Brazil vs Cuba

Brazil vs Cuba: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 27.7 nights, or 1.1 times that in Brazil.

nights a year · CMIP6

Brazil vs Cuba: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 27.7 nights, or 1.1 times that in Brazil.
BrazilCubaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cuba 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 Cuba at 346 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilCuba
2014282309.7
2013282.5315.2
2012283.6312
2011281.8312.1
2010280.2313
2009279.2308.8
2008277.8309.3
2007275.9308.5
2006275.4309.9
2005275.8309.1
2004278.5309.3
2003276.7304.6
2002276.2310.4
2001277.7304.8
2000273.3308.1
1999271304.4
1998273.6304.9
1997270.9299.8
1996264.7298
1995263.8295.1
1994263.6297.3
1993258.3294.5
1992252.8295.7
1991269.7299.1
1990272.5302
1989267.1298.1
1988264.7298.3
1987265.9294
1986265.7293.6
1985260.6297.4
1984261.1289.4
1983255.9292.2
1982264.8294
1981265.3293.6
1980262295.8
1979261.2295.1
1978259.7290.9
1977261.8289.3
1976258.4293.4
1975252.4289
1974258.7291.6
1973261291.2
1972258.1289.4
1971256.5286.5
1970254.5283.3
1969255.1287.2
1968254.9290.6
1967250.3289.9
1966254.5290.7
1965250.8284.8
1964246.2287.7
1963241.9288.9
1962257.9292.9
1961258.2292.2
1960260.3293.3
1959255.7292.7
1958258.1291.6
1957256.6292
1956251.2294.6
1955257.2293.4
1954258289.5
1953255.2289.2
1952255.8290.9
1951256.3292.1
1950254.4292.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilCuba
2015284257.6–299.5315.1292.1–332.6
2016281.5261.4–296.3317.9302.7–334.8
2017284.1263.2–297.8317304–329.5
2018283.4263.1–298.8319.5301–334.2
2019283.7262.9–302.4317.6297.3–336.1
2020286.3264.2–303.6319.5296.6–334.3
2021287.9266.9–302.3320.6301.8–335.1
2022289.6270.7–303.9318.2303.4–331.8
2023287.3270.5–303322.4302.9–336.9
2024291.5268.2–304.6320.1297.1–341.5
2025289.6269.1–304.8319.6297.1–334.8
2026289.7266.2–305.1327.3300.6–343.1
2027289.5269.1–303.7328.7307.3–344.9
2028291.2271.9–306327.5306.8–343.5
2029295.5276.3–309.6326.5309–340.3
2030292.2269.1–306.9328.8305–342.3
2031295.3274–308.9328.6308.6–343.5
2032296.8280.1–310.9332.1308.4–344.7
2033295.4273.3–308.5328.3305.5–342.9
2034294.3273.5–311.8329.4308.9–346.2
2035295.2274.4–310.9325.7307.3–342.4
2036295.1278.2–307.8329307–341.7
2037299.9283.7–311.3332.6311.4–346.9
2038299.6283.5–312.1331.4313–345.1
2039296.9279.9–311328305.6–345.9
2040298.5279.4–311.9328.8309–347.6
2041301.4282.2–314.1331.4307.4–344.3
2042300.6277.8–314.7331.6309.6–345.1
2043298.2279.8–312.7332.1311–348.9
2044300.3281.2–315.6335.1315.6–348.6
2045299.9279.7–313.1336.3317.6–348.6
2046302.8285.8–316.6328.7309–349.2
2047303.3285–316.4334.4316.3–350.1
2048304.4287.3–317.3335.2316.3–349.1
2049305.4288.4–318.5339.5317–350.8
2050303.9283.9–316.2338.7316.7–350.6
2051305.7287.5–317.5337.4313.8–349.8
2052305.9290.6–318.8331311.8–349.4
2053305.3285.9–317.5339.5314.6–351.2
2054306.1288.4–319.3338.4322.5–348.7
2055306.4290.8–319.8336.9318.7–350.1
2056306.7288.3–321.1338.1320.4–351.5
2057306.4287.6–321.1340.6316.7–351.1
2058309291–321.4340.8322.3–351.7
2059310.4290.7–322.8334.6319.6–349.6
2060311.6294.4–325.1340.7320.6–352.9
2061307.5290.3–321.2337.9324.8–351.5
2062309291.5–322.8340.1323.4–351
2063310.8290.6–322.8340.9316.3–354.4
2064309.6290.2–321.1341315.6–353.1
2065311.1291.6–323.1340.3319.5–352
2066312.2294.2–324.2339.5319.3–352.1
2067310.9291.5–323.3342.1324.2–351.9
2068311.5293–324.5344.3320.4–354.8
2069310.6292.2–323.6342.8323.8–355.6
2070312.7293–325.3344.4322.1–356.2
2071311.5292.1–323.9345326.4–354.8
2072313.3297.8–325.5345318.5–356.3
2073313.8298.6–327.2343.1321.4–355.1
2074311.4292.4–323.5342.9325.4–354.5
2075310.9291.5–324.5341.8319.7–353.7
2076314.2294.4–327.7344.9323.6–356.2
2077315.1295.6–326.8342320.4–351.9
2078314.9296.3–327.1345324.3–355.7
2079313292.8–326.8343.3323.8–356
2080311.9294.7–325.4344.9328.1–358.4
2081313.5295.5–325.6342.7326–353.6
2082315296.8–327.1344.9329.8–355.4
2083315.7295.3–328.7343.8321.8–354.5
2084316.6298.5–327.9344328.8–356.5
2085317.4299.3–329.8346.4322.1–356.6
2086315.8294–328342.6316.5–352.9
2087316.5297.9–328.5345.5325.6–356.7
2088315.6297.3–328.8346.5325.1–358.5
2089315296.6–327.9347.8327.2–357.7
2090316298.9–330.3346.9334.4–356.8
2091317298.1–330.6346.9330.1–357.1
2092317.6298.7–330.7346.6327–356
2093316.3297.5–328.6345.4326.9–356.3
2094316.4300.2–327.5347326.3–357.7
2095319299.8–330.7343.9329.1–355.1
2096317.7299.5–330.8344326.6–356.1
2097316.9297.8–329346.7329.2–355.1
2098318.6299.9–331.9347.2326.3–356.6
2099318.1300–330.2345.5327.5–357.7
2100317.3298.4–330.3346329.4–356.1

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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