Ethiopia vs Ghana

Ethiopia vs Ghana: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 211.9 nights, or 2.46 times that in Ethiopia.

nights a year · CMIP6

Ethiopia vs Ghana: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 211.9 nights, or 2.46 times that in Ethiopia.
EthiopiaGhanaCMIP6 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 Ethiopia at 201.7 nights and Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaGhana
2014144.9356.8
2013145.1355.8
2012144.4356.8
2011145.6355.7
2010142.4355.9
2009140.3353.2
2008137.1353.1
2007138.2353.8
2006138.7353.9
2005138.1352.7
2004139.1352.4
2003138.8353.8
2002137.4353.2
2001139.2354.9
2000135.5352.2
1999132.6350.2
1998132.9350.6
1997132.7350.5
1996129.7349.1
1995127.8348.9
1994126.3347.9
1993122.5347.1
1992119.7344.5
1991129.5348.4
1990132.7352.1
1989129.4347.9
1988128.2347.2
1987126.4346.6
1986128.1348.4
1985122.8347.2
1984124.8346.2
1983120.6344.8
1982126.3344.8
1981127346.8
1980124.9344.5
1979125.1346.4
1978124.7343.9
1977125.8345.9
1976122344.5
1975119.5345.3
1974124343
1973125.2344
1972122.3344.4
1971120.6342.7
1970121.3344
1969120.4342.5
1968119.1342
1967118.1342.7
1966119.5342.1
1965117.4342
1964116.6340
1963115.7342.8
1962121.6345.9
1961124.2344.1
1960124.5345.7
1959121.6344.6
1958124.1344.6
1957123.2344.1
1956120.9343.5
1955122.8342.5
1954121.6346.8
1953121.2344.5
1952122.8341.9
1951123343.8
1950122340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaGhana
2015146.6129.4–163.9356341.5–361.7
2016144.1127–160.6356.5341.4–361.5
2017148.3129.2–164.9355.2341.3–361.6
2018149.6131.6–166355.8345.7–362.1
2019146.2129.3–166353.9343.6–362.3
2020149.4129.6–168.5356341.7–362.9
2021150.7132.1–170356.9345.4–362.7
2022154135.7–171.2358.2342–362.6
2023153.5135.4–171.4356.7344–361.7
2024156.5135.9–175.6358.6347.7–363.4
2025154132.6–175.5357.1347.2–361.9
2026153132–175357.2343.5–362.7
2027154.2134.4–175.3357.5344.3–362.4
2028157.5138.3–177.4359.5348.6–363.6
2029159.2141.8–176.8358.8349–363.1
2030156.8136.3–175.7359.6350.6–363.2
2031161.4142.4–179.1360.8351–364
2032161.7143.1–182.5359.7346.4–363.9
2033161.8140–180.9360.2349–364.1
2034158.8141.5–184.3359.4350.8–363.1
2035162141.7–184.2360.5350.8–364
2036160.5143.6–179.4360.9350.6–364.9
2037165145.8–184.5361350.5–364
2038167.1146.5–186.7361.4354.4–363.9
2039164.5143.9–186361.3352.3–364.5
2040165.9146.2–190.1361.5352.2–365.2
2041167.9146.3–189.3361.3351.7–364.3
2042167.7146–194.3360.6352.3–364.3
2043167.3145.5–190.8360.6351.8–364
2044168.2148.2–189.9361.6353.6–364.8
2045170.7149.1–192.3361.1353.2–364.4
2046175.3150–198.6361.9353.1–364.1
2047176.9151.8–197.5362.3350.3–364.5
2048177.5155.4–199.1362.1354.7–365.3
2049177.5157.9–198.4362.6354–364.4
2050176.4153.8–199362.2355.3–364.4
2051176.6155.3–199.7362.3355.7–364.6
2052177155.6–200.7362.1354.2–365
2053176.7154.2–201.6362.4354.1–364.5
2054177.6156.9–201.1362.9354.8–364.6
2055180.6155.2–202.3362.5355.1–364.5
2056177.3155–205.4363.3355.6–365.7
2057180.3159.3–205.5363.2355.9–364.8
2058182.6153.7–209.4363356.3–364.9
2059185.7160.1–210.6362.9356.2–364.8
2060185.9160.3–210.4362.9354.1–365.7
2061183.3158.3–211.7363.2354–364.9
2062183.8155.4–213363.1355–364.9
2063184.5159.1–208.6363.2355.5–364.9
2064186.7160.6–207.2363.3356.6–365.6
2065183.7162.4–212.9363.7357.8–364.9
2066187.1165.4–210.1362.7356.9–364.8
2067187.1160.7–214.5363.6354.1–364.9
2068187.6160.4–215.8364.1356.3–365.8
2069187.8165.4–215.8362.8356.3–364.9
2070187.9161.6–216.9363.3356.2–364.9
2071192.7165.2–219.5363.5355.3–364.9
2072193.6167.4–214.5364.1355.6–365.8
2073193.3169.7–218.7363.6355.1–364.8
2074188.5163.9–219363.4355.4–364.8
2075191.9162.7–218.6363.4357–364.9
2076195166.9–218.9363.8358.4–365.8
2077194.1169.3–223.3363.8357.8–365
2078192.1168.4–218.6363.9356.6–364.9
2079193.4166.6–220.9364.2358–365
2080196.1169.2–222.4364.3357.8–366
2081194.6171–221.4363.8357.1–365
2082195.4168.8–219.9363.5357.1–364.9
2083194.6168.2–228.7364.1358.3–365
2084198.5170.7–224.2364358.5–365.9
2085198.4173.1–226.3364.1358.3–365
2086198.6172.3–228.4364.1357.8–365
2087199170.6–226.6364.1357.9–365
2088199170.7–227.7364.2356.4–365.9
2089198.6171.2–226.2363.9357.6–365
2090198.6173.4–227.7364.2357.6–365
2091203.6171.9–232.1363.9357.6–364.9
2092200.7172.5–229.7364.4356.6–366
2093201.4175.2–228.6364.4358.2–365
2094200.2174–228.9364.1357.9–365
2095203.9175.7–231.9364358.2–365
2096199.1170.5–230.8363.9358–366
2097198.4171.8–229.3363.9356.3–364.9
2098198.7172.1–231.5363.7357.8–364.9
2099201.8172.8–233.3363.9358.6–365
2100201.7175.1–231.8364.2357.6–365

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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