Ghana vs South Sudan

Ghana vs South Sudan: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 13.1 nights, or 1.04 times that in South Sudan.

nights a year · CMIP6

Ghana vs South Sudan: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 13.1 nights, or 1.04 times that in South Sudan.
GhanaSouth SudanCMIP6 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 South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaSouth Sudan
2014356.8343.7
2013355.8342.1
2012356.8342.8
2011355.7343.3
2010355.9341.9
2009353.2338.8
2008353.1339.8
2007353.8336.9
2006353.9339
2005352.7336.8
2004352.4336.6
2003353.8338.9
2002353.2336.6
2001354.9338.7
2000352.2334.6
1999350.2331.8
1998350.6333.6
1997350.5334.5
1996349.1330.7
1995348.9329.6
1994347.9328.2
1993347.1321.9
1992344.5321.5
1991348.4329.1
1990352.1332.6
1989347.9329
1988347.2330.5
1987346.6328.8
1986348.4330.4
1985347.2327.1
1984346.2324.1
1983344.8322.8
1982344.8322.8
1981346.8329.9
1980344.5326.5
1979346.4325.3
1978343.9324.1
1977345.9325
1976344.5322.6
1975345.3320.8
1974343320.1
1973344325.4
1972344.4324.7
1971342.7319.9
1970344322.3
1969342.5318.5
1968342318.3
1967342.7315.6
1966342.1317.2
1965342316.5
1964340312.9
1963342.8309.8
1962345.9323.9
1961344.1323.3
1960345.7324.8
1959344.6321.5
1958344.6320.2
1957344.1322.1
1956343.5319.5
1955342.5317
1954346.8322.4
1953344.5321.6
1952341.9322.4
1951343.8323.9
1950340.3318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaSouth Sudan
2015356341.5–361.7342.7327.5–353.3
2016356.5341.4–361.5342.1325.1–351.1
2017355.2341.3–361.6344.5326.9–353.7
2018355.8345.7–362.1344.1324.9–353.7
2019353.9343.6–362.3344.5324–354.2
2020356341.7–362.9344.9326.9–355.6
2021356.9345.4–362.7347.3329.2–355.3
2022358.2342–362.6344.5326.1–355.5
2023356.7344–361.7347.2329.2–357
2024358.6347.7–363.4350.4331.6–357.9
2025357.1347.2–361.9347.1330.2–357.7
2026357.2343.5–362.7347.6329.5–356.7
2027357.5344.3–362.4346327.1–356.1
2028359.5348.6–363.6349.4333.5–357.3
2029358.8349–363.1348.6337.5–355.6
2030359.6350.6–363.2349.3335.5–357.2
2031360.8351–364351.3336.3–357.6
2032359.7346.4–363.9348.6333.6–357.7
2033360.2349–364.1350.8336.7–359.4
2034359.4350.8–363.1350.2337.5–358.3
2035360.5350.8–364352.3331–359.5
2036360.9350.6–364.9352340.8–359.1
2037361350.5–364351.9337.4–359.5
2038361.4354.4–363.9354.3341.9–359.6
2039361.3352.3–364.5353.8340.6–360
2040361.5352.2–365.2353.5338.7–360.2
2041361.3351.7–364.3353.2336.9–360.2
2042360.6352.3–364.3351.9336.9–360.3
2043360.6351.8–364353.2336.2–359.5
2044361.6353.6–364.8353.7339.9–361.1
2045361.1353.2–364.4353.7342.2–360.6
2046361.9353.1–364.1355.4342.2–361
2047362.3350.3–364.5355.7344–361.2
2048362.1354.7–365.3354.7342.5–361.6
2049362.6354–364.4356.7346.4–361.1
2050362.2355.3–364.4356.8345.6–361.7
2051362.3355.7–364.6356345.4–361.8
2052362.1354.2–365355.3343.8–362.2
2053362.4354.1–364.5355.5343.4–361.7
2054362.9354.8–364.6356.9345.2–362.1
2055362.5355.1–364.5356.9345–361.7
2056363.3355.6–365.7356.7345.7–363.1
2057363.2355.9–364.8358.4349.2–362.6
2058363356.3–364.9357.7345–361.8
2059362.9356.2–364.8358.6348.4–362.6
2060362.9354.1–365.7357.7344.7–363.8
2061363.2354–364.9358.2345.8–362.7
2062363.1355–364.9357.4345.2–363.1
2063363.2355.5–364.9358.8347.3–362.6
2064363.3356.6–365.6358.9348.4–363.3
2065363.7357.8–364.9359.1351.1–362.9
2066362.7356.9–364.8359.2350.6–363.1
2067363.6354.1–364.9358.6347.6–363.3
2068364.1356.3–365.8359.9350.3–364.4
2069362.8356.3–364.9357.6347–363.1
2070363.3356.2–364.9359.5350.4–363
2071363.5355.3–364.9359.6350.5–363.2
2072364.1355.6–365.8360.2348.4–364.2
2073363.6355.1–364.8359.3350.3–363.5
2074363.4355.4–364.8359.5348–363.3
2075363.4357–364.9359.9348.5–363.4
2076363.8358.4–365.8359.4350.5–364
2077363.8357.8–365359.9352.2–363.7
2078363.9356.6–364.9360351.2–363.4
2079364.2358–365359.8350.9–363.3
2080364.3357.8–366361.3349.8–364.6
2081363.8357.1–365360.4350.5–363.9
2082363.5357.1–364.9360.3351–363.3
2083364.1358.3–365360351.1–363.8
2084364358.5–365.9360.8350.8–364.9
2085364.1358.3–365361352.3–363.7
2086364.1357.8–365360.4352.5–364.1
2087364.1357.9–365359.7347.8–363.8
2088364.2356.4–365.9360.3352.2–364.7
2089363.9357.6–365360.2352.3–363.8
2090364.2357.6–365360.2351.3–363.9
2091363.9357.6–364.9360.9351.6–364.1
2092364.4356.6–366360.7352.4–364.7
2093364.4358.2–365361.6354.1–363.9
2094364.1357.9–365361.3353.8–364.3
2095364358.2–365361.5353.2–364
2096363.9358–366361.1352.8–365.1
2097363.9356.3–364.9360.7351.9–364.2
2098363.7357.8–364.9361.5352.6–364.1
2099363.9358.6–365361.2352.4–364.1
2100364.2357.6–365361.1352.6–364.2

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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