Brazil vs Guyana

Brazil vs Guyana: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 339.5 nights in Guyana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guyana, by 57.5 nights, or 1.2 times that in Brazil.

Watch it change on the map

nights a year · CMIP6

Brazil vs Guyana: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 339.5 nights in Guyana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guyana, by 57.5 nights, or 1.2 times that in Brazil.
BrazilGuyanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guyana 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 Guyana at 361.4 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilGuyana
2014282339.5
2013282.5339.7
2012283.6340.6
2011281.8338.5
2010280.2338
2009279.2338.1
2008277.8337.5
2007275.9334.7
2006275.4336
2005275.8336.7
2004278.5337.9
2003276.7335.8
2002276.2336
2001277.7337.8
2000273.3333.5
1999271333.8
1998273.6333.2
1997270.9332.9
1996264.7329.9
1995263.8329.4
1994263.6327.6
1993258.3325.4
1992252.8323.4
1991269.7332.2
1990272.5333
1989267.1328.5
1988264.7330
1987265.9329
1986265.7328.4
1985260.6325.3
1984261.1324.6
1983255.9321.5
1982264.8327.5
1981265.3327.7
1980262326.5
1979261.2325.8
1978259.7325.9
1977261.8326.1
1976258.4322.8
1975252.4319
1974258.7324.1
1973261324.8
1972258.1322.8
1971256.5323.8
1970254.5322.8
1969255.1321.8
1968254.9320
1967250.3317.5
1966254.5318.3
1965250.8318.9
1964246.2316.5
1963241.9315.4
1962257.9323.6
1961258.2324.4
1960260.3325.6
1959255.7322.3
1958258.1325.2
1957256.6323.6
1956251.2320.2
1955257.2324
1954258324.3
1953255.2323.3
1952255.8323.9
1951256.3323.2
1950254.4323.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilGuyana
2015284257.6–299.5342.5323.8–350.6
2016281.5261.4–296.3340.9324.8–349.8
2017284.1263.2–297.8343.8329.7–350.3
2018283.4263.1–298.8343.5330.7–350.7
2019283.7262.9–302.4342.3329.1–351.6
2020286.3264.2–303.6344.6329.7–352.5
2021287.9266.9–302.3345.3333.3–351.6
2022289.6270.7–303.9346.9332.5–355
2023287.3270.5–303345.1332.9–353.2
2024291.5268.2–304.6347.8337.1–355.4
2025289.6269.1–304.8346.8335.8–355.8
2026289.7266.2–305.1346.5334.2–355.6
2027289.5269.1–303.7347.2333–355.8
2028291.2271.9–306349334.8–356.9
2029295.5276.3–309.6350334.8–356.6
2030292.2269.1–306.9348.1334.4–355.9
2031295.3274–308.9349.9337–357.4
2032296.8280.1–310.9351.7339.8–358.9
2033295.4273.3–308.5350.8339–357
2034294.3273.5–311.8349.4336.4–357.6
2035295.2274.4–310.9349.9338.8–359.1
2036295.1278.2–307.8350.8339.3–358.2
2037299.9283.7–311.3352.6341.6–357.6
2038299.6283.5–312.1353341.7–359.6
2039296.9279.9–311352.5340.9–358.4
2040298.5279.4–311.9351.9341.7–360.1
2041301.4282.2–314.1352.9342.2–359.2
2042300.6277.8–314.7352340.6–360.9
2043298.2279.8–312.7351.8341.4–359.6
2044300.3281.2–315.6351.3341.3–360.4
2045299.9279.7–313.1354342.9–359.6
2046302.8285.8–316.6354.9343.1–360.9
2047303.3285–316.4354.8344.3–361.2
2048304.4287.3–317.3356344–361.8
2049305.4288.4–318.5355.8345.4–360.8
2050303.9283.9–316.2354.9344.2–361.8
2051305.7287.5–317.5354.9342.9–362.2
2052305.9290.6–318.8356.1345.4–362.6
2053305.3285.9–317.5355.8343.8–361.4
2054306.1288.4–319.3356.4345.9–361.6
2055306.4290.8–319.8356.1346.7–362.5
2056306.7288.3–321.1356.5345–363.7
2057306.4287.6–321.1357.8344.5–362.3
2058309291–321.4357.6345.3–362.4
2059310.4290.7–322.8357.6346.9–363
2060311.6294.4–325.1358.3347.8–363.6
2061307.5290.3–321.2357.9347.5–362.7
2062309291.5–322.8358.4346.9–363
2063310.8290.6–322.8359.6347.2–362.9
2064309.6290.2–321.1358.1348.1–363.4
2065311.1291.6–323.1358.8347.2–363.5
2066312.2294.2–324.2359348.7–363.1
2067310.9291.5–323.3359347.7–362.7
2068311.5293–324.5359.8346.4–364
2069310.6292.2–323.6358.3347.8–363.5
2070312.7293–325.3358.3346.2–363.3
2071311.5292.1–323.9359.8347.8–363
2072313.3297.8–325.5360347.7–364.2
2073313.8298.6–327.2360.3347.8–364
2074311.4292.4–323.5359.2348.3–363.3
2075310.9291.5–324.5359.2348.1–363.4
2076314.2294.4–327.7359.9349.4–364.1
2077315.1295.6–326.8360.4349.2–363.8
2078314.9296.3–327.1360.5349.4–363.8
2079313292.8–326.8360.2349.8–363.8
2080311.9294.7–325.4360.5348.2–364.5
2081313.5295.5–325.6360.4349.4–363.6
2082315296.8–327.1360.7350.5–363.4
2083315.7295.3–328.7360.4349.8–363.9
2084316.6298.5–327.9361.3349.5–364.6
2085317.4299.3–329.8361.9350.6–363.9
2086315.8294–328360.7350.5–363.8
2087316.5297.9–328.5360.9349.3–363.9
2088315.6297.3–328.8361.3347.8–364.9
2089315296.6–327.9361.6351.2–364.1
2090316298.9–330.3361.2350.5–364.1
2091317298.1–330.6361.8349.9–364.1
2092317.6298.7–330.7361.4350.2–365.2
2093316.3297.5–328.6361.1351–364.3
2094316.4300.2–327.5361.4351.5–363.9
2095319299.8–330.7361.9351.8–364.4
2096317.7299.5–330.8362350.4–365.2
2097316.9297.8–329360.9351.9–363.8
2098318.6299.9–331.9361.8349.8–364.2
2099318.1300–330.2361.6348.6–364.2
2100317.3298.4–330.3361.4351.1–364.3

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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