Brazil vs Venezuela

Brazil vs Venezuela: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 19.6 nights, or 1.07 times that in Brazil.

nights a year · CMIP6

Brazil vs Venezuela: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 19.6 nights, or 1.07 times that in Brazil.
BrazilVenezuelaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Venezuela 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 Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilVenezuela
2014282301.6
2013282.5302
2012283.6303.7
2011281.8301.3
2010280.2300.3
2009279.2300
2008277.8298.4
2007275.9296.4
2006275.4296.8
2005275.8296.8
2004278.5299.4
2003276.7295.2
2002276.2296.3
2001277.7298.7
2000273.3292.3
1999271291.6
1998273.6291.4
1997270.9290.5
1996264.7286.8
1995263.8285.4
1994263.6282.3
1993258.3279.5
1992252.8274.7
1991269.7289.7
1990272.5291.4
1989267.1283.8
1988264.7284.2
1987265.9284.2
1986265.7284.4
1985260.6278.3
1984261.1279.8
1983255.9274.3
1982264.8280.8
1981265.3283.4
1980262280.5
1979261.2281.1
1978259.7278.7
1977261.8281.2
1976258.4276.6
1975252.4272.3
1974258.7277.7
1973261278.9
1972258.1275.9
1971256.5276.5
1970254.5275.6
1969255.1275.6
1968254.9273.2
1967250.3271.5
1966254.5273.1
1965250.8272.1
1964246.2270.3
1963241.9268.9
1962257.9276.8
1961258.2278.6
1960260.3279.9
1959255.7276.1
1958258.1280.9
1957256.6277.6
1956251.2275.1
1955257.2277.7
1954258277.5
1953255.2277.3
1952255.8278.4
1951256.3277.5
1950254.4275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilVenezuela
2015284257.6–299.5306.4280.3–320.1
2016281.5261.4–296.3303.9282.3–316.9
2017284.1263.2–297.8308.5288.7–319.9
2018283.4263.1–298.8307.6289.9–320.7
2019283.7262.9–302.4306.7288.7–321.7
2020286.3264.2–303.6310.2287.9–323.6
2021287.9266.9–302.3311.3295.3–324.1
2022289.6270.7–303.9314.4295–326.3
2023287.3270.5–303311.5294.4–326.5
2024291.5268.2–304.6316298.2–327.4
2025289.6269.1–304.8313.8294.2–329.5
2026289.7266.2–305.1314290.3–329.4
2027289.5269.1–303.7315.6292.6–328.8
2028291.2271.9–306317.7296.4–332.1
2029295.5276.3–309.6319.3296.9–332
2030292.2269.1–306.9317.7295–328.5
2031295.3274–308.9320.1295.9–331.8
2032296.8280.1–310.9321.4304.7–335
2033295.4273.3–308.5320.6301.8–331.2
2034294.3273.5–311.8318.1298.1–335
2035295.2274.4–310.9319.3302.3–335.9
2036295.1278.2–307.8320.5305.3–332.3
2037299.9283.7–311.3324.1307.2–334.1
2038299.6283.5–312.1325.8309.6–336.2
2039296.9279.9–311324.3307.9–335.8
2040298.5279.4–311.9323.5307.5–338.7
2041301.4282.2–314.1325.3309.6–336.6
2042300.6277.8–314.7324.8305.5–341.2
2043298.2279.8–312.7324.2307.1–337.7
2044300.3281.2–315.6324.1306.3–339.8
2045299.9279.7–313.1327.5309.7–338.6
2046302.8285.8–316.6329.6310.8–340.5
2047303.3285–316.4329.5313.9–341.5
2048304.4287.3–317.3331.2313.7–342.8
2049305.4288.4–318.5332.3314.9–340.5
2050303.9283.9–316.2330.9311.8–343.6
2051305.7287.5–317.5330.7310.1–344
2052305.9290.6–318.8332.4316.6–343.5
2053305.3285.9–317.5330.6312.7–343.6
2054306.1288.4–319.3331.9313.8–344.6
2055306.4290.8–319.8333317–345.8
2056306.7288.3–321.1332.7313.1–347.7
2057306.4287.6–321.1334.2315.2–345.3
2058309291–321.4333.5314.3–346.2
2059310.4290.7–322.8335.6317.1–348.3
2060311.6294.4–325.1337.4319.4–349
2061307.5290.3–321.2335.3317.3–347.2
2062309291.5–322.8335.9315–348.4
2063310.8290.6–322.8338317.5–347.9
2064309.6290.2–321.1336.3319.9–347.5
2065311.1291.6–323.1336.8319.9–349
2066312.2294.2–324.2337.9320.9–349.1
2067310.9291.5–323.3337.5317.9–348.2
2068311.5293–324.5339.3317.4–349.4
2069310.6292.2–323.6336.5318.1–349
2070312.7293–325.3336.4319.5–349.1
2071311.5292.1–323.9338.9319.1–349.1
2072313.3297.8–325.5340321.8–350.6
2073313.8298.6–327.2340.3322.9–351.4
2074311.4292.4–323.5338.9319.1–349.5
2075310.9291.5–324.5339.5318.1–349.2
2076314.2294.4–327.7339.8322.6–350.2
2077315.1295.6–326.8340.3322.1–351
2078314.9296.3–327.1340.2323–351
2079313292.8–326.8340.1320.9–351.4
2080311.9294.7–325.4341.4320.2–351.6
2081313.5295.5–325.6340.7322.5–351.3
2082315296.8–327.1341.6323.9–350.1
2083315.7295.3–328.7341.7323.3–353
2084316.6298.5–327.9343.3321.3–352.4
2085317.4299.3–329.8344.7322.8–353.5
2086315.8294–328341.4322.6–352.2
2087316.5297.9–328.5342.5322.4–352.2
2088315.6297.3–328.8342.9322.8–353.6
2089315296.6–327.9342.3324.8–353.1
2090316298.9–330.3341.9325.2–352.9
2091317298.1–330.6344.3323.4–353.3
2092317.6298.7–330.7344.3324.9–354.2
2093316.3297.5–328.6343324.8–353.6
2094316.4300.2–327.5343.9326.6–352.8
2095319299.8–330.7345.4325.4–354.5
2096317.7299.5–330.8343.7326–355.2
2097316.9297.8–329343.5324.6–351.9
2098318.6299.9–331.9344.5326.1–354.4
2099318.1300–330.2344.6324.8–353.8
2100317.3298.4–330.3345328.4–353.9

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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