{"query_echo":{"q":"","filters":{"analysis_type":["data specification"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data specification' 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=data+specification","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":"wri-001680","url":"https://climateinsightsdirectory.org/document/wri-001680","title":"AQUEDUCT METADATA DOCUMENT AQUEDUCT GLOBAL MAPS 2.1","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":"2015-04","source_url":"https://wriorg.s3.amazonaws.com/s3fs-public/Aqueduct_Global_Maps_2.1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document details the methodology for the Aqueduct Water Risk Atlas Global Maps 2.1, which updates the 2013 version by incorporating GLDAS-2 NOAH v. 3.3 runoff data. It outlines 12 indicators categorized into physical risk (quantity and quality) and regulatory and reputational risk. The framework utilizes a combination of public domain data, literature reviews, and original datasets to estimate water availability and use at the hydrological catchment scale. Key metrics include baseline water stress, inter-annual and seasonal variability, flood and drought severity, and groundwater stress, alongside socio-economic indicators like media coverage and access to water.","ai_generated":true,"unit":"wri-001680#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Aqueduct Water Risk Atlas employs a framework consisting of 12 global indicators divided into three risk categories: physical risk (further split into quantity and quality), and regulatory and reputational risk.","ai_generated":true,"unit":"wri-001680#insight-1","date_modified":"2026-10-23"},{"text":"The Global Maps 2.1 dataset updates the 2013 version (2.0) by replacing the GLDAS-2 NOAH v. 2.7.1 runoff data with GLDAS-2 NOAH v. 3.3 data.","ai_generated":true,"unit":"wri-001680#insight-2","date_modified":"2026-10-23"},{"text":"Baseline water stress is calculated as the ratio of total annual water withdrawals (agricultural, industrial, and municipal) to the mean available blue water from 1950 to 2010.","ai_generated":true,"unit":"wri-001680#insight-3","date_modified":"2026-10-23"},{"text":"Water supply is modeled using a catchment-to-catchment flow-accumulation approach, where runoff is calculated as precipitation minus evapotranspiration and change in soil moisture storage.","ai_generated":true,"unit":"wri-001680#insight-4","date_modified":"2026-10-23"},{"text":"Groundwater stress is determined by the ratio of groundwater withdrawal to its recharge rate over an aquifer, with values exceeding one indicating unsustainable consumption.","ai_generated":true,"unit":"wri-001680#insight-5","date_modified":"2026-10-23"},{"text":"Regulatory and reputational risk is assessed through three indicators: media coverage of water scarcity and pollution (2002–2011), the percentage of the population lacking access to improved drinking-water sources, and the percentage of IUCN-threatened freshwater amphibian species.","ai_generated":true,"unit":"wri-001680#insight-6","date_modified":"2026-10-23"}],"climate_tags":["water quality"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology","data specification"]}]}