Ghana vs Sudan

Ghana vs Sudan: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 114.4 nights, or 1.47 times that in Sudan.

nights a year · CMIP6

Ghana vs Sudan: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 114.4 nights, or 1.47 times that in Sudan.
GhanaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ghana at 364.2 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaSudan
2014356.8242.4
2013355.8240
2012356.8242
2011355.7242.2
2010355.9240.6
2009353.2236.5
2008353.1237.1
2007353.8236
2006353.9235.3
2005352.7233.1
2004352.4233.5
2003353.8235.6
2002353.2234.7
2001354.9235.4
2000352.2230.5
1999350.2232.1
1998350.6230.2
1997350.5231.1
1996349.1227.3
1995348.9227.8
1994347.9225.3
1993347.1219.1
1992344.5217.8
1991348.4227.3
1990352.1227.5
1989347.9223
1988347.2223.1
1987346.6224.4
1986348.4226.4
1985347.2222.1
1984346.2220.7
1983344.8217
1982344.8216.3
1981346.8223.2
1980344.5220
1979346.4218.4
1978343.9218.5
1977345.9219.3
1976344.5220.1
1975345.3215.7
1974343217.5
1973344220
1972344.4217.9
1971342.7215.5
1970344217
1969342.5213.1
1968342214
1967342.7210.3
1966342.1213.3
1965342213.4
1964340213.2
1963342.8210.1
1962345.9217
1961344.1216.9
1960345.7221.3
1959344.6217.8
1958344.6216.2
1957344.1218.9
1956343.5217.2
1955342.5216.6
1954346.8218.9
1953344.5215.1
1952341.9216.4
1951343.8218.5
1950340.3214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaSudan
2015356341.5–361.7242.3225.3–258.3
2016356.5341.4–361.5241.4223.3–254.1
2017355.2341.3–361.6243.2223–259.1
2018355.8345.7–362.1242.3226.4–258.5
2019353.9343.6–362.3243.1221.7–260.4
2020356341.7–362.9244.9225.9–261.7
2021356.9345.4–362.7245.6229.1–261.5
2022358.2342–362.6249230.9–262.3
2023356.7344–361.7247.1226.8–263.1
2024358.6347.7–363.4251.5232.8–266.1
2025357.1347.2–361.9250.7232.4–265.6
2026357.2343.5–362.7250230.8–266.6
2027357.5344.3–362.4248.8228.4–265.6
2028359.5348.6–363.6249232.2–263.1
2029358.8349–363.1251.4232.1–266
2030359.6350.6–363.2252235.4–266.7
2031360.8351–364253.3234.4–268.9
2032359.7346.4–363.9250.4232.3–266.6
2033360.2349–364.1254.4235.3–269.4
2034359.4350.8–363.1254.2234.5–269.9
2035360.5350.8–364258.3240.2–273.6
2036360.9350.6–364.9252.8235.6–268.6
2037361350.5–364256.7238.6–271.8
2038361.4354.4–363.9258.7244.8–272.1
2039361.3352.3–364.5259.5241.2–272.5
2040361.5352.2–365.2256.4236.7–272.3
2041361.3351.7–364.3259.1241.2–274.5
2042360.6352.3–364.3258.7242–274.7
2043360.6351.8–364258.1240.3–272.6
2044361.6353.6–364.8257.3238.6–274.7
2045361.1353.2–364.4258.8243.1–276.2
2046361.9353.1–364.1261.1241.7–277.6
2047362.3350.3–364.5261.4244.6–278.4
2048362.1354.7–365.3260.4243.4–279.5
2049362.6354–364.4261.9242.6–275.9
2050362.2355.3–364.4263.5245.4–279
2051362.3355.7–364.6263.6246.6–278.8
2052362.1354.2–365263.8248.7–278.3
2053362.4354.1–364.5262.8242.4–279.2
2054362.9354.8–364.6266.3246.6–282.9
2055362.5355.1–364.5265.6245.9–281.4
2056363.3355.6–365.7264.1242.6–281.5
2057363.2355.9–364.8266.4247.6–283.4
2058363356.3–364.9265.2247.4–280.3
2059362.9356.2–364.8268.4249.6–285.4
2060362.9354.1–365.7263.6246.7–284.4
2061363.2354–364.9266.9250.1–281.9
2062363.1355–364.9266.4248.5–285
2063363.2355.5–364.9267.1246.9–283.4
2064363.3356.6–365.6269250.7–284.7
2065363.7357.8–364.9269.8253.9–285.6
2066362.7356.9–364.8271.4251.9–287.3
2067363.6354.1–364.9270.9250–288.4
2068364.1356.3–365.8271.9251.7–289.8
2069362.8356.3–364.9268251.1–286.2
2070363.3356.2–364.9269252.3–285.8
2071363.5355.3–364.9275.5254.1–290.4
2072364.1355.6–365.8273.3254.2–289.4
2073363.6355.1–364.8271.9250.7–287.6
2074363.4355.4–364.8270.9249–290.1
2075363.4357–364.9273.1254–291.9
2076363.8358.4–365.8272.7255.2–290.9
2077363.8357.8–365274.6255.2–292.7
2078363.9356.6–364.9274.3255.6–291.2
2079364.2358–365272255.2–288.5
2080364.3357.8–366276.6256–292.2
2081363.8357.1–365275.1254.1–294.8
2082363.5357.1–364.9272.9258.7–288.6
2083364.1358.3–365276.5258–291.7
2084364358.5–365.9275.4253–294.9
2085364.1358.3–365275.3258.6–291.6
2086364.1357.8–365276.4256.9–296.6
2087364.1357.9–365273.5253.1–293.3
2088364.2356.4–365.9273.6253.7–293.6
2089363.9357.6–365276.5256.6–293.4
2090364.2357.6–365276.6256.4–294.6
2091363.9357.6–364.9277.4256.4–296.6
2092364.4356.6–366274.6254.3–294.9
2093364.4358.2–365278261.9–292.1
2094364.1357.9–365280.3262.2–294
2095364358.2–365277.5262.6–294
2096363.9358–366279.7258.7–297
2097363.9356.3–364.9276.3254.1–297.6
2098363.7357.8–364.9277.7258.2–295.5
2099363.9358.6–365276.8257.2–296.2
2100364.2357.6–365278.6259–294.3

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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