Brazil vs Indonesia

Brazil vs Indonesia: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 24.5 nights, or 1.09 times that in Brazil.

Watch it change on the map

nights a year · CMIP6

Brazil vs Indonesia: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 24.5 nights, or 1.09 times that in Brazil.
BrazilIndonesiaCMIP6 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 Brazil at 317.3 nights and Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilIndonesia
2014282306.5
2013282.5306.4
2012283.6306.3
2011281.8304.6
2010280.2305.6
2009279.2303.9
2008277.8303.4
2007275.9302.8
2006275.4302.8
2005275.8303.1
2004278.5303.8
2003276.7301.9
2002276.2301.5
2001277.7302.5
2000273.3300.9
1999271300.4
1998273.6299.1
1997270.9297.9
1996264.7296.9
1995263.8296.7
1994263.6294.6
1993258.3291.6
1992252.8288.5
1991269.7297.5
1990272.5298.6
1989267.1296
1988264.7296.5
1987265.9295.6
1986265.7295.8
1985260.6292.8
1984261.1293.4
1983255.9290.1
1982264.8294.4
1981265.3294.8
1980262294.5
1979261.2294.1
1978259.7292.4
1977261.8293.4
1976258.4290.8
1975252.4290.7
1974258.7291.5
1973261293
1972258.1290.7
1971256.5291.2
1970254.5288.9
1969255.1290.4
1968254.9289.1
1967250.3288.4
1966254.5290.5
1965250.8288.1
1964246.2286.2
1963241.9286.4
1962257.9291.2
1961258.2292.9
1960260.3292.8
1959255.7291.9
1958258.1293.3
1957256.6290.8
1956251.2291.5
1955257.2292.4
1954258290
1953255.2291.4
1952255.8291.7
1951256.3291.7
1950254.4291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilIndonesia
2015284257.6–299.5308295.7–315.1
2016281.5261.4–296.3307.5296.9–315.6
2017284.1263.2–297.8308.4295.5–315.6
2018283.4263.1–298.8308.9296.4–316.6
2019283.7262.9–302.4309.9297.8–316.7
2020286.3264.2–303.6310.9299–318.6
2021287.9266.9–302.3310.4298.7–316.4
2022289.6270.7–303.9311.4300–319.6
2023287.3270.5–303311.4300.1–320.6
2024291.5268.2–304.6313.2302–321.2
2025289.6269.1–304.8312300.2–321.9
2026289.7266.2–305.1312.6299.9–322.8
2027289.5269.1–303.7312.7301–321.6
2028291.2271.9–306313.8302.4–321.9
2029295.5276.3–309.6315.5303.9–324.1
2030292.2269.1–306.9314.2303.1–322.6
2031295.3274–308.9314.4301.6–321.9
2032296.8280.1–310.9316.9304.8–325.8
2033295.4273.3–308.5316.6305.4–323.3
2034294.3273.5–311.8315.4303.9–323.9
2035295.2274.4–310.9316.3305.6–327.9
2036295.1278.2–307.8317.7305.2–326.2
2037299.9283.7–311.3318.1306.6–325.2
2038299.6283.5–312.1319.3307.6–326.7
2039296.9279.9–311319.4307.7–326.7
2040298.5279.4–311.9318.5306.5–329
2041301.4282.2–314.1320.2308.3–328
2042300.6277.8–314.7320308.7–329.2
2043298.2279.8–312.7318.6306.6–327.8
2044300.3281.2–315.6321309–329.6
2045299.9279.7–313.1320.8308.6–329.8
2046302.8285.8–316.6322.8308.8–331
2047303.3285–316.4323.2308.8–333
2048304.4287.3–317.3322.3310.5–332.3
2049305.4288.4–318.5323.8311.6–334.1
2050303.9283.9–316.2323.3310.3–333.5
2051305.7287.5–317.5323.6311.2–334.4
2052305.9290.6–318.8325.1311.7–334.7
2053305.3285.9–317.5323.9310.9–333.8
2054306.1288.4–319.3324.4311.9–335.4
2055306.4290.8–319.8325.3312.6–335
2056306.7288.3–321.1325.9312.4–337.2
2057306.4287.6–321.1326.9311.9–335.2
2058309291–321.4326.4313–336.3
2059310.4290.7–322.8326.4313.9–337.8
2060311.6294.4–325.1329.5314.9–338.2
2061307.5290.3–321.2327.9313.6–336.9
2062309291.5–322.8327.6312.4–339.1
2063310.8290.6–322.8327.6313.9–339.4
2064309.6290.2–321.1328.8314.4–338.6
2065311.1291.6–323.1327.6314.3–337.9
2066312.2294.2–324.2328.6314.7–338.5
2067310.9291.5–323.3328.8314.3–338
2068311.5293–324.5329.8314.4–339.9
2069310.6292.2–323.6329.5315.5–339.3
2070312.7293–325.3328.6315.1–338.8
2071311.5292.1–323.9331.4315.5–340.4
2072313.3297.8–325.5330.3315.9–339.4
2073313.8298.6–327.2331.4317.7–341
2074311.4292.4–323.5329.9316.8–341.1
2075310.9291.5–324.5330.5315.2–340.2
2076314.2294.4–327.7331.5316.2–341.2
2077315.1295.6–326.8332315.9–341.8
2078314.9296.3–327.1331.4318.2–340.9
2079313292.8–326.8331.5316.6–341.5
2080311.9294.7–325.4332.4317.4–343.2
2081313.5295.5–325.6332.3318.4–341.8
2082315296.8–327.1332.8317.8–340.4
2083315.7295.3–328.7333.1318.7–342.6
2084316.6298.5–327.9333317.8–342.7
2085317.4299.3–329.8332.6318.1–342.7
2086315.8294–328333.1318.9–342.3
2087316.5297.9–328.5332.6318–343.2
2088315.6297.3–328.8334.5319.5–343.1
2089315296.6–327.9333.6319–342.6
2090316298.9–330.3333.3319.6–343.3
2091317298.1–330.6334.5318.2–343.9
2092317.6298.7–330.7335.1319.7–343.6
2093316.3297.5–328.6333.9320–344.9
2094316.4300.2–327.5335.6320.4–342.8
2095319299.8–330.7335.4319.7–343
2096317.7299.5–330.8334.3319.4–346.1
2097316.9297.8–329334.2319.5–343.3
2098318.6299.9–331.9334.9319.4–343.4
2099318.1300–330.2334.4319.4–344.6
2100317.3298.4–330.3334.7318.7–343.3

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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