Brazil vs Ecuador

Brazil vs Ecuador: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 90 nights, or 1.47 times that in Ecuador.

Watch it change on the map

nights a year · CMIP6

Brazil vs Ecuador: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 90 nights, or 1.47 times that in Ecuador.
BrazilEcuadorCMIP6 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 Ecuador at 223.3 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilEcuador
2014282192
2013282.5192.7
2012283.6195.6
2011281.8193.5
2010280.2191.9
2009279.2190.7
2008277.8190.2
2007275.9188.3
2006275.4186
2005275.8187.4
2004278.5190
2003276.7188.3
2002276.2187.2
2001277.7189
2000273.3185.3
1999271181.4
1998273.6182.7
1997270.9182.4
1996264.7176.2
1995263.8174.9
1994263.6175.8
1993258.3170.8
1992252.8166.2
1991269.7179.8
1990272.5184.5
1989267.1178.8
1988264.7173.9
1987265.9177.8
1986265.7177.2
1985260.6172
1984261.1172.1
1983255.9166.8
1982264.8170.8
1981265.3177.4
1980262173.2
1979261.2172.1
1978259.7172.3
1977261.8172
1976258.4170
1975252.4163.9
1974258.7169.4
1973261173.3
1972258.1169.5
1971256.5167.5
1970254.5169.8
1969255.1167.4
1968254.9168.5
1967250.3159.5
1966254.5162.2
1965250.8163.3
1964246.2161.2
1963241.9151.1
1962257.9168.6
1961258.2169.5
1960260.3172.4
1959255.7167.3
1958258.1170.7
1957256.6171.4
1956251.2164
1955257.2169
1954258169.5
1953255.2169.6
1952255.8170.3
1951256.3171.7
1950254.4169.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilEcuador
2015284257.6–299.5193.3172.3–205.7
2016281.5261.4–296.3192.7172.2–203.6
2017284.1263.2–297.8195.3178.7–206.8
2018283.4263.1–298.8194.8178–206.5
2019283.7262.9–302.4193.3173.9–207.6
2020286.3264.2–303.6196.2179.1–208
2021287.9266.9–302.3198.7183.8–209
2022289.6270.7–303.9200.5181.4–209.9
2023287.3270.5–303198.3180.6–210.1
2024291.5268.2–304.6201.5181.4–210.7
2025289.6269.1–304.8199.9180–212
2026289.7266.2–305.1200.2180.5–211.7
2027289.5269.1–303.7199.8181.7–210.8
2028291.2271.9–306203.4187–212.4
2029295.5276.3–309.6204.6189.9–213
2030292.2269.1–306.9200.4183–212.8
2031295.3274–308.9204.9187.3–214.1
2032296.8280.1–310.9205.8191.8–216.5
2033295.4273.3–308.5203.3184.3–213.1
2034294.3273.5–311.8203.3189.6–218.3
2035295.2274.4–310.9204.3187.8–214.4
2036295.1278.2–307.8204.8189.9–214.6
2037299.9283.7–311.3207.9195.6–216.5
2038299.6283.5–312.1208.5195.8–216.1
2039296.9279.9–311206.5190.8–217.1
2040298.5279.4–311.9208.7193.7–219.1
2041301.4282.2–314.1208.8194.8–218.1
2042300.6277.8–314.7208.6192.5–219.7
2043298.2279.8–312.7207.2192.5–217.3
2044300.3281.2–315.6207190.4–220.2
2045299.9279.7–313.1209.7196–219
2046302.8285.8–316.6213.1196.1–221.1
2047303.3285–316.4211.9198.3–219.3
2048304.4287.3–317.3214.1200.7–222.9
2049305.4288.4–318.5212.8200–221
2050303.9283.9–316.2211.6197.6–222.2
2051305.7287.5–317.5213.8197.8–221.4
2052305.9290.6–318.8213.3202.2–222.7
2053305.3285.9–317.5212.5198.8–221.7
2054306.1288.4–319.3213.5201–224.3
2055306.4290.8–319.8213.9203–224.9
2056306.7288.3–321.1215.6199.8–223.9
2057306.4287.6–321.1214.5198.6–224
2058309291–321.4215.1199.9–225.9
2059310.4290.7–322.8217.2200.1–225.2
2060311.6294.4–325.1217.1204.7–226.8
2061307.5290.3–321.2215.6201.9–225.8
2062309291.5–322.8216.8201.4–226.9
2063310.8290.6–322.8217202.6–226.3
2064309.6290.2–321.1216.7203–225
2065311.1291.6–323.1217.7204.7–227
2066312.2294.2–324.2217.2205.6–227.3
2067310.9291.5–323.3217.4201.5–226.7
2068311.5293–324.5218.9203.9–228.3
2069310.6292.2–323.6216.8201.7–228
2070312.7293–325.3216.8204.3–228.3
2071311.5292.1–323.9219.5205.5–228.7
2072313.3297.8–325.5220208.3–229
2073313.8298.6–327.2219.5208.1–230.7
2074311.4292.4–323.5218.4202.8–228
2075310.9291.5–324.5218.8203.6–227.8
2076314.2294.4–327.7220.7207.7–229.9
2077315.1295.6–326.8220.7206.9–230.5
2078314.9296.3–327.1220207.5–231
2079313292.8–326.8220.4205.4–229.2
2080311.9294.7–325.4220.2204.8–230.7
2081313.5295.5–325.6220.2205.5–230.9
2082315296.8–327.1220.1207.8–229.2
2083315.7295.3–328.7221.5208.5–232.9
2084316.6298.5–327.9222.3207.1–232.6
2085317.4299.3–329.8222.4208.4–234.3
2086315.8294–328219.9207.1–232.4
2087316.5297.9–328.5220.9206.1–231.9
2088315.6297.3–328.8221.7206.1–234.8
2089315296.6–327.9221.3206.9–232.8
2090316298.9–330.3221.6208.8–234.3
2091317298.1–330.6223.8207.5–233.5
2092317.6298.7–330.7222.7209.7–234.9
2093316.3297.5–328.6221.7208.7–235.5
2094316.4300.2–327.5223209.9–234.4
2095319299.8–330.7223.9209.9–235.4
2096317.7299.5–330.8221.9209.7–237.3
2097316.9297.8–329221.6208.4–232.3
2098318.6299.9–331.9222.1210.2–238.2
2099318.1300–330.2222.2207.1–234.4
2100317.3298.4–330.3223.3209.1–235.3

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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