{"query_echo":{"q":"","filters":{"analysis_type":["institutional capacity analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'institutional capacity 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=institutional+capacity+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":"iai-000077","url":"https://climateinsightsdirectory.org/document/iai-000077","title":"Bajando la montaña: entendiendo la vulnerabilidad de las comunidades andinas a la variabilidad hidroclimatológica y el cambio ambiental global","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"executive summary","language":"en","date_published":"2024-09-16","source_url":"https://iai.int/en/bajando-la-montana-entendiendo-la-vulnerabilidad-de-las-comunidades-andinas-a-la-variabilidad-hidroclimatologica-y-el-cambio-ambiental-global-sgp-hd-004/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses climate vulnerability and institutional adaptive capacity in the Mendoza, Choquecota, and Elqui river basins. It finds that current adaptive capacities of producers and governments are insufficient to meet future climate challenges, citing poor institutional coordination and lack of integrated water management. While commercial farmers in Argentina and Chile have some protection due to capital and institutional frameworks, poor populations and traditional farmers in Bolivia remain highly vulnerable, relying on local resources and traditional knowledge. The study highlights a critical lack of early warning systems across all basins and suggests that policies targeting resource concentration and risk prevention could reduce vulnerability.","ai_generated":true,"unit":"iai-000077#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The adaptive capacity of agricultural producers and local/regional governments in the Mendoza, Choquecota, and Elqui basins is insufficient to address future climate change and extreme events, primarily due to poor institutional coordination, limited water data, and a lack of integrated water resources management.","ai_generated":true,"unit":"iai-000077#insight-1","date_modified":"2026-10-23"},{"text":"Stronger institutional frameworks and higher development levels in Argentina and Chile do not necessarily improve adaptive capacity for the most vulnerable populations, although they do provide some protection for well-capitalized commercial farmers. In contrast, the population in Bolivia's Choquecota basin is highly vulnerable and relies on traditional knowledge and local resources.","ai_generated":true,"unit":"iai-000077#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural producers in all three basins are sensitive to climate variability and limited water availability, with higher vulnerability for those facing existing economic and social stressors.","ai_generated":true,"unit":"iai-000077#insight-3","date_modified":"2026-10-23"},{"text":"A lack of early warning systems and institutional support for emergency response across all basins significantly impairs the ability of communities to handle hazardous climatic events.","ai_generated":true,"unit":"iai-000077#insight-4","date_modified":"2026-10-23"},{"text":"Vulnerability can be reduced through policies that improve planning, risk prevention, and the reduction of resource concentration; additionally, warmer climates may offer opportunities to introduce new crops or achieve higher prices through earlier harvests.","ai_generated":true,"unit":"iai-000077#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","water management","climate variability","early warning system","Integrated Water Resources Management"],"geography_discussed":["Mendoza River","Choquecota basin","Elqui Valley"],"frame_perspective":[],"analysis_type":["vulnerability assessment","institutional capacity analysis"]},{"id":"gclifun-006150","url":"https://climateinsightsdirectory.org/document/gclifun-006150","title":"Enhancing Climate Information Systems for Resilient Development in Liberia (Liberia CIS)","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2020-11-13","source_url":"https://www.greenclimate.fund/sites/default/files/document/sap018-afdb-liberia.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project seeks USD 10 million in GCF grants to modernize Liberia's meteorological and hydrological services. It focuses on installing automated weather stations, weather radar, and creating a Forecast-based Financing (FbF) mechanism to protect vulnerable populations, particularly in agriculture and coastal regions, from increasing floods and temperature extremes.","ai_generated":true,"unit":"gclifun-006150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Liberia faces significant climate risks, with models projecting a temperature rise of 1.5 to 4.5 °C by 2100 and increasing trends in rainfall that heighten the likelihood of frequent flood events in low-lying coastal areas.","ai_generated":true,"unit":"gclifun-006150#insight-1","date_modified":"2026-10-23"},{"text":"The country's current climate information capacity is estimated at 46.3%, which remains substantially lower than the pre-civil war period (a difference of 53.7%).","ai_generated":true,"unit":"gclifun-006150#insight-2","date_modified":"2026-10-23"},{"text":"Climate hazards caused an estimated annual loss of US$ 7.44 million in 2017, and cumulative potential losses are projected to increase from US$ 55 million in 2021 to US$ 136 million by 2030.","ai_generated":true,"unit":"gclifun-006150#insight-3","date_modified":"2026-10-23"},{"text":"The project will implement a Forecast-based Financing (FbF) mechanism to enable early actions at community and government levels, funded and implemented before a climate shock occurs to minimize loss and damage.","ai_generated":true,"unit":"gclifun-006150#insight-4","date_modified":"2026-10-23"},{"text":"Technical infrastructure upgrades include the procurement of 40 Automatic Weather Stations (20 agro-meteorological and 20 hydro-meteorological), 20 manual weather stations, and the installation of a weather radar at Roberts International Airport.","ai_generated":true,"unit":"gclifun-006150#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to benefit approximately 2,312,400 direct beneficiaries and 5,395,600 indirect beneficiaries by 2040, with a specific focus on women who make up a large portion of the agricultural workforce.","ai_generated":true,"unit":"gclifun-006150#insight-6","date_modified":"2026-10-23"},{"text":"To ensure long-term sustainability, the project will establish the Liberian Climate Change Trust Fund (LCCTF), which will be capitalized by GCF and replenished through cost recovery from corporate clients in the aviation, marine, and commercial farming sectors.","ai_generated":true,"unit":"gclifun-006150#insight-7","date_modified":"2026-10-23"},{"text":"The project will support the legislative transition of the Liberia Meteorological Service (LMS) and Liberia Hydrological Service (LHS) into a single semi-autonomous government agency called the Liberia Meteorological and Hydrological Service (LMHS).","ai_generated":true,"unit":"gclifun-006150#insight-8","date_modified":"2026-10-23"}],"climate_tags":["early warning system","climate change adaptation","disaster risk reduction","climate finance","food security","coastal erosion","flood"],"geography_discussed":["Sierra Leone","Guinea","Ivory Coast","Monrovia","Nimba"],"frame_perspective":[],"analysis_type":["funding proposal","climate risk assessment","institutional capacity analysis"]}]}