Malawi vs South Africa

Malawi vs South Africa: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 111 nights, or 5.09 times that in South Africa.

nights a year · CMIP6

Malawi vs South Africa: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 111 nights, or 5.09 times that in South Africa.
MalawiSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malawi has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malawi at 213.3 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiSouth Africa
2014138.127.1
2013138.928.3
2012137.427.9
2011136.626.1
2010132.426
2009131.425.8
2008130.824.8
2007132.824.7
2006129.825.5
2005129.525.3
2004133.425.8
2003132.525.1
2002130.325
200113424.5
2000126.623.3
1999124.823
1998127.123.4
1997124.222.5
1996121.320.4
1995120.919.3
1994118.420
1993113.818.1
1992114.118.1
1991120.922.3
1990123.822.7
1989120.522
1988120.821.2
1987118.821.9
1986121.121
1985115.718.9
1984116.220
1983115.519
1982115.120.3
198111920
1980116.921.2
1979117.719.9
1978114.819.8
1977117.219.2
197611419.2
197511418.8
1974115.219.7
1973114.719.6
1972113.819
1971114.119.1
1970115.818.6
1969114.318.7
196811017.8
1967109.817.5
196611117.8
1965111.517.2
1964106.314.9
1963107.516.5
1962114.719.6
196111619.7
1960117.419.8
1959115.618.5
1958116.419.3
1957114.619.4
1956111.418
1955115.219.5
1954113.918.4
195311318.4
1952113.519.3
1951113.518.9
1950112.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiSouth Africa
2015145.7126.7–164.328.620–39.5
2016139.8122.6–157.426.817.8–37.9
2017143.6127–161.828.919.6–37.8
2018143.1124.6–162.629.620.6–40.6
2019143.8128.3–161.429.820.8–41.5
2020145127.3–165.829.518.9–39.1
2021145.3128–163.631.121.4–42.9
2022151130.1–169.13223.7–43.1
2023149.2129.5–171.231.922.9–41.8
2024152.4130–172.63324–45.6
2025151.1129.7–170.431.920.7–44.5
2026151.1126.2–173.834.521.9–46.9
2027154.4135.1–173.134.423–47.7
2028155.5134.6–17433.522.9–46
2029159.8139.2–178.536.226.5–48.3
2030155.6138.7–174.536.124.9–49
2031161.1143.4–177.636.324.5–50.3
2032160.8141.3–181.336.424.5–49.2
2033161.3135.6–179.236.924.5–48.3
2034160.9138.9–18537.626.4–51.8
2035164.3140.4–189.537.625.2–49.5
2036163.8137.6–182.53826.5–50.5
2037166.9144.6–189.239.928.2–53.4
2038172.2148.4–191.241.528.4–54.2
2039164.8147.3–188.239.227–52.9
2040164.4146.4–189.738.125.6–55.6
2041169.3143.7–192.540.227.4–54.3
2042169.8146.3–197.84229–56.4
2043167.5147.1–193.242.128.2–58.4
2044172.6148.3–19741.929.5–57.8
2045170.4153.1–194.742.728.2–59
2046176.3151.2–203.144.130–59.5
2047178.7157.8–200.944.630.7–61.2
2048180.7158.9–204.14531.9–61.5
2049176.7154–205.445.632.3–61.4
2050180.4155.2–204.946.931–63.6
2051182.9162.1–207.447.532–65
2052184.9163.2–209.648.332.7–64.3
2053177.2149.6–207.445.733.7–62.1
2054185.1157.1–2084833.3–64.3
2055186.1159.2–212.646.833–68.4
2056184.6158.5–214.347.933.2–64.8
2057184.7159.3–212.350.232.6–68.9
2058188.5163.8–214.747.934–66.4
2059189.8166.9–218.551.333.1–66.9
2060192.6163.4–218.151.936–69.9
2061186.4158.8–216.850.534.8–71.3
2062192.3163.9–218.650.532.7–71
2063189.2165.2–220.350.434.3–69.7
2064197161.3–2185134.1–67.7
2065193.1165.8–225.250.433.6–70.2
2066201170.1–224.75335.7–72.4
2067193.1164.2–223.750.634.8–70.4
2068198.6163.7–227.154.837.8–72.5
2069199.4165.8–22554.339.1–73.4
2070198.7168–226.754.337.2–73.3
2071199.3167.9–233.555.837.9–76.9
2072202.3173.2–226.25639.4–78.6
2073205.4168.2–233.460.443.4–80.3
2074198.2175.4–227.757.439.1–75.3
2075199.6168.9–228.356.137.7–76
2076198.8169.8–225.258.538.4–75.3
2077202172.2–231.257.341–80.5
2078203.5175.8–232.15639.5–79
2079203.6172.2–236.157.639.3–78
2080204.7172.2–234.359.540.3–80.9
2081202.2174.9–231.35841.5–79.6
2082204.3178.3–228.658.839.7–77.7
2083205.8170.7–238.360.839.1–82.9
2084208.1175.9–235.662.540.4–82.9
2085211.1179.4–24160.741.3–87.6
2086203.3175.4–23760.542.1–83.3
2087205.3181.2–237.757.941–82.9
2088211.6174.7–240.664.243.4–85.3
2089208.9180.5–237.861.541.3–81.2
2090209.4173.4–24361.641.5–86.8
2091214.3179.7–244.863.341.6–86.3
2092213.2176.8–242.363.144.9–84.8
2093212.5177.8–242.262.443.2–86.1
2094211.8179.7–241.563.145.6–87.4
2095216.9185–243.865.342.6–91.7
2096213.1182–247.66142.7–90.1
2097210.8174.9–242.158.841.2–84.6
2098214.4181.5–242.265.143.8–89.8
2099213.5181.9–244.164.345–87
2100213.3181.5–246.358.742–88.2

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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