Brazil vs Singapore

Brazil vs Singapore: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 365 nights in Singapore, in the CMIP6 climate models’ median run. In 2014 the value was higher in Singapore, by 83 nights, or 1.29 times that in Brazil.

nights a year · CMIP6

Brazil vs Singapore: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 365 nights in Singapore, in the CMIP6 climate models’ median run. In 2014 the value was higher in Singapore, by 83 nights, or 1.29 times that in Brazil.
BrazilSingaporeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Singapore 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 Singapore at 365 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilSingapore
2014282365
2013282.5365
2012283.6365
2011281.8365
2010280.2365
2009279.2365
2008277.8365
2007275.9365
2006275.4365
2005275.8365
2004278.5365
2003276.7365
2002276.2365
2001277.7365
2000273.3365
1999271365
1998273.6365
1997270.9365
1996264.7365
1995263.8365
1994263.6365
1993258.3365
1992252.8365
1991269.7365
1990272.5365
1989267.1365
1988264.7365
1987265.9365
1986265.7365
1985260.6365
1984261.1365
1983255.9365
1982264.8365
1981265.3365
1980262365
1979261.2365
1978259.7365
1977261.8365
1976258.4365
1975252.4365
1974258.7365
1973261365
1972258.1365
1971256.5365
1970254.5365
1969255.1365
1968254.9365
1967250.3365
1966254.5365
1965250.8365
1964246.2365
1963241.9365
1962257.9365
1961258.2365
1960260.3365
1959255.7365
1958258.1365
1957256.6365
1956251.2365
1955257.2365
1954258365
1953255.2365
1952255.8365
1951256.3365
1950254.4365
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilSingapore
2015284257.6–299.5365360–365
2016281.5261.4–296.3365360–366
2017284.1263.2–297.8365360–365
2018283.4263.1–298.8365360–365
2019283.7262.9–302.4365360–365
2020286.3264.2–303.6365360–366
2021287.9266.9–302.3365360–365
2022289.6270.7–303.9365360–365
2023287.3270.5–303365360–365
2024291.5268.2–304.6365360–366
2025289.6269.1–304.8365360–365
2026289.7266.2–305.1365360–365
2027289.5269.1–303.7365360–365
2028291.2271.9–306365360–366
2029295.5276.3–309.6365360–365
2030292.2269.1–306.9365360–365
2031295.3274–308.9365360–365
2032296.8280.1–310.9365360–366
2033295.4273.3–308.5365360–365
2034294.3273.5–311.8365360–365
2035295.2274.4–310.9365360–365
2036295.1278.2–307.8365360–366
2037299.9283.7–311.3365360–365
2038299.6283.5–312.1365360–365
2039296.9279.9–311365360–365
2040298.5279.4–311.9365360–366
2041301.4282.2–314.1365360–365
2042300.6277.8–314.7365360–365
2043298.2279.8–312.7365360–365
2044300.3281.2–315.6365360–366
2045299.9279.7–313.1365360–365
2046302.8285.8–316.6365360–365
2047303.3285–316.4365360–365
2048304.4287.3–317.3365360–366
2049305.4288.4–318.5365360–365
2050303.9283.9–316.2365360–365
2051305.7287.5–317.5365360–365
2052305.9290.6–318.8365360–366
2053305.3285.9–317.5365360–365
2054306.1288.4–319.3365360–365
2055306.4290.8–319.8365360–365
2056306.7288.3–321.1365360–366
2057306.4287.6–321.1365360–365
2058309291–321.4365360–365
2059310.4290.7–322.8365360–365
2060311.6294.4–325.1365360–366
2061307.5290.3–321.2365360–365
2062309291.5–322.8365360–365
2063310.8290.6–322.8365360–365
2064309.6290.2–321.1365360–366
2065311.1291.6–323.1365360–365
2066312.2294.2–324.2365360–365
2067310.9291.5–323.3365360–365
2068311.5293–324.5365360–366
2069310.6292.2–323.6365360–365
2070312.7293–325.3365360–365
2071311.5292.1–323.9365360–365
2072313.3297.8–325.5365360–366
2073313.8298.6–327.2365360–365
2074311.4292.4–323.5365360–365
2075310.9291.5–324.5365360–365
2076314.2294.4–327.7365360–366
2077315.1295.6–326.8365360–365
2078314.9296.3–327.1365360–365
2079313292.8–326.8365360–365
2080311.9294.7–325.4365360–366
2081313.5295.5–325.6365360–365
2082315296.8–327.1365360–365
2083315.7295.3–328.7365360–365
2084316.6298.5–327.9365360–366
2085317.4299.3–329.8365360–365
2086315.8294–328365360–365
2087316.5297.9–328.5365360–365
2088315.6297.3–328.8365360–366
2089315296.6–327.9365360–365
2090316298.9–330.3365360–365
2091317298.1–330.6365360–365
2092317.6298.7–330.7365360–366
2093316.3297.5–328.6365360–365
2094316.4300.2–327.5365360–365
2095319299.8–330.7365360–365
2096317.7299.5–330.8365360–366
2097316.9297.8–329365360–365
2098318.6299.9–331.9365360–365
2099318.1300–330.2365360–365
2100317.3298.4–330.3365360–365

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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