{"query_echo":{"q":"","filters":{"analysis_type":["comparative performance analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'comparative performance analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=comparative+performance+analysis","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-000109","url":"https://climateinsightsdirectory.org/document/iisd-000109","title":"Brazil at a Crossroads","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":"2025-06-12","source_url":"https://www.iisd.org/publications/report/brazil-petrobras-oil-gas-expansion","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report argues that Brazil's plan to increase oil and gas production by 20% by 2030, largely driven by Petrobras, carries significant economic and climate risks. It finds that a majority of Petrobras' new projects would be economically unviable in a 1.5°C warming scenario and recommends that the government curb expansion, redefine Petrobras' mandate toward a transition plan, and redirect investment to avoid potential stranded asset losses of USD 13 to 36 billion.","ai_generated":true,"unit":"iisd-000109#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A significant portion of Petrobras' new oil projects are economically unviable under global climate goals; specifically, up to 85% of the oil in these projects cannot be profitably extracted if global warming is limited to 1.5°C, and the riskiest projects require warming to exceed 2.4°C to be profitable.","ai_generated":true,"unit":"iisd-000109#insight-1","date_modified":"2026-10-23"},{"text":"Petrobras' financial priorities are heavily skewed toward fossil fuels, with plans to invest USD 97 billion in oil and gas activities from 2025 to 2029, while only 15% of its budget is allocated to clean energy diversification and decarbonizing operations.","ai_generated":true,"unit":"iisd-000109#insight-2","date_modified":"2026-10-23"},{"text":"Petrobras underperforms compared to other leading oil and gas companies regarding climate performance, particularly in its diversification strategy, emissions targets, and the carbon intensity of its products.","ai_generated":true,"unit":"iisd-000109#insight-3","date_modified":"2026-10-23"}],"climate_tags":["stranded asset","energy transition","decarbonization","clean energy","emission intensity","climate target"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["economic risk assessment","comparative performance analysis"]},{"id":"climcent-000320","url":"https://climateinsightsdirectory.org/document/climcent-000320","title":"CoastalDEM v2.1 A New, High-Accuracy and High-Resolution Global Coastal Elevation Model Trained on ICESat-2 Satellite Lidar","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"research paper","language":"en","date_published":"2021-09-21","source_url":"https://assets.ctfassets.net/cxgxgstp8r5d/Ygz6c7lz0MaEneXJfE1xT/c9e07d21aa917dc2d7b77d4ba13e7395/CoastalDEM2.1-White-Paper_.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"CoastalDEM v2.1 is a near-global digital elevation model (DEM) developed by Climate Central to provide more accurate land elevation data for coastal flood risk assessments. By utilizing a sophisticated convolutional neural network trained on NASA's ICESat-2 satellite lidar data, the model corrects the positive vertical bias common in satellite radar-derived DEMs, which often mistake building rooftops for ground level. Testing shows that CoastalDEM v2.1 virtually eliminates global median bias in the critical 0 to 5 m elevation band, significantly outperforming other publicly available global DEMs such as NASADEM, TanDEM-X, MERIT, and AW3D30, particularly in densely populated urban areas.","ai_generated":true,"unit":"climcent-000320#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CoastalDEM v2.1 significantly reduces vertical bias compared to other global digital elevation models (DEMs), virtually eliminating global median bias to less than 0.01 m in the 0 to 5 m elevation band.","ai_generated":true,"unit":"climcent-000320#insight-1","date_modified":"2026-10-23"},{"text":"In areas with moderate urban development (over 1,000 people per square kilometer) and elevations below 5 m, CoastalDEM v2.1's median vertical bias is 0.09 m, which is three times lower than CoastalDEM v1.1 and ten times lower than other comparable DEMs.","ai_generated":true,"unit":"climcent-000320#insight-2","date_modified":"2026-10-23"},{"text":"In very high population density areas (over 10,000 people per square kilometer), CoastalDEM v2.1 shows a median bias of 0.42 m, whereas other DEMs range from 2.04 to 2.84 m; this difference is approximately three times the range of sea level rise projected by the IPCC AR6 for 2100 (0.5 to 1.0 m).","ai_generated":true,"unit":"climcent-000320#insight-3","date_modified":"2026-10-23"},{"text":"The model's accuracy was validated against airborne lidar data in the U.S. and Australia, where it outperformed other global DEMs and even surpassed the performance of CoastalDEM v1.1 in the U.S., despite v1.1 being specifically trained on U.S. data.","ai_generated":true,"unit":"climcent-000320#insight-4","date_modified":"2026-10-23"},{"text":"CoastalDEM v2.1 utilizes a more advanced convolutional neural network architecture with thousands of hidden units and over a thousand input variables per pixel, trained on global ICESat-2 satellite lidar data to better represent the built environment globally.","ai_generated":true,"unit":"climcent-000320#insight-5","date_modified":"2026-10-23"},{"text":"The model expands the elevation range for predicted corrections to between -10 m and 120 m, compared to the 1 to 20 m range used in CoastalDEM v1.1, to better handle low flat regions and tall skyscrapers.","ai_generated":true,"unit":"climcent-000320#insight-6","date_modified":"2026-10-23"}],"climate_tags":["sea level rise","coastal flood"],"geography_discussed":["United States","Australia","Europe"],"frame_perspective":[],"analysis_type":["technical validation","comparative performance analysis"]}]}