Colombia vs Iran

Colombia vs Iran: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 189.1 nights, or 3.08 times that in Iran.

nights a year · CMIP6

Colombia vs Iran: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 189.1 nights, or 3.08 times that in Iran.
ColombiaIranCMIP6 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 Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaIran
2014279.990.8
2013279.890.6
2012280.790.3
201128089.8
2010279.187
2009279.387.2
2008278.488
2007277.387.9
2006277.588.2
2005277.787.1
2004278.286.4
2003277.585.9
2002277.387.7
200127886.6
2000276.286.5
1999274.685.1
1998275.283.8
1997274.484.3
1996271.282.4
1995271.381.6
1994270.480.6
199326877.7
1992264.777
1991273.981.9
1990275.683.1
1989271.981.7
1988270.380.4
1987271.879.8
1986271.480.1
1985268.479.7
1984268.278.8
1983265.175.5
1982269.277.9
1981272.180.2
1980270.279.4
1979269.380.2
1978268.378.1
1977269.677.8
1976266.177.2
1975261.676.6
1974266.676.4
1973269.976.9
1972266.677.4
1971265.775
1970265.475.3
196926675.6
1968264.676.3
1967261.776.1
1966263.775.5
1965263.275.3
1964260.375.3
1963254.876.4
1962266.777.5
196126777.7
1960268.677.6
1959265.576.8
195826878.4
1957267.478.2
1956263.376.2
1955267.776.5
1954267.277.6
1953267.977.3
1952268.178.2
1951267.276.6
1950266.577.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaIran
2015280.4265.9–286.494.482.7–106
2016279.9267.9–285.694.183.1–105.3
2017281.7270.6–286.393.981.7–104
2018281.5271.8–286.394.183–106.3
2019281.1269.5–286.995.183.4–105.8
2020282.1270.6–287.995.985.5–107.5
2021283.2273.9–287.897.286–107.7
2022283.7273.6–288.596.285.2–108.3
2023282.6274.2–288.898.485.7–110.6
2024284.7274.7–289.89885.1–110.5
2025283.5273.3–289.798.787.2–110.5
2026283.4272.7–289.799.186.7–111.7
2027283.9273.4–289.2100.288.7–112.1
2028285275.1–290.799.686.2–111.6
2029285.8276–290.399.386.7–109.9
2030284.2273.4–289.8100.889.8–111.6
2031285.8274.8–291.2102.990.1–114.8
2032286.7278.3–292.6101.289–113.9
2033285.7274.7–290.3102.889.9–115.1
2034285275.8–292.8104.690.7–117.3
2035285.9277.3–29210592.1–116.2
2036286276.9–291.6103.591.4–115.2
2037287.5279.3–291.910693.1–119.4
2038288279.7–292.4105.993.2–116.5
2039287.6278.8–292.7104.392.9–116.6
2040287.6279.3–294.5105.592.3–118.4
2041288.2279.9–292.7104.892.5–116.4
2042288.2278.3–295107.793.4–120.7
2043287.7277.7–293.410692.9–118.8
2044287.8278.5–295.1106.893.6–121.2
2045288.8280.5–293.9108.795.1–121.8
2046290.4281–295.5109.296.1–121.9
2047289.9280.6–294.6110.596.9–123.3
2048290.7281.4–296.8111.498.6–124
2049290.9282–295.311095.7–123.4
2050290.1280.8–296112.199.6–125.1
2051290.6280.9–295.7111.797.6–124.1
2052290.9281.9–296.711298.3–126
2053290.5280.8–296.3111.597.5–124
2054290.8281.3–297.2111.899–126.3
2055291.1282.6–298114.6101.4–128
2056291.5281.5–298.6113.1100.2–126.2
2057291.5281.2–297.3113.899.9–128.9
2058291.8281.7–298.9114.2100–127.7
2059292.8282–299.2113.498.9–126.3
2060293.2283–300.1116.3100.3–129.5
2061292.2281.9–298.7115100.5–127.6
2062292.6282.4–299.7115.799.7–131.1
2063293.6282.3–298.6117103.7–130.3
2064292.7282.9–299.1115.1101.7–130.3
2065293.8283.6–299.4117.3102.8–132.3
2066293.1283.4–299.8117.7103.7–132.1
2067292.9281.8–299.6119103–133.5
2068294.2282.5–300.6118.1104.3–131.4
2069292.9282.4–300118.4103.8–133.2
2070292.9282.8–300.8118.2104.9–132.9
2071294.2282.8–301.5119.3105.1–135.3
2072294.9285.1–301.9119103.2–135.1
2073294.9285.5–302.2120.6104.9–137.7
2074293.9283.3–300.3119.1104.4–134.5
2075294.1283.2–300.6119.7105.9–135.5
2076294.9284.6–302118.9102.6–137
2077295.3284.3–301.9120.3104.3–135.3
2078294.4285–302119.2105.3–136
2079294.8283.7–301.8120.1103.2–135.6
2080295.1283.4–302.8120.4106.1–139.5
2081295.1284.8–302.6120.5104.3–137.1
2082295.1284.9–301.3122.5107.5–137.7
2083295.4284.5–304.6122.6105.8–140.4
2084296285.1–304.4123.7107.6–139.1
2085296.6285–305121.3106.6–140.6
2086295.6284.8–303.6122.1107.9–139.8
2087295.3284.1–303.4123.7108–140.7
2088295.9284.5–305.5124106.5–142.2
2089295.6285–304.5124.1109–139.7
2090295.7285.8–304.6122.5105.4–141.9
2091297285–304.9124.3108–140.5
2092296.8286–305.7125.5110.1–140
2093296.3285.6–305.3124.5109–139.3
2094296.4285.8–305125108.7–142.9
2095297.9285.6–304.9125.3108.5–141
2096296285.9–307.5125.8109–142.4
2097296.5284.8–303.4123.6106.9–141.8
2098296.6286–307.3125.8109.4–143.8
2099297284.6–305.4123.1107.8–140.1
2100297.4286.5–305.2124.4107.9–143.7

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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