Ghana vs Zambia

Ghana vs Zambia: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 293.9 nights, or 5.67 times that in Zambia.

nights a year · CMIP6

Ghana vs Zambia: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 293.9 nights, or 5.67 times that in Zambia.
GhanaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaZambia
2014356.862.9
2013355.864.7
2012356.863.9
2011355.761.5
2010355.959.3
2009353.257.5
2008353.156
2007353.855.1
2006353.955.9
2005352.754.5
2004352.458.4
2003353.856.6
2002353.255
2001354.959
2000352.252.9
1999350.248
1998350.651.3
1997350.547.8
1996349.143.5
1995348.943.9
1994347.941.6
1993347.135.3
1992344.536
1991348.442.7
1990352.146.4
1989347.945
1988347.243.6
1987346.644
1986348.443.8
1985347.238.7
1984346.238.7
1983344.838.8
1982344.840
1981346.841.7
1980344.539.7
1979346.440.7
1978343.938.9
1977345.940
1976344.535.7
1975345.337.1
197434337.4
197334438.8
1972344.435
1971342.736
197034438.1
1969342.537.1
196834234.1
1967342.732.2
1966342.133.1
196534234.9
196434031.3
1963342.830.5
1962345.938.8
1961344.137
1960345.739.3
1959344.638.3
1958344.639
1957344.137.8
1956343.534.6
1955342.538.2
1954346.838
1953344.535.4
1952341.937.6
1951343.836.9
1950340.336
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaZambia
2015356341.5–361.772.150.1–93.9
2016356.5341.4–361.566.845.9–85.7
2017355.2341.3–361.671.449.7–92.5
2018355.8345.7–362.173.852.7–94.8
2019353.9343.6–362.373.354–97.6
2020356341.7–362.977.556.9–100.4
2021356.9345.4–362.776.755.7–104.5
2022358.2342–362.684.861.6–109.7
2023356.7344–361.784.763–108
2024358.6347.7–363.485.158.2–113.9
2025357.1347.2–361.984.957.1–116
2026357.2343.5–362.783.658.4–119.4
2027357.5344.3–362.489.562.5–115.7
2028359.5348.6–363.689.965–118.6
2029358.8349–363.19669.8–122.8
2030359.6350.6–363.29166.7–118.1
2031360.8351–36497.668.2–121.3
2032359.7346.4–363.994.970.3–122.2
2033360.2349–364.198.270.1–123.6
2034359.4350.8–363.197.370.4–135.2
2035360.5350.8–364104.168.4–137.8
2036360.9350.6–364.999.568.7–131.5
2037361350.5–364107.177.4–139.8
2038361.4354.4–363.9110.383.2–138.8
2039361.3352.3–364.5101.874.3–139.1
2040361.5352.2–365.2100.872.5–145.3
2041361.3351.7–364.3113.978.7–147.6
2042360.6352.3–364.3111.379.1–155.1
2043360.6351.8–364106.678.3–150.6
2044361.6353.6–364.8110.574.3–145.5
2045361.1353.2–364.4109.882.2–148.2
2046361.9353.1–364.1119.485.9–160
2047362.3350.3–364.5123.191.1–159.4
2048362.1354.7–365.3124.590.6–160.2
2049362.6354–364.4124.586.1–167.1
2050362.2355.3–364.4130.592–166
2051362.3355.7–364.6128.498.1–169.8
2052362.1354.2–365130.798.6–170.4
2053362.4354.1–364.5128.488–168.8
2054362.9354.8–364.6132.193–169.6
2055362.5355.1–364.5132.1100.1–176.1
2056363.3355.6–365.7132.492.7–179.6
2057363.2355.9–364.8133.298.5–178.5
2058363356.3–364.9137.299.2–179.7
2059362.9356.2–364.8139.8105.8–189.5
2060362.9354.1–365.7145.4102.9–191
2061363.2354–364.9136.692.8–196.9
2062363.1355–364.9143.9101–194.7
2063363.2355.5–364.9144.5101.7–187.8
2064363.3356.6–365.6147.998.4–180.9
2065363.7357.8–364.9148.6104.3–199.8
2066362.7356.9–364.8152.1109.4–193.6
2067363.6354.1–364.9140.6103.2–195.7
2068364.1356.3–365.8150.8105.7–200.3
2069362.8356.3–364.9150.5106.3–197
2070363.3356.2–364.9145.8104.7–202.4
2071363.5355.3–364.9153.1112.7–212
2072364.1355.6–365.8157.2120–195.7
2073363.6355.1–364.8161.5115.2–210.9
2074363.4355.4–364.8149.2115–198.7
2075363.4357–364.9148.2111.5–202.2
2076363.8358.4–365.8150.4112–201.9
2077363.8357.8–365156.5120.3–208.3
2078363.9356.6–364.9157.2122.2–209.5
2079364.2358–365156.8118.1–207.3
2080364.3357.8–366159.8116–211.9
2081363.8357.1–365160.2117.1–208.6
2082363.5357.1–364.9159.6119.6–200.6
2083364.1358.3–365159.5110.7–219.9
2084364358.5–365.9166124.3–210.3
2085364.1358.3–365172.9126.8–221.1
2086364.1357.8–365161.9120.6–224.1
2087364.1357.9–365158.3129.2–219.6
2088364.2356.4–365.9168.4123.9–218.5
2089363.9357.6–365168.5129.9–217.9
2090364.2357.6–365165.7124–223.8
2091363.9357.6–364.9177.4129.5–227.2
2092364.4356.6–366170.6127.8–221.5
2093364.4358.2–365173.6123.6–223.3
2094364.1357.9–365171.4130.3–220.7
2095364358.2–365179131.6–228.6
2096363.9358–366170.8124.8–233.3
2097363.9356.3–364.9167.2122.2–224.3
2098363.7357.8–364.9172.5131.9–226.9
2099363.9358.6–365171.7126.5–229.1
2100364.2357.6–365171.5124.3–228

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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