{"query_echo":{"q":"","filters":{"analysis_type":["statistical validation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'statistical validation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=statistical+validation","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-000019","url":"https://climateinsightsdirectory.org/document/iai-000019","title":"Precipitation comparison for the CFSR, MERRA, TRMM3B42 and Combined Scheme datasets in Bolivia","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":"2025-01-15","source_url":"https://iai.int/es/pub_acad/precipitation-comparison-for-the-cfsr-merra-trmm3b42-and-combined-scheme-datasets-in-bolivia/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study evaluates four precipitation datasets in Bolivia, finding that the Combined Scheme (CoSch) provides the highest correlation and most accurate representation of surface observations. While CFSR and MERRA overestimated light to moderate rainfall and underestimated heavy precipitation, TRMM3B42 and CoSch showed more realistic distributions over the Amazon and Andes.","ai_generated":true,"unit":"iai-000019#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Combined Scheme (CoSch) demonstrated the best performance among the tested datasets, achieving the highest correlation coefficient across all seasons and basins, and showing bias and RMSE values that closely represent surface observations.","ai_generated":true,"unit":"iai-000019#insight-1","date_modified":"2026-10-23"},{"text":"CFSR and MERRA reanalysis datasets showed spatial inaccuracies, overestimating precipitation on the eastern-facing slopes of the Andes and exhibiting a dry bias over the eastern Amazon.","ai_generated":true,"unit":"iai-000019#insight-2","date_modified":"2026-10-23"},{"text":"In terms of precipitation intensity, MERRA and CFSR overestimated light to moderate rainfall (1-20 mm/day) and underestimated very heavy rainfall (> 50 mm/day), whereas TRMM3B42 and CoSch were more similar to surface observations, though CoSch underestimated very intense systems (> 50 mm/day).","ai_generated":true,"unit":"iai-000019#insight-3","date_modified":"2026-10-23"}],"climate_tags":["hydrology"],"geography_discussed":["Andes","Amazon rainforest","Altiplano","Chaco","La Plata"],"frame_perspective":[],"analysis_type":["comparative analysis","statistical validation"]}]}