Ethiopia vs South Africa

Ethiopia vs South Africa: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 117.8 nights, or 5.34 times that in South Africa.

nights a year · CMIP6

Ethiopia vs South Africa: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 117.8 nights, or 5.34 times that in South Africa.
EthiopiaSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaSouth Africa
2014144.927.1
2013145.128.3
2012144.427.9
2011145.626.1
2010142.426
2009140.325.8
2008137.124.8
2007138.224.7
2006138.725.5
2005138.125.3
2004139.125.8
2003138.825.1
2002137.425
2001139.224.5
2000135.523.3
1999132.623
1998132.923.4
1997132.722.5
1996129.720.4
1995127.819.3
1994126.320
1993122.518.1
1992119.718.1
1991129.522.3
1990132.722.7
1989129.422
1988128.221.2
1987126.421.9
1986128.121
1985122.818.9
1984124.820
1983120.619
1982126.320.3
198112720
1980124.921.2
1979125.119.9
1978124.719.8
1977125.819.2
197612219.2
1975119.518.8
197412419.7
1973125.219.6
1972122.319
1971120.619.1
1970121.318.6
1969120.418.7
1968119.117.8
1967118.117.5
1966119.517.8
1965117.417.2
1964116.614.9
1963115.716.5
1962121.619.6
1961124.219.7
1960124.519.8
1959121.618.5
1958124.119.3
1957123.219.4
1956120.918
1955122.819.5
1954121.618.4
1953121.218.4
1952122.819.3
195112318.9
195012218.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaSouth Africa
2015146.6129.4–163.928.620–39.5
2016144.1127–160.626.817.8–37.9
2017148.3129.2–164.928.919.6–37.8
2018149.6131.6–16629.620.6–40.6
2019146.2129.3–16629.820.8–41.5
2020149.4129.6–168.529.518.9–39.1
2021150.7132.1–17031.121.4–42.9
2022154135.7–171.23223.7–43.1
2023153.5135.4–171.431.922.9–41.8
2024156.5135.9–175.63324–45.6
2025154132.6–175.531.920.7–44.5
2026153132–17534.521.9–46.9
2027154.2134.4–175.334.423–47.7
2028157.5138.3–177.433.522.9–46
2029159.2141.8–176.836.226.5–48.3
2030156.8136.3–175.736.124.9–49
2031161.4142.4–179.136.324.5–50.3
2032161.7143.1–182.536.424.5–49.2
2033161.8140–180.936.924.5–48.3
2034158.8141.5–184.337.626.4–51.8
2035162141.7–184.237.625.2–49.5
2036160.5143.6–179.43826.5–50.5
2037165145.8–184.539.928.2–53.4
2038167.1146.5–186.741.528.4–54.2
2039164.5143.9–18639.227–52.9
2040165.9146.2–190.138.125.6–55.6
2041167.9146.3–189.340.227.4–54.3
2042167.7146–194.34229–56.4
2043167.3145.5–190.842.128.2–58.4
2044168.2148.2–189.941.929.5–57.8
2045170.7149.1–192.342.728.2–59
2046175.3150–198.644.130–59.5
2047176.9151.8–197.544.630.7–61.2
2048177.5155.4–199.14531.9–61.5
2049177.5157.9–198.445.632.3–61.4
2050176.4153.8–19946.931–63.6
2051176.6155.3–199.747.532–65
2052177155.6–200.748.332.7–64.3
2053176.7154.2–201.645.733.7–62.1
2054177.6156.9–201.14833.3–64.3
2055180.6155.2–202.346.833–68.4
2056177.3155–205.447.933.2–64.8
2057180.3159.3–205.550.232.6–68.9
2058182.6153.7–209.447.934–66.4
2059185.7160.1–210.651.333.1–66.9
2060185.9160.3–210.451.936–69.9
2061183.3158.3–211.750.534.8–71.3
2062183.8155.4–21350.532.7–71
2063184.5159.1–208.650.434.3–69.7
2064186.7160.6–207.25134.1–67.7
2065183.7162.4–212.950.433.6–70.2
2066187.1165.4–210.15335.7–72.4
2067187.1160.7–214.550.634.8–70.4
2068187.6160.4–215.854.837.8–72.5
2069187.8165.4–215.854.339.1–73.4
2070187.9161.6–216.954.337.2–73.3
2071192.7165.2–219.555.837.9–76.9
2072193.6167.4–214.55639.4–78.6
2073193.3169.7–218.760.443.4–80.3
2074188.5163.9–21957.439.1–75.3
2075191.9162.7–218.656.137.7–76
2076195166.9–218.958.538.4–75.3
2077194.1169.3–223.357.341–80.5
2078192.1168.4–218.65639.5–79
2079193.4166.6–220.957.639.3–78
2080196.1169.2–222.459.540.3–80.9
2081194.6171–221.45841.5–79.6
2082195.4168.8–219.958.839.7–77.7
2083194.6168.2–228.760.839.1–82.9
2084198.5170.7–224.262.540.4–82.9
2085198.4173.1–226.360.741.3–87.6
2086198.6172.3–228.460.542.1–83.3
2087199170.6–226.657.941–82.9
2088199170.7–227.764.243.4–85.3
2089198.6171.2–226.261.541.3–81.2
2090198.6173.4–227.761.641.5–86.8
2091203.6171.9–232.163.341.6–86.3
2092200.7172.5–229.763.144.9–84.8
2093201.4175.2–228.662.443.2–86.1
2094200.2174–228.963.145.6–87.4
2095203.9175.7–231.965.342.6–91.7
2096199.1170.5–230.86142.7–90.1
2097198.4171.8–229.358.841.2–84.6
2098198.7172.1–231.565.143.8–89.8
2099201.8172.8–233.364.345–87
2100201.7175.1–231.858.742–88.2

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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