{"query_echo":{"q":"","filters":{"analysis_type":["tool description"]},"warnings":[]},"total":{"value":30,"relation":"eq"},"page":2,"page_size":20,"self":"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":"iisd-001765","url":"https://climateinsightsdirectory.org/document/iisd-001765","title":"The Measure of Progress","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":"2001-10","source_url":"https://www.iisd.org/system/files/publications/measure_dashboard_brochure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The IISD's Dashboard of Sustainability is a visual instrument panel that aggregates scientific data into four dials—economic, environmental, social, and institutional—to provide an easily understood gauge of a country's sustainability performance. Developed over two years at a cost of half-a-million dollars, the tool uses a color-coded system (green for sustainable, yellow for neutral, and red for urgent warning) to inform the general public, media, and policy-makers. The project is entering a second phase requiring US$250,000 in funding to enhance its internet functionality, create a state-of-the-art database, and refine its indicator sets. The Dashboard is scheduled to be unveiled at the World Summit for Sustainable Development in Johannesburg, South Africa, in September 2002.","ai_generated":true,"unit":"iisd-001765#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The tool employs a color-coded indicator system where green represents the most sustainable conditions, yellow is neutral, and red signals an urgent warning of non-sustainability.","ai_generated":true,"unit":"iisd-001765#insight-1","date_modified":"2026-10-23"}],"climate_tags":["sustainable development"],"geography_discussed":["Canada"],"frame_perspective":[],"analysis_type":["tool description","project proposal"]},{"id":"cdkn-000544","url":"https://climateinsightsdirectory.org/document/cdkn-000544","title":"CDKN-funded research has provided decision makers in the Caribbean with access to climate data specific to the region","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/Data_infographic_low_res_print_updated280417.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines the CARIWIG online data portal, which provides historical climate data and future projections at a 25km resolution for the Caribbean. It highlights four specific tools: a Weather Generator used in Belize to link rising minimum temperatures to dengue fever risks; a Tropical Storm Model used in Jamaica to predict river discharge timing during category 5 hurricanes; the CARIDRO drought tool used in Cuba to project 12-18 moderate to extreme droughts in Las Tunas province by 2050; and the CCORAL tool for integrating climate change into policy. The research emphasizes implementing adaptation actions that perform well across a wide range of uncertain future conditions.","ai_generated":true,"unit":"cdkn-000544#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The CARIWIG online data portal provides historical climate data and future projections based on two Global Climate Models (GCMs) downscaled to a Regional Climate Model (RCM) with a 25km resolution across the Caribbean.","ai_generated":true,"unit":"cdkn-000544#insight-1","date_modified":"2026-10-23"},{"text":"A Weather Generator tool was applied in Belize to determine that an increase in the number of days where minimum temperatures exceed 18°C is likely to make conditions more favourable for dengue fever.","ai_generated":true,"unit":"cdkn-000544#insight-2","date_modified":"2026-10-23"},{"text":"The Tropical Storm Model (TSM) was used in Jamaica to find that peak river discharge is likely to occur approximately 14 hours after a category 5 hurricane begins.","ai_generated":true,"unit":"cdkn-000544#insight-3","date_modified":"2026-10-23"},{"text":"The CARIDRO drought tool was used to project that Las Tunas province in Cuba will experience between 12 and 18 moderate to extreme droughts from 2011 to 2050.","ai_generated":true,"unit":"cdkn-000544#insight-4","date_modified":"2026-10-23"},{"text":"Because climate projections are uncertain, the document recommends that Caribbean decision makers prioritize adaptation actions that are effective across a wide range of current and potential future conditions, supported by the Caribbean Climate Online Risk and Adaptation tool (CCORAL).","ai_generated":true,"unit":"cdkn-000544#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate data","climate change scenario","Climate risk assessment","climate change adaptation","drought","tropical cyclone"],"geography_discussed":["Belize","Jamaica","Cuba","Las Tunas Province"],"frame_perspective":[],"analysis_type":["case study","tool description"]},{"id":"cdkn-000622","url":"https://climateinsightsdirectory.org/document/cdkn-000622","title":"Achieving Development Resilient to Climate Change: A SOURCEBOOK FOR THE CARIBBEAN WATER SECTOR","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"briefing","language":"en","date_published":null,"source_url":"http://cdkn.org/wp-content/uploads/2017/01/Information-Brief-2-WV-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes CCORAL, a Caribbean-specific tool used to screen policies, legislation, plans, budgets, and projects for climate risks. It outlines a three-step process involving basic screening questions, a detailed vulnerability workbook, and risk management analyses. The briefing specifically details how CCORAL applies to the water sector, including water policies, legislation, supply plans, financial budgeting, and infrastructure projects, noting that the tool is designed for use by both climate specialists and non-specialists.","ai_generated":true,"unit":"cdkn-000622#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CCORAL is a web-based platform specifically for the Caribbean used to screen various development activities—including policies, legislation, plans, budgets, and projects—to identify climate risks and identify options for enhancing resilience.","ai_generated":true,"unit":"cdkn-000622#insight-1","date_modified":"2026-10-23"},{"text":"The CCORAL application process consists of three core stages: an initial set of 10 basic questions to determine if climate variability influences the process, a detailed workbook to understand vulnerabilities and resilience options, and optional detailed risk management analyses using a Toolbox of methods.","ai_generated":true,"unit":"cdkn-000622#insight-2","date_modified":"2026-10-23"},{"text":"In the water sector, CCORAL is applied to five primary areas: water policies and strategies (integration with other policies), legislation and regulations (legal tools for resource management), management and supply plans (long-term climate and demand changes), financial planning and budgeting (financing sustainability), and projects or operational activities (considering risks like droughts, floods, sea level rise, and storm damage).","ai_generated":true,"unit":"cdkn-000622#insight-3","date_modified":"2026-10-23"},{"text":"The tool is designed to be accessible to water sector professionals who are not climate change experts and is most effective when used in participatory environments with various stakeholders during the development of projects or review of plans.","ai_generated":true,"unit":"cdkn-000622#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","climate resilience","water management","water distribution system","climate change adaptation","drought","flood","sea level rise"],"geography_discussed":["Belize"],"frame_perspective":[],"analysis_type":["tool description","guidance"]},{"id":"iisd-001120","url":"https://climateinsightsdirectory.org/document/iisd-001120","title":"Community-based Risk Screening Tool – Adaptation and Livelihoods","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/brochure_cristal_en.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"CRiSTAL (Community-based Risk Screening Tool – Adaptation and Livelihoods) is a decision-support tool developed by IUCN, IISD, SEI, and Intercooperation to help project managers understand the links between climate, livelihoods, and project activities. The tool uses a four-step analytical framework implemented via Microsoft Excel to identify climate hazards, assess their impact on livelihood resources, and adjust project activities to enhance adaptive capacity and minimize maladaptation. Since its 2007 launch, it has been applied in over 20 countries, following initial field tests in Mali, Bangladesh, Tanzania, Nicaragua, and Sri Lanka.","ai_generated":true,"unit":"iisd-001120#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CRiSTAL provides an analytical framework to help users understand how climate-related hazards affect project areas and local livelihoods, how people cope with these impacts, and which livelihood resources are most critical for coping. It further assesses how project activities affect these resources and identifies necessary adjustments to increase their availability.","ai_generated":true,"unit":"iisd-001120#insight-1","date_modified":"2026-10-23"},{"text":"The tool is structured into two modules and four logical steps: Module 1 covers the climate context (current hazards, climate change, impacts, and coping strategies) and the livelihood context (identifying resources and rating hazard impacts and importance). Module 2 focuses on assessing project impacts on those resources and adjusting project activities to reduce vulnerability and enhance adaptive capacity.","ai_generated":true,"unit":"iisd-001120#insight-2","date_modified":"2026-10-23"},{"text":"CRiSTAL was developed by a partnership including the International Union for the Conservation of Nature (IUCN), the International Institute for Sustainable Development (IISD), the Stockholm Environment Institute (SEI), and Intercooperation to prevent maladaptation and foster adaptation based on local conditions.","ai_generated":true,"unit":"iisd-001120#insight-3","date_modified":"2026-10-23"},{"text":"The tool utilizes Microsoft Excel for data recording and summarization. While it requires some secondary scientific information for the initial climate context step, the remaining data is gathered through stakeholder and community consultations.","ai_generated":true,"unit":"iisd-001120#insight-4","date_modified":"2026-10-23"},{"text":"Since its launch in 2007, CRiSTAL has been used in more than 20 countries. Its development included initial field tests on natural resource management projects in Sri Lanka, Nicaragua, Tanzania, Bangladesh, and Mali.","ai_generated":true,"unit":"iisd-001120#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","risk reduction","adaptive capacity","maladaptation","natural resource management","Community based adaptation"],"geography_discussed":["Mali","Bangladesh","Tanzania","Nicaragua","Sri Lanka"],"frame_perspective":[],"analysis_type":["tool description"]},{"id":"iisd-001121","url":"https://climateinsightsdirectory.org/document/iisd-001121","title":"Herramienta para la Identificación Comunitaria de Riesgos - en Resumen Adaptación y Medios de Vida","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"es","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/brochure_cristal_es.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes CRiSTAL (Community Risk Identification and Adaptation Tool), a framework developed by IUCN, IISD, SEI, and Intercooperation to analyze the links between climate threats, local livelihoods, and project activities. The tool uses a two-module process—Climate Context and Livelihoods, followed by Adaptation Planning and Management—to help project planners avoid maladaptation and enhance community resilience. It relies on a combination of scientific climate data and community consultations, with data managed via Microsoft Excel. Since its 2007 launch, it has been applied in over 20 countries, following initial field tests in Mali, Bangladesh, Tanzania, Nicaragua, and Sri Lanka.","ai_generated":true,"unit":"iisd-001121#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CRiSTAL provides an analytical framework to understand how climate threats affect project areas and local livelihoods, how people respond to these impacts, and which livelihood resources are most critical for coping with these threats.","ai_generated":true,"unit":"iisd-001121#insight-1","date_modified":"2026-10-23"},{"text":"The tool is structured into two modules: the first focuses on climate context and livelihoods, while the second focuses on adaptation planning and management, guiding users through four steps to adjust project activities to increase adaptation capacity.","ai_generated":true,"unit":"iisd-001121#insight-2","date_modified":"2026-10-23"},{"text":"CRiSTAL was developed by a partnership including the International Union for Conservation of Nature (IUCN), the International Institute for Sustainable Development (IISD), the Stockholm Environment Institute (SEI), and Intercooperation to prevent maladaptation and promote local adaptation strategies.","ai_generated":true,"unit":"iisd-001121#insight-3","date_modified":"2026-10-23"},{"text":"Since its launch in 2007, the tool has been implemented in more than 20 countries, with early field testing conducted in Sri Lanka, Nicaragua, Tanzania, Bangladesh, and Mali.","ai_generated":true,"unit":"iisd-001121#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","risk reduction","Community based adaptation","maladaptation","climate variability"],"geography_discussed":["Mali","Bangladesh","Tanzania","Nicaragua","Sri Lanka"],"frame_perspective":[],"analysis_type":["methodological framework","tool description"]},{"id":"iisd-001584","url":"https://climateinsightsdirectory.org/document/iisd-001584","title":"COMMUNITY-BASED RISK SCREENING TOOL – ADAPTATION AND LIVELIHOODS","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/iisd-cristal-brochure-2015.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes the Community-based Risk Screening Tool (CRiSTAL), a decision-support application used to integrate climate adaptation into local projects. It outlines the tool's objective to analyze how climate hazards affect livelihoods and project activities, its three-phase analytical approach, and the various training and consultancy services provided by the International Institute for Sustainable Development (IISD) and its partners.","ai_generated":true,"unit":"iisd-001584#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CRiSTAL is designed to help users understand the relationship between climate hazards, local livelihoods, and project activities. Specifically, it assesses how current and future hazards affect project areas, how people respond to these impacts, which livelihood resources are most critical for response strategies, and how project activities influence the availability of those resources.","ai_generated":true,"unit":"iisd-001584#insight-1","date_modified":"2026-10-23"},{"text":"The tool employs a three-phase analytical process: Phase A focuses on understanding the livelihoods and climate context; Phase B evaluates implications for the project; and Phase C supports monitoring and evaluation. The process involves five steps, including describing the livelihoods context, analyzing climate risks, revising existing activities, designing new activities, and identifying monitoring and evaluation framework elements.","ai_generated":true,"unit":"iisd-001584#insight-2","date_modified":"2026-10-23"},{"text":"CRiSTAL utilizes a combination of desk-based reviews, expert interviews, and participatory community consultations to gather data on local livelihoods and coping strategies. It is available as a Windows-compatible desktop application in English and Spanish, with specialized versions available for forests, food security, and protected areas (CRiSTAL Parks).","ai_generated":true,"unit":"iisd-001584#insight-3","date_modified":"2026-10-23"},{"text":"Since 2007, the tool has been implemented in more than 30 countries across Africa, Asia, and Latin America. In 2014, it was recognized by the Intergovernmental Panel on Climate Change as a decision-support tool for adaptation risk management and has been included in resources from the World Bank, UNEP, and UNFCCC.","ai_generated":true,"unit":"iisd-001584#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate risk management","Community based adaptation","food security"],"geography_discussed":["Peru","Asia","Africa","Latin America"],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]},{"id":"sei-000200","url":"https://climateinsightsdirectory.org/document/sei-000200","title":"The Impact Benefits Calculator (IBC)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/IBC/Introduction_to_IBC.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Impact Benefits Calculator (IBC) is a tool integrated into LEAP that translates emissions scenarios into estimates of health and climate impacts. It utilizes parameterized results from the GEOS-Chem Adjoint model and standard concentration-response functions to calculate population-weighted PM2.5 concentrations and associated premature mortality. The tool is designed to be accessible to planners in the developing world, reducing complex modeling that previously required supercomputers to calculations that run in seconds. It currently supports 161 countries and analyzes pollutants including CO2, methane, black carbon, and nitrogen oxides.","ai_generated":true,"unit":"sei-000200#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The IBC estimates health and climate impacts by combining LEAP emissions scenarios with parameterized results from the GEOS-Chem Adjoint global 3D chemical transport model to determine population-weighted concentrations of fine particulate matter (PM2.5).","ai_generated":true,"unit":"sei-000200#insight-1","date_modified":"2026-10-23"},{"text":"To function, the IBC requires comprehensive emissions inventories and scenarios for various pollutants, including CO2, methane (CH4), black carbon, organic carbon, PM2.5, non-methane volatile organic compounds (NMVOCs), nitrogen oxides (NOx), sulfur dioxide (SO2), and ammonia (NH3).","ai_generated":true,"unit":"sei-000200#insight-2","date_modified":"2026-10-23"},{"text":"The tool incorporates global emissions data for the period 2010-2050 from the IIASA ECLIPSE scenarios, offering both a baseline scenario with minor worldwide efforts and a maximal effort scenario involving 16 measures, such as banning agricultural residue burning.","ai_generated":true,"unit":"sei-000200#insight-3","date_modified":"2026-10-23"},{"text":"The IBC increases accessibility for planners in the developing world by parameterizing GEOS-Chem Adjoint calculations, which reduces processing time from several days on supercomputers to a few seconds within LEAP.","ai_generated":true,"unit":"sei-000200#insight-4","date_modified":"2026-10-23"},{"text":"The IBC has been calibrated for use in 161 countries and was developed through a collaboration between the Stockholm Environment Institute and the University of Colorado, with support from UNEP and the Climate and Clean Air Coalition (CCAC).","ai_generated":true,"unit":"sei-000200#insight-5","date_modified":"2026-10-23"}],"climate_tags":["air pollution","carbon dioxide","methane","Green ammonia","Nationally Determined Contributions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]},{"id":"wri-000518","url":"https://climateinsightsdirectory.org/document/wri-000518","title":"Material Flow Accounts","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"policy brief","language":"en","date_published":null,"source_url":"https://www.wri.org/research/material-flow-accounts","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document advocates for the adoption of Material Flow Accounts (MFA) as a tool for managing environmental policy challenges, such as tracking pollutants and prioritizing policy interventions. It describes a pilot MFA database developed by the World Resources Institute (WRI) that tracks over 190 commodities across five resource sectors in the U.S. economy, with the ultimate goal of transitioning the compilation of these accounts to the federal government.","ai_generated":true,"unit":"wri-000518#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Material Flow Accounts (MFA) systems track materials cycling into the economy and entering the environment throughout a commodity's life cycle to address specific policy challenges, including the tracking of pollutants across environmental media, measuring progress on national environmental quality tools, facilitating communication between Federal offices and the public, and prioritizing policy interventions.","ai_generated":true,"unit":"wri-000518#insight-1","date_modified":"2026-10-23"},{"text":"The World Resources Institute (WRI) has created a pilot MFA database covering more than 190 commodities across five primary resource sectors: agriculture, forestry, minerals, metals, and non-renewable organic materials (such as fossil fuels). This database tracks the entire chain of materials in the U.S. industrial economy, from primary feedstocks like petroleum and salt to processed materials like gasoline and benzene.","ai_generated":true,"unit":"wri-000518#insight-2","date_modified":"2026-10-23"},{"text":"The long-term objective of WRI's MFA activity is to transition the periodic compilation and dissemination of U.S. material flows accounts from civil society to the federal government.","ai_generated":true,"unit":"wri-000518#insight-3","date_modified":"2026-10-23"}],"climate_tags":["environmental policy","fossil fuel"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy proposal","tool description"]},{"id":"wri-000588","url":"https://climateinsightsdirectory.org/document/wri-000588","title":"Costs and Emissions Appraisal Tool for Transit Buses (Technical Note)","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.wri.org/research/costs-and-emissions-appraisal-tool-transit-buses","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Costs and Emissions Appraisal Tool for Transit Buses allows users to compare the costs and emissions of two bus fleets, each containing up to three bus types. The tool supports custom data input for specific cities or countries, while providing default data for Brazil and the United States.","ai_generated":true,"unit":"wri-000588#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The tool is designed for the preliminary analysis phase to assist transit agencies and bus operators in deciding on alternative bus types by assessing financial viability and expected emissions reductions.","ai_generated":true,"unit":"wri-000588#insight-1","date_modified":"2026-10-23"},{"text":"The Excel-based tool enables the comparison of two bus fleets, with each fleet consisting of up to three bus types that may vary by length, fuel type, and the technology used to meet emissions standards.","ai_generated":true,"unit":"wri-000588#insight-2","date_modified":"2026-10-23"},{"text":"While users can input their own local fuel and vehicle unit cost data, the tool includes default data for the United States and Brazil.","ai_generated":true,"unit":"wri-000588#insight-3","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions reduction"],"geography_discussed":["Brazil","United States"],"frame_perspective":[],"analysis_type":["tool description"]},{"id":"wri-000862","url":"https://climateinsightsdirectory.org/document/wri-000862","title":"The Costs and Benefits Appraisal Tool for Transit Buses","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/costs-and-benefits-appraisal-tool-transit-buses","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The Costs and Benefits Appraisal Tool for Transit Buses is an updated webtool that enables bus operators and city officials to compare the costs, emissions, and social benefits of various bus fuel types. It improves upon its predecessor by incorporating expanded default data on electric bus costs and operational information across more bus types and geographic areas, while adding social cost and benefit calculations and simplified cost functions.","ai_generated":true,"unit":"wri-000862#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Tool is designed to support cost-efficient decision-making for clean bus upgrades, enable transit agencies to validate operator data, and inform city officials about the social benefits of low-carbon transit fleets.","ai_generated":true,"unit":"wri-000862#insight-1","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description"]}]}