Gabon vs Congo - Brazzaville

Gabon vs Congo - Brazzaville: Tropical nights

Tropical nights in 2014: 331.9 nights in Gabon and 327.9 nights in Congo - Brazzaville, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gabon, by 4 nights, or 1.01 times that in Congo - Brazzaville.

nights a year · CMIP6

Gabon vs Congo - Brazzaville: Tropical nightsTropical nights in 2014: 331.9 nights in Gabon and 327.9 nights in Congo - Brazzaville, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gabon, by 4 nights, or 1.01 times that in Congo - Brazzaville.
GabonCongo - BrazzavilleCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Gabon has been higher since 2009, when it overtook Congo - Brazzaville.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Gabon at 362.5 nights and Congo - Brazzaville at 360.9 nights in 2100.

Every year

nights a year · CMIP6

YearGabonCongo - Brazzaville
2014331.9327.9
2013334.5330.5
2012335.4330.6
2011331.6327.6
2010328.3326.5
2009327.2324.7
2008322.7323.4
2007321.4320.8
2006319.1319.6
2005318317.4
2004321.3319.5
2003321.4321.2
2002316.4315.7
2001322.9320.9
2000314.2316
1999306.1306.6
1998309.3311.3
1997304.6308.4
1996295.7299.8
1995292.3299.4
1994289.5294.3
1993265.5276.8
1992259.7272.6
1991297.8299.7
1990303.8307.8
1989293.6299.7
1988290299
1987288.5294.1
1986292.9299.1
1985278.3289.4
1984278.3286.9
1983269.4279.6
1982278.1284.9
1981288.5295.7
1980280.5290.2
1979278.4286.9
1978277.9286.1
1977278286.3
1976268.9278.3
1975256270.1
1974274.9281.4
1973279.3287
1972267.5278
1971263.6273.5
1970267.9278.1
1969261.4273.6
1968253.4267.9
1967247.2260.4
1966256.8269
1965248.9263.3
1964237.8252.3
1963229.1247.5
1962267.2279.3
1961268.3281.8
1960276.1285.7
1959269.9279.8
1958275.4283.9
1957269.9281.6
1956263.6276.3
1955268.5277.3
1954264.6276
1953271278.2
1952270.1279
1951277.7285.3
1950264.5274.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGabonCongo - Brazzaville
2015332.1301.1–347.6329.1302.5–343.4
2016331.4297.9–345.8326.8297.2–342.4
2017335.6298.3–350.2332.9300.6–344.9
2018335.9305.2–349.1331.4302.9–344.7
2019333.1300.8–350.7330.1299.7–344.4
2020335.5313.7–353332.6309.7–348
2021341.3316.5–352.2336.4313.1–346.6
2022342.1320.8–353.6337.6315.3–347.9
2023340.5322.1–354.1335.9317.9–349.1
2024345.2321.6–355.5339.8317.1–352.1
2025342.2319.4–356.1336.8317–350.8
2026344.1307.9–356.1338307.8–351.7
2027342.3317.1–357.2335.7311.1–354.1
2028347.4319.1–358.7340.3321.2–353.7
2029347.9326.8–357.8342.7323.3–353
2030343.4323.4–354.9338.8317.6–351.1
2031348.7325–357.9343.2320–354.4
2032350.1329.8–360.2343.4324.8–355.4
2033349.5325.2–359.3342.6319.9–356.7
2034345327.9–358.4339.9320.1–354
2035349.6329.1–360.2343.3324.6–356.1
2036348.2330.4–358.9342.8321–355.8
2037352.5338.4–359.8346.3332.5–355.9
2038353.6339.1–360.9348.4331.9–358.3
2039351.4335.7–359345.8328.9–355.6
2040353.3339.1–360.6347.5329.8–356.4
2041354.1335.1–361.2348.6330–358.1
2042352.5333.7–362.2346.2327.8–359.4
2043352.5335.8–360.1347.1326.8–356.6
2044352334.6–361.6347.8326.7–358
2045352.8337.8–360.1346.4329.6–356.6
2046356.2341.5–362.1350.4333.3–358.5
2047355.3342.3–361.5349.8334.4–357.4
2048358.4345.6–362.7352.6338.2–360.1
2049356.2342.1–362.6352.2336.6–360.3
2050356.1340.8–362.7350.8334.1–360.7
2051356.5343.4–361.7351.1335.7–359.3
2052356.8345.5–363.9352.6337–361
2053356.1340.9–362351.5334.7–359.5
2054357.1343–362.4352.4336.1–359.7
2055358.9348.1–363.5354.2340.8–361.4
2056358.5344.6–363.4353.9336.1–361.9
2057357.4344.4–362.7352.7338.9–360.5
2058358.3346.4–362.8353.4339.3–361.1
2059359.6347.5–363.4355.9340.8–361.6
2060360.8347.1–364.6356.3342.7–363
2061358.1343.2–362.8353.8337.5–360.4
2062358.3343.2–363.5354.3336.6–361.6
2063360.1348.4–364.1356341.2–362.3
2064360.3349.3–364.4355.7343–362.4
2065360.3349.3–364356.7344.8–362.8
2066360.3349.6–363.9356.9343.5–362.1
2067358.7342.2–363.9355.5337.9–362.6
2068361.3347.5–365.1358.5342.1–364.4
2069360.2346.6–363.9356.7339.7–362.7
2070360.1348.9–363.9356.8343.1–362.9
2071361.1350.6–363.9358346.5–362.6
2072361.5352.3–365358.8346.6–363.9
2073360.9350.7–364.4357.9345.3–363.7
2074360.9349.7–364.3357.4343.3–363.5
2075361.5348.8–364.1359.2342.9–363.9
2076361.5349.7–364.6357.5343.7–363.3
2077361.3349.8–363.9358.1344.8–362.9
2078361.4351.4–364.7358.6344.4–364.3
2079361.1352.3–364.1357.4346.3–363.3
2080362348.3–365.2359.4344.6–364.5
2081361349.9–364.2358.5344.2–363.4
2082361.4350.3–364.4358.9342.5–363.4
2083360.9350–364.3358.1343.3–363.8
2084362.5353.7–365.3360348–364.7
2085362.5353.2–364.7360.4346.7–364.2
2086361.8351.4–364.3358.8345.6–363.6
2087362.2353.2–364.3359.2347.3–363.5
2088362.5352.6–365.2360345.8–364.3
2089361.9350.9–364.5360.5344.2–364
2090362.5353.1–364.7359.6346.7–364.2
2091362.3352.3–364.5358.7344.8–364
2092363352.4–365.6360346.2–364.9
2093362.4354.4–364.6359.5348.9–363.9
2094362.3353.4–364.6359.2347.3–364
2095363.4355.6–364.8361.4350.7–364.4
2096362.4352.9–365.3360347.5–365.1
2097362.5355.2–364.6359.9347.2–364.4
2098362.1353–364.5359.3348.1–364.3
2099362.3353.6–364.5360348.6–364.1
2100362.5353.8–364.5360.9348–364.1

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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