Ghana vs Kenya

Ghana vs Kenya: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 111.2 nights, or 1.45 times that in Kenya.

nights a year · CMIP6

Ghana vs Kenya: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 111.2 nights, or 1.45 times that in Kenya.
GhanaKenyaCMIP6 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaKenya
2014356.8245.6
2013355.8245.4
2012356.8244.7
2011355.7245
2010355.9243.8
2009353.2242.3
2008353.1240.3
2007353.8240.9
2006353.9241.5
2005352.7241.2
2004352.4241.8
2003353.8240.8
2002353.2240.7
2001354.9242
2000352.2239.5
1999350.2237.8
1998350.6239.2
1997350.5236.9
1996349.1234.2
1995348.9232.9
1994347.9231.9
1993347.1227.4
1992344.5224.8
1991348.4233.8
1990352.1236.4
1989347.9234.5
1988347.2233.1
1987346.6232.6
1986348.4233
1985347.2228.7
1984346.2230.2
1983344.8226.7
1982344.8230.6
1981346.8232.9
1980344.5231.3
1979346.4229.6
1978343.9228.7
1977345.9229.9
1976344.5227.8
1975345.3225.9
1974343230.5
1973344230.4
1972344.4228.7
1971342.7226
1970344226.3
1969342.5225.9
1968342222.9
1967342.7224
1966342.1225.2
1965342224.2
1964340221.8
1963342.8220.2
1962345.9227.2
1961344.1228.3
1960345.7228.8
1959344.6228.3
1958344.6229.1
1957344.1228
1956343.5225.5
1955342.5228.7
1954346.8227.4
1953344.5227.6
1952341.9228.5
1951343.8228.3
1950340.3226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaKenya
2015356341.5–361.7246.9232.3–256.1
2016356.5341.4–361.5244.9230.1–255
2017355.2341.3–361.6248.1233.1–257.7
2018355.8345.7–362.1248.7237–257.4
2019353.9343.6–362.3247.1234.8–256.7
2020356341.7–362.9248.6233.2–259.2
2021356.9345.4–362.7249.5236.3–258.1
2022358.2342–362.6251.5239.7–259.5
2023356.7344–361.7251.8239–260.8
2024358.6347.7–363.4254.2239.1–263
2025357.1347.2–361.9251.5238.1–261.8
2026357.2343.5–362.7252.2237.2–263.3
2027357.5344.3–362.4252.8238.4–263.8
2028359.5348.6–363.6254.9241.9–264.2
2029358.8349–363.1256243.4–264.6
2030359.6350.6–363.2253.6240.6–263.1
2031360.8351–364256244.7–264.4
2032359.7346.4–363.9257243.8–267.1
2033360.2349–364.1256241.8–265.9
2034359.4350.8–363.1256.2241.2–267.9
2035360.5350.8–364256.7243.3–266.7
2036360.9350.6–364.9256.2242.4–266.7
2037361350.5–364258.7245.9–268.4
2038361.4354.4–363.9260.3244.5–268.9
2039361.3352.3–364.5259244.4–268
2040361.5352.2–365.2258.3246.2–269.8
2041361.3351.7–364.3260.7244.8–271.2
2042360.6352.3–364.3260.3246.5–272.7
2043360.6351.8–364259246.6–270.5
2044361.6353.6–364.8261.2248.8–270.9
2045361.1353.2–364.4261.8248.7–272.9
2046361.9353.1–364.1264.8249.6–275.3
2047362.3350.3–364.5264.4249.8–275.3
2048362.1354.7–365.3264.2252.3–274.9
2049362.6354–364.4265.2252.8–275.6
2050362.2355.3–364.4263.9249.8–275.1
2051362.3355.7–364.6265.4252.1–275.1
2052362.1354.2–365266.3252.6–276.2
2053362.4354.1–364.5265.2251–275.4
2054362.9354.8–364.6265.2250.2–277.2
2055362.5355.1–364.5266.8251.6–277.6
2056363.3355.6–365.7266.2251.2–277.8
2057363.2355.9–364.8266.8253–278
2058363356.3–364.9266.7251.5–277.9
2059362.9356.2–364.8269.8254.7–280.5
2060362.9354.1–365.7271.1253.9–280.7
2061363.2354–364.9267.5253.9–281.7
2062363.1355–364.9268.1254–281.2
2063363.2355.5–364.9268.9255–280.1
2064363.3356.6–365.6270254.1–279.8
2065363.7357.8–364.9269.4255.8–282.3
2066362.7356.9–364.8270.6258.1–281
2067363.6354.1–364.9270.7256.1–283
2068364.1356.3–365.8270.2256–283
2069362.8356.3–364.9269.8256.1–283.3
2070363.3356.2–364.9270.1255.8–282.6
2071363.5355.3–364.9271.9257.9–284.4
2072364.1355.6–365.8273.5260.3–283.8
2073363.6355.1–364.8273.1259.9–285.4
2074363.4355.4–364.8271.9257.5–285.4
2075363.4357–364.9271.1256.5–284.7
2076363.8358.4–365.8274.1258.6–285.8
2077363.8357.8–365273.4259–286.6
2078363.9356.6–364.9273.1260–284.4
2079364.2358–365273.3258.7–286.6
2080364.3357.8–366275.5259.4–286.9
2081363.8357.1–365274.7259.8–285.6
2082363.5357.1–364.9274.8261.3–286.4
2083364.1358.3–365274259.6–289.3
2084364358.5–365.9276.8259–288.8
2085364.1358.3–365276.2261.5–289.1
2086364.1357.8–365275.1260–289.1
2087364.1357.9–365276.2260.3–288.5
2088364.2356.4–365.9276.8261.6–289.7
2089363.9357.6–365275.9260.3–288.8
2090364.2357.6–365275.3260.5–290.5
2091363.9357.6–364.9277.7260.4–290.9
2092364.4356.6–366276.2261.2–290.7
2093364.4358.2–365276.9262–290.1
2094364.1357.9–365277262.8–288.9
2095364358.2–365278.4262.3–290.4
2096363.9358–366277.6260.5–292
2097363.9356.3–364.9277261–290.2
2098363.7357.8–364.9277.6262.3–291.5
2099363.9358.6–365277.9260.8–292.4
2100364.2357.6–365277261.8–290.4

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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