Brazil vs Uruguay

Brazil vs Uruguay: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 35.9 nights in Uruguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 246.1 nights, or 7.86 times that in Uruguay.

nights a year · CMIP6

Brazil vs Uruguay: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 35.9 nights in Uruguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 246.1 nights, or 7.86 times that in Uruguay.
BrazilUruguayCMIP6 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 Uruguay at 64.7 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilUruguay
201428235.9
2013282.535.7
2012283.633.1
2011281.832.8
2010280.233.5
2009279.232.1
2008277.832.3
2007275.931.9
2006275.433
2005275.830.5
2004278.531.9
2003276.728.1
2002276.233
2001277.731.9
2000273.329
199927129.1
1998273.629.7
1997270.929.6
1996264.725.5
1995263.826.4
1994263.625.6
1993258.325.4
1992252.825.2
1991269.727.7
1990272.527.3
1989267.128.7
1988264.729.2
1987265.927.6
1986265.727.5
1985260.626.3
1984261.125.2
1983255.927.6
1982264.827
1981265.325.8
198026228.1
1979261.229.8
1978259.726
1977261.826.6
1976258.425.7
1975252.426.2
1974258.724.6
197326127.3
1972258.125.6
1971256.525.9
1970254.526.2
1969255.124.5
1968254.927.4
1967250.325.1
1966254.526.5
1965250.823.8
1964246.219.5
1963241.925.3
1962257.927.2
1961258.225.9
1960260.324.6
1959255.725.6
1958258.124.2
1957256.628.1
1956251.225
1955257.226.6
195425825.9
1953255.226.2
1952255.824.2
1951256.325.6
1950254.423.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilUruguay
2015284257.6–299.536.420.4–49.2
2016281.5261.4–296.333.819.4–48.6
2017284.1263.2–297.83522.7–47.9
2018283.4263.1–298.834.921.6–53
2019283.7262.9–302.436.621.1–51.2
2020286.3264.2–303.64223.6–55.5
2021287.9266.9–302.340.222.8–56.4
2022289.6270.7–303.939.622.3–54.9
2023287.3270.5–30336.922.3–51.1
2024291.5268.2–304.638.720.1–54.5
2025289.6269.1–304.843.424.1–57.1
2026289.7266.2–305.142.629.1–56.5
2027289.5269.1–303.737.724.1–56
2028291.2271.9–30638.123.8–52.3
2029295.5276.3–309.644.123.4–60.4
2030292.2269.1–306.942.120.8–59.5
2031295.3274–308.944.422.6–57.7
2032296.8280.1–310.943.427.7–58.7
2033295.4273.3–308.541.224.2–55.8
2034294.3273.5–311.842.426.9–58
2035295.2274.4–310.94229–55.2
2036295.1278.2–307.842.229.3–58.2
2037299.9283.7–311.348.830.3–65.3
2038299.6283.5–312.143.425.2–62.5
2039296.9279.9–31143.130.3–58.1
2040298.5279.4–311.944.226.1–61.4
2041301.4282.2–314.146.129.9–60.2
2042300.6277.8–314.74524.5–60.7
2043298.2279.8–312.744.428.5–62.2
2044300.3281.2–315.648.828.6–66.6
2045299.9279.7–313.144.827.3–67.9
2046302.8285.8–316.647.228.1–65.9
2047303.3285–316.446.126.3–62.7
2048304.4287.3–317.349.930.4–65.8
2049305.4288.4–318.548.630.7–64
2050303.9283.9–316.249.733.6–66.7
2051305.7287.5–317.552.334.2–70.5
2052305.9290.6–318.851.932.1–71.2
2053305.3285.9–317.555.434–76.3
2054306.1288.4–319.351.933.5–71
2055306.4290.8–319.852.730.5–72.3
2056306.7288.3–321.156.132.9–79.7
2057306.4287.6–321.154.723.1–77.2
2058309291–321.455.430.4–73.6
2059310.4290.7–322.858.534.9–76.4
2060311.6294.4–325.155.728.7–73.5
2061307.5290.3–321.254.627.3–83.1
2062309291.5–322.857.338.2–76.1
2063310.8290.6–322.856.433.6–74.4
2064309.6290.2–321.159.136.7–79.7
2065311.1291.6–323.161.732.2–82.1
2066312.2294.2–324.260.338.7–76.5
2067310.9291.5–323.357.634.1–77.6
2068311.5293–324.552.434–72.8
2069310.6292.2–323.658.737.3–81.2
2070312.7293–325.363.842.9–88.8
2071311.5292.1–323.960.434.8–82.8
2072313.3297.8–325.558.137.5–84.5
2073313.8298.6–327.262.740.3–87.4
2074311.4292.4–323.56140.6–82.5
2075310.9291.5–324.561.435.9–85.3
2076314.2294.4–327.761.235.8–88.1
2077315.1295.6–326.860.337.5–83
2078314.9296.3–327.164.141.4–85.6
2079313292.8–326.859.737–83.5
2080311.9294.7–325.464.639–83.5
2081313.5295.5–325.66137.3–82
2082315296.8–327.159.337.4–85.5
2083315.7295.3–328.761.534.2–87.3
2084316.6298.5–327.970.338.3–90.6
2085317.4299.3–329.865.839–91.4
2086315.8294–32862.240.7–87.4
2087316.5297.9–328.562.240.4–83.2
2088315.6297.3–328.865.944.7–85.6
2089315296.6–327.962.444.1–85.1
2090316298.9–330.365.641.3–87.3
2091317298.1–330.664.842.7–93.3
2092317.6298.7–330.766.242.1–92.5
2093316.3297.5–328.663.438.7–87.6
2094316.4300.2–327.566.238.9–86.9
2095319299.8–330.764.136.9–92
2096317.7299.5–330.865.338.5–94.3
2097316.9297.8–32966.845.6–89.3
2098318.6299.9–331.967.344.2–87.2
2099318.1300–330.267.841.4–88.6
2100317.3298.4–330.364.740.9–94.6

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

Brazil vs Uruguay

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment