Benin vs Cameroon

Benin vs Cameroon: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 95.2 nights, or 1.4 times that in Cameroon.

nights a year · CMIP6

Benin vs Cameroon: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 95.2 nights, or 1.4 times that in Cameroon.
BeninCameroonCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 359.6 nights and Cameroon at 324.2 nights in 2100.

Every year

nights a year · CMIP6

YearBeninCameroon
2014333.9238.7
2013328.9236.7
2012332.6242.2
2011330.1237.6
2010329.8230.4
2009325.2226.6
2008326.4223.1
2007325.2222.1
2006326.1220.1
2005324.3216.1
2004322.7217.6
2003327.4221
2002324215.5
2001329.4223
2000322.4210
1999317.9200.5
1998319.1203.5
1997320.6202
1996315.5190
1995316.5187.3
1994314.3183.1
1993313.5165.2
1992309.8156.7
1991316.1192.6
1990320.6200.7
1989313.1187.5
1988313.6185.8
1987313.3182.7
1986317.1188.9
1985314.6173.2
1984311.8172.9
1983308.8165.5
1982309.3176.3
1981314.8182.6
1980310.2173.6
1979311.9175.8
1978310172.8
1977314.4175.7
1976309.1164.5
1975307.3159.5
1974307.9166.8
1973311.8170.4
1972310.1165.2
1971305.9161.3
1970309.7164.4
1969305.9160
1968305.6157.8
1967305.6147.9
1966305.4156.5
1965306.1151.6
1964304.6143.1
1963304.6145.9
1962311.6171.8
1961307.4167.2
1960312.1176.2
1959312.4166.5
1958306.8169.2
1957311.8168.2
1956308.2160
1955308.6163.7
1954311.3167.6
1953307.4168.2
1952305.5165.7
1951309.4172.8
1950304.7162.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninCameroon
2015328.6309.6–343.6242.2196.9–270.8
2016330.8309.8–342.5237.7192.1–259.9
2017330311.6–342.9245.8205.7–271.3
2018331.2315.3–345.2245.7208–270.5
2019328.1308–346.4243.7200.2–275.6
2020330.1308.7–348.1246.4210.4–278
2021332.7314.3–347.2255.2220.2–279.6
2022334.9314.5–347.9255.8221–285.7
2023331.8310.2–346.4254.5221.7–284.1
2024340.3323.4–351.1263225.8–286.8
2025335315.9–346.3257.3222.7–293.9
2026335.9313.3–353.1260.4211.9–292
2027335.8315.2–349.1258.5223.8–291.5
2028340.1321.3–351.9266.9235.5–294.7
2029338.6323.1–350.8269.9242.3–293.5
2030339.7321.7–350266.6229–293.5
2031343.8323.3–354.6273.2229.9–298.5
2032340.8318.1–351.4269.8240.6–296.2
2033343.1320.1–354.4271.8235.6–303.4
2034339.8319.2–352.6268.1239.2–299.1
2035342.7322–354.2277.5241.5–302.7
2036341.8320.2–355.2275.7235.1–301.3
2037344324.8–353.5283.5252.3–305.9
2038346.6334.6–355.1285.8258–307.9
2039344.5327.1–355.1280.9250.4–305.8
2040346327.6–355.8279.5252.1–310.6
2041345.5331.9–357.4284.5254.6–309.9
2042343.9328.1–358.9284.8253.6–313.2
2043345.7326.6–355.4281.2251.4–309.8
2044347.3329.7–358.8283.8244.4–312.3
2045342.6328–358.9286.8253.7–311.4
2046347.9332.2–357.8296.1260.6–318.1
2047349.6330.6–358.7294.3260.7–316.6
2048349.8334.6–358.1297.3265.6–318.1
2049350.7333.4–359.3298.3267.8–318.1
2050351334–360.2296.9267.9–322.7
2051350338.1–359.9297.8266.7–319.9
2052348.6332.5–359.5298.7270.1–322.3
2053351.3331.1–359.3297.7261.3–321.7
2054353.3336.1–360.3301.2268.2–324.6
2055350.7336.5–359.7301.3276.5–324.3
2056353.4337.9–362302.1270.4–329.2
2057355339.4–361.3305.4277.7–327.4
2058352.5338–360.1302.6272.1–325.2
2059354.9338.8–361.9306.2279.6–330.1
2060353.2337.9–360.9306.1276.1–331.1
2061353.8331.6–362304.4267.2–329.7
2062353.5334.3–361.4307.6266.2–332.2
2063355.1335.9–361.9309.1272.5–328.8
2064353.9338–363.1308.5278.7–331
2065355.3343.1–362.4311.3284.1–329.6
2066352.4339.8–360.1311.9284–332.7
2067355.7336.9–362.9310.1271.7–335.6
2068357.5341.2–363.6312.9278.7–335
2069353.4339.4–362.3310.4278.4–333.4
2070354.4341–361.7309.8281.2–334.9
2071356.4338.9–362.8316.4282.3–336
2072357.8343.2–363.8315.4289.2–335.3
2073356.1339.2–362.4314282.6–339.5
2074355.1339–362.4311.7281.9–336.8
2075356.2344.1–363.5314.8285.3–335.3
2076357343.3–362.6315.2284.7–338.4
2077357.3343.8–363.1318.2289.7–341.4
2078357.9344.2–363.3315.8286.4–338.5
2079357.3347.1–362.8317.7287.8–337.5
2080358.9344.5–365.3321.5285.9–341.7
2081357.1341.4–363.9318.7290–339
2082357.1341.9–362.2316.2289–337.7
2083358.4346.7–363.4317.7288.2–341.6
2084357.9343.1–364.6318.5284.5–342.1
2085359.5346–364.2323.4294–342.7
2086359.2344.3–364.1319.5292.3–343
2087357.6343.8–364.2318292.7–342.5
2088358.5341.9–364.2320.4288.1–342
2089357.1346.7–363.7320.1289.6–340.7
2090359.7343.6–363.8322.4292.8–342.6
2091358.6342.2–364.1322.6289.9–345
2092359.3342.5–364.9324.9291.6–343.6
2093360.3348–364.4322.3299.7–342.6
2094359347.2–364.5324299.3–343.4
2095358.6345.9–364.3326.4300.2–346.4
2096359.2344.5–365.5322.1294.4–346.4
2097358.4343.3–363.8320.9287.4–342.5
2098358.2346.2–363.8323.1293.8–344.4
2099358344.6–363.9322.6295.7–344.2
2100359.6348.3–364.5324.2293.6–346.6

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

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