Brazil vs Ireland

Brazil vs Ireland: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 282 nights.

Watch it change on the map

nights a year · CMIP6

Brazil vs Ireland: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 282 nights.
BrazilIrelandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil 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 Ireland at 0 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilIreland
20142820
2013282.50
2012283.60
2011281.80
2010280.20
2009279.20
2008277.80
2007275.90
2006275.40
2005275.80
2004278.50
2003276.70
2002276.20
2001277.70
2000273.30
19992710
1998273.60
1997270.90
1996264.70
1995263.80
1994263.60
1993258.30
1992252.80
1991269.70
1990272.50
1989267.10
1988264.70
1987265.90
1986265.70
1985260.60
1984261.10
1983255.90
1982264.80
1981265.30
19802620
1979261.20
1978259.70
1977261.80
1976258.40
1975252.40
1974258.70
19732610
1972258.10
1971256.50
1970254.50
1969255.10
1968254.90
1967250.30
1966254.50
1965250.80
1964246.20
1963241.90
1962257.90
1961258.20
1960260.30
1959255.70
1958258.10
1957256.60
1956251.20
1955257.20
19542580
1953255.20
1952255.80
1951256.30
1950254.40
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilIreland
2015284257.6–299.500–0
2016281.5261.4–296.300–0
2017284.1263.2–297.800–0
2018283.4263.1–298.800–0
2019283.7262.9–302.400–0
2020286.3264.2–303.600–0
2021287.9266.9–302.300–0
2022289.6270.7–303.900–0
2023287.3270.5–30300–0
2024291.5268.2–304.600–0
2025289.6269.1–304.800–0
2026289.7266.2–305.100–0
2027289.5269.1–303.700–0
2028291.2271.9–30600–0
2029295.5276.3–309.600–0
2030292.2269.1–306.900–0
2031295.3274–308.900–0
2032296.8280.1–310.900–0
2033295.4273.3–308.500–0
2034294.3273.5–311.800–0
2035295.2274.4–310.900–0
2036295.1278.2–307.800–0
2037299.9283.7–311.300–0
2038299.6283.5–312.100–0
2039296.9279.9–31100–0
2040298.5279.4–311.900–0.1
2041301.4282.2–314.100–0
2042300.6277.8–314.700–0
2043298.2279.8–312.700–0
2044300.3281.2–315.600–0
2045299.9279.7–313.100–0
2046302.8285.8–316.600–0
2047303.3285–316.400–0
2048304.4287.3–317.300–0
2049305.4288.4–318.500–0.1
2050303.9283.9–316.200–0
2051305.7287.5–317.500–0.1
2052305.9290.6–318.800–0.1
2053305.3285.9–317.500–0
2054306.1288.4–319.300–0.1
2055306.4290.8–319.800–0
2056306.7288.3–321.100–0
2057306.4287.6–321.100–0.2
2058309291–321.400–0.3
2059310.4290.7–322.800–0
2060311.6294.4–325.100–0.3
2061307.5290.3–321.200–0.1
2062309291.5–322.800–0.1
2063310.8290.6–322.800–0.2
2064309.6290.2–321.100–0
2065311.1291.6–323.100–0.2
2066312.2294.2–324.200–0
2067310.9291.5–323.300–0.5
2068311.5293–324.500–0.1
2069310.6292.2–323.600–0.1
2070312.7293–325.300–0.1
2071311.5292.1–323.900–0.1
2072313.3297.8–325.500–0
2073313.8298.6–327.200–0.6
2074311.4292.4–323.500–0.2
2075310.9291.5–324.500–0.1
2076314.2294.4–327.700–0.6
2077315.1295.6–326.800–0.1
2078314.9296.3–327.100–0.7
2079313292.8–326.800–0.1
2080311.9294.7–325.400–0
2081313.5295.5–325.600–0.1
2082315296.8–327.100–0.3
2083315.7295.3–328.700–0.1
2084316.6298.5–327.900–0
2085317.4299.3–329.800–0.1
2086315.8294–32800–1.2
2087316.5297.9–328.500–1.1
2088315.6297.3–328.800–0.2
2089315296.6–327.900–0.4
2090316298.9–330.300–0.1
2091317298.1–330.600–0.4
2092317.6298.7–330.700–0.3
2093316.3297.5–328.600–0.2
2094316.4300.2–327.500–0.3
2095319299.8–330.700–0.6
2096317.7299.5–330.800–0.6
2097316.9297.8–32900–0.6
2098318.6299.9–331.900–0.9
2099318.1300–330.200–0.6
2100317.3298.4–330.300–0.2

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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