Colombia vs Türkiye

Colombia vs Türkiye: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 260.1 nights, or 14 times that in Türkiye.

nights a year · CMIP6

Colombia vs Türkiye: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 260.1 nights, or 14 times that in Türkiye.
ColombiaTürkiyeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaTürkiye
2014279.919.8
2013279.818.5
2012280.718.7
201128018.5
2010279.118.7
2009279.317.6
2008278.418.2
2007277.316.6
2006277.517.7
2005277.717.2
2004278.217.1
2003277.517.6
2002277.316.8
200127817.3
2000276.216.4
1999274.615.9
1998275.214.7
1997274.415
1996271.214.8
1995271.314.1
1994270.413.5
199326812.1
1992264.711.5
1991273.913.4
1990275.614.6
1989271.913.1
1988270.312.9
1987271.812.5
1986271.413.3
1985268.412.4
1984268.211.9
1983265.110.7
1982269.212.4
1981272.112.2
1980270.212.4
1979269.312
1978268.311.5
1977269.611.2
1976266.112
1975261.611.5
1974266.611.8
1973269.911.6
1972266.611.5
1971265.712.1
1970265.411.6
196926612
1968264.612
1967261.711.3
1966263.711.5
1965263.210.8
1964260.311.2
1963254.812
1962266.711.8
196126712
1960268.612.9
1959265.512.6
195826813
1957267.412.2
1956263.312.7
1955267.711.9
1954267.211.9
1953267.912.9
1952268.112.1
1951267.212.5
1950266.512.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaTürkiye
2015280.4265.9–286.422.216.2–29.8
2016279.9267.9–285.621.114.7–29.6
2017281.7270.6–286.321.914.3–29.4
2018281.5271.8–286.322.916–29.9
2019281.1269.5–286.921.916.4–29.5
2020282.1270.6–287.923.617–31.6
2021283.2273.9–287.82317.1–30.9
2022283.7273.6–288.523.617.3–31.6
2023282.6274.2–288.824.717.8–33.4
2024284.7274.7–289.825.418.6–34.1
2025283.5273.3–289.72518.1–33
2026283.4272.7–289.725.618.3–34.1
2027283.9273.4–289.224.816.9–34.8
2028285275.1–290.725.218.7–32
2029285.8276–290.326.219.8–34.4
2030284.2273.4–289.825.919.3–34.5
2031285.8274.8–291.226.419.7–35.1
2032286.7278.3–292.627.219.9–35.6
2033285.7274.7–290.328.721.4–36.9
2034285275.8–292.827.620.8–34.7
2035285.9277.3–29228.721.7–37
2036286276.9–291.628.720.9–38.1
2037287.5279.3–291.929.721.3–38.6
2038288279.7–292.429.922–41.6
2039287.6278.8–292.730.923.6–40.3
2040287.6279.3–294.530.923.2–40.9
2041288.2279.9–292.730.122.2–40.5
2042288.2278.3–29529.920.1–40.7
2043287.7277.7–293.43123.6–40.4
2044287.8278.5–295.130.823.1–43.5
2045288.8280.5–293.932.424–43.1
2046290.4281–295.532.923.5–42.8
2047289.9280.6–294.632.324.1–44.9
2048290.7281.4–296.834.123–45.9
2049290.9282–295.331.622.1–43.2
2050290.1280.8–29633.423.8–44.2
2051290.6280.9–295.734.125–43.1
2052290.9281.9–296.733.325.3–42.6
2053290.5280.8–296.335.326.6–44.2
2054290.8281.3–297.234.624–44.1
2055291.1282.6–29835.425.9–47.7
2056291.5281.5–298.634.424.1–45.6
2057291.5281.2–297.336.326–47.4
2058291.8281.7–298.936.425.8–51.8
2059292.8282–299.237.124.8–48.1
2060293.2283–300.135.826.7–48.3
2061292.2281.9–298.738.826.3–49.7
2062292.6282.4–299.737.725.3–49.5
2063293.6282.3–298.638.426.6–51.7
2064292.7282.9–299.138.928.4–49.9
2065293.8283.6–299.439.628.6–49.4
2066293.1283.4–299.836.325–49.1
2067292.9281.8–299.638.327.7–50.7
2068294.2282.5–300.639.928–50.7
2069292.9282.4–30039.729.2–52.2
2070292.9282.8–300.839.527.6–51.7
2071294.2282.8–301.539.829.1–51.7
2072294.9285.1–301.941.928.9–54.2
2073294.9285.5–302.240.927.2–54.6
2074293.9283.3–300.339.428–51.9
2075294.1283.2–300.639.828.4–53.9
2076294.9284.6–30241.529.1–53.7
2077295.3284.3–301.941.329–53.3
2078294.4285–30242.231.3–52.9
2079294.8283.7–301.84430.8–56.6
2080295.1283.4–302.843.432.5–54.9
2081295.1284.8–302.642.131.7–54.6
2082295.1284.9–301.343.630.9–56
2083295.4284.5–304.64629.6–57.6
2084296285.1–304.445.131–56.8
2085296.6285–30543.330.3–54.5
2086295.6284.8–303.643.830.2–56.4
2087295.3284.1–303.444.229.2–59
2088295.9284.5–305.544.932.7–58.1
2089295.6285–304.544.630.7–59.3
2090295.7285.8–304.646.132.8–59.2
2091297285–304.945.332.2–61.2
2092296.8286–305.745.631.1–59.2
2093296.3285.6–305.347.631.5–61.8
2094296.4285.8–30547.533.7–61.2
2095297.9285.6–304.946.232.3–60.2
2096296285.9–307.545.731.1–60.7
2097296.5284.8–303.448.432.1–61
2098296.6286–307.346.431.2–59.5
2099297284.6–305.445.430.8–58
2100297.4286.5–305.245.530.4–60.1

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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