{"query_echo":{"q":"","filters":{"analysis_type":["modeling analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'modeling analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=modeling+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":"wwf-000805","url":"https://climateinsightsdirectory.org/document/wwf-000805","title":"Nature-based Solutions for Climate Resilient Infrastructure Planning in Indonesia","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"policy brief","language":"en","date_published":"2025","source_url":"https://www.worldwildlife.org/documents/722/8ic56wwj1_SIPA_IDN_PolicyBrief_2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies critical areas for the conservation and restoration of ecosystems to mitigate climate risks such as flooding, landslides, and coastal storms in Indonesia. It evaluates three scenarios: unconstrained conservation, infrastructure-impact conservation, and restoration. The analysis reveals that a small percentage of land area provides disproportionately high benefits for millions of people and significant portions of the national road network. Most of these priority areas lie outside existing protected networks, suggesting a need for new regulatory approaches. The brief recommends integrating these findings into national development plans (RPJMN, RPJPN), spatial planning (RTRW), and the 2020-2040 Road Network General Plan, while calling for capacity building and the integration of NbS data into national mapping platforms.","ai_generated":true,"unit":"wwf-000805#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Ecosystems most impacted by road and settlement development provide climate resilience for approximately 147 million people and 68% of the road network, despite covering only 16% of Indonesia's land.","ai_generated":true,"unit":"wwf-000805#insight-1","date_modified":"2026-10-23"},{"text":"Conserving priority areas across 18% of Indonesia's land area (34.5 million hectares) could support climate resilience for 113 million people and 44% of the road network (38,980 km).","ai_generated":true,"unit":"wwf-000805#insight-2","date_modified":"2026-10-23"},{"text":"Restoring degraded forests on 11% of the country's land area would enhance resilience for 143 million people and protect 53% of the national road network (approximately 47,000 km).","ai_generated":true,"unit":"wwf-000805#insight-3","date_modified":"2026-10-23"},{"text":"A significant majority of identified priority areas for conservation and restoration are located outside the existing protected area network, indicating a need for new land use management or regulatory schemes.","ai_generated":true,"unit":"wwf-000805#insight-4","date_modified":"2026-10-23"},{"text":"The analysis identifies four specific ecosystem services that function as NbS for climate resilience: sediment retention, flood risk reduction, water recharge, and coastal protection.","ai_generated":true,"unit":"wwf-000805#insight-5","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","climate resilience","ecosystem service","coastal management","deforestation","climate change adaptation","biodiversity conservation"],"geography_discussed":["Papua","West Kalimantan","Central Kalimantan","South Sumatra","South Sulawesi","North Sulawesi","West Sumatra","Borneo","Sumatra","Riau"],"frame_perspective":[],"analysis_type":["modeling analysis","policy brief"]},{"id":"wwf-001045","url":"https://climateinsightsdirectory.org/document/wwf-001045","title":"Nature-based Solutions for Climate Resilient Infrastructure Planning in the Philippines","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"policy brief","language":"en","date_published":"2025","source_url":"https://www.worldwildlife.org/documents/725/SIPA_PolicyBrief_PH_2025_new.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies critical areas for conservation and restoration in the Philippines to protect populations and road networks from climate hazards. It proposes integrating NbS into the Infrastructure Flagship Program and other national development plans to mitigate economic losses and environmental degradation.","ai_generated":true,"unit":"wwf-001045#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Conservation of intact ecosystems covering 16% of the Philippines' total land area (4.6 million hectares) could support climate resilience for 43 million people and 42% of the road network (15,800 km). Most of these areas (75%) are located outside the Protected Area (PA) network.","ai_generated":true,"unit":"wwf-001045#insight-1","date_modified":"2026-10-23"},{"text":"Ecosystems within a 15-25km buffer of roads and settlements, representing 19% of the country's land area (5.6 million hectares), are critical for the climate resilience of approximately 53 million people and 56% of the national road network.","ai_generated":true,"unit":"wwf-001045#insight-2","date_modified":"2026-10-23"},{"text":"Restoring degraded forests on 13% of the country's land area would enhance climate resilience for 51 million people and protect 52% of the national road network, with only 7% of these priority areas currently inside Protected Areas.","ai_generated":true,"unit":"wwf-001045#insight-3","date_modified":"2026-10-23"},{"text":"The Philippines faces severe climate risks, with over 60% of land area vulnerable to hazards such as floods, typhoons, droughts, and landslides, exposing over 74% of the population. Annual economic losses from floods, typhoons, and tropical storms range between 2% and 3% of GDP, potentially rising to 18% by 2070 under a high emission scenario.","ai_generated":true,"unit":"wwf-001045#insight-4","date_modified":"2026-10-23"},{"text":"Road infrastructure has historically driven significant deforestation; between 1934 and 1988, 78% (2.1 Mha) of the 9.8 Mha of forest lost occurred within 1.5km of road development.","ai_generated":true,"unit":"wwf-001045#insight-5","date_modified":"2026-10-23"},{"text":"The document recommends integrating NbS into the Department of Economy, Planning, and Development's (DEPDev) Infrastructure Flagship Program (IFP) by making ecosystem and biodiversity criteria a requirement for siting decisions and project selection.","ai_generated":true,"unit":"wwf-001045#insight-6","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","climate resilience","deforestation","coastal management","biodiversity conservation","climate change adaptation"],"geography_discussed":["Bukidnon","Caraga","Q13714","Butuan","Upper Marikina River Basin Protected Landscape","Rizal"],"frame_perspective":[],"analysis_type":["modeling analysis","policy recommendation"]},{"id":"ucs-000459","url":"https://climateinsightsdirectory.org/document/ucs-000459","title":"Countdown to Shutdown","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2021-02","source_url":"https://www.ucs.org/sites/default/files/2021-02/countdown-to-shutdown-appendix.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document details the use of the RESOLVE model and the Clean System Power Calculator to evaluate seven scenarios regarding the retirement of the Diablo Canyon nuclear power plant. It focuses on three global warming emissions targets (46 MMT, 38 MMT, and 30 MMT) by 2030 and compares the effects of a 2025 shutdown versus a 20-year extension to 2045. The analysis specifically aims to estimate the resources needed to replace nuclear capacity without increasing emissions and to calculate the resulting differences in nitrogen oxides (NOx) emissions.","ai_generated":true,"unit":"ucs-000459#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Union of Concerned Scientists (UCS) utilized the RESOLVE model, a grid capacity expansion tool, to identify the lowest-cost mix of new resources needed to satisfy reliability, emissions reduction, and renewable energy goals.","ai_generated":true,"unit":"ucs-000459#insight-1","date_modified":"2026-10-23"},{"text":"The analysis examined seven scenarios based on three 2030 global warming emissions targets—46 MMT, 38 MMT, and 30 MMT—and two assumptions regarding the retirement date of the Diablo Canyon nuclear power plant (either by 2025 or extended to 2045).","ai_generated":true,"unit":"ucs-000459#insight-2","date_modified":"2026-10-23"},{"text":"A custom emissions trajectory (Scenario 7) was developed to determine the specific resources required to replace Diablo Canyon without increasing global warming emissions, targeting a level of 43 MMT by 2030 to match the results of Scenario 2.","ai_generated":true,"unit":"ucs-000459#insight-3","date_modified":"2026-10-23"},{"text":"The Clean System Power Calculator was used to estimate criteria air pollution emissions, specifically nitrogen oxides (NOx), for the 46 MMT and 38 MMT pathways, though these results are characterized as estimates because the tool was originally designed for individual load-serving entities rather than overall resource portfolios.","ai_generated":true,"unit":"ucs-000459#insight-4","date_modified":"2026-10-23"}],"climate_tags":["nuclear power","greenhouse gas emissions","renewable energy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical appendix","modeling analysis"]}]}