{"query_echo":{"q":"","filters":{"analysis_type":["tool description"]},"warnings":[]},"total":{"value":30,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=tool+description&page=1","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=tool+description&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":"climstra-000342","url":"https://climateinsightsdirectory.org/document/climstra-000342","title":"Launch event summary and systematization (COP30, 12 November 2025)","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"after-action report","language":"en","date_published":"2025-11-12","source_url":"https://climatestrategies.org/wp-content/uploads/2026/01/Just_Transition_Compass_Launch_Event_Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Just Transition Compass was launched at a networking dinner in Belém during COP30. Developed by LACLIMA and Climate Strategies with support from GIZ and the COP30 Presidency, the Compass is an operational tool designed to help negotiators and implementers translate high-level climate ambitions into fair, inclusive transitions. It focuses on governance choices regarding participation, safeguards, and the distribution of benefits and burdens to prevent the creation of new 'sacrifice zones'. The launch followed a series of dialogues in Brasília, Panama, Bonn, and Addis Ababa, and serves as a foundation for continued collaboration on policy design and financing beyond the project's conclusion on 31 December 2025.","ai_generated":true,"unit":"climstra-000342#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Just Transition Compass is an operational guide designed to move from political aspiration to practice by addressing three core areas: defining just transitions, identifying implementation barriers, and determining the role of international actors in addressing structural inequalities at national and global levels.","ai_generated":true,"unit":"climstra-000342#insight-1","date_modified":"2026-10-23"},{"text":"The Compass emphasizes that a 'just' transition depends on specific governance choices, including the terms of participation, the application of safeguards such as Free, Prior and Informed Consent (FPIC), the distribution of burdens and benefits, and the use of accountability mechanisms to avoid creating new sacrifice zones.","ai_generated":true,"unit":"climstra-000342#insight-2","date_modified":"2026-10-23"},{"text":"The launch event in Belém was the culmination of a series of international and national dialogues held in Brasília, Panama, Bonn, and Addis Ababa, intended to ground international deliberations in territorial and rights-based perspectives.","ai_generated":true,"unit":"climstra-000342#insight-3","date_modified":"2026-10-23"},{"text":"The Just Transitions in Motion Project, which produced the Compass, is funded by the International Climate Initiative (IKI) via the German Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety (BMUKN) and is scheduled to conclude on 31 December 2025.","ai_generated":true,"unit":"climstra-000342#insight-4","date_modified":"2026-10-23"}],"climate_tags":["just transition","climate governance","human rights","Free, Prior and Informed Consent","climate finance","social protection"],"geography_discussed":["Brasília","Panama","Bonn","Addis Ababa","Latin America"],"frame_perspective":[],"analysis_type":["event summary","tool description"]},{"id":"sei-002019","url":"https://climateinsightsdirectory.org/document/sei-002019","title":"WEAP for adaptation planning: Water and climate resilience","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2025-11","source_url":"https://www.sei.org/wp-content/uploads/2025/11/weap-adaptation-planning-water-climate-resilience.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Water Evaluation and Adaptation Planning (WEAP) platform is a scenario-based modelling tool used in 190 countries to integrate supply- and demand-side perspectives for water resilience. It enables users to simulate climate-driven scenarios, evaluate adaptation strategies such as infrastructure upgrades and demand management, and analyze trade-offs at the water-energy-food nexus through integration with the Low Emissions Analysis Platform (LEAP) and macroeconomic models. WEAP supports both top-down and locally led initiatives across various scales, from local watersheds to transboundary river basins.","ai_generated":true,"unit":"sei-002019#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"WEAP is a scenario-based modelling tool with a 35-year history and over 50,000 users across 190 countries that allows for the analysis of climate change impacts on water availability and the evaluation of resource allocation choices regarding the economy, ecosystem health, and human well-being.","ai_generated":true,"unit":"sei-002019#insight-1","date_modified":"2026-10-23"},{"text":"The platform provides specific capabilities for National Adaptation Plan (NAP) development, including the use of climate projections for temperature and precipitation to simulate future groundwater levels, runoff, and water demand, as well as comparing strategies like ecological restoration and infrastructure upgrades.","ai_generated":true,"unit":"sei-002019#insight-2","date_modified":"2026-10-23"},{"text":"WEAP can be integrated with the Low Emissions Analysis Platform (LEAP) and macroeconomic modelling to analyze synergies and trade-offs within the water-energy-food nexus and their effects on economic growth.","ai_generated":true,"unit":"sei-002019#insight-3","date_modified":"2026-10-23"},{"text":"The tool has been applied in diverse geographic contexts, including modelling complex water systems in California, projecting water supply gaps in Rwanda, managing the Syr Darya and Amu Darya river basins in Central Asia, and developing adaptation strategies for the Upper Lempa River Basin spanning Guatemala, Honduras, and El Salvador.","ai_generated":true,"unit":"sei-002019#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","climate change adaptation","national adaptation plan","water management","climate modeling","sea level rise","Nationally Determined Contributions"],"geography_discussed":["California","Rwanda","Central Asia","Kazakhstan","Kyrgyzstan","Tajikistan","Turkmenistan","Uzbekistan","El Salvador","Guatemala","Honduras"],"frame_perspective":[],"analysis_type":["tool description","case study"]},{"id":"ruralele-000167","url":"https://climateinsightsdirectory.org/document/ruralele-000167","title":"From Access to Impact: unlocking livelihood transformation through COMET’s participatory energy simulations","publisher":{"name":"Alliance for Renewable Electrification","organization":"alliance-for-renewable-electrification"},"document_type":"site page","language":"en","date_published":"2025-10-28","source_url":"https://renewelec.org/from-access-to-impact-unlocking-livelihood-transformation-through-comets-participatory-energy-simulations/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Community Energy Toolkit (COMET) uses participatory workshops and simulations to help communities in Africa, Asia, and the Pacific plan for the productive use of energy (PUE). By allowing households and micro-enterprises to trial appliances and tariffs, COMET provides developers with demand-side intelligence—such as demand curves and willingness-to-pay—to reduce the risk of under-utilisation and under-recovery of revenues. A deployment in Pos Titom, Malaysia, demonstrated how testing specific enterprise options like grinders and ice-making can create concrete income pathways and decision-ready inputs for implementers. Across 110 communities in six countries, this co-creation approach has been linked to higher early-life utilisation and improved billed revenue.","ai_generated":true,"unit":"ruralele-000167#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Community Energy Toolkit (COMET) addresses the issue of low early-life utilisation and underperforming revenues in mini-grids by using simulation-based workshops where users trial appliances, tariffs, and operating hours to generate demand-side intelligence.","ai_generated":true,"unit":"ruralele-000167#insight-1","date_modified":"2026-10-23"},{"text":"In Pos Titom, Malaysia, as part of the RENDANG project, COMET workshops tested specific enterprise tools—including egg incubators, ice-making, food dryers, grinders, and welding tools—against tariff rules and schedules to create income pathways and reduce payment uncertainty.","ai_generated":true,"unit":"ruralele-000167#insight-2","date_modified":"2026-10-23"},{"text":"Implementation of the COMET approach across more than 110 communities in six countries has consistently resulted in increased early-life utilisation, improved billed revenue, and enhanced system resilience.","ai_generated":true,"unit":"ruralele-000167#insight-3","date_modified":"2026-10-23"}],"climate_tags":["Mini-grids","demand-side management","renewable energy","Community based adaptation"],"geography_discussed":["Malaysia","Pos Titom"],"frame_perspective":[],"analysis_type":["case study","tool description"]},{"id":"sei-001918","url":"https://climateinsightsdirectory.org/document/sei-001918","title":"New WEAP PlugIn calculates water stress, disaggregated by sub-basin","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2023-12","source_url":"https://www.sei.org/wp-content/uploads/2023/12/sei2023.062-weap-plugin-water-stress-corrected.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute and the FAO have developed a WEAP PlugIn that allows for the calculation of water stress at the sub-basin level rather than just on a country-wide basis. By disaggregating data, water resource managers can better visualize spatial variations in water stress and test the impact of different management strategies, such as reducing canal losses or accounting for population growth. The tool uses the Flow Duration Curve (FDC) Shift method to incorporate environmental flow requirements into its calculations. The briefing demonstrates the tool's application using the Senegal River basin and lists recommendations for its implementation in other basins.","ai_generated":true,"unit":"sei-001918#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A new PlugIn for the Water Evaluation and Planning (WEAP) software, developed by the Food and Agriculture Organization of the United Nations (FAO) and the Stockholm Environment Institute (SEI), enables the calculation of water stress by catchment area to provide detailed insights at the sub-basin level.","ai_generated":true,"unit":"sei-001918#insight-1","date_modified":"2026-10-23"},{"text":"The tool calculates water stress based on SDG Indicator 6.4.2, which compares total freshwater withdrawals (TFWW) against total renewable freshwater resources (TRWR) after subtracting environmental flow requirements (EFR).","ai_generated":true,"unit":"sei-001918#insight-2","date_modified":"2026-10-23"},{"text":"To standardize calculations where minimum environmental flows are not established, the PlugIn utilizes the Flow Duration Curve (FDC) Shift method, which adjusts requirements based on the ecological management class of the river.","ai_generated":true,"unit":"sei-001918#insight-3","date_modified":"2026-10-23"},{"text":"Application of the tool to the Senegal River basin demonstrates that water stress varies significantly by sub-basin; for example, in 2021, water stress was below 10% in the upstream Bakoye, Kolombine, Faleme and Karakoro basins, but exceeded 70% in the lower portions of the Senegal River below Bakel.","ai_generated":true,"unit":"sei-001918#insight-4","date_modified":"2026-10-23"},{"text":"Simulations in the Senegal River basin indicate that reducing canal losses from an average of 35% to 15% leads to a clear decrease in water stress.","ai_generated":true,"unit":"sei-001918#insight-5","date_modified":"2026-10-23"},{"text":"The tool can project the impact of future uncertainties; for the Senegal River basin, a high population growth scenario (4% per year) is projected to increase water stress and decrease water demand satisfaction, particularly for Dakar.","ai_generated":true,"unit":"sei-001918#insight-6","date_modified":"2026-10-23"},{"text":"Based on testing in Algeria, Rwanda, and the Senegal River basin, the developers recommend that models for disaggregated water stress should cover entire basins, include all significant external water supplies and demands, and avoid selecting small catchments unless they are major freshwater sources.","ai_generated":true,"unit":"sei-001918#insight-7","date_modified":"2026-10-23"}],"climate_tags":["water management","water scarcity","climate change"],"geography_discussed":["Senegal River basin","Senegal","Mauritania","Mali","Guinea","Dakar","Algeria","Rwanda"],"frame_perspective":[],"analysis_type":["tool description","case study","scenario simulation"]},{"id":"sei-001914","url":"https://climateinsightsdirectory.org/document/sei-001914","title":"WASH-Flows","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2023-11","source_url":"https://www.sei.org/wp-content/uploads/2023/11/sei2023.052-wash-flows-fact-sheet.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WASH-Flows is a Microsoft Excel-based tool developed under the Bolivia WATCH Program to bridge the gap between household-level WASH data and watershed-scale planning. It transforms qualitative household information into quantitative data to assess service vulnerability, estimate environmental contamination loads, and provide water demand and wastewater flow data for water resources management software. While developed for Bolivia and currently applied in the Tupiza, Pampa Huari, and Choqueyapu-La Paz watersheds, the tool is intended for use in low- and middle-income countries across rural and peri-urban settings.","ai_generated":true,"unit":"sei-001914#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The WASH-Flows tool utilizes a Microsoft Excel interface to convert qualitative household data into quantitative analysis and graphical representations, allowing planners to assess the current state and vulnerability of WASH services at the community level.","ai_generated":true,"unit":"sei-001914#insight-1","date_modified":"2026-10-23"},{"text":"The tool is designed to support the achievement of Sustainable Development Goal (SDG) 6 by monitoring progress and prioritizing interventions in rural and peri-urban areas to ensure no one is left behind.","ai_generated":true,"unit":"sei-001914#insight-2","date_modified":"2026-10-23"},{"text":"WASH-Flows provides critical data for environmental and resource management, including estimates of contamination loads from inadequate sanitation and data on water demand and wastewater flows that can be integrated into watershed modelling tools like the Water Evaluation And Planning (WEAP) system.","ai_generated":true,"unit":"sei-001914#insight-3","date_modified":"2026-10-23"},{"text":"Developed under the Bolivia WATCH Program and financed by Sida, the tool has been applied in its beta version to three Bolivian watersheds: Tupiza, Pampa Huari, and Choqueyapu-La Paz.","ai_generated":true,"unit":"sei-001914#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Integrated Water Resources Management","wastewater treatment","water quality"],"geography_discussed":["Tupiza","Pampa Huari","Choqueyapu-La Paz","Guatemala","Mexico","Peru","Colombia","Spain"],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]},{"id":"sei-001915","url":"https://climateinsightsdirectory.org/document/sei-001915","title":"WASH-Flows","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"es","date_published":"2023-11","source_url":"https://www.sei.org/wp-content/uploads/2023/11/sei2023.053-herramienta-wash-flows.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WASH-Flows is a Microsoft Excel-based tool developed under the Bolivia WATCH Program to bridge the gap between household-level WASH data and community-scale watershed planning. It transforms qualitative information into quantitative data to assess service vulnerability, estimate pollution loads, and calculate water demand and wastewater flows. While currently in beta and applied in three Bolivian watersheds, the tool aims to support local governments and planners in rural and peri-urban environments to prioritize interventions and align with SDG 6 targets.","ai_generated":true,"unit":"sei-001915#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"WASH-Flows is an analytical tool that enables the estimation and evaluation of the vulnerability of water, sanitation, and hygiene (WASH) services at both domestic and community levels, specifically targeting rural and peri-urban environments.","ai_generated":true,"unit":"sei-001915#insight-1","date_modified":"2026-10-23"},{"text":"The tool was developed within the Bolivia WATCH (WASH Thinking Connected to Hydrology) Program, funded by the Swedish International Development Cooperation Agency (Sida), and utilizes the 'service ladder' methodology from the UNICEF/WHO Joint Monitoring Programme (JMP).","ai_generated":true,"unit":"sei-001915#insight-2","date_modified":"2026-10-23"},{"text":"WASH-Flows uses a Microsoft Excel interface to convert qualitative data on infrastructure, quality, accessibility, and management into quantitative results, including graphs, tables, and matrices. It can function independently or be integrated with the Water Evaluation and Planning (WEAP) hydrological modeling tool.","ai_generated":true,"unit":"sei-001915#insight-3","date_modified":"2026-10-23"},{"text":"The tool's capabilities include estimating environmental pollution loads from poor sanitation practices, comparing different infrastructure alternatives, and providing data on water demand and wastewater flows for integrated water resource management.","ai_generated":true,"unit":"sei-001915#insight-4","date_modified":"2026-10-23"},{"text":"The beta version of the tool has been applied in three Bolivian watersheds: Tupiza, Pampa Huari, and Choqueyapu-La Paz. While not yet public, it has generated interest in Colombia, Spain, Guatemala, Mexico, and Peru, with training already conducted for government agencies in Guatemala and stakeholders in Bolivia.","ai_generated":true,"unit":"sei-001915#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Integrated Water Resources Management","water-management","wastewater treatment"],"geography_discussed":["Tupiza River","Pampa Huari","Choqueyapu-La Paz","Guatemala","Mexico","Peru","Colombia","Spain"],"frame_perspective":[],"analysis_type":["tool description","case study"]},{"id":"sei-001743","url":"https://climateinsightsdirectory.org/document/sei-001743","title":"Konsumtionskompassen","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"sv","date_published":"2022-09","source_url":"https://www.sei.org/wp-content/uploads/2022/09/sei-konsumtionkompassen-axelsson.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute (SEI) has developed 'Konsumtionskompassen' (version 1.0), a digital tool that estimates the climate impact of household consumption across all Swedish municipalities down to the postal code level. The tool covers over 110 consumption categories, identifying 'hotspots' to help local governments implement targeted climate measures. Findings indicate significant disparities in footprints between resource-poor and resource-rich areas, and highlight that while average footprints are similar across municipalities, the composition of emissions varies by urbanisation and geography.","ai_generated":true,"unit":"sei-001743#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There are substantial differences in consumption-based climate impacts between Swedish households, ranging from approximately 3.5 tonnes of CO2e per person per year in resource-poor areas to nearly 18 tonnes in resource-rich areas.","ai_generated":true,"unit":"sei-001743#insight-1","date_modified":"2026-10-23"},{"text":"On average, the total consumption-based emissions for Swedish households are 6.3 tonnes of CO2e per person per year, with transport being the largest contributing category at 42% of emissions.","ai_generated":true,"unit":"sei-001743#insight-2","date_modified":"2026-10-23"},{"text":"While average climate footprints are similar across most municipalities, the specific drivers vary: urban areas show higher footprints due to increased flying, whereas rural areas have higher footprints from car use.","ai_generated":true,"unit":"sei-001743#insight-3","date_modified":"2026-10-23"},{"text":"Geographic location influences energy consumption, specifically with residents in northern Sweden using more energy for heating.","ai_generated":true,"unit":"sei-001743#insight-4","date_modified":"2026-10-23"},{"text":"The tool's calculations are approximately one tonne higher than official Swedish figures from SCB because it includes long-distance flights and high-altitude effects.","ai_generated":true,"unit":"sei-001743#insight-5","date_modified":"2026-10-23"}],"climate_tags":["sustainable consumption","transportation","aviation"],"geography_discussed":["Umeå Municipality","Kalmar Municipality","Stockholm Municipality"],"frame_perspective":[],"analysis_type":["tool description","statistical analysis"]},{"id":"sei-000805","url":"https://climateinsightsdirectory.org/document/sei-000805","title":"Global Shipping Watch fact sheet","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2022-06-27","source_url":"https://www.sei.org/publications/global-shipping-watch-fact-sheet/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Global Shipping Watch is a data platform that matches cargo records with AIS vessel movements to attribute maritime emissions to specific companies, products, and routes. It aims to overcome barriers to decarbonization by providing transparency for scope 3 emissions reporting and sustainable supply chain management. The initial 2019 data release covers US imports and exports, as well as exports from Brazil, Chile, Peru, and Indonesia.","ai_generated":true,"unit":"sei-000805#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global Shipping Watch uses a methodology that matches detailed cargo records with vessel movements and operations obtained from the Automatic Identification System (AIS) to identify cargo contents, owning companies, and commodity-linked emissions on specific routes.","ai_generated":true,"unit":"sei-000805#insight-1","date_modified":"2026-10-23"},{"text":"The platform addresses a critical data gap where it was previously impossible to link maritime transport emissions to specific companies, products, countries, or consumer choices, which hindered the accurate assessment of scope 3 emissions in corporate reporting.","ai_generated":true,"unit":"sei-000805#insight-2","date_modified":"2026-10-23"},{"text":"Maritime shipping accounts for nearly 3% of global greenhouse gas emissions, exceeding the aviation sector, and causes significant air pollution in densely populated coastal regions.","ai_generated":true,"unit":"sei-000805#insight-3","date_modified":"2026-10-23"},{"text":"The initial data release for the platform covers 2019 maritime imports and exports for the United States, and exports for Indonesia, Peru, Chile, and Brazil.","ai_generated":true,"unit":"sei-000805#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water transport","greenhouse gas emissions","Scope 3","decarbonization","air pollution","greenhouse gas monitoring"],"geography_discussed":["United States","Brazil","Chile","Peru","Indonesia"],"frame_perspective":[],"analysis_type":["tool description","fact sheet"]},{"id":"sei-001708","url":"https://climateinsightsdirectory.org/document/sei-001708","title":"Global Shipping Watch","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2022-04","source_url":"https://www.sei.org/wp-content/uploads/2022/06/sei-fact-sheet-global-shipping-watch-godar-2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"Global Shipping Watch is a data platform that matches cargo records with vessel movements from the Automatic Information System (AIS) to attribute maritime emissions to specific companies, products, and countries. By addressing the previous inability to associate emissions with individual cargo owners, the tool aims to improve scope 3 carbon reporting and life-cycle analyses. The initial 2019 data release covers US imports and exports, as well as exports from Brazil, Chile, Peru, and Indonesia.","ai_generated":true,"unit":"sei-001708#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Maritime shipping accounts for nearly 3% of global greenhouse gas emissions, which is a higher contribution than that of the aviation sector.","ai_generated":true,"unit":"sei-001708#insight-1","date_modified":"2026-10-23"},{"text":"A significant barrier to corporate carbon reporting and consumer understanding of footprints has been the inability to link maritime transport emissions to specific companies, products, countries, or consumer choices.","ai_generated":true,"unit":"sei-001708#insight-2","date_modified":"2026-10-23"},{"text":"Global Shipping Watch utilizes a five-step methodology to attribute emissions, which involves matching standardized cargo data with billions of AIS data points to segment vessel trajectories into journeys. Emissions are then calculated using the Fourth IMO Greenhouse Study methodology and allocated proportionally based on cargo weight and value.","ai_generated":true,"unit":"sei-001708#insight-3","date_modified":"2026-10-23"},{"text":"The platform's initial data release focuses on 2019 maritime trade, specifically covering imports and exports of the United States and exports from Indonesia, Peru, Chile, and Brazil.","ai_generated":true,"unit":"sei-001708#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water transport","greenhouse gas emissions","decarbonization","Scope 3","life cycle assessment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","methodological overview"]},{"id":"sei-000711","url":"https://climateinsightsdirectory.org/document/sei-000711","title":"Five things learned about development finance from Aid Atlas","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2020-06-22","source_url":"https://www.sei.org/publications/five-things-learned-development-finance-aid-atlas","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The Stockholm Environment Institute developed Aid Atlas to address the complexity of tracking global development finance. While the OECD's Creditor Reporting System provides the most comprehensive data, its design makes it difficult for the public and smaller recipient countries to use. Aid Atlas transforms this data into an intuitive, visual tool to help decision-makers in developing countries understand aid flows and focus on whether funding generates lasting positive impacts.","ai_generated":true,"unit":"sei-000711#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global development aid commitments increased significantly between 2007 and 2017, rising from US$ 169 billion to approximately US$ 314 billion according to the OECD’s Creditor Reporting System (CRS).","ai_generated":true,"unit":"sei-000711#insight-1","date_modified":"2026-10-23"},{"text":"Reported development finance is composed primarily of grants (roughly 40%), Other Official Flows (35%), and ODA loans (22%), with private development finance from large philanthropies accounting for about 2.5% of total reported flows.","ai_generated":true,"unit":"sei-000711#insight-2","date_modified":"2026-10-23"},{"text":"The OECD’s Development Assistance Committee (DAC) maintains the most comprehensive data set on development finance, but the database is difficult for the public to use because it was not originally designed for public tracking.","ai_generated":true,"unit":"sei-000711#insight-3","date_modified":"2026-10-23"},{"text":"Smaller countries often lack the capacity to create coherent overviews of the support they receive or how donors account for it, which hinders the evaluation of whether funding creates lasting positive impacts.","ai_generated":true,"unit":"sei-000711#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","trend analysis"]},{"id":"sei-002249","url":"https://climateinsightsdirectory.org/document/sei-002249","title":"Empowerment in WASH Index","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2019-09","source_url":"https://www.sei.org/wp-content/uploads/2019/10/dickin-ewi-wash-db.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Stockholm Environment Institute has developed the Empowerment in WASH Index (EWI) to address gender data gaps in the WASH sector. The tool measures agency, participation, and empowerment across individual, household, and community levels. A case study in Banfora, Burkina Faso, demonstrated that the EWI can identify specific drivers of disempowerment—such as lack of input in expenditure decisions and work balance—to help municipalities design gender-integrated strategic plans. The findings suggest a positive correlation between higher levels of female empowerment and the use of improved sanitation and on-premises water sources.","ai_generated":true,"unit":"sei-002249#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Empowerment in WASH Index (EWI) measures empowerment across three distinct levels: the individual level (personal values and attitudes regarding decision-making), the household level (instrumental agency, control of assets, workload, and information sharing), and the community level (comfort in public speaking, making complaints to authorities, and group membership).","ai_generated":true,"unit":"sei-002249#insight-1","date_modified":"2026-10-23"},{"text":"The EWI is constructed using 12 indicators; a respondent is classified as 'empowered' only if they achieve a minimum of 75% of these indicators. The tool also calculates a gender parity index (GPI) by comparing scores of men and women within the same household.","ai_generated":true,"unit":"sei-002249#insight-2","date_modified":"2026-10-23"},{"text":"A case study in Banfora, Burkina Faso, involving 600 respondents across 20 communities, revealed significant gender disparities: only 26% of women were empowered compared to 63% of men. Additionally, 82% of households lacked gender parity, with an average empowerment gap of 30% between household members.","ai_generated":true,"unit":"sei-002249#insight-3","date_modified":"2026-10-23"},{"text":"In Banfora, the primary factors contributing to women's disempowerment were work balance, comfort in interacting with WASH authorities to make complaints, and lack of input into household decisions regarding community WASH activities and expenditures for water and sanitation.","ai_generated":true,"unit":"sei-002249#insight-4","date_modified":"2026-10-23"},{"text":"Analysis in Banfora indicates that empowered women are more likely to use improved sanitation facilities or water sources on their premises and are less likely to pay for water by container compared to disempowered women.","ai_generated":true,"unit":"sei-002249#insight-5","date_modified":"2026-10-23"}],"climate_tags":["gender equality"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","case study"]},{"id":"sei-001316","url":"https://climateinsightsdirectory.org/document/sei-001316","title":"Aid Atlas: new tool to visualize development finance flows","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2019-07","source_url":"https://www.sei.org/wp-content/uploads/2019/11/dzebo-aid-atlas-fs-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Aid Atlas is an interactive online platform developed by the Stockholm Environment Institute to visualize international development finance flows. It aims to make complex aid data more accessible to government officials in recipient countries, researchers, and international organizations through alluvial diagrams and tailored profile pages. By increasing transparency and highlighting financing gaps, the tool seeks to improve the overall effectiveness of the approximately US$ 146 billion annual global development finance budget.","ai_generated":true,"unit":"sei-001316#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Aid Atlas is an interactive tool designed to help users understand the volume, destination, and purpose of international development finance, as well as its impacts on the environment and people.","ai_generated":true,"unit":"sei-001316#insight-1","date_modified":"2026-10-23"},{"text":"The platform specifically targets government officials in recipient countries who may lack the time or capacity to analyze complex data from international organizations and development partners.","ai_generated":true,"unit":"sei-001316#insight-2","date_modified":"2026-10-23"},{"text":"The tool utilizes alluvial diagrams for visualizing current and historical finance flows, alongside profile pages that detail committed and delivered amounts, financial instruments, sources, recipients, and targeted sectors or policy objectives.","ai_generated":true,"unit":"sei-001316#insight-3","date_modified":"2026-10-23"},{"text":"The tool addresses a need for better transparency in a global development finance budget of approximately US$ 146 billion, noting that existing OECD data sets are difficult for non-specialists to use and vary in quality.","ai_generated":true,"unit":"sei-001316#insight-4","date_modified":"2026-10-23"},{"text":"The long-term goals for Aid Atlas include improving the quality of public reporting, identifying financing gaps, and eventually integrating socio-economic development indicators to better understand the outcomes of financial support.","ai_generated":true,"unit":"sei-001316#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate finance","transparency"],"geography_discussed":["Canada"],"frame_perspective":[],"analysis_type":["tool description"]},{"id":"sei-001206","url":"https://climateinsightsdirectory.org/document/sei-001206","title":"A new tool helps water managers consider ecosystem needs","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2019-05","source_url":"https://www.sei.org/wp-content/uploads/2019/05/a-new-tool-helps-water-managers-consider-ecosystem-needs.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute has developed a platform based on the Water Evaluation And Planning (WEAP) system that allows water managers to model the effects of management options on aquatic habitat and species viability. The tool generates complete aquatic habitat assessments by comparing daily hydraulic, substrate, and temperature conditions against ideal conditions for species at specific points. It has been applied in California's Santa Clara Valley Water District to evaluate regulations affecting steelhead and chinook salmon, and is being used in the South Fork Eel River to analyze the impacts of instream flow requirements and cannabis policies on Coho and Chinook salmon. The tool is intended to support compliance with laws such as the California Environmental Quality Act and the Sustainable Groundwater Management Act, as well as restoration projects in the Mid Klamath Watershed.","ai_generated":true,"unit":"sei-001206#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The SEI-developed tool integrates hydroecological processes into a water operations model using the Water Evaluation And Planning (WEAP) system to model how management options affect habitat availability and the viability of aquatic species.","ai_generated":true,"unit":"sei-001206#insight-1","date_modified":"2026-10-23"},{"text":"The latest version of the tool performs aquatic habitat assessments at specific creek reaches and points by modeling daily temperature, substrate, and hydraulic conditions and comparing them to the ideal conditions for species at those times.","ai_generated":true,"unit":"sei-001206#insight-2","date_modified":"2026-10-23"},{"text":"In California's Santa Clara Valley Water District, the tool was used to evaluate how different operating regimes and regulations impact fish habitat across all life stages while balancing water supply for agriculture, industry, and people, aiding in compliance with the California Environmental Quality Act.","ai_generated":true,"unit":"sei-001206#insight-3","date_modified":"2026-10-23"},{"text":"In the South Fork Eel River of northcentral California, the tool is being used to model the effects of cannabis policies, curtailment procedures, and instream flow requirements on water users and the habitats of steelhead, Chinook, and Coho salmon.","ai_generated":true,"unit":"sei-001206#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water management","biodiversity","climate change"],"geography_discussed":["Santa Clara Valley Water District","South Fork Eel River","Mid Klamath Watershed"],"frame_perspective":[],"analysis_type":["tool description","case study"]},{"id":"sei-001712","url":"https://climateinsightsdirectory.org/document/sei-001712","title":"FACT SHEET The Long-range Energy Alternatives Planning - Integrated Benefits Calculator (LEAP-IBC)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2017","source_url":"https://www.sei.org/wp-content/uploads/2017/11/sei-factsheet-leap-ibc-2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The LEAP-IBC is an integrated planning tool developed by the Stockholm Environment Institute in collaboration with the US EPA and the University of Colorado. It extends the LEAP software by combining emission scenarios with the GEOS-Chem global atmospheric chemistry transport model and exposure-response functions. The tool allows users to characterize national emissions of greenhouse gases and short-lived climate pollutants (SLCPs), explore mitigation scenarios, and estimate resulting benefits in terms of avoided premature deaths, reduced crop losses for wheat, rice, maize, and soybean, and changes in global radiative forcing and temperature. While the core LEAP platform is applicable globally, the IBC component is currently available for 71 countries, with 12 countries using it specifically for the Climate and Clean Air Coalition's SNAP Initiative.","ai_generated":true,"unit":"sei-001712#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP-IBC enables countries to model and compare emission reduction scenarios to determine their effects on human health, agriculture, and the global climate.","ai_generated":true,"unit":"sei-001712#insight-1","date_modified":"2026-10-23"},{"text":"The tool calculates health impacts by estimating premature mortality from exposure to ozone and PM2.5, specifically linking PM2.5 to heart disease, stroke, lung cancer, and respiratory diseases.","ai_generated":true,"unit":"sei-001712#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural impacts are measured as the loss in tonnes of specific crops—wheat, rice, maize, and soybean—resulting from ozone exposure during the growing season.","ai_generated":true,"unit":"sei-001712#insight-3","date_modified":"2026-10-23"},{"text":"The system estimates climate impacts by calculating the global change in radiative forcing for both long-lived greenhouse gases like CO2 and short-lived climate forcers, converting this into annual global temperature changes.","ai_generated":true,"unit":"sei-001712#insight-4","date_modified":"2026-10-23"},{"text":"The LEAP-IBC is currently available for 71 countries, and 12 of these are utilizing the tool for national planning under the Climate and Clean Air Coalition's SNAP Initiative.","ai_generated":true,"unit":"sei-001712#insight-5","date_modified":"2026-10-23"}],"climate_tags":["air quality"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","technical fact sheet"]},{"id":"sei-002480","url":"https://climateinsightsdirectory.org/document/sei-002480","title":"Resource Value Mapping (REVAMP): A tool for evaluating the resource recovery potential of urban waste streams","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2016","source_url":"https://www.sei.org/mediamanager/documents/Publications/NEW/SEI-2016-DB-REVAMP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute has developed Resource Value Mapping (REVAMP), a tool designed to help urban planners and investors identify the economic and material value of resources recoverable from sewage sludge, faecal sludge, and organic solid waste. Unlike previous tools, REVAMP operates at a city-wide scale and is specifically tailored for the Global South by incorporating on-site sanitation data. A 2016 trial in Kampala, Uganda, demonstrated that 100% collection of the city's organic waste could generate significant daily revenues and substitutes for firewood and chemical fertilizers, with solid combustion fuel offering the highest potential daily revenue of US$225,500.","ai_generated":true,"unit":"sei-002480#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"REVAMP is designed to estimate the quantities and potential revenues of various reuse products from city-scale organic waste streams, including sewage sludge, faecal sludge, and food/organic solid waste. It currently evaluates products such as biogas, solid combustion fuel, insect larvae for livestock feed, and compost fertilizer/soil conditioner.","ai_generated":true,"unit":"sei-002480#insight-1","date_modified":"2026-10-23"},{"text":"The tool is specifically adapted for the Global South because it accounts for faecal sludge from on-site sanitation systems, which are common in many cities, whereas earlier tools typically focused only on large-scale sewage collection.","ai_generated":true,"unit":"sei-002480#insight-2","date_modified":"2026-10-23"},{"text":"A 2016 trial in Kampala, Uganda, using a scenario of 100% waste collection, identified four primary resource recovery options with varying daily revenues and impacts: solid combustion fuel (US$225,500 daily revenue, substituting firewood for 1,108,700 people), biogas (US$121,000 daily revenue, substituting firewood for 824,000 people), black soldier fly larvae (US$42,200 daily revenue, substituting 134 tonnes of dried fish meal), and composted fertilizer (US$4,500 daily revenue, substituting 5 tonnes of urea fertilizer).","ai_generated":true,"unit":"sei-002480#insight-3","date_modified":"2026-10-23"}],"climate_tags":["circular economy","wastewater treatment","sanitation","organic waste","biogas","water scarcity","food security","climate change","energy security"],"geography_discussed":["Kampala","Uganda"],"frame_perspective":[],"analysis_type":["tool description","case study","economic estimation"]},{"id":"eninnova-000090","url":"https://climateinsightsdirectory.org/document/eninnova-000090","title":"THE ENERGY POLICY SIMULATOR","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"fact sheet","language":"en","date_published":"2015-10","source_url":"https://energyinnovation.org/wp-content/uploads/EnergyPolicySimulator.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Energy Policy Simulator is a real-time, open-source tool that measures the cost and emissions impacts of over 50 climate and energy policies across all greenhouse gas emitting sectors in the U.S. The model, which is peer-reviewed by several national laboratories and universities, allows users to create custom policy scenarios using publicly available data and visualize results via a web application.","ai_generated":true,"unit":"eninnova-000090#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Energy Policy Simulator is a real-time tool capable of measuring the cost and emissions impacts of more than 50 climate and energy policies across all greenhouse gas emitting sectors, including power, buildings, transportation, industry, and land-use.","ai_generated":true,"unit":"eninnova-000090#insight-1","date_modified":"2026-10-23"},{"text":"The simulator is fully open-source and utilizes free, publicly-available data, allowing users to modify its structure and data sources.","ai_generated":true,"unit":"eninnova-000090#insight-2","date_modified":"2026-10-23"},{"text":"The model's structure and components have undergone peer review by researchers from Stanford University, Massachusetts Institute of Technology, and national laboratories including Argonne, Lawrence Berkeley, and the National Renewable Energy Laboratory.","ai_generated":true,"unit":"eninnova-000090#insight-3","date_modified":"2026-10-23"}],"climate_tags":["decarbonization","climate policy","greenhouse gas emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description"]},{"id":"sei-001732","url":"https://climateinsightsdirectory.org/document/sei-001732","title":"Transformative Transparency: Harnessing the power of data for supply chain sustainability","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2015","source_url":"https://www.sei.org/mediamanager/documents/Publications/NEW/SEi-GCP-DB-TransformativeTransparency.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The briefing presents Transformative Transparency, a data-driven platform developed by the Stockholm Environment Institute and the Global Canopy Programme. It aims to increase transparency in the trade of agricultural commodities—specifically those linked to deforestation—by linking production landscapes to consumer countries using customs data, bills of lading, and subnational production data. The platform is designed to help investors, retailers, governments, and consumers identify risk factors and monitor sustainability commitments, such as 'zero deforestation' pledges, by providing a more comprehensive and cost-efficient alternative to footprint analyses and bespoke traceability systems.","ai_generated":true,"unit":"sei-001732#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agricultural expansion has been a primary driver of tropical deforestation over the last ten years, contributing to climate change and threatening local livelihoods.","ai_generated":true,"unit":"sei-001732#insight-1","date_modified":"2026-10-23"},{"text":"Existing supply chain visibility is limited, leaving traders, consumer-facing companies, investors, and governments largely unaware of the specific origins of commodities and their associated environmental and social risks.","ai_generated":true,"unit":"sei-001732#insight-2","date_modified":"2026-10-23"},{"text":"The Transformative Transparency platform utilizes untapped production, trade, and customs data to map the flow of commodities from production landscapes to consumers, identifying specific ports, producers, traders, and transporters.","ai_generated":true,"unit":"sei-001732#insight-3","date_modified":"2026-10-23"},{"text":"The platform distinguishes itself from other methods by being more comprehensive than country-level footprint analyses and more cost-efficient and scalable than bespoke traceability systems.","ai_generated":true,"unit":"sei-001732#insight-4","date_modified":"2026-10-23"},{"text":"The beta version of the platform currently provides interactive supply chain maps for all coffee exports from Colombia and a subset of soy exports from Brazil.","ai_generated":true,"unit":"sei-001732#insight-5","date_modified":"2026-10-23"},{"text":"The developers aim to expand the platform to cover 20–25 producer countries, which would represent approximately 70% of global exports for key commodities linked to deforestation, including soy, beef, palm oil, sugar, cocoa, pulp and paper, timber, and coffee.","ai_generated":true,"unit":"sei-001732#insight-6","date_modified":"2026-10-23"},{"text":"The platform's mapping methodology relies on subnational production data, port-level origin data, customs declarations, bills of lading, and official global trade data from sources like the UN Food and Agricultural Organization.","ai_generated":true,"unit":"sei-001732#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Global supply chain governance","deforestation","climate change","sustainable procurement","greenhouse gas emissions","biodiversity","land use"],"geography_discussed":["Brazil","Colombia","China"],"frame_perspective":[],"analysis_type":["tool description","policy briefing"]},{"id":"wri-000487","url":"https://climateinsightsdirectory.org/document/wri-000487","title":"Visualizing Climate Equity: The CAIT Equity Explorer","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"briefing","language":"en","date_published":"2014","source_url":"https://www.wri.org/research/visualizing-climate-equity-cait-equity-explorer","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The CAIT Equity Explorer is an online visualization tool developed by the World Resources Institute to support UNFCCC climate negotiations. It allows users to compare countries using a variety of metrics related to emissions, development capacity, and vulnerability through radar and column charts.","ai_generated":true,"unit":"wri-000487#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The CAIT Equity Explorer provides a range of indicators for comparing countries, covering current, historical, and projected emissions, as well as development capacity, vulnerability, and the potential benefits of actions.","ai_generated":true,"unit":"wri-000487#insight-1","date_modified":"2026-10-23"},{"text":"The tool employs two primary visualization methods: radar charts for integrated, holistic comparisons of multiple indicators across several countries, and column charts for viewing the rank of countries against a single indicator.","ai_generated":true,"unit":"wri-000487#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate justice","environmental emission","climate change vulnerability","United Nations Framework Convention on Climate Change"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description"]},{"id":"cdkn-000399","url":"https://climateinsightsdirectory.org/document/cdkn-000399","title":"An Introduction to CCORAL: Caribbean Climate Online Risk and Adaptation TooL","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"briefing","language":"en","date_published":"2013","source_url":"https://cdkn.org/sites/default/files/files/CCCCC-Knowledge-Brief_CCORAL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"CCORAL (Caribbean Climate Online Risk and Adaptation TooL) is an open-access online system developed by the Caribbean Community Climate Change Centre (CCCCC) to help Caribbean government agencies, NGOs, and the private sector mainstream climate resilience into daily decision-making. The tool provides a screening exercise to prioritise climate-influenced activities, high-level guidance for both experts and non-experts, and a toolbox of over 70 climate risk management resources. It is specifically designed to fit into existing organisational processes such as national planning, budgeting, and legislation to avoid the high economic costs of climate inaction in the region.","ai_generated":true,"unit":"cdkn-000399#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Caribbean faces severe economic threats from climate variability, climate change, and sea level rise, with annual losses from wind, storm surge, and inland flooding estimated between 1% and 6% of national GDP.","ai_generated":true,"unit":"cdkn-000399#insight-1","date_modified":"2026-10-23"},{"text":"Projections indicate that the annual cost of inaction regarding climate change in the Caribbean could reach USD $10.7 billion by 2025, USD $22 billion by 2050, and USD $46 billion by 2100, which would be equivalent to a perpetual economic recession for CARICOM Member States.","ai_generated":true,"unit":"cdkn-000399#insight-2","date_modified":"2026-10-23"},{"text":"CCORAL is an open-access online system that enables users of all skill levels to apply a risk management approach to decision-making, specifically targeting government Ministries of Finance and Planning, CARICOM agencies, NGOs, universities, and the private sector.","ai_generated":true,"unit":"cdkn-000399#insight-3","date_modified":"2026-10-23"},{"text":"The tool consists of several components, including a screening exercise that takes less than 5 minutes to identify if an activity is climate-influenced, guidance for experts and non-experts, and a searchable toolbox containing over 70 climate risk management tools.","ai_generated":true,"unit":"cdkn-000399#insight-4","date_modified":"2026-10-23"},{"text":"CCORAL is designed to be integrated into standard government activities, including legislation, national planning, strategy/policy development, programme/project management, and budget preparation or evaluation.","ai_generated":true,"unit":"cdkn-000399#insight-5","date_modified":"2026-10-23"},{"text":"The development of CCORAL involved extensive consultation across the Caribbean, with specific pilot country involvement from Barbados, Belize, Jamaica, and Suriname.","ai_generated":true,"unit":"cdkn-000399#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","climate change adaptation","climate resilience","public finance","sea level rise","extreme weather event"],"geography_discussed":["Barbados","Belize","Jamaica","Suriname"],"frame_perspective":[],"analysis_type":["tool description","policy briefing"]},{"id":"sei-001710","url":"https://climateinsightsdirectory.org/document/sei-001710","title":"FACT SHEET Dataprogram: Resources and Energy Analysis Programme (REAP)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"sv","date_published":"2011","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-Factsheet-AnalysAvMiljopaverkanForHallbarUtveckling-2011.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Resources and Energy Analysis Programme (REAP) is an environmental analysis tool that uses an environmentally extended input-output model to assess the global environmental impact of consumption at national, regional, and local levels. It tracks greenhouse gases, ecological footprints, and energy sources across the entire life cycle of products and services, including imports. The tool includes a scenario function to model the effects of political decisions, population changes, and shifts in consumption or transport habits. Originally developed in the UK in 2006, a Swedish version was introduced in April 2011.","ai_generated":true,"unit":"sei-001710#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"REAP is designed to capture the full environmental impact of consumption, which is often significantly higher than the impact of domestic production because it includes emissions from the production and transport of imported goods in other countries.","ai_generated":true,"unit":"sei-001710#insight-1","date_modified":"2026-10-23"},{"text":"The tool provides data on three primary environmental indicators: energy sources, the ecological footprint, and greenhouse gases, specifically carbon dioxide, methane, nitrous oxide, and F-gases.","ai_generated":true,"unit":"sei-001710#insight-2","date_modified":"2026-10-23"},{"text":"REAP utilizes a 'four-region' environmentally extended input-output model that tracks the flow of goods and services between Sweden and three other regions across 178 industries classified by the Standard Industrial Classification (SIC) system.","ai_generated":true,"unit":"sei-001710#insight-3","date_modified":"2026-10-23"},{"text":"The program includes a scenario tool that allows users to simulate how changes in population, housing standards, transport habits, or energy sources affect CO2 emissions and the ecological footprint.","ai_generated":true,"unit":"sei-001710#insight-4","date_modified":"2026-10-23"},{"text":"The tool was first developed in the UK in February 2006 in collaboration with WWF-UK and the Centre for Urban and Regional Ecology (CURE), and a Swedish version was launched in April 2011 with funding from WWF Sweden.","ai_generated":true,"unit":"sei-001710#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas","carbon dioxide","methane","nitrous oxide","sustainable development","energy efficiency"],"geography_discussed":["United Kingdom"],"frame_perspective":[],"analysis_type":["tool description","methodological overview"]}]}