Brazil vs Haiti

Brazil vs Haiti: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 16.9 nights, or 1.06 times that in Brazil.

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nights a year · CMIP6

Brazil vs Haiti: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 16.9 nights, or 1.06 times that in Brazil.
BrazilHaitiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Haiti 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 Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilHaiti
2014282298.9
2013282.5301.1
2012283.6301.5
2011281.8301
2010280.2298.6
2009279.2298.7
2008277.8296.4
2007275.9293.6
2006275.4294.2
2005275.8295.3
2004278.5298
2003276.7295.4
2002276.2295.6
2001277.7296
2000273.3291
1999271290.8
1998273.6291.4
1997270.9288
1996264.7287
1995263.8283.1
1994263.6282.6
1993258.3278.8
1992252.8277.7
1991269.7286.2
1990272.5291.1
1989267.1286.3
1988264.7282.7
1987265.9282.9
1986265.7281
1985260.6277.9
1984261.1277.7
1983255.9276.1
1982264.8280.4
1981265.3281.3
1980262280.2
1979261.2280.2
1978259.7277.8
1977261.8280.4
1976258.4276
1975252.4275.1
1974258.7278.1
1973261278.3
1972258.1276.6
1971256.5275.5
1970254.5272.2
1969255.1275.5
1968254.9274.5
1967250.3275
1966254.5277.8
1965250.8274.1
1964246.2274.8
1963241.9274.2
1962257.9278.6
1961258.2278.2
1960260.3278.2
1959255.7278.6
1958258.1281.6
1957256.6278
1956251.2277.9
1955257.2280.7
1954258277.6
1953255.2276.8
1952255.8279.7
1951256.3277.9
1950254.4276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilHaiti
2015284257.6–299.5305.5285.9–322.7
2016281.5261.4–296.3306288.9–319.7
2017284.1263.2–297.8307.5292–322.8
2018283.4263.1–298.8308.8294.3–322.5
2019283.7262.9–302.4307.1290.7–322.4
2020286.3264.2–303.6307.4293.2–321.3
2021287.9266.9–302.3311.8296.6–324.5
2022289.6270.7–303.9312.1298–329.1
2023287.3270.5–303311.6297.9–324.7
2024291.5268.2–304.6312.3294.2–326.9
2025289.6269.1–304.8314.6291.3–328.7
2026289.7266.2–305.1316.3297.5–332.3
2027289.5269.1–303.7316.4293.9–332.7
2028291.2271.9–306316.4299.6–334.9
2029295.5276.3–309.6316.5298.3–333.6
2030292.2269.1–306.9314.8301.6–331.6
2031295.3274–308.9317.8303.5–333.7
2032296.8280.1–310.9321.4303.7–333.1
2033295.4273.3–308.5319.5302–332.4
2034294.3273.5–311.8319.5298.9–337.1
2035295.2274.4–310.9322.6304.3–335.1
2036295.1278.2–307.8321.3304.1–335.4
2037299.9283.7–311.3325310.6–336
2038299.6283.5–312.1322305.4–338.2
2039296.9279.9–311322.3305.5–339.8
2040298.5279.4–311.9324.1309.7–338.7
2041301.4282.2–314.1323.8310.9–339.7
2042300.6277.8–314.7325307.1–339.2
2043298.2279.8–312.7325.4306.3–339.9
2044300.3281.2–315.6326.8308.2–345.7
2045299.9279.7–313.1327312.5–341.6
2046302.8285.8–316.6330.7312.9–342.1
2047303.3285–316.4327.3313.3–343.2
2048304.4287.3–317.3331.4313.9–344.2
2049305.4288.4–318.5333.3314.4–344.6
2050303.9283.9–316.2331.2312.1–348
2051305.7287.5–317.5331.4314–342.3
2052305.9290.6–318.8331.5314.8–346
2053305.3285.9–317.5332.8314.2–342.8
2054306.1288.4–319.3331.7315.8–348.4
2055306.4290.8–319.8331.2317.8–348.8
2056306.7288.3–321.1330317.4–348.3
2057306.4287.6–321.1335.7314–347.6
2058309291–321.4335.3316.4–350.6
2059310.4290.7–322.8336.7319.6–349
2060311.6294.4–325.1337.6318.4–350
2061307.5290.3–321.2336.4318.8–349.6
2062309291.5–322.8336.1317.5–349.7
2063310.8290.6–322.8338320.8–354
2064309.6290.2–321.1336.6319.4–350.9
2065311.1291.6–323.1335.5318.9–349
2066312.2294.2–324.2338.8321.1–351.7
2067310.9291.5–323.3337.2317.8–350.8
2068311.5293–324.5340.4321.9–353.8
2069310.6292.2–323.6337.2320.2–351.6
2070312.7293–325.3339.5319.8–351.4
2071311.5292.1–323.9339.8320.1–353.6
2072313.3297.8–325.5342.6319.9–353.2
2073313.8298.6–327.2340.9320.2–353.6
2074311.4292.4–323.5340.9324.7–353.4
2075310.9291.5–324.5338.8321.7–353.5
2076314.2294.4–327.7344.1322–355.4
2077315.1295.6–326.8340.8321.6–354
2078314.9296.3–327.1340.6325.1–354.5
2079313292.8–326.8341.6323.7–354.4
2080311.9294.7–325.4340.3322.6–354.3
2081313.5295.5–325.6340322.6–353.4
2082315296.8–327.1342.4326.5–353.5
2083315.7295.3–328.7342.2326.4–352.5
2084316.6298.5–327.9345.5326.2–354.6
2085317.4299.3–329.8344325–355.4
2086315.8294–328344.9326.6–355.1
2087316.5297.9–328.5342.6322.5–354.4
2088315.6297.3–328.8342.5328.2–356.1
2089315296.6–327.9345.8326.6–358
2090316298.9–330.3343.2328.2–355.8
2091317298.1–330.6344.7323.1–357.7
2092317.6298.7–330.7346.5326.6–356.5
2093316.3297.5–328.6341.4324.8–356.7
2094316.4300.2–327.5341.4327.9–355.8
2095319299.8–330.7345.6326.2–356.1
2096317.7299.5–330.8344327.2–358.3
2097316.9297.8–329344.2330–356.7
2098318.6299.9–331.9343.8324.3–358.4
2099318.1300–330.2346.6323.1–358.1
2100317.3298.4–330.3346.8326.2–356.3

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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