Indonesia vs South Africa

Indonesia vs South Africa: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 279.4 nights, or 11 times that in South Africa.

nights a year · CMIP6

Indonesia vs South Africa: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 279.4 nights, or 11 times that in South Africa.
IndonesiaSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaSouth Africa
2014306.527.1
2013306.428.3
2012306.327.9
2011304.626.1
2010305.626
2009303.925.8
2008303.424.8
2007302.824.7
2006302.825.5
2005303.125.3
2004303.825.8
2003301.925.1
2002301.525
2001302.524.5
2000300.923.3
1999300.423
1998299.123.4
1997297.922.5
1996296.920.4
1995296.719.3
1994294.620
1993291.618.1
1992288.518.1
1991297.522.3
1990298.622.7
198929622
1988296.521.2
1987295.621.9
1986295.821
1985292.818.9
1984293.420
1983290.119
1982294.420.3
1981294.820
1980294.521.2
1979294.119.9
1978292.419.8
1977293.419.2
1976290.819.2
1975290.718.8
1974291.519.7
197329319.6
1972290.719
1971291.219.1
1970288.918.6
1969290.418.7
1968289.117.8
1967288.417.5
1966290.517.8
1965288.117.2
1964286.214.9
1963286.416.5
1962291.219.6
1961292.919.7
1960292.819.8
1959291.918.5
1958293.319.3
1957290.819.4
1956291.518
1955292.419.5
195429018.4
1953291.418.4
1952291.719.3
1951291.718.9
1950291.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaSouth Africa
2015308295.7–315.128.620–39.5
2016307.5296.9–315.626.817.8–37.9
2017308.4295.5–315.628.919.6–37.8
2018308.9296.4–316.629.620.6–40.6
2019309.9297.8–316.729.820.8–41.5
2020310.9299–318.629.518.9–39.1
2021310.4298.7–316.431.121.4–42.9
2022311.4300–319.63223.7–43.1
2023311.4300.1–320.631.922.9–41.8
2024313.2302–321.23324–45.6
2025312300.2–321.931.920.7–44.5
2026312.6299.9–322.834.521.9–46.9
2027312.7301–321.634.423–47.7
2028313.8302.4–321.933.522.9–46
2029315.5303.9–324.136.226.5–48.3
2030314.2303.1–322.636.124.9–49
2031314.4301.6–321.936.324.5–50.3
2032316.9304.8–325.836.424.5–49.2
2033316.6305.4–323.336.924.5–48.3
2034315.4303.9–323.937.626.4–51.8
2035316.3305.6–327.937.625.2–49.5
2036317.7305.2–326.23826.5–50.5
2037318.1306.6–325.239.928.2–53.4
2038319.3307.6–326.741.528.4–54.2
2039319.4307.7–326.739.227–52.9
2040318.5306.5–32938.125.6–55.6
2041320.2308.3–32840.227.4–54.3
2042320308.7–329.24229–56.4
2043318.6306.6–327.842.128.2–58.4
2044321309–329.641.929.5–57.8
2045320.8308.6–329.842.728.2–59
2046322.8308.8–33144.130–59.5
2047323.2308.8–33344.630.7–61.2
2048322.3310.5–332.34531.9–61.5
2049323.8311.6–334.145.632.3–61.4
2050323.3310.3–333.546.931–63.6
2051323.6311.2–334.447.532–65
2052325.1311.7–334.748.332.7–64.3
2053323.9310.9–333.845.733.7–62.1
2054324.4311.9–335.44833.3–64.3
2055325.3312.6–33546.833–68.4
2056325.9312.4–337.247.933.2–64.8
2057326.9311.9–335.250.232.6–68.9
2058326.4313–336.347.934–66.4
2059326.4313.9–337.851.333.1–66.9
2060329.5314.9–338.251.936–69.9
2061327.9313.6–336.950.534.8–71.3
2062327.6312.4–339.150.532.7–71
2063327.6313.9–339.450.434.3–69.7
2064328.8314.4–338.65134.1–67.7
2065327.6314.3–337.950.433.6–70.2
2066328.6314.7–338.55335.7–72.4
2067328.8314.3–33850.634.8–70.4
2068329.8314.4–339.954.837.8–72.5
2069329.5315.5–339.354.339.1–73.4
2070328.6315.1–338.854.337.2–73.3
2071331.4315.5–340.455.837.9–76.9
2072330.3315.9–339.45639.4–78.6
2073331.4317.7–34160.443.4–80.3
2074329.9316.8–341.157.439.1–75.3
2075330.5315.2–340.256.137.7–76
2076331.5316.2–341.258.538.4–75.3
2077332315.9–341.857.341–80.5
2078331.4318.2–340.95639.5–79
2079331.5316.6–341.557.639.3–78
2080332.4317.4–343.259.540.3–80.9
2081332.3318.4–341.85841.5–79.6
2082332.8317.8–340.458.839.7–77.7
2083333.1318.7–342.660.839.1–82.9
2084333317.8–342.762.540.4–82.9
2085332.6318.1–342.760.741.3–87.6
2086333.1318.9–342.360.542.1–83.3
2087332.6318–343.257.941–82.9
2088334.5319.5–343.164.243.4–85.3
2089333.6319–342.661.541.3–81.2
2090333.3319.6–343.361.641.5–86.8
2091334.5318.2–343.963.341.6–86.3
2092335.1319.7–343.663.144.9–84.8
2093333.9320–344.962.443.2–86.1
2094335.6320.4–342.863.145.6–87.4
2095335.4319.7–34365.342.6–91.7
2096334.3319.4–346.16142.7–90.1
2097334.2319.5–343.358.841.2–84.6
2098334.9319.4–343.465.143.8–89.8
2099334.4319.4–344.664.345–87
2100334.7318.7–343.358.742–88.2

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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