{"query_echo":{"q":"","filters":{"analysis_type":["attributional"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'attributional' 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=attributional","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":"climcent-000136","url":"https://climateinsightsdirectory.org/document/climcent-000136","title":"Climate Central’s Monthly Briefing Highlights from June 2026","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"briefing","language":"en","date_published":"2026-06","source_url":"https://www.climatecentral.org/climate-briefings/june-2026","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"June 2026 was the second-warmest June on record globally, with the Arctic experiencing its warmest June ever. In the U.S., 66% of the contiguous region faced abnormally dry or drought conditions by July 7, 2026, and the West and Southwest regions saw their warmest January-June period on record. A very strong El Niño is forecast to develop between October and December 2026, with an 81% probability, likely pushing global temperatures to or above 1.5C by October. Climate Central's analysis indicates human-caused climate change is a key driver of summertime warming in 91% of analyzed U.S. cities.","ai_generated":true,"unit":"climcent-000136#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"June 2026 was the second-warmest June on record globally for combined land and ocean temperatures, with the Arctic recording its warmest June on record, surpassing the previous record from 2012.","ai_generated":true,"unit":"climcent-000136#insight-1","date_modified":"2026-10-23"},{"text":"Global climate indicators for June 2026 showed carbon dioxide levels at Mauna Loa, Hawaii, reached 431.4 ppm, while Arctic and Antarctic sea-ice extents were the third-lowest and sixth-lowest on record, respectively.","ai_generated":true,"unit":"climcent-000136#insight-2","date_modified":"2026-10-23"},{"text":"In the contiguous U.S., 66% of the area was experiencing abnormally dry or drought conditions as of July 7, 2026, with 45 states having areas of moderate or worse drought by late June.","ai_generated":true,"unit":"climcent-000136#insight-3","date_modified":"2026-10-23"},{"text":"The West and Southwest climate regions of the U.S. experienced their warmest January-June period on record in 2026, contributing to a year-to-date average temperature that is the second-warmest on record for the contiguous U.S.","ai_generated":true,"unit":"climcent-000136#insight-4","date_modified":"2026-10-23"},{"text":"Human-caused climate change is identified as a key driver of summertime warming trends in 91% of analyzed U.S. cities, with June warming observed in 189 of 192 cities since 1970.","ai_generated":true,"unit":"climcent-000136#insight-5","date_modified":"2026-10-23"},{"text":"Energy demand for cooling in the contiguous U.S. reached the fourth-highest average number of cooling degree days on record for the January-June period, with Arizona setting a new record of 1,396 degree-days Fahrenheit.","ai_generated":true,"unit":"climcent-000136#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide","drought","wildfire","marine heatwave","energy demand","extreme event attribution"],"geography_discussed":["Arctic","Europe","North America","Africa","Alaska","Texas","Illinois","Michigan","North Carolina","Central Asia","Siberia","South America","Oceania","Rhode Island","Florida","Arizona","New Mexico","Puerto Rico","Colorado","Utah","Wyoming"],"frame_perspective":[],"analysis_type":["observational","predictive","attributional"]}]}