Benin vs Chad

Benin vs Chad: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 96.3 nights, or 1.41 times that in Chad.

nights a year · CMIP6

Benin vs Chad: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 96.3 nights, or 1.41 times that in Chad.
BeninChadCMIP6 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 Chad at 273.4 nights in 2100.

Every year

nights a year · CMIP6

YearBeninChad
2014333.9237.6
2013328.9231.8
2012332.6237.9
2011330.1236.2
2010329.8234.8
2009325.2231.5
2008326.4230.8
2007325.2229.6
2006326.1229.5
2005324.3228.8
2004322.7228
2003327.4230.9
2002324229.8
2001329.4230.2
2000322.4226.4
1999317.9225.1
1998319.1222.9
1997320.6226.3
1996315.5222.4
1995316.5222.3
1994314.3221.4
1993313.5215.6
1992309.8214.4
1991316.1223
1990320.6222.8
1989313.1220
1988313.6219.9
1987313.3218.4
1986317.1222.6
1985314.6218
1984311.8216.1
1983308.8213.7
1982309.3214.8
1981314.8218.1
1980310.2215
1979311.9214.5
1978310216
1977314.4216.2
1976309.1215.7
1975307.3212.2
1974307.9213.8
1973311.8216.9
1972310.1215.2
1971305.9212.6
1970309.7214.3
1969305.9210.3
1968305.6212.8
1967305.6209.1
1966305.4210.8
1965306.1210.3
1964304.6210.6
1963304.6207.5
1962311.6214.7
1961307.4212.3
1960312.1217.3
1959312.4212.5
1958306.8213.8
1957311.8214
1956308.2213.4
1955308.6213.8
1954311.3214.3
1953307.4211.3
1952305.5213.1
1951309.4213.8
1950304.7213.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninChad
2015328.6309.6–343.6235.8215.6–253.1
2016330.8309.8–342.5233.3212.8–247.7
2017330311.6–342.9237.6218.6–253.1
2018331.2315.3–345.2235.8217.8–254.4
2019328.1308–346.4235.2213.3–255.6
2020330.1308.7–348.1237217.1–255
2021332.7314.3–347.2239.6220–258.2
2022334.9314.5–347.9240.4223.1–258.2
2023331.8310.2–346.4239.1216.7–256.4
2024340.3323.4–351.1246.7227.6–261.2
2025335315.9–346.3243.2223.9–259.4
2026335.9313.3–353.1242.9220.8–260.9
2027335.8315.2–349.1242.3221.2–258.6
2028340.1321.3–351.9242.7225.4–259.7
2029338.6323.1–350.8246.3227.2–264.1
2030339.7321.7–350244.7225.8–261.1
2031343.8323.3–354.6246.8224.7–264.8
2032340.8318.1–351.4244.3226.5–260.2
2033343.1320.1–354.4247.6228.7–266.1
2034339.8319.2–352.6247.8224.9–263.9
2035342.7322–354.2250.9230.3–268.9
2036341.8320.2–355.2246.7226.3–264.1
2037344324.8–353.5249.9230.3–266.2
2038346.6334.6–355.1252.4233.4–268.7
2039344.5327.1–355.1250230.8–267.5
2040346327.6–355.8248.9227–266.8
2041345.5331.9–357.4252230–270.9
2042343.9328.1–358.9250.4232–271.8
2043345.7326.6–355.4251.1232–265.5
2044347.3329.7–358.8251.4230.2–271.3
2045342.6328–358.9252.3230.8–270.2
2046347.9332.2–357.8253.6231.9–272.3
2047349.6330.6–358.7254.6236.7–274.4
2048349.8334.6–358.1254.4236.6–273.6
2049350.7333.4–359.3256235.4–272
2050351334–360.2255.9234.4–276.1
2051350338.1–359.9256.1237.8–275.9
2052348.6332.5–359.5258.3237.1–273.9
2053351.3331.1–359.3255.9234.9–275
2054353.3336.1–360.3260.6233–279.6
2055350.7336.5–359.7259.9239.1–276.6
2056353.4337.9–362259.4233.3–279
2057355339.4–361.3262.5240.8–278.4
2058352.5338–360.1259.3239.2–275.5
2059354.9338.8–361.9263.7240.5–282.9
2060353.2337.9–360.9259.3239.3–280
2061353.8331.6–362261.1240.7–281.2
2062353.5334.3–361.4261.4238.1–281.4
2063355.1335.9–361.9263.4239.6–278.6
2064353.9338–363.1263.9244.3–283.2
2065355.3343.1–362.4263.7247.7–283.1
2066352.4339.8–360.1265.2245.7–285.6
2067355.7336.9–362.9262.5242.8–283.8
2068357.5341.2–363.6266.8241.4–286.3
2069353.4339.4–362.3262.7242.8–283.1
2070354.4341–361.7264.9243.5–284.9
2071356.4338.9–362.8267.9248.5–286
2072357.8343.2–363.8269.2246.8–285.6
2073356.1339.2–362.4263.7241.6–284.2
2074355.1339–362.4264239.7–285.1
2075356.2344.1–363.5266.5246.7–287
2076357343.3–362.6267.8245.8–285.7
2077357.3343.8–363.1269.5247.1–290.8
2078357.9344.2–363.3268.6247.9–286.4
2079357.3347.1–362.8266.4247.9–286.3
2080358.9344.5–365.3269.4249.6–289.4
2081357.1341.4–363.9267.4247.1–291.8
2082357.1341.9–362.2266.7249.2–286.8
2083358.4346.7–363.4269.8248.9–287.6
2084357.9343.1–364.6268.4243.4–289.7
2085359.5346–364.2270.8251.2–287.4
2086359.2344.3–364.1270.6249.6–291.5
2087357.6343.8–364.2266.3246.2–289.2
2088358.5341.9–364.2269.2245.6–290.7
2089357.1346.7–363.7270.4251.1–289
2090359.7343.6–363.8270.9245.5–291.1
2091358.6342.2–364.1271.3246.1–293.5
2092359.3342.5–364.9270.6248.3–291.9
2093360.3348–364.4272.4254.3–289.2
2094359347.2–364.5274254.8–290.2
2095358.6345.9–364.3273.5251.8–291.6
2096359.2344.5–365.5273.9252.1–292.5
2097358.4343.3–363.8270.8246–292.1
2098358.2346.2–363.8271.1248.3–290.6
2099358344.6–363.9271.8250.5–291.1
2100359.6348.3–364.5273.4254–291.9

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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