Indonesia vs Israel

Indonesia vs Israel: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 208.6 nights, or 3.13 times that in Israel.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Israel: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 208.6 nights, or 3.13 times that in Israel.
IndonesiaIsraelCMIP6 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 Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaIsrael
2014306.597.9
2013306.498
2012306.396.3
2011304.696.1
2010305.695.5
2009303.992.5
2008303.494.1
2007302.892.7
2006302.892
2005303.192.3
2004303.890.7
2003301.993.9
2002301.589.5
2001302.591
2000300.989.5
1999300.486.2
1998299.184.8
1997297.984.2
1996296.983.7
1995296.779.3
1994294.680.1
1993291.671.6
1992288.574.9
1991297.578.4
1990298.680.2
198929676.9
1988296.576.5
1987295.675.1
1986295.878.3
1985292.874
1984293.469.4
1983290.168.9
1982294.473.5
1981294.873.5
1980294.575.3
1979294.168.7
1978292.471.6
1977293.472.3
1976290.873.2
1975290.770.9
1974291.572.5
197329371.9
1972290.769.9
1971291.273.1
1970288.971.6
1969290.470.6
1968289.169.6
1967288.466.9
1966290.568.8
1965288.163.5
1964286.266.1
1963286.470.9
1962291.273
1961292.971.5
1960292.874.9
1959291.975
1958293.373
1957290.874.8
1956291.574.3
1955292.472.8
195429071.4
1953291.473.7
1952291.772
1951291.775.1
1950291.869.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaIsrael
2015308295.7–315.1105.988.4–122.7
2016307.5296.9–315.6104.186.9–120.1
2017308.4295.5–315.6107.892.2–121.4
2018308.9296.4–316.610993.8–124.2
2019309.9297.8–316.710989.1–124.5
2020310.9299–318.6111.594.8–123.5
2021310.4298.7–316.411097.7–128.4
2022311.4300–319.6111.493.6–130.2
2023311.4300.1–320.6117.297.9–130.5
2024313.2302–321.2114.5100.4–127.3
2025312300.2–321.9116.698.3–129.2
2026312.6299.9–322.8115.9104.9–126.2
2027312.7301–321.6115.699–127.1
2028313.8302.4–321.9116.3100.2–127.9
2029315.5303.9–324.1117103.1–129.2
2030314.2303.1–322.6118.6102.1–131.2
2031314.4301.6–321.9116.8104.4–132.8
2032316.9304.8–325.8121.4106.5–134.7
2033316.6305.4–323.3122.1108.9–134.7
2034315.4303.9–323.9119.7103.1–133.4
2035316.3305.6–327.9122.8105.8–138.8
2036317.7305.2–326.2120.2105.5–136.2
2037318.1306.6–325.2121.6106.3–139.4
2038319.3307.6–326.7126.5105.7–142.1
2039319.4307.7–326.7127.7110.5–147.1
2040318.5306.5–329124.2109.7–144.9
2041320.2308.3–328126108.4–141.5
2042320308.7–329.2128.5105.8–144.3
2043318.6306.6–327.8126.5111.8–144.3
2044321309–329.6125.9108.5–142.9
2045320.8308.6–329.8130.9117.5–148.6
2046322.8308.8–331131114.4–147.2
2047323.2308.8–333132.3116.1–145.4
2048322.3310.5–332.3129.9118.5–146.9
2049323.8311.6–334.1127.9108.7–143.9
2050323.3310.3–333.5133.3114.3–147
2051323.6311.2–334.4130.3116.7–143.9
2052325.1311.7–334.7130.3119.9–143.5
2053323.9310.9–333.8135120.4–149.7
2054324.4311.9–335.4134.1118.8–149.3
2055325.3312.6–335134.1115.2–150.3
2056325.9312.4–337.2136110.1–151.1
2057326.9311.9–335.2132.7110.9–155
2058326.4313–336.3135.7119.1–155.4
2059326.4313.9–337.8138.8118.5–156.7
2060329.5314.9–338.2136.1116.3–159.2
2061327.9313.6–336.9136119–150.7
2062327.6312.4–339.1139118.7–156
2063327.6313.9–339.4137.4120.1–151.2
2064328.8314.4–338.6139.3121–154.3
2065327.6314.3–337.9139.6122.3–154.3
2066328.6314.7–338.5137.3119.6–153.7
2067328.8314.3–338142.8126–157.8
2068329.8314.4–339.9141.2122.8–156.4
2069329.5315.5–339.3141.5123.7–157.6
2070328.6315.1–338.8141.8120.5–157.5
2071331.4315.5–340.4142.9124.3–161.8
2072330.3315.9–339.4144.3127–158.5
2073331.4317.7–341143.6127.3–159.2
2074329.9316.8–341.1138.8123–162.2
2075330.5315.2–340.2138.1120.8–154.6
2076331.5316.2–341.2143.2126.8–161.5
2077332315.9–341.8142.8120.5–161.6
2078331.4318.2–340.9143.6128.2–160.6
2079331.5316.6–341.5148.6123.7–160.2
2080332.4317.4–343.2145.5123.5–163.7
2081332.3318.4–341.8143.7128.1–161.2
2082332.8317.8–340.4145.8129.5–160.6
2083333.1318.7–342.6149.4126–163.1
2084333317.8–342.7148128.2–164
2085332.6318.1–342.7149127.9–162.4
2086333.1318.9–342.3148127.4–167.1
2087332.6318–343.2146.4123.7–165.7
2088334.5319.5–343.1147.6133.5–165.3
2089333.6319–342.6148.4131.4–169.1
2090333.3319.6–343.3147.6132.4–168.8
2091334.5318.2–343.9151.9131.7–170.6
2092335.1319.7–343.6148.2132–167.4
2093333.9320–344.9154.1135.3–172.2
2094335.6320.4–342.8153.2133.6–170.3
2095335.4319.7–343148.2131.4–164.1
2096334.3319.4–346.1150.5130.5–172.6
2097334.2319.5–343.3149.8134.4–172.7
2098334.9319.4–343.4150.9131.3–170.1
2099334.4319.4–344.6149.5129–166.6
2100334.7318.7–343.3149.4130.1–168.5

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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