Brazil vs Colombia

Brazil vs Colombia: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 2.1 nights, or 1.01 times that in Colombia.

Watch it change on the map

nights a year · CMIP6

Brazil vs Colombia: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 2.1 nights, or 1.01 times that in Colombia.
BrazilColombiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher since 2010, when it overtook Colombia.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 317.3 nights and Colombia at 297.4 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilColombia
2014282279.9
2013282.5279.8
2012283.6280.7
2011281.8280
2010280.2279.1
2009279.2279.3
2008277.8278.4
2007275.9277.3
2006275.4277.5
2005275.8277.7
2004278.5278.2
2003276.7277.5
2002276.2277.3
2001277.7278
2000273.3276.2
1999271274.6
1998273.6275.2
1997270.9274.4
1996264.7271.2
1995263.8271.3
1994263.6270.4
1993258.3268
1992252.8264.7
1991269.7273.9
1990272.5275.6
1989267.1271.9
1988264.7270.3
1987265.9271.8
1986265.7271.4
1985260.6268.4
1984261.1268.2
1983255.9265.1
1982264.8269.2
1981265.3272.1
1980262270.2
1979261.2269.3
1978259.7268.3
1977261.8269.6
1976258.4266.1
1975252.4261.6
1974258.7266.6
1973261269.9
1972258.1266.6
1971256.5265.7
1970254.5265.4
1969255.1266
1968254.9264.6
1967250.3261.7
1966254.5263.7
1965250.8263.2
1964246.2260.3
1963241.9254.8
1962257.9266.7
1961258.2267
1960260.3268.6
1959255.7265.5
1958258.1268
1957256.6267.4
1956251.2263.3
1955257.2267.7
1954258267.2
1953255.2267.9
1952255.8268.1
1951256.3267.2
1950254.4266.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilColombia
2015284257.6–299.5280.4265.9–286.4
2016281.5261.4–296.3279.9267.9–285.6
2017284.1263.2–297.8281.7270.6–286.3
2018283.4263.1–298.8281.5271.8–286.3
2019283.7262.9–302.4281.1269.5–286.9
2020286.3264.2–303.6282.1270.6–287.9
2021287.9266.9–302.3283.2273.9–287.8
2022289.6270.7–303.9283.7273.6–288.5
2023287.3270.5–303282.6274.2–288.8
2024291.5268.2–304.6284.7274.7–289.8
2025289.6269.1–304.8283.5273.3–289.7
2026289.7266.2–305.1283.4272.7–289.7
2027289.5269.1–303.7283.9273.4–289.2
2028291.2271.9–306285275.1–290.7
2029295.5276.3–309.6285.8276–290.3
2030292.2269.1–306.9284.2273.4–289.8
2031295.3274–308.9285.8274.8–291.2
2032296.8280.1–310.9286.7278.3–292.6
2033295.4273.3–308.5285.7274.7–290.3
2034294.3273.5–311.8285275.8–292.8
2035295.2274.4–310.9285.9277.3–292
2036295.1278.2–307.8286276.9–291.6
2037299.9283.7–311.3287.5279.3–291.9
2038299.6283.5–312.1288279.7–292.4
2039296.9279.9–311287.6278.8–292.7
2040298.5279.4–311.9287.6279.3–294.5
2041301.4282.2–314.1288.2279.9–292.7
2042300.6277.8–314.7288.2278.3–295
2043298.2279.8–312.7287.7277.7–293.4
2044300.3281.2–315.6287.8278.5–295.1
2045299.9279.7–313.1288.8280.5–293.9
2046302.8285.8–316.6290.4281–295.5
2047303.3285–316.4289.9280.6–294.6
2048304.4287.3–317.3290.7281.4–296.8
2049305.4288.4–318.5290.9282–295.3
2050303.9283.9–316.2290.1280.8–296
2051305.7287.5–317.5290.6280.9–295.7
2052305.9290.6–318.8290.9281.9–296.7
2053305.3285.9–317.5290.5280.8–296.3
2054306.1288.4–319.3290.8281.3–297.2
2055306.4290.8–319.8291.1282.6–298
2056306.7288.3–321.1291.5281.5–298.6
2057306.4287.6–321.1291.5281.2–297.3
2058309291–321.4291.8281.7–298.9
2059310.4290.7–322.8292.8282–299.2
2060311.6294.4–325.1293.2283–300.1
2061307.5290.3–321.2292.2281.9–298.7
2062309291.5–322.8292.6282.4–299.7
2063310.8290.6–322.8293.6282.3–298.6
2064309.6290.2–321.1292.7282.9–299.1
2065311.1291.6–323.1293.8283.6–299.4
2066312.2294.2–324.2293.1283.4–299.8
2067310.9291.5–323.3292.9281.8–299.6
2068311.5293–324.5294.2282.5–300.6
2069310.6292.2–323.6292.9282.4–300
2070312.7293–325.3292.9282.8–300.8
2071311.5292.1–323.9294.2282.8–301.5
2072313.3297.8–325.5294.9285.1–301.9
2073313.8298.6–327.2294.9285.5–302.2
2074311.4292.4–323.5293.9283.3–300.3
2075310.9291.5–324.5294.1283.2–300.6
2076314.2294.4–327.7294.9284.6–302
2077315.1295.6–326.8295.3284.3–301.9
2078314.9296.3–327.1294.4285–302
2079313292.8–326.8294.8283.7–301.8
2080311.9294.7–325.4295.1283.4–302.8
2081313.5295.5–325.6295.1284.8–302.6
2082315296.8–327.1295.1284.9–301.3
2083315.7295.3–328.7295.4284.5–304.6
2084316.6298.5–327.9296285.1–304.4
2085317.4299.3–329.8296.6285–305
2086315.8294–328295.6284.8–303.6
2087316.5297.9–328.5295.3284.1–303.4
2088315.6297.3–328.8295.9284.5–305.5
2089315296.6–327.9295.6285–304.5
2090316298.9–330.3295.7285.8–304.6
2091317298.1–330.6297285–304.9
2092317.6298.7–330.7296.8286–305.7
2093316.3297.5–328.6296.3285.6–305.3
2094316.4300.2–327.5296.4285.8–305
2095319299.8–330.7297.9285.6–304.9
2096317.7299.5–330.8296285.9–307.5
2097316.9297.8–329296.5284.8–303.4
2098318.6299.9–331.9296.6286–307.3
2099318.1300–330.2297284.6–305.4
2100317.3298.4–330.3297.4286.5–305.2

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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