the IPSL RCP 8.5 scenario, net irrigation requirements per hectare for maize are projected to increase by 23% by the 2090–2100 decade compared to 1980–1990.","ai_generated":true,"unit":"iisd-003141#insight-9","date_modified":"2026-10-23"},{"text":"Wastewater treatment nutrient removal is temperature-dependent; for nitrogen, a change of -1.5 to +5°C can impact removal efficiency by -6% per 1°C decrease in influent sewage temperature.","ai_generated":true,"unit":"iisd-003141#insight-10","date_modified":"2026-10-23"},{"text":"Rainwater harvesting potential in Johannesburg is significantly higher when using CDS climate data compared to constant seasonal values, with average annual yields of 3,068.6 litres/m2 versus 134.7 litres/m2.","ai_generated":true,"unit":"iisd-003141#insight-11","date_modified":"2026-10-23"},{"text":"Rooftop solar PV generation in Johannesburg is projected to decrease by 5.4% in load factor due to temperature increases, resulting in a cumulative reduction of 90.21 GWh over 80 years for 1 MW of capacity.","ai_generated":true,"unit":"iisd-003141#insight-12","date_modified":"2026-10-23"},{"text":"In Johannesburg, heating degree days (HDD) are forecasted to decline by 82% over 80 years, while cooling degree days (CDD) will increase from zero to 204 days per year.","ai_generated":true,"unit":"iisd-003141#insight-13","date_modified":"2026-10-23"},{"text":"Road maintenance costs increase with precipitation; for unpaved roads, maintenance costs increase by 0.8% for every 1% increase in maximum monthly precipitation.","ai_generated":true,"unit":"iisd-003141#insight-14","date_modified":"2026-10-23"},{"text":"Weather conditions increase road accident probability: a 100 mm increase in monthly rainfall increases probability by 0.2%–0.3%, and a 1°C increase in monthly temperature increases it by 1%–2%.","ai_generated":true,"unit":"iisd-003141#insight-15","date_modified":"2026-10-23"},{"text":"Urban green infrastructure can significantly reduce stormwater runoff; for example, green roofs in Chicago retained over 75% of the volume from a one-inch storm.","ai_generated":true,"unit":"iisd-003141#insight-16","date_modified":"2026-10-23"},{"text":"Vegetation cover reduces urban air temperatures; an average reduction of 1.635°C is observed for a 25% increase in vegetation cover.","ai_generated":true,"unit":"iisd-003141#insight-17","date_modified":"2026-10-23"},{"text":"In Johannesburg, increasing vegetation cover to 75% could potentially mitigate temperature-related labour productivity impacts entirely.","ai_generated":true,"unit":"iisd-003141#insight-18","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","wind power","photovoltaics","hydropower","nuclear power","geothermal energy","electric power transmission","agricultural irrigation","crop yield","wastewater treatment","urban flooding","energy efficient building","rainwater harvesting","urban heat island","carbon sequestration","climate finance"],"geography_discussed":["Scotland","Black Sea","Greece","United States","Brazil","Zambezi River Basin","Dubai","Saudi Arabia","Vietnam","India","Malaysia","France","Iran","Norway","People's Republic of China","Los Angeles","Guangzhou","Netherlands","Spain","Chicago","Milwaukee","Japan","London","Sweden"],"frame_perspective":[],"analysis_type":["literature review","technical integration","simulation","economic assessment"]},{"id":"iisd-003142","url":"https://climateinsightsdirectory.org/document/iisd-003142","title":"Integration of Climate Data in the SAVi Nature-Based Infrastructure Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-nature-based-infrastructure-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how authoritative climate data from the Copernicus CDS is integrated into the SAVi model for nature-based infrastructure. It provides a literature review on the impacts of precipitation, vegetation, and temperature on assets like green roofs, wetlands, and urban forests. The report demonstrates the model's application through simulations in Johannesburg, showing how temperature affects phosphorus removal in wetlands and how increasing vegetation cover can mitigate heat-related labor productivity losses.","ai_generated":true,"unit":"iisd-003142#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Green roofs demonstrate significant stormwater retention capabilities; in Chicago, they retained over 75% of a one-inch storm, and in Milwaukee, they can retain 85% of a two-inch downpour.","ai_generated":true,"unit":"iisd-003142#insight-1","date_modified":"2026-10-23"},{"text":"Permeable pavement in typical US alleys can infiltrate 3 inches of rainwater from a 1-hour storm, with an expected infrastructure lifespan of 30 to 35 years.","ai_generated":true,"unit":"iisd-003142#insight-2","date_modified":"2026-10-23"},{"text":"Urban trees provide measurable economic and environmental benefits, such as in Santa Monica, where 29,299 trees intercepted 193,168 m3 of annual rainfall, avoiding $110,890 in stormwater treatment and flood control costs ($3.60 per tree).","ai_generated":true,"unit":"iisd-003142#insight-3","date_modified":"2026-10-23"},{"text":"Vegetation significantly reduces urban temperatures; for instance, a 30% vegetated area in Davis, California, can be cooler by 6°C during the day and retain warmth by 2°C at night.","ai_generated":true,"unit":"iisd-003142#insight-4","date_modified":"2026-10-23"},{"text":"The efficiency of nutrient removal in constructed wetlands is temperature-dependent; for example, in Spain, removal efficiencies for TSS, COD, and ammonium were higher in summer (97.4%-97.8%, 97.1%-96.2%, and 99.9%-88.9%) than in winter (83.5%-74.4%, 73.2%-60.6%, and 19%-NA).","ai_generated":true,"unit":"iisd-003142#insight-5","date_modified":"2026-10-23"},{"text":"Simulations for Johannesburg using the IPSL RCP8.5 scenario indicate that phosphorus (P) removal efficiency in wetlands increases with temperature, leading to a 12% increase in both the amount of P removed and the related avoided wastewater treatment costs compared to a no-impact scenario.","ai_generated":true,"unit":"iisd-003142#insight-6","date_modified":"2026-10-23"},{"text":"In Johannesburg, temperature-related labor productivity impacts—defined as working in temperatures above 25°C—are projected to start occurring around 2050/2060 and become frequent after 2065.","ai_generated":true,"unit":"iisd-003142#insight-7","date_modified":"2026-10-23"},{"text":"Increasing vegetation cover in Johannesburg can mitigate or postpone labor productivity losses; a 75% vegetation cover could potentially mitigate these impacts entirely.","ai_generated":true,"unit":"iisd-003142#insight-8","date_modified":"2026-10-23"}],"climate_tags":["urban heat island","carbon sequestration","air quality"],"geography_discussed":["Johannesburg","Chicago","Milwaukee","Spain","Barcelona","León","United States","Lancaster","Santa Monica","Kumamoto","Davis","People's Republic of China","London","Atlanta","Guangzhou","Seattle","Hangzhou","Athens","Egypt","Sweden"],"frame_perspective":[],"analysis_type":["literature review","model integration","simulation"]},{"id":"iisd-003143","url":"https://climateinsightsdirectory.org/document/iisd-003143","title":"Integration of Climate Data in the SAVi Roads Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-roads-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate data from the Copernicus Climate Data Store (CDS) is integrated into the SAVi Roads model to improve the analysis of climate-related risks. It focuses on three primary impacts: precipitation effects on road lifetime, weather effects on injury accidents, and precipitation-based road runoff. Simulation results for a 1,000 km road network between 2020 and 2100 show that CDS integration reveals higher cumulative road disruption, an increase in injury accidents, and significantly higher stormwater runoff compared to a 'no climate' baseline. The economic analysis indicates that the most substantial cost increase stems from stormwater management, totaling an additional USD 2.06 billion over 80 years.","ai_generated":true,"unit":"iisd-003143#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Precipitation is estimated to be responsible for approximately 37.5% of road depreciation, specifically in terms of rutting depth.","ai_generated":true,"unit":"iisd-003143#insight-1","date_modified":"2026-10-23"},{"text":"Simulation results for 1,000 km of road from 2020 to 2100 show that integrating CDS climate data increases forecasted cumulative road disruption to 1,688.9 km, compared to ,1601.67 km in the no climate scenario, representing an additional disruption of 5.45% or 87.26 km.","ai_generated":true,"unit":"iisd-003143#insight-2","date_modified":"2026-10-23"},{"text":"The integration of weather data predicts a 1.2% increase in injury accidents between 2020 and 2100 compared to the no climate scenario, averaging approximately 16.5 additional accidents per year.","ai_generated":true,"unit":"iisd-003143#insight-3","date_modified":"2026-10-23"},{"text":"The CDS integration reveals that previous formulations underestimated stormwater runoff; the maximum monthly load increased from 758.63 million liters in the no climate scenario to 3,182.3 million liters, and cumulative runoff over 80 years for 1,000 km of road rose by 68.05 billion liters.","ai_generated":true,"unit":"iisd-003143#insight-4","date_modified":"2026-10-23"},{"text":"The most significant economic impact of integrating CDS data is the cost of stormwater management, which is projected to increase by USD 2.06 billion over 80 years, averaging USD 25.58 million annually.","ai_generated":true,"unit":"iisd-003143#insight-5","date_modified":"2026-10-23"},{"text":"Total economic differences between the no climate scenario and the CDS climate impact scenario total USD 2.08 billion between 2020 and 2100, with stormwater management being the largest contributor.","ai_generated":true,"unit":"iisd-003143#insight-6","date_modified":"2026-10-23"},{"text":"Climate-related impacts on asphalt result in an additional USD 9.4 million in capital expenditure for road construction and approximately USD 87,000 in additional maintenance costs over 80 years.","ai_generated":true,"unit":"iisd-003143#insight-7","date_modified":"2026-10-23"},{"text":"The integration of weather variables into accident equations indicates an additional economic cost of traffic accidents totaling USD 21.9 million between 2020 and 2100.","ai_generated":true,"unit":"iisd-003143#insight-8","date_modified":"2026-10-23"}],"climate_tags":["precipitation","climate finance","extreme weather event","greenhouse gas emissions"],"geography_discussed":["United States","Texas","Alaska","France","Netherlands","Athens"],"frame_perspective":[],"analysis_type":["simulation","cost benefit analysis","literature review"]}]}