Indonesia vs Sudan

Indonesia vs Sudan: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 64.1 nights, or 1.26 times that in Sudan.

nights a year · CMIP6

Indonesia vs Sudan: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 64.1 nights, or 1.26 times that in Sudan.
IndonesiaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaSudan
2014306.5242.4
2013306.4240
2012306.3242
2011304.6242.2
2010305.6240.6
2009303.9236.5
2008303.4237.1
2007302.8236
2006302.8235.3
2005303.1233.1
2004303.8233.5
2003301.9235.6
2002301.5234.7
2001302.5235.4
2000300.9230.5
1999300.4232.1
1998299.1230.2
1997297.9231.1
1996296.9227.3
1995296.7227.8
1994294.6225.3
1993291.6219.1
1992288.5217.8
1991297.5227.3
1990298.6227.5
1989296223
1988296.5223.1
1987295.6224.4
1986295.8226.4
1985292.8222.1
1984293.4220.7
1983290.1217
1982294.4216.3
1981294.8223.2
1980294.5220
1979294.1218.4
1978292.4218.5
1977293.4219.3
1976290.8220.1
1975290.7215.7
1974291.5217.5
1973293220
1972290.7217.9
1971291.2215.5
1970288.9217
1969290.4213.1
1968289.1214
1967288.4210.3
1966290.5213.3
1965288.1213.4
1964286.2213.2
1963286.4210.1
1962291.2217
1961292.9216.9
1960292.8221.3
1959291.9217.8
1958293.3216.2
1957290.8218.9
1956291.5217.2
1955292.4216.6
1954290218.9
1953291.4215.1
1952291.7216.4
1951291.7218.5
1950291.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaSudan
2015308295.7–315.1242.3225.3–258.3
2016307.5296.9–315.6241.4223.3–254.1
2017308.4295.5–315.6243.2223–259.1
2018308.9296.4–316.6242.3226.4–258.5
2019309.9297.8–316.7243.1221.7–260.4
2020310.9299–318.6244.9225.9–261.7
2021310.4298.7–316.4245.6229.1–261.5
2022311.4300–319.6249230.9–262.3
2023311.4300.1–320.6247.1226.8–263.1
2024313.2302–321.2251.5232.8–266.1
2025312300.2–321.9250.7232.4–265.6
2026312.6299.9–322.8250230.8–266.6
2027312.7301–321.6248.8228.4–265.6
2028313.8302.4–321.9249232.2–263.1
2029315.5303.9–324.1251.4232.1–266
2030314.2303.1–322.6252235.4–266.7
2031314.4301.6–321.9253.3234.4–268.9
2032316.9304.8–325.8250.4232.3–266.6
2033316.6305.4–323.3254.4235.3–269.4
2034315.4303.9–323.9254.2234.5–269.9
2035316.3305.6–327.9258.3240.2–273.6
2036317.7305.2–326.2252.8235.6–268.6
2037318.1306.6–325.2256.7238.6–271.8
2038319.3307.6–326.7258.7244.8–272.1
2039319.4307.7–326.7259.5241.2–272.5
2040318.5306.5–329256.4236.7–272.3
2041320.2308.3–328259.1241.2–274.5
2042320308.7–329.2258.7242–274.7
2043318.6306.6–327.8258.1240.3–272.6
2044321309–329.6257.3238.6–274.7
2045320.8308.6–329.8258.8243.1–276.2
2046322.8308.8–331261.1241.7–277.6
2047323.2308.8–333261.4244.6–278.4
2048322.3310.5–332.3260.4243.4–279.5
2049323.8311.6–334.1261.9242.6–275.9
2050323.3310.3–333.5263.5245.4–279
2051323.6311.2–334.4263.6246.6–278.8
2052325.1311.7–334.7263.8248.7–278.3
2053323.9310.9–333.8262.8242.4–279.2
2054324.4311.9–335.4266.3246.6–282.9
2055325.3312.6–335265.6245.9–281.4
2056325.9312.4–337.2264.1242.6–281.5
2057326.9311.9–335.2266.4247.6–283.4
2058326.4313–336.3265.2247.4–280.3
2059326.4313.9–337.8268.4249.6–285.4
2060329.5314.9–338.2263.6246.7–284.4
2061327.9313.6–336.9266.9250.1–281.9
2062327.6312.4–339.1266.4248.5–285
2063327.6313.9–339.4267.1246.9–283.4
2064328.8314.4–338.6269250.7–284.7
2065327.6314.3–337.9269.8253.9–285.6
2066328.6314.7–338.5271.4251.9–287.3
2067328.8314.3–338270.9250–288.4
2068329.8314.4–339.9271.9251.7–289.8
2069329.5315.5–339.3268251.1–286.2
2070328.6315.1–338.8269252.3–285.8
2071331.4315.5–340.4275.5254.1–290.4
2072330.3315.9–339.4273.3254.2–289.4
2073331.4317.7–341271.9250.7–287.6
2074329.9316.8–341.1270.9249–290.1
2075330.5315.2–340.2273.1254–291.9
2076331.5316.2–341.2272.7255.2–290.9
2077332315.9–341.8274.6255.2–292.7
2078331.4318.2–340.9274.3255.6–291.2
2079331.5316.6–341.5272255.2–288.5
2080332.4317.4–343.2276.6256–292.2
2081332.3318.4–341.8275.1254.1–294.8
2082332.8317.8–340.4272.9258.7–288.6
2083333.1318.7–342.6276.5258–291.7
2084333317.8–342.7275.4253–294.9
2085332.6318.1–342.7275.3258.6–291.6
2086333.1318.9–342.3276.4256.9–296.6
2087332.6318–343.2273.5253.1–293.3
2088334.5319.5–343.1273.6253.7–293.6
2089333.6319–342.6276.5256.6–293.4
2090333.3319.6–343.3276.6256.4–294.6
2091334.5318.2–343.9277.4256.4–296.6
2092335.1319.7–343.6274.6254.3–294.9
2093333.9320–344.9278261.9–292.1
2094335.6320.4–342.8280.3262.2–294
2095335.4319.7–343277.5262.6–294
2096334.3319.4–346.1279.7258.7–297
2097334.2319.5–343.3276.3254.1–297.6
2098334.9319.4–343.4277.7258.2–295.5
2099334.4319.4–344.6276.8257.2–296.2
2100334.7318.7–343.3278.6259–294.3

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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