{"entity":{"iso2":null,"iso3":null,"name":"Daugavpils","slug":"daugavpils"},"indicator":{"licence":"OECD Terms and Conditions (attribution required)","slug":"climate-projections-by-scenario-2030-2060-cities-and-fuas-projected-air-temperature","source":"Organisation for Economic Co-operation and Development","source_url":"https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_FUA_CLIM@DF_CLIM_PROJ","title":"Climate projections by scenario, 2030\u20132060 \u2013 Cities and FUAs \u2014 Projected air temperature","unit":"Degrees celsius"},"observations":[{"date":"2030-01-01","value":7.33494},{"date":"2031-01-01","value":6.81228},{"date":"2032-01-01","value":7.0499},{"date":"2033-01-01","value":7.41221},{"date":"2034-01-01","value":7.2816},{"date":"2035-01-01","value":7.32396},{"date":"2036-01-01","value":7.65757},{"date":"2037-01-01","value":7.48191},{"date":"2038-01-01","value":7.41368},{"date":"2039-01-01","value":7.66467},{"date":"2040-01-01","value":7.74607},{"date":"2041-01-01","value":7.60733},{"date":"2042-01-01","value":7.77939},{"date":"2043-01-01","value":7.71681},{"date":"2044-01-01","value":7.58776},{"date":"2045-01-01","value":7.3818},{"date":"2046-01-01","value":7.84135},{"date":"2047-01-01","value":7.73039},{"date":"2048-01-01","value":7.81961},{"date":"2049-01-01","value":7.86803},{"date":"2050-01-01","value":7.42803},{"date":"2051-01-01","value":8.36085},{"date":"2052-01-01","value":7.93052},{"date":"2053-01-01","value":7.63078},{"date":"2054-01-01","value":7.88351},{"date":"2055-01-01","value":8.02799},{"date":"2056-01-01","value":7.99588},{"date":"2057-01-01","value":7.93881},{"date":"2058-01-01","value":8.27472},{"date":"2059-01-01","value":8.30019},{"date":"2060-01-01","value":7.85695}],"summary":{"latest_period":"2060-01-01","latest_value":7.85695,"max":8.36085,"mean":7.68192,"min":6.81228,"of":1364,"rank":1330,"trend":"rising"}}