Brazil vs Sudan

Brazil vs Sudan: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 39.6 nights, or 1.16 times that in Sudan.

nights a year · CMIP6

Brazil vs Sudan: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 39.6 nights, or 1.16 times that in Sudan.
BrazilSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 317.3 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilSudan
2014282242.4
2013282.5240
2012283.6242
2011281.8242.2
2010280.2240.6
2009279.2236.5
2008277.8237.1
2007275.9236
2006275.4235.3
2005275.8233.1
2004278.5233.5
2003276.7235.6
2002276.2234.7
2001277.7235.4
2000273.3230.5
1999271232.1
1998273.6230.2
1997270.9231.1
1996264.7227.3
1995263.8227.8
1994263.6225.3
1993258.3219.1
1992252.8217.8
1991269.7227.3
1990272.5227.5
1989267.1223
1988264.7223.1
1987265.9224.4
1986265.7226.4
1985260.6222.1
1984261.1220.7
1983255.9217
1982264.8216.3
1981265.3223.2
1980262220
1979261.2218.4
1978259.7218.5
1977261.8219.3
1976258.4220.1
1975252.4215.7
1974258.7217.5
1973261220
1972258.1217.9
1971256.5215.5
1970254.5217
1969255.1213.1
1968254.9214
1967250.3210.3
1966254.5213.3
1965250.8213.4
1964246.2213.2
1963241.9210.1
1962257.9217
1961258.2216.9
1960260.3221.3
1959255.7217.8
1958258.1216.2
1957256.6218.9
1956251.2217.2
1955257.2216.6
1954258218.9
1953255.2215.1
1952255.8216.4
1951256.3218.5
1950254.4214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilSudan
2015284257.6–299.5242.3225.3–258.3
2016281.5261.4–296.3241.4223.3–254.1
2017284.1263.2–297.8243.2223–259.1
2018283.4263.1–298.8242.3226.4–258.5
2019283.7262.9–302.4243.1221.7–260.4
2020286.3264.2–303.6244.9225.9–261.7
2021287.9266.9–302.3245.6229.1–261.5
2022289.6270.7–303.9249230.9–262.3
2023287.3270.5–303247.1226.8–263.1
2024291.5268.2–304.6251.5232.8–266.1
2025289.6269.1–304.8250.7232.4–265.6
2026289.7266.2–305.1250230.8–266.6
2027289.5269.1–303.7248.8228.4–265.6
2028291.2271.9–306249232.2–263.1
2029295.5276.3–309.6251.4232.1–266
2030292.2269.1–306.9252235.4–266.7
2031295.3274–308.9253.3234.4–268.9
2032296.8280.1–310.9250.4232.3–266.6
2033295.4273.3–308.5254.4235.3–269.4
2034294.3273.5–311.8254.2234.5–269.9
2035295.2274.4–310.9258.3240.2–273.6
2036295.1278.2–307.8252.8235.6–268.6
2037299.9283.7–311.3256.7238.6–271.8
2038299.6283.5–312.1258.7244.8–272.1
2039296.9279.9–311259.5241.2–272.5
2040298.5279.4–311.9256.4236.7–272.3
2041301.4282.2–314.1259.1241.2–274.5
2042300.6277.8–314.7258.7242–274.7
2043298.2279.8–312.7258.1240.3–272.6
2044300.3281.2–315.6257.3238.6–274.7
2045299.9279.7–313.1258.8243.1–276.2
2046302.8285.8–316.6261.1241.7–277.6
2047303.3285–316.4261.4244.6–278.4
2048304.4287.3–317.3260.4243.4–279.5
2049305.4288.4–318.5261.9242.6–275.9
2050303.9283.9–316.2263.5245.4–279
2051305.7287.5–317.5263.6246.6–278.8
2052305.9290.6–318.8263.8248.7–278.3
2053305.3285.9–317.5262.8242.4–279.2
2054306.1288.4–319.3266.3246.6–282.9
2055306.4290.8–319.8265.6245.9–281.4
2056306.7288.3–321.1264.1242.6–281.5
2057306.4287.6–321.1266.4247.6–283.4
2058309291–321.4265.2247.4–280.3
2059310.4290.7–322.8268.4249.6–285.4
2060311.6294.4–325.1263.6246.7–284.4
2061307.5290.3–321.2266.9250.1–281.9
2062309291.5–322.8266.4248.5–285
2063310.8290.6–322.8267.1246.9–283.4
2064309.6290.2–321.1269250.7–284.7
2065311.1291.6–323.1269.8253.9–285.6
2066312.2294.2–324.2271.4251.9–287.3
2067310.9291.5–323.3270.9250–288.4
2068311.5293–324.5271.9251.7–289.8
2069310.6292.2–323.6268251.1–286.2
2070312.7293–325.3269252.3–285.8
2071311.5292.1–323.9275.5254.1–290.4
2072313.3297.8–325.5273.3254.2–289.4
2073313.8298.6–327.2271.9250.7–287.6
2074311.4292.4–323.5270.9249–290.1
2075310.9291.5–324.5273.1254–291.9
2076314.2294.4–327.7272.7255.2–290.9
2077315.1295.6–326.8274.6255.2–292.7
2078314.9296.3–327.1274.3255.6–291.2
2079313292.8–326.8272255.2–288.5
2080311.9294.7–325.4276.6256–292.2
2081313.5295.5–325.6275.1254.1–294.8
2082315296.8–327.1272.9258.7–288.6
2083315.7295.3–328.7276.5258–291.7
2084316.6298.5–327.9275.4253–294.9
2085317.4299.3–329.8275.3258.6–291.6
2086315.8294–328276.4256.9–296.6
2087316.5297.9–328.5273.5253.1–293.3
2088315.6297.3–328.8273.6253.7–293.6
2089315296.6–327.9276.5256.6–293.4
2090316298.9–330.3276.6256.4–294.6
2091317298.1–330.6277.4256.4–296.6
2092317.6298.7–330.7274.6254.3–294.9
2093316.3297.5–328.6278261.9–292.1
2094316.4300.2–327.5280.3262.2–294
2095319299.8–330.7277.5262.6–294
2096317.7299.5–330.8279.7258.7–297
2097316.9297.8–329276.3254.1–297.6
2098318.6299.9–331.9277.7258.2–295.5
2099318.1300–330.2276.8257.2–296.2
2100317.3298.4–330.3278.6259–294.3

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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