{"query_echo":{"q":"","filters":{"geography":["Argentine Pampas"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Argentine Pampas' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Argentine+Pampas","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-000062","url":"https://climateinsightsdirectory.org/document/iai-000062","title":"Practical points for the software development of an agent-based model of a coupled human-natural system","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-13","source_url":"https://iai.int/es/pub_acad/practical-points-for-the-software-development-of-an-agent-based-model-of-a-coupled-human-natural-system/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The paper provides practical software engineering guidance for developing agent-based models of coupled human-natural systems, using a model of agricultural production in the Argentine Pampas as a case study. It covers design elements such as model classes, activity diagrams, data flow, package layout, design patterns, performance optimization, and the processes for model measurement, validation, and verification.","ai_generated":true,"unit":"iai-000062#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors provide a software engineering perspective on the design and implementation of an agent-based model focused on agricultural production systems in the Argentine Pampas, specifically targeting researchers and domain experts who may lack extensive software engineering expertise.","ai_generated":true,"unit":"iai-000062#insight-1","date_modified":"2026-10-23"},{"text":"The document details several technical aspects of the model's development, including the use of design patterns, performance optimization, initialization methods, and the layout of packages and folders, as well as the analysis of results and the verification, validation, and measurement of the model.","ai_generated":true,"unit":"iai-000062#insight-2","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","technical guidance"]},{"id":"iai-000489","url":"https://climateinsightsdirectory.org/document/iai-000489","title":"From climate knowledge to action Towards usable climate science: Informing decisions and provision of climate services to the agriculture and water sectors of southeastern South America","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://iai.int/admin/site/sites/default/files/CRN3035_PB_EN-_0.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project 'Towards usable climate science' established an interdisciplinary network to provide climate services for sectors sensitive to climate, such as energy, water, agriculture, and health. It developed a consolidated database of meteorological records from 329 weather stations across southern South America, covering the period from 1961 to the present. Key outputs include a regional drought monitoring system with a focus on soil moisture and yield prediction software for soybean, maize, and wheat. In the Argentine Pampas region, the project achieved accurate yield predictions for 14 localities by linking the database with simulation models, providing data useful for estimating insurance indices.","ai_generated":true,"unit":"iai-000489#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project created a consolidated, quality-controlled meteorological database for climate-sensitive sectors including energy, water, agriculture, livestock, and health in southern South America.","ai_generated":true,"unit":"iai-000489#insight-1","date_modified":"2026-10-23"},{"text":"The research compiled meteorological records from 1961 to the present using data from 329 weather stations located in central-eastern Argentina, east of Paraguay, south of Brazil, Chile, Bolivia, and Uruguay.","ai_generated":true,"unit":"iai-000489#insight-2","date_modified":"2026-10-23"},{"text":"The project implemented a regional drought monitoring system emphasizing soil moisture and developed yield prediction software for wheat, maize, and soybean crops from sowing to harvest.","ai_generated":true,"unit":"iai-000489#insight-3","date_modified":"2026-10-23"},{"text":"By integrating the database with yield simulation models, the project produced accurate yield predictions for 14 localities in the Argentine Pampas, which can be used to estimate insurance indices.","ai_generated":true,"unit":"iai-000489#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Climate information service","agriculture","climate variability","extreme weather event"],"geography_discussed":["Argentina","Brazil","Paraguay","Uruguay","Bolivia","Chile","United States","Argentine Pampas"],"frame_perspective":[],"analysis_type":["case study"]}]}