Kenya vs South Sudan

Kenya vs South Sudan: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 98.1 nights, or 1.4 times that in Kenya.

nights a year · CMIP6

Kenya vs South Sudan: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 98.1 nights, or 1.4 times that in Kenya.
KenyaSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kenya at 277 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaSouth Sudan
2014245.6343.7
2013245.4342.1
2012244.7342.8
2011245343.3
2010243.8341.9
2009242.3338.8
2008240.3339.8
2007240.9336.9
2006241.5339
2005241.2336.8
2004241.8336.6
2003240.8338.9
2002240.7336.6
2001242338.7
2000239.5334.6
1999237.8331.8
1998239.2333.6
1997236.9334.5
1996234.2330.7
1995232.9329.6
1994231.9328.2
1993227.4321.9
1992224.8321.5
1991233.8329.1
1990236.4332.6
1989234.5329
1988233.1330.5
1987232.6328.8
1986233330.4
1985228.7327.1
1984230.2324.1
1983226.7322.8
1982230.6322.8
1981232.9329.9
1980231.3326.5
1979229.6325.3
1978228.7324.1
1977229.9325
1976227.8322.6
1975225.9320.8
1974230.5320.1
1973230.4325.4
1972228.7324.7
1971226319.9
1970226.3322.3
1969225.9318.5
1968222.9318.3
1967224315.6
1966225.2317.2
1965224.2316.5
1964221.8312.9
1963220.2309.8
1962227.2323.9
1961228.3323.3
1960228.8324.8
1959228.3321.5
1958229.1320.2
1957228322.1
1956225.5319.5
1955228.7317
1954227.4322.4
1953227.6321.6
1952228.5322.4
1951228.3323.9
1950226.3318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaSouth Sudan
2015246.9232.3–256.1342.7327.5–353.3
2016244.9230.1–255342.1325.1–351.1
2017248.1233.1–257.7344.5326.9–353.7
2018248.7237–257.4344.1324.9–353.7
2019247.1234.8–256.7344.5324–354.2
2020248.6233.2–259.2344.9326.9–355.6
2021249.5236.3–258.1347.3329.2–355.3
2022251.5239.7–259.5344.5326.1–355.5
2023251.8239–260.8347.2329.2–357
2024254.2239.1–263350.4331.6–357.9
2025251.5238.1–261.8347.1330.2–357.7
2026252.2237.2–263.3347.6329.5–356.7
2027252.8238.4–263.8346327.1–356.1
2028254.9241.9–264.2349.4333.5–357.3
2029256243.4–264.6348.6337.5–355.6
2030253.6240.6–263.1349.3335.5–357.2
2031256244.7–264.4351.3336.3–357.6
2032257243.8–267.1348.6333.6–357.7
2033256241.8–265.9350.8336.7–359.4
2034256.2241.2–267.9350.2337.5–358.3
2035256.7243.3–266.7352.3331–359.5
2036256.2242.4–266.7352340.8–359.1
2037258.7245.9–268.4351.9337.4–359.5
2038260.3244.5–268.9354.3341.9–359.6
2039259244.4–268353.8340.6–360
2040258.3246.2–269.8353.5338.7–360.2
2041260.7244.8–271.2353.2336.9–360.2
2042260.3246.5–272.7351.9336.9–360.3
2043259246.6–270.5353.2336.2–359.5
2044261.2248.8–270.9353.7339.9–361.1
2045261.8248.7–272.9353.7342.2–360.6
2046264.8249.6–275.3355.4342.2–361
2047264.4249.8–275.3355.7344–361.2
2048264.2252.3–274.9354.7342.5–361.6
2049265.2252.8–275.6356.7346.4–361.1
2050263.9249.8–275.1356.8345.6–361.7
2051265.4252.1–275.1356345.4–361.8
2052266.3252.6–276.2355.3343.8–362.2
2053265.2251–275.4355.5343.4–361.7
2054265.2250.2–277.2356.9345.2–362.1
2055266.8251.6–277.6356.9345–361.7
2056266.2251.2–277.8356.7345.7–363.1
2057266.8253–278358.4349.2–362.6
2058266.7251.5–277.9357.7345–361.8
2059269.8254.7–280.5358.6348.4–362.6
2060271.1253.9–280.7357.7344.7–363.8
2061267.5253.9–281.7358.2345.8–362.7
2062268.1254–281.2357.4345.2–363.1
2063268.9255–280.1358.8347.3–362.6
2064270254.1–279.8358.9348.4–363.3
2065269.4255.8–282.3359.1351.1–362.9
2066270.6258.1–281359.2350.6–363.1
2067270.7256.1–283358.6347.6–363.3
2068270.2256–283359.9350.3–364.4
2069269.8256.1–283.3357.6347–363.1
2070270.1255.8–282.6359.5350.4–363
2071271.9257.9–284.4359.6350.5–363.2
2072273.5260.3–283.8360.2348.4–364.2
2073273.1259.9–285.4359.3350.3–363.5
2074271.9257.5–285.4359.5348–363.3
2075271.1256.5–284.7359.9348.5–363.4
2076274.1258.6–285.8359.4350.5–364
2077273.4259–286.6359.9352.2–363.7
2078273.1260–284.4360351.2–363.4
2079273.3258.7–286.6359.8350.9–363.3
2080275.5259.4–286.9361.3349.8–364.6
2081274.7259.8–285.6360.4350.5–363.9
2082274.8261.3–286.4360.3351–363.3
2083274259.6–289.3360351.1–363.8
2084276.8259–288.8360.8350.8–364.9
2085276.2261.5–289.1361352.3–363.7
2086275.1260–289.1360.4352.5–364.1
2087276.2260.3–288.5359.7347.8–363.8
2088276.8261.6–289.7360.3352.2–364.7
2089275.9260.3–288.8360.2352.3–363.8
2090275.3260.5–290.5360.2351.3–363.9
2091277.7260.4–290.9360.9351.6–364.1
2092276.2261.2–290.7360.7352.4–364.7
2093276.9262–290.1361.6354.1–363.9
2094277262.8–288.9361.3353.8–364.3
2095278.4262.3–290.4361.5353.2–364
2096277.6260.5–292361.1352.8–365.1
2097277261–290.2360.7351.9–364.2
2098277.6262.3–291.5361.5352.6–364.1
2099277.9260.8–292.4361.2352.4–364.1
2100277261.8–290.4361.1352.6–364.2

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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