Ghana vs Mali

Ghana vs Mali: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 106.6 nights, or 1.43 times that in Mali.

Watch it change on the map

nights a year · CMIP6

Ghana vs Mali: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 106.6 nights, or 1.43 times that in Mali.
GhanaMaliCMIP6 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 Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaMali
2014356.8250.2
2013355.8247.3
2012356.8253.1
2011355.7251.9
2010355.9250.4
2009353.2248
2008353.1247.8
2007353.8248.1
2006353.9245.5
2005352.7244.3
2004352.4243.9
2003353.8247.1
2002353.2245.8
2001354.9245.6
2000352.2243.2
1999350.2242.4
1998350.6240.6
1997350.5240.7
1996349.1236.4
1995348.9238
1994347.9236.2
1993347.1235.1
1992344.5232
1991348.4238.7
1990352.1241
1989347.9236.3
1988347.2234.7
1987346.6236.1
1986348.4237.1
1985347.2235.3
1984346.2233
1983344.8231.2
1982344.8234.9
1981346.8233.9
1980344.5231.5
1979346.4233.8
1978343.9234.8
1977345.9233.6
1976344.5231.7
1975345.3232.4
1974343229.7
1973344230.3
1972344.4230.7
1971342.7229.5
1970344229.9
1969342.5227.3
1968342230.5
1967342.7229
1966342.1228.1
1965342230.2
1964340228.9
1963342.8228.2
1962345.9231.7
1961344.1231.6
1960345.7235.1
1959344.6231.8
1958344.6231.8
1957344.1233.3
1956343.5230.7
1955342.5230.6
1954346.8232
1953344.5228.3
1952341.9229.2
1951343.8231.4
1950340.3228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaMali
2015356341.5–361.7247.9231.5–264.7
2016356.5341.4–361.5248231.3–262.6
2017355.2341.3–361.6252.7233.6–268.2
2018355.8345.7–362.1254.2236.4–269
2019353.9343.6–362.3251.6233.5–272.3
2020356341.7–362.9251.3231.2–270.7
2021356.9345.4–362.7254.8238.5–270
2022358.2342–362.6257237.8–275.3
2023356.7344–361.7254.2239.6–269.2
2024358.6347.7–363.4259.3242.3–276.8
2025357.1347.2–361.9256.2239.2–272.3
2026357.2343.5–362.7256.8237.2–277.8
2027357.5344.3–362.4258.5240.3–273.1
2028359.5348.6–363.6259.7243.6–273.9
2029358.8349–363.1260.8240.3–275.3
2030359.6350.6–363.2258.1237.5–272.6
2031360.8351–364262.2243.4–280.6
2032359.7346.4–363.9260.5242.1–278.2
2033360.2349–364.1262.1241.7–280.3
2034359.4350.8–363.1260.7242–275.3
2035360.5350.8–364261.5244.8–283.6
2036360.9350.6–364.9262.5244.6–281.1
2037361350.5–364264.5245.2–279.6
2038361.4354.4–363.9266246.7–283.2
2039361.3352.3–364.5262.3245–281.6
2040361.5352.2–365.2263.6247.5–279.6
2041361.3351.7–364.3264.6250.8–283.1
2042360.6352.3–364.3265.7245.9–283.5
2043360.6351.8–364264.8246.9–278.8
2044361.6353.6–364.8269.3247.4–284.7
2045361.1353.2–364.4265.6248.9–283.7
2046361.9353.1–364.1269.8247.5–286.4
2047362.3350.3–364.5271.9251.2–290.3
2048362.1354.7–365.3270.4254.4–288.2
2049362.6354–364.4272252.1–288.2
2050362.2355.3–364.4269.5250.6–286.4
2051362.3355.7–364.6268.8251.7–286.9
2052362.1354.2–365270.1252.7–292.1
2053362.4354.1–364.5269.3249.2–288.8
2054362.9354.8–364.6270.3251.7–290.6
2055362.5355.1–364.5270.9252.7–288.1
2056363.3355.6–365.7273248.6–291.4
2057363.2355.9–364.8275.5255.2–295
2058363356.3–364.9271252.7–293.2
2059362.9356.2–364.8274.5259.3–299.6
2060362.9354.1–365.7273.5258–293.7
2061363.2354–364.9275.4257–298
2062363.1355–364.9270.8251.7–291.8
2063363.2355.5–364.9275.9256.6–292.2
2064363.3356.6–365.6276.4256.6–298.4
2065363.7357.8–364.9275.3256–295.1
2066362.7356.9–364.8276.9260–296.5
2067363.6354.1–364.9272.6255.4–293.3
2068364.1356.3–365.8277.5258.1–296.5
2069362.8356.3–364.9276.1257.7–293.3
2070363.3356.2–364.9277.2256.6–296.6
2071363.5355.3–364.9277.2258.4–295.6
2072364.1355.6–365.8281.9263.8–298.9
2073363.6355.1–364.8276.8257.9–296.8
2074363.4355.4–364.8277.7258.7–295.9
2075363.4357–364.9278.5260.1–298.5
2076363.8358.4–365.8278.1261.1–294.2
2077363.8357.8–365283.8263.1–302.3
2078363.9356.6–364.9283.8263.5–299.4
2079364.2358–365278.9259.2–300.6
2080364.3357.8–366281.2262.1–299.4
2081363.8357.1–365279.1259.3–301.8
2082363.5357.1–364.9280.2260.2–298.4
2083364.1358.3–365280.8260.8–302.3
2084364358.5–365.9280.4263.8–301
2085364.1358.3–365284.6259.2–303
2086364.1357.8–365281.9262.8–302.4
2087364.1357.9–365279.7258.8–302.8
2088364.2356.4–365.9282.3260.7–303.3
2089363.9357.6–365283.4262.4–300.5
2090364.2357.6–365283.9259.8–301.9
2091363.9357.6–364.9283.1260.4–304.8
2092364.4356.6–366281.6259.7–303.1
2093364.4358.2–365284.8265.8–305.4
2094364.1357.9–365284.6262.8–305.6
2095364358.2–365283.6262–304.6
2096363.9358–366284.9263.3–306.3
2097363.9356.3–364.9280261–300.5
2098363.7357.8–364.9282.5262–302.1
2099363.9358.6–365285.3266.2–305.4
2100364.2357.6–365283.6262.8–304.1

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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