{"query_echo":{"q":"","filters":{"geography":["Región Semiárida Pampeana"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Región Semiárida Pampeana' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Regi%C3%B3n+Semi%C3%A1rida+Pampeana","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-000032","url":"https://climateinsightsdirectory.org/document/iai-000032","title":"Aplicación de Sistemas de Información Geográfica al análisis de eventos climáticos extremos en la Región Semiárida Pampeana (Provincia de Buenos Aires, Argentina)","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"es","date_published":"2025-01-16","source_url":"https://iai.int/es/pub_acad/aplicacion-de-sistemas-de-informacion-geografica-al-analisis-de-eventos-climaticos-extremos-en-la-region-semiarida-pampeana-provincia-de-buenos-aires-argentina/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study utilized the Standardized Precipitation Evapotranspiration Index (SPEI) from 98 stations and GIS interpolation to identify extreme climate events in the Semi-Arid Pampean Region from 2000 to 2012. It identified 2001 as a wet year and 2009 as a dry year, concluding that the Spline interpolation method is optimal for characterizing these events in the region.","ai_generated":true,"unit":"iai-000032#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme climate events in the Semi-Arid Pampean Region between 2000 and 2012 were identified as a wet period in 2001 and a dry period in 2009.","ai_generated":true,"unit":"iai-000032#insight-1","date_modified":"2026-10-23"},{"text":"During the 2001 wet event, the northern part of the region showed SPEI values between 1.5 and 1.99, while the rest of the region had values below 1.5. During the 2009 dry event, SPEI values ranged from -1.0 to -1.49 in the North and were lower than -1.5 in the South.","ai_generated":true,"unit":"iai-000032#insight-2","date_modified":"2026-10-23"},{"text":"The use of Geographic Information Systems (GIS) is an appropriate tool for characterizing extreme climate events in the study area, with the Spline interpolation method being determined as optimal based on the correlation between interpolated data and normal precipitation distribution.","ai_generated":true,"unit":"iai-000032#insight-3","date_modified":"2026-10-23"}],"climate_tags":["extreme weather event","drought","precipitation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","spatial analysis"]}]}