Chad vs Nigeria

Chad vs Nigeria: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 66.3 nights, or 1.28 times that in Chad.

Watch it change on the map

nights a year · CMIP6

Chad vs Nigeria: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 66.3 nights, or 1.28 times that in Chad.
ChadNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Chad at 273.4 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadNigeria
2014237.6303.9
2013231.8299.5
2012237.9304.4
2011236.2301.5
2010234.8301.4
2009231.5297.8
2008230.8297.4
2007229.6298
2006229.5297.2
2005228.8295.4
2004228294.1
2003230.9298.4
2002229.8295.2
2001230.2299.1
2000226.4293.9
1999225.1290.3
1998222.9289.9
1997226.3292.5
1996222.4290
1995222.3289.1
1994221.4287.4
1993215.6284
1992214.4281.6
1991223289.1
1990222.8290.6
1989220287.2
1988219.9288
1987218.4285.6
1986222.6289.1
1985218284.2
1984216.1284.4
1983213.7281.9
1982214.8283.5
1981218.1286.4
1980215282.8
1979214.5283
1978216282.8
1977216.2285.9
1976215.7281.7
1975212.2280.4
1974213.8280.7
1973216.9284.3
1972215.2284.1
1971212.6279.3
1970214.3282
1969210.3278.7
1968212.8279.6
1967209.1278.1
1966210.8279.4
1965210.3279
1964210.6276.8
1963207.5275.1
1962214.7284.1
1961212.3281.9
1960217.3285.9
1959212.5282.8
1958213.8281.4
1957214283.3
1956213.4280.8
1955213.8280.4
1954214.3284.1
1953211.3280.4
1952213.1280.8
1951213.8284.2
1950213.1279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadNigeria
2015235.8215.6–253.1301.7282.9–317.3
2016233.3212.8–247.7301.4280.8–312.5
2017237.6218.6–253.1302.5284.3–316.3
2018235.8217.8–254.4302.2286.8–316.5
2019235.2213.3–255.6300.1281.2–318
2020237217.1–255303283.7–318.5
2021239.6220–258.2305.1287.1–318.4
2022240.4223.1–258.2305.1286–319.5
2023239.1216.7–256.4305286.4–318.9
2024246.7227.6–261.2310.6295.1–321.5
2025243.2223.9–259.4307.5292–319.4
2026242.9220.8–260.9306.9286.1–322.9
2027242.3221.2–258.6307.4288–321.7
2028242.7225.4–259.7310.7293.4–322.6
2029246.3227.2–264.1311.4293.3–324.4
2030244.7225.8–261.1310.6294.1–322.5
2031246.8224.7–264.8312.2295–324.8
2032244.3226.5–260.2310290–323.5
2033247.6228.7–266.1313292.9–327
2034247.8224.9–263.9311.7294.8–325.1
2035250.9230.3–268.9314.5296.7–327.7
2036246.7226.3–264.1313.5294.1–326.5
2037249.9230.3–266.2315.6297.9–327.1
2038252.4233.4–268.7316.9301.2–329.6
2039250230.8–267.5315.4299.4–328.2
2040248.9227–266.8315.6297.9–327.4
2041252230–270.9316.8300.6–330.2
2042250.4232–271.8316.3300.3–330.3
2043251.1232–265.5316298.4–326
2044251.4230.2–271.3317.9299.5–329.6
2045252.3230.8–270.2316.6300.5–330.4
2046253.6231.9–272.3317.8302.2–330.7
2047254.6236.7–274.4319.8301.5–333
2048254.4236.6–273.6320.1302.4–331.7
2049256235.4–272320.7305.3–331.7
2050255.9234.4–276.1320.9304–335
2051256.1237.8–275.9321304.1–334.2
2052258.3237.1–273.9320.9303.9–333.5
2053255.9234.9–275320.9303.3–334.1
2054260.6233–279.6324.5304.5–338.2
2055259.9239.1–276.6322.2308.4–333.7
2056259.4233.3–279324.8305.8–336.3
2057262.5240.8–278.4326310.8–337.3
2058259.3239.2–275.5322.9307.4–334.2
2059263.7240.5–282.9325.7308.9–339
2060259.3239.3–280323.8307.5–337
2061261.1240.7–281.2324.4307.1–338.2
2062261.4238.1–281.4325.7308–339.3
2063263.4239.6–278.6326.6308.7–337
2064263.9244.3–283.2326.2311–339.8
2065263.7247.7–283.1327.6313.5–339.4
2066265.2245.7–285.6328.4311.3–339.6
2067262.5242.8–283.8326308.4–340.5
2068266.8241.4–286.3329.3311.2–342.9
2069262.7242.8–283.1326.6309.9–338.1
2070264.9243.5–284.9327.4312.6–340.7
2071267.9248.5–286329.1313–341.1
2072269.2246.8–285.6330.3315.9–342.1
2073263.7241.6–284.2326.3309.5–341
2074264239.7–285.1326.7311.4–341.4
2075266.5246.7–287328.9314.5–341.8
2076267.8245.8–285.7329.6313.4–342
2077269.5247.1–290.8332.5314.4–343.3
2078268.6247.9–286.4329.8312.8–342.1
2079266.4247.9–286.3329.6313.8–340.6
2080269.4249.6–289.4331.7314.1–344.8
2081267.4247.1–291.8329.3311.6–343.7
2082266.7249.2–286.8329.3313.3–341.4
2083269.8248.9–287.6330.4315–342.2
2084268.4243.4–289.7330.5311.9–344.2
2085270.8251.2–287.4332.7316.6–343.6
2086270.6249.6–291.5331.9316.3–343.6
2087266.3246.2–289.2330.7314.9–342.4
2088269.2245.6–290.7331.7313.2–342.7
2089270.4251.1–289331.1318.3–341.9
2090270.9245.5–291.1332.4312.7–343.9
2091271.3246.1–293.5333.3311–345.8
2092270.6248.3–291.9332.7313.8–345.7
2093272.4254.3–289.2334.2318.6–344.9
2094274254.8–290.2334.2317.3–345.6
2095273.5251.8–291.6333.8319.3–346.3
2096273.9252.1–292.5332.5317.4–346.7
2097270.8246–292.1331.8312.6–344.6
2098271.1248.3–290.6332.3316–343.7
2099271.8250.5–291.1333316.9–344.2
2100273.4254–291.9332.3318.5–345

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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