Brazil vs Saudi Arabia

Brazil vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 100.5 nights, or 1.55 times that in Saudi Arabia.

Watch it change on the map

nights a year · CMIP6

Brazil vs Saudi Arabia: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 100.5 nights, or 1.55 times that in Saudi Arabia.
BrazilSaudi ArabiaCMIP6 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilSaudi Arabia
2014282181.5
2013282.5180.4
2012283.6182.8
2011281.8182.7
2010280.2179.2
2009279.2177.1
2008277.8180.3
2007275.9178.9
2006275.4177.5
2005275.8177.9
2004278.5177.6
2003276.7177.4
2002276.2175.6
2001277.7178.1
2000273.3176.4
1999271173.2
1998273.6173.4
1997270.9173.8
1996264.7172
1995263.8169.2
1994263.6170.4
1993258.3164.6
1992252.8165.9
1991269.7169.2
1990272.5172.7
1989267.1168.9
1988264.7166.8
1987265.9167.3
1986265.7169.4
1985260.6166
1984261.1165
1983255.9163.5
1982264.8164.7
1981265.3168.9
1980262166.8
1979261.2165.3
1978259.7164.8
1977261.8165.6
1976258.4165.9
1975252.4161.2
1974258.7162.9
1973261163.7
1972258.1163.7
1971256.5160.4
1970254.5162.5
1969255.1161.3
1968254.9162.7
1967250.3159.5
1966254.5159.5
1965250.8159.5
1964246.2159.9
1963241.9160.2
1962257.9163.2
1961258.2163.7
1960260.3165.7
1959255.7164.4
1958258.1164.1
1957256.6165.5
1956251.2163.6
1955257.2162
1954258161.2
1953255.2162.5
1952255.8163.4
1951256.3161.2
1950254.4161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilSaudi Arabia
2015284257.6–299.5184.9169.4–198.7
2016281.5261.4–296.3183167.7–195.7
2017284.1263.2–297.8182.6168.1–196.7
2018283.4263.1–298.8186.8173.1–199.4
2019283.7262.9–302.4184.1168.8–199.1
2020286.3264.2–303.6185.3171.8–198.9
2021287.9266.9–302.3188.6173.6–202.8
2022289.6270.7–303.9187.6170.7–202
2023287.3270.5–303188.6173–203.8
2024291.5268.2–304.6187.1172.9–203.9
2025289.6269.1–304.8191.5176–206.1
2026289.7266.2–305.1191.8177.1–205.5
2027289.5269.1–303.7191.2176.6–206.8
2028291.2271.9–306191.9175.5–205.1
2029295.5276.3–309.6192.2176.6–205.7
2030292.2269.1–306.9193.3178.4–206.3
2031295.3274–308.9194.7179.1–207.6
2032296.8280.1–310.9192.2175.2–206
2033295.4273.3–308.5192.6177.5–206.9
2034294.3273.5–311.8196.7181.6–213
2035295.2274.4–310.9196.5179.9–211.6
2036295.1278.2–307.8194.1180–209.7
2037299.9283.7–311.3197183.7–209.9
2038299.6283.5–312.1198.4182.3–213.3
2039296.9279.9–311198184.4–213.6
2040298.5279.4–311.9199.2182.1–212.7
2041301.4282.2–314.1197.7181.4–211.7
2042300.6277.8–314.7198.3181.2–217
2043298.2279.8–312.7198.2182.3–215.3
2044300.3281.2–315.6199.2185.5–213.5
2045299.9279.7–313.1202187.1–216.8
2046302.8285.8–316.6204.1185.3–219.4
2047303.3285–316.4204.1187.4–220
2048304.4287.3–317.3206.1190.7–220
2049305.4288.4–318.5201.6187.7–216.2
2050303.9283.9–316.2205.7190.2–219.3
2051305.7287.5–317.5204.3188.8–222.1
2052305.9290.6–318.8203.8189.6–218
2053305.3285.9–317.5203.8186.3–218.8
2054306.1288.4–319.3207.6188.3–222.3
2055306.4290.8–319.8207.8190.8–221
2056306.7288.3–321.1203.7186.6–220.1
2057306.4287.6–321.1207.5188.8–224.2
2058309291–321.4205.9189.2–221.4
2059310.4290.7–322.8207.3191.6–226.9
2060311.6294.4–325.1206.9192.7–222.8
2061307.5290.3–321.2206.5190.4–220.9
2062309291.5–322.8208.1189.4–228.3
2063310.8290.6–322.8210.4193–227.1
2064309.6290.2–321.1207.5191.9–223.3
2065311.1291.6–323.1208.9193.9–226.1
2066312.2294.2–324.2210.3194.9–228
2067310.9291.5–323.3210.9193.1–228.6
2068311.5293–324.5209.8194.6–228.6
2069310.6292.2–323.6208.9194.5–226.3
2070312.7293–325.3211.2191.2–229
2071311.5292.1–323.9215.1196.3–233.3
2072313.3297.8–325.5213.6195.3–229.3
2073313.8298.6–327.2213.7194.1–231.6
2074311.4292.4–323.5210.5191.9–229.3
2075310.9291.5–324.5212.1196.6–231.8
2076314.2294.4–327.7212.8194.8–230.3
2077315.1295.6–326.8215.1196.6–233.9
2078314.9296.3–327.1215.5197.6–230.7
2079313292.8–326.8213.6197–229
2080311.9294.7–325.4213.6197.1–233.9
2081313.5295.5–325.6214.7194.4–231.6
2082315296.8–327.1214198.9–230.9
2083315.7295.3–328.7214.2198.5–238
2084316.6298.5–327.9217.4197.4–233.1
2085317.4299.3–329.8217.4199.6–237.9
2086315.8294–328217197.4–237.4
2087316.5297.9–328.5217.3199.7–238.7
2088315.6297.3–328.8216.1198.2–243.1
2089315296.6–327.9217.6199.5–239
2090316298.9–330.3217.3198.5–239.2
2091317298.1–330.6218.5202.8–238.4
2092317.6298.7–330.7218.5198.5–241.6
2093316.3297.5–328.6216.6197.8–236.3
2094316.4300.2–327.5218.8202–236.9
2095319299.8–330.7219.4204.2–237.4
2096317.7299.5–330.8219.9197.7–239.6
2097316.9297.8–329216.7196.8–239.7
2098318.6299.9–331.9219.7199.6–241.3
2099318.1300–330.2216.8200.8–236.8
2100317.3298.4–330.3218.7202.3–241

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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