Colombia vs Sudan

Colombia vs Sudan: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 37.5 nights, or 1.15 times that in Sudan.

nights a year · CMIP6

Colombia vs Sudan: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 37.5 nights, or 1.15 times that in Sudan.
ColombiaSudanCMIP6 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaSudan
2014279.9242.4
2013279.8240
2012280.7242
2011280242.2
2010279.1240.6
2009279.3236.5
2008278.4237.1
2007277.3236
2006277.5235.3
2005277.7233.1
2004278.2233.5
2003277.5235.6
2002277.3234.7
2001278235.4
2000276.2230.5
1999274.6232.1
1998275.2230.2
1997274.4231.1
1996271.2227.3
1995271.3227.8
1994270.4225.3
1993268219.1
1992264.7217.8
1991273.9227.3
1990275.6227.5
1989271.9223
1988270.3223.1
1987271.8224.4
1986271.4226.4
1985268.4222.1
1984268.2220.7
1983265.1217
1982269.2216.3
1981272.1223.2
1980270.2220
1979269.3218.4
1978268.3218.5
1977269.6219.3
1976266.1220.1
1975261.6215.7
1974266.6217.5
1973269.9220
1972266.6217.9
1971265.7215.5
1970265.4217
1969266213.1
1968264.6214
1967261.7210.3
1966263.7213.3
1965263.2213.4
1964260.3213.2
1963254.8210.1
1962266.7217
1961267216.9
1960268.6221.3
1959265.5217.8
1958268216.2
1957267.4218.9
1956263.3217.2
1955267.7216.6
1954267.2218.9
1953267.9215.1
1952268.1216.4
1951267.2218.5
1950266.5214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaSudan
2015280.4265.9–286.4242.3225.3–258.3
2016279.9267.9–285.6241.4223.3–254.1
2017281.7270.6–286.3243.2223–259.1
2018281.5271.8–286.3242.3226.4–258.5
2019281.1269.5–286.9243.1221.7–260.4
2020282.1270.6–287.9244.9225.9–261.7
2021283.2273.9–287.8245.6229.1–261.5
2022283.7273.6–288.5249230.9–262.3
2023282.6274.2–288.8247.1226.8–263.1
2024284.7274.7–289.8251.5232.8–266.1
2025283.5273.3–289.7250.7232.4–265.6
2026283.4272.7–289.7250230.8–266.6
2027283.9273.4–289.2248.8228.4–265.6
2028285275.1–290.7249232.2–263.1
2029285.8276–290.3251.4232.1–266
2030284.2273.4–289.8252235.4–266.7
2031285.8274.8–291.2253.3234.4–268.9
2032286.7278.3–292.6250.4232.3–266.6
2033285.7274.7–290.3254.4235.3–269.4
2034285275.8–292.8254.2234.5–269.9
2035285.9277.3–292258.3240.2–273.6
2036286276.9–291.6252.8235.6–268.6
2037287.5279.3–291.9256.7238.6–271.8
2038288279.7–292.4258.7244.8–272.1
2039287.6278.8–292.7259.5241.2–272.5
2040287.6279.3–294.5256.4236.7–272.3
2041288.2279.9–292.7259.1241.2–274.5
2042288.2278.3–295258.7242–274.7
2043287.7277.7–293.4258.1240.3–272.6
2044287.8278.5–295.1257.3238.6–274.7
2045288.8280.5–293.9258.8243.1–276.2
2046290.4281–295.5261.1241.7–277.6
2047289.9280.6–294.6261.4244.6–278.4
2048290.7281.4–296.8260.4243.4–279.5
2049290.9282–295.3261.9242.6–275.9
2050290.1280.8–296263.5245.4–279
2051290.6280.9–295.7263.6246.6–278.8
2052290.9281.9–296.7263.8248.7–278.3
2053290.5280.8–296.3262.8242.4–279.2
2054290.8281.3–297.2266.3246.6–282.9
2055291.1282.6–298265.6245.9–281.4
2056291.5281.5–298.6264.1242.6–281.5
2057291.5281.2–297.3266.4247.6–283.4
2058291.8281.7–298.9265.2247.4–280.3
2059292.8282–299.2268.4249.6–285.4
2060293.2283–300.1263.6246.7–284.4
2061292.2281.9–298.7266.9250.1–281.9
2062292.6282.4–299.7266.4248.5–285
2063293.6282.3–298.6267.1246.9–283.4
2064292.7282.9–299.1269250.7–284.7
2065293.8283.6–299.4269.8253.9–285.6
2066293.1283.4–299.8271.4251.9–287.3
2067292.9281.8–299.6270.9250–288.4
2068294.2282.5–300.6271.9251.7–289.8
2069292.9282.4–300268251.1–286.2
2070292.9282.8–300.8269252.3–285.8
2071294.2282.8–301.5275.5254.1–290.4
2072294.9285.1–301.9273.3254.2–289.4
2073294.9285.5–302.2271.9250.7–287.6
2074293.9283.3–300.3270.9249–290.1
2075294.1283.2–300.6273.1254–291.9
2076294.9284.6–302272.7255.2–290.9
2077295.3284.3–301.9274.6255.2–292.7
2078294.4285–302274.3255.6–291.2
2079294.8283.7–301.8272255.2–288.5
2080295.1283.4–302.8276.6256–292.2
2081295.1284.8–302.6275.1254.1–294.8
2082295.1284.9–301.3272.9258.7–288.6
2083295.4284.5–304.6276.5258–291.7
2084296285.1–304.4275.4253–294.9
2085296.6285–305275.3258.6–291.6
2086295.6284.8–303.6276.4256.9–296.6
2087295.3284.1–303.4273.5253.1–293.3
2088295.9284.5–305.5273.6253.7–293.6
2089295.6285–304.5276.5256.6–293.4
2090295.7285.8–304.6276.6256.4–294.6
2091297285–304.9277.4256.4–296.6
2092296.8286–305.7274.6254.3–294.9
2093296.3285.6–305.3278261.9–292.1
2094296.4285.8–305280.3262.2–294
2095297.9285.6–304.9277.5262.6–294
2096296285.9–307.5279.7258.7–297
2097296.5284.8–303.4276.3254.1–297.6
2098296.6286–307.3277.7258.2–295.5
2099297284.6–305.4276.8257.2–296.2
2100297.4286.5–305.2278.6259–294.3

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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