Indonesia vs Italy

Indonesia vs Italy: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 280.2 nights, or 12 times that in Italy.

nights a year · CMIP6

Indonesia vs Italy: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 280.2 nights, or 12 times that in Italy.
IndonesiaItalyCMIP6 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 Italy at 65.1 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaItaly
2014306.526.3
2013306.424.7
2012306.324.8
2011304.624.6
2010305.627.1
2009303.923.7
2008303.424.1
2007302.821.5
2006302.824.6
2005303.122.5
2004303.824.5
2003301.923.8
2002301.520.6
2001302.520.8
2000300.921.7
1999300.420.3
1998299.118.9
1997297.918.9
1996296.918.9
1995296.717.9
1994294.617.4
1993291.616.3
1992288.515.1
1991297.518
1990298.618.2
198929616.6
1988296.515.5
1987295.616
1986295.815
1985292.814.5
1984293.415.7
1983290.115.3
1982294.414.1
1981294.815.3
1980294.515.9
1979294.114.5
1978292.416.5
1977293.413.5
1976290.813.8
1975290.714
1974291.514.8
197329313.5
1972290.713.7
1971291.215.3
1970288.914
1969290.414.5
1968289.113.8
1967288.413.6
1966290.513.2
1965288.112.8
1964286.213.2
1963286.414.2
1962291.215.5
1961292.913.9
1960292.814.9
1959291.916.6
1958293.314.4
1957290.815.5
1956291.516.7
1955292.416.6
195429015.7
1953291.415.4
1952291.716.6
1951291.716
1950291.815.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaItaly
2015308295.7–315.13021.7–40.4
2016307.5296.9–315.629.618–42.2
2017308.4295.5–315.631.820.2–43.7
2018308.9296.4–316.63122–44.3
2019309.9297.8–316.731.521.3–43.2
2020310.9299–318.631.619.7–44.3
2021310.4298.7–316.43420.8–46.9
2022311.4300–319.637.121.3–50.6
2023311.4300.1–320.633.121.3–47.4
2024313.2302–321.235.521.6–48.4
2025312300.2–321.937.720.5–51.1
2026312.6299.9–322.838.926.6–52.2
2027312.7301–321.634.322.4–49.7
2028313.8302.4–321.937.724.4–53.1
2029315.5303.9–324.137.824.9–55
2030314.2303.1–322.637.925.7–54.7
2031314.4301.6–321.937.223.8–51
2032316.9304.8–325.839.226.2–53.8
2033316.6305.4–323.340.426–50.3
2034315.4303.9–323.942.525.1–57.2
2035316.3305.6–327.942.728.9–58.3
2036317.7305.2–326.241.127.7–59.9
2037318.1306.6–325.24328.1–54.8
2038319.3307.6–326.741.628.5–61.3
2039319.4307.7–326.74129.4–56.4
2040318.5306.5–32942.428.1–59.1
2041320.2308.3–32841.927.2–58.7
2042320308.7–329.243.529.6–59
2043318.6306.6–327.84528.7–59.5
2044321309–329.644.929.4–59.9
2045320.8308.6–329.845.230.3–59.2
2046322.8308.8–3314627.3–62.4
2047323.2308.8–33349.132.4–63.6
2048322.3310.5–332.346.228.3–65.7
2049323.8311.6–334.148.229.5–65.7
2050323.3310.3–333.549.536.4–64.4
2051323.6311.2–334.448.831.6–68.3
2052325.1311.7–334.750.330.9–68.1
2053323.9310.9–333.848.235.9–67
2054324.4311.9–335.449.435.3–66.1
2055325.3312.6–33552.233.7–67.7
2056325.9312.4–337.250.836.2–71.6
2057326.9311.9–335.250.232.8–65.6
2058326.4313–336.355.337.5–70.8
2059326.4313.9–337.851.934.5–74.1
2060329.5314.9–338.252.938.2–68.1
2061327.9313.6–336.954.338.3–69.8
2062327.6312.4–339.153.936.9–69
2063327.6313.9–339.456.437.6–72.1
2064328.8314.4–338.655.938.5–71.3
2065327.6314.3–337.95537.3–73.3
2066328.6314.7–338.553.935.8–73.8
2067328.8314.3–33861.141.2–76.6
2068329.8314.4–339.956.241.7–73
2069329.5315.5–339.358.741.8–73
2070328.6315.1–338.855.738.9–74.4
2071331.4315.5–340.459.637.8–76.6
2072330.3315.9–339.459.643.5–74.6
2073331.4317.7–34156.939.4–71.6
2074329.9316.8–341.154.836.7–73.7
2075330.5315.2–340.256.941.8–75.4
2076331.5316.2–341.259.941.9–77.7
2077332315.9–341.857.437.9–74.1
2078331.4318.2–340.960.540.5–80.7
2079331.5316.6–341.560.637.1–83.3
2080332.4317.4–343.259.743.1–78
2081332.3318.4–341.85943.7–78.9
2082332.8317.8–340.463.945.5–80.2
2083333.1318.7–342.660.842–79.7
2084333317.8–342.762.547.3–82.1
2085332.6318.1–342.765.246.3–79
2086333.1318.9–342.364.445.6–80.1
2087332.6318–343.263.743.8–84
2088334.5319.5–343.167.247.4–84.4
2089333.6319–342.664.546–82.9
2090333.3319.6–343.365.842.8–80.5
2091334.5318.2–343.966.745.3–84.7
2092335.1319.7–343.664.838.5–82.3
2093333.9320–344.963.644.7–83
2094335.6320.4–342.862.445–82
2095335.4319.7–3436643.6–83.5
2096334.3319.4–346.16542.9–85.8
2097334.2319.5–343.365.844.9–84.4
2098334.9319.4–343.464.647.9–84.2
2099334.4319.4–344.667.742.2–81.9
2100334.7318.7–343.365.142.5–83.2

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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