{"query_echo":{"q":"","filters":{"analysis_type":["methodological survey"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'methodological survey' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodological+survey","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-000493","url":"https://climateinsightsdirectory.org/document/clipolin-000493","title":"Improving the Effectiveness of Climate Finance","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2011-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2011/11/Effectiveness-of-Climate-Finance-Methodology.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how different financial instruments and institutions define and calculate 'leverage'—the ability of public funds to catalyze additional investment. It finds that leverage is often conflated with co-financing and varies wildly by instrument, making cross-comparison nearly impossible. The authors propose a new framework based on counterfactuals, risk mitigation, and the avoidance of double counting to improve the rigor of climate finance reporting.","ai_generated":true,"unit":"clipolin-000493#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is no single, universal definition of financial leverage, which makes it almost impossible to compare the effectiveness of different climate finance instruments.","ai_generated":true,"unit":"clipolin-000493#insight-1","date_modified":"2026-10-23"},{"text":"The United Nation’s High-Level Advisory Group on Finance (AGF) uses an average leverage factor of 3x for private investment in mitigation, though this is derived from diverse instruments with varying ratios: non-concessional debt (2-5x), grant-funded debt (1:8-10), and grant-funded equity/guarantees (1:20).","ai_generated":true,"unit":"clipolin-000493#insight-2","date_modified":"2026-10-23"},{"text":"Carbon finance leverage ratios, often reported by the World Bank as 1:9 on average, can be misleading because a higher leverage ratio often indicates that the carbon finance had a lower impact on the project's internal rate of return (IRR) and profitability.","ai_generated":true,"unit":"clipolin-000493#insight-3","date_modified":"2026-10-23"},{"text":"The Clean Technology Fund (CTF) reported a leverage ratio of approximately 1:8.6 for its first cohort of investment plans, though the report notes that many of these were already planned MDB investments that the CTF opportunistically added value to.","ai_generated":true,"unit":"clipolin-000493#insight-4","date_modified":"2026-10-23"},{"text":"The Multilateral Investment Guarantee Agency (MIGA) calculates leverage as the ratio of estimated foreign direct investment (FDI) facilitated by its guarantees to the net guarantee coverage issued, estimating an average of four times the insured amount between 1990 and 2004.","ai_generated":true,"unit":"clipolin-000493#insight-5","date_modified":"2026-10-23"},{"text":"To improve the rigor of leverage assessments, the authors propose a methodology based on five principles: avoiding double counting, demonstrating the counterfactual, providing evidence of risk mitigation or incremental cost reduction, showing evidence of replication, and proving substitution.","ai_generated":true,"unit":"clipolin-000493#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate finance","private investment","risk reduction","feed-in tariff","multilateral development bank"],"geography_discussed":["Colombia","Egypt","Indonesia","Kazakhstan","Mexico","Morocco","Philippines","South Africa","Thailand","Turkey","Ukraine","Vietnam","People's Republic of China","India"],"frame_perspective":[],"analysis_type":["methodological survey","policy analysis"]},{"id":"bc3res-000071","url":"https://climateinsightsdirectory.org/document/bc3res-000071","title":"The Health Effects of Climate Change: A Survey of Recent Quantitative Research","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2010-10","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20101025111719542911483.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document provides a comprehensive survey of quantitative research on the health impacts of climate change, categorizing studies by their methodological approach (primary, secondary, and comparative risk assessments) and the statistical models employed (time-series, non-parametric, and panel/spatial models). It highlights the complex relationship between climatic variables and diseases, particularly malaria, and reviews major global reports from the WHO and the Stern Review to outline the broader economic and public health implications of global warming.","ai_generated":true,"unit":"bc3res-000071#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors categorize quantitative health studies into three types: primary studies analyzing direct temperature effects on disease burden, secondary studies examining socio-economic effects via models like Integrated Assessment Models (IAMs), and Comparative Risk Assessments (CRA) that project future health effects using climate models.","ai_generated":true,"unit":"bc3res-000071#insight-1","date_modified":"2026-10-23"},{"text":"Research on malaria indicates it is highly sensitive to long-run climate changes, with specific associations found between transmission and maximum temperature anomalies in Kenya, and a five-fold increase in epidemic risk in the Indian region following El Niño events.","ai_generated":true,"unit":"bc3res-000071#insight-2","date_modified":"2026-10-23"},{"text":"Environmental management is estimated to be capable of preventing approximately 42% of the global malaria burden, which equates to half a million deaths annually, though this effectiveness varies by region from 36% in the Eastern Mediterranean to 64% in the Americas.","ai_generated":true,"unit":"bc3res-000071#insight-3","date_modified":"2026-10-23"},{"text":"General Equilibrium models have produced contrasting results regarding the net impact of temperature increases; some suggest a reduction in mortality due to decreased winter deaths in temperate climates, while others argue these findings are biased by omitting extreme weather events and human adaptation.","ai_generated":true,"unit":"bc3res-000071#insight-4","date_modified":"2026-10-23"},{"text":"The Stern Review suggests that global warming above 3-4°C would reduce global welfare, and increases of 5-6°C could result in a 5%-10% reduction in global GDP relative to a scenario without climate change.","ai_generated":true,"unit":"bc3res-000071#insight-5","date_modified":"2026-10-23"},{"text":"Current estimates suggest that 325 million people are seriously affected by climate change annually, with long-term consequences affecting over 235 million people today.","ai_generated":true,"unit":"bc3res-000071#insight-6","date_modified":"2026-10-23"},{"text":"Climate change is projected to cause over 150,000 annual deaths from malnutrition and approximately 95,000 fatalities from diarrhea, with over 90% of malaria and diarrhea deaths occurring in children aged 5 years or younger.","ai_generated":true,"unit":"bc3res-000071#insight-7","date_modified":"2026-10-23"},{"text":"The burden of vector-borne diseases is disproportionately distributed, with per capita mortality rates in developing nations being nearly 300 times greater than in developed regions.","ai_generated":true,"unit":"bc3res-000071#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change","public health","malaria","vector-borne disease","climate finance"],"geography_discussed":["Kenya","India","Venezuela","United States","Finland","Denmark","Europe","Bangladesh","Mali","Zimbabwe","Ethiopia","Rwanda","Pakistan","Tanzania","Malawi","Africa","Asia"],"frame_perspective":[],"analysis_type":["literature review","methodological survey"]},{"id":"iisd-000555","url":"https://climateinsightsdirectory.org/document/iisd-000555","title":"Subsidy Estimation: A survey of current practice","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2010-06-28","source_url":"https://www.iisd.org/publications/report/subsidy-estimation-survey-current-practice","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The GSI has developed a manual of subsidy estimation methodologies based on the WTO's Agreement on Subsidies and Countervailing Measures to provide a foundation for internationally-agreed best practices and consistent data for subsidy reform.","ai_generated":true,"unit":"iisd-000555#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Subsidy reform is hindered by a lack of consistent, internationally-comparable data and incomplete guidance on how to measure subsidies.","ai_generated":true,"unit":"iisd-000555#insight-1","date_modified":"2026-10-23"},{"text":"The GSI has compiled a manual of subsidy estimation methodologies derived from the WTO's Agreement on Subsidies and Countervailing Measures and sources from inter-governmental organizations, countervailing authorities, government agencies, and non-governmental agencies.","ai_generated":true,"unit":"iisd-000555#insight-2","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological survey"]},{"id":"catf-001181","url":"https://climateinsightsdirectory.org/document/catf-001181","title":"Bridging the Gaps: A Survey of Methods, Challenges, and Pathways Forward for Superhot Rock Siting and Characterization","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cdn.catf.us/wp-content/uploads/2025/01/11102623/shr-bridging-gaps-siting.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report provides a comprehensive survey of subsurface characterization technologies for superhot rock (SHR) geothermal systems, defined by temperatures above 374°C. It categorizes methods by spatial scale: exploration (100s-10s km), reservoir (10s-1 km), and monitoring (1 km-1 m). Key findings highlight that while many geophysical tools are mature, they lack validation in SHR-specific environments. The authors emphasize the need for integrated data analysis, such as joint inversion and machine learning, to reduce exploration risk and improve the accuracy of temperature and stress models. The report concludes that advancing SHR energy requires standardized data sharing, increased investment in high-temperature sensors, and the development of SHR-specific play fairway analyses.","ai_generated":true,"unit":"catf-001181#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Superhot Rock (SHR) geothermal systems are defined by temperatures where water becomes supercritical (>374°C) and are typically accessible at depths of 15 km or less, though they can be found within 5 km in areas of active magmatism.","ai_generated":true,"unit":"catf-001181#insight-1","date_modified":"2026-10-23"},{"text":"Magnetotellurics (MT) is considered the most effective electromagnetic method for geothermal exploration due to its depth sensitivity and ability to resolve magmatic/hydrothermal systems, though it may fail to detect smaller resistive features like magma sills.","ai_generated":true,"unit":"catf-001181#insight-2","date_modified":"2026-10-23"},{"text":"The Brittle-Ductile Transition (BDT) zone serves as a critical depth marker for temperature and impacts permeability; however, the bottom of the seismogenic zone is often used to constrain BDT depth.","ai_generated":true,"unit":"catf-001181#insight-3","date_modified":"2026-10-23"},{"text":"Seismic methods, specifically the identification of the 'K-horizon' reflector, have been used to indicate the presence of supercritical fluids, as seen in Larderello, Italy, though further drilling validation is required.","ai_generated":true,"unit":"catf-001181#insight-4","date_modified":"2026-10-23"},{"text":"Play Fairway Analysis (PFA), adapted from the oil and gas industry, is used to identify 'fairways' with high likelihood of hosting resources, but current models often rely on expert-opinion weighting which may introduce bias.","ai_generated":true,"unit":"catf-001181#insight-5","date_modified":"2026-10-23"},{"text":"Machine learning (ML) shows potential for removing expert bias in geothermal assessments, but its application to SHR is constrained by a severe lack of positive-labelled training sites.","ai_generated":true,"unit":"catf-001181#insight-6","date_modified":"2026-10-23"},{"text":"The Stanford Thermal Model (STM) predicts temperatures at depth for the contiguous USA with a mean average error of 4.8°C, though it is limited to the top 7 km of the crust and assumes steady-state conductive heat transfer.","ai_generated":true,"unit":"catf-001181#insight-7","date_modified":"2026-10-23"},{"text":"Supercritical water hydrofracturing experiments in granite have demonstrated the creation of a 'cloud-fracture network' (CFN) of distributed damage, rather than the localized fractures seen at lower temperatures.","ai_generated":true,"unit":"catf-001181#insight-8","date_modified":"2026-10-23"},{"text":"Induced seismicity in SHR projects can be mitigated using Adaptive Traffic Light Systems (ATLS), which control water injection rates and pressure based on real-time monitoring.","ai_generated":true,"unit":"catf-001181#insight-9","date_modified":"2026-10-23"},{"text":"Geochemical exploration tools for conventional geothermal systems are limited in SHR environments due to a lack of understanding of equilibrium reactions and mineral conditions at supercritical temperatures.","ai_generated":true,"unit":"catf-001181#insight-10","date_modified":"2026-10-23"}],"climate_tags":["geothermal energy"],"geography_discussed":["Italy","Iceland","Japan","United States","Kenya","Nevada"],"frame_perspective":[],"analysis_type":["technology gap analysis","literature review","methodological survey"]}]}