Chad vs Senegal

Chad vs Senegal: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 64.5 nights, or 1.27 times that in Chad.

nights a year · CMIP6

Chad vs Senegal: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 64.5 nights, or 1.27 times that in Chad.
ChadSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal 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 Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadSenegal
2014237.6302.1
2013231.8300.9
2012237.9304.1
2011236.2302.1
2010234.8301.5
2009231.5302.1
2008230.8298.3
2007229.6298.5
2006229.5298.6
2005228.8298.1
2004228294.7
2003230.9296.1
2002229.8296
2001230.2298.9
2000226.4295
1999225.1293.2
1998222.9292.5
1997226.3288.5
1996222.4285.1
1995222.3285.9
1994221.4283.7
1993215.6282
1992214.4277.6
1991223286.7
1990222.8292.5
1989220282.1
1988219.9282.4
1987218.4281.8
1986222.6283
1985218278.1
1984216.1274.6
1983213.7276.3
1982214.8281.3
1981218.1277.9
1980215277.6
1979214.5281
1978216280.7
1977216.2278
1976215.7274.4
1975212.2278.4
1974213.8273.8
1973216.9274.5
1972215.2273.5
1971212.6273.4
1970214.3271.3
1969210.3271.6
1968212.8272.6
1967209.1275.4
1966210.8273.3
1965210.3272.8
1964210.6271.8
1963207.5272.8
1962214.7280.2
1961212.3276.9
1960217.3279.2
1959212.5277.4
1958213.8278.8
1957214274.4
1956213.4273.2
1955213.8273.4
1954214.3275
1953211.3271.7
1952213.1271
1951213.8272.9
1950213.1270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadSenegal
2015235.8215.6–253.1298.9275.9–321
2016233.3212.8–247.7302.7276.5–319
2017237.6218.6–253.1302.9285.4–318.6
2018235.8217.8–254.4305.6289.2–321.5
2019235.2213.3–255.6307.6280.6–328.1
2020237217.1–255305.2276.2–322.9
2021239.6220–258.2307.6286–325.6
2022240.4223.1–258.2312.9289.6–334.3
2023239.1216.7–256.4307.5292.2–328.6
2024246.7227.6–261.2313.2294.6–326.9
2025243.2223.9–259.4311.8289–329.4
2026242.9220.8–260.9308.3285.2–328.6
2027242.3221.2–258.6310.7287.8–330
2028242.7225.4–259.7316.3289.2–331.6
2029246.3227.2–264.1315.7291.2–334.2
2030244.7225.8–261.1311.5289.1–329.1
2031246.8224.7–264.8318.8296.3–335
2032244.3226.5–260.2316295.7–332.4
2033247.6228.7–266.1316.7289.6–336.4
2034247.8224.9–263.9315.4291.6–335.1
2035250.9230.3–268.9316.8291.1–335.3
2036246.7226.3–264.1320.8298.5–335.3
2037249.9230.3–266.2324.5303.1–337.7
2038252.4233.4–268.7323.5304.2–339.7
2039250230.8–267.5323.3300.9–337
2040248.9227–266.8322.4298.9–339.5
2041252230–270.9320.2300.1–343.6
2042250.4232–271.8320302.1–339.9
2043251.1232–265.5320.4303.7–340.4
2044251.4230.2–271.3326.9301.5–340.9
2045252.3230.8–270.2324.1304.1–340
2046253.6231.9–272.3325.9304.7–340.6
2047254.6236.7–274.4329301.4–347
2048254.4236.6–273.6331.1314.3–344.8
2049256235.4–272331.3308.3–343.7
2050255.9234.4–276.1327.6306.5–341.9
2051256.1237.8–275.9328307.1–344
2052258.3237.1–273.9325.4308.1–344.2
2053255.9234.9–275331.8304.9–347.2
2054260.6233–279.6330.1310.8–345.2
2055259.9239.1–276.6330.1305.5–344
2056259.4233.3–279331.4307.4–349.8
2057262.5240.8–278.4337306.4–351.5
2058259.3239.2–275.5333313.2–350.2
2059263.7240.5–282.9334315.6–353.5
2060259.3239.3–280334.5316.4–351.1
2061261.1240.7–281.2333.7307.5–352.9
2062261.4238.1–281.4333.3312.4–350.2
2063263.4239.6–278.6335.4313.2–352.8
2064263.9244.3–283.2335.4307.1–351.1
2065263.7247.7–283.1334.8314.1–352.8
2066265.2245.7–285.6337.3312.9–351
2067262.5242.8–283.8335.5309.9–349.9
2068266.8241.4–286.3335.5313.5–354
2069262.7242.8–283.1336.1316.9–351.8
2070264.9243.5–284.9333.3312.9–352.9
2071267.9248.5–286335.7321.1–351.9
2072269.2246.8–285.6342.3321–354.6
2073263.7241.6–284.2339.4320.1–356.1
2074264239.7–285.1335.9317.1–351.8
2075266.5246.7–287338.4320.7–354.1
2076267.8245.8–285.7338.7321.9–352
2077269.5247.1–290.8342.8314.8–357.3
2078268.6247.9–286.4343325.8–355.4
2079266.4247.9–286.3341.2322.3–357.6
2080269.4249.6–289.4340.9317.7–358.1
2081267.4247.1–291.8339.8315.5–357.1
2082266.7249.2–286.8341.6316.4–354.9
2083269.8248.9–287.6340.8324.8–356.9
2084268.4243.4–289.7340.4322.8–354.9
2085270.8251.2–287.4346.8325.6–357
2086270.6249.6–291.5341.7324.4–357.6
2087266.3246.2–289.2343.9325.9–357.7
2088269.2245.6–290.7341.5321.6–358.2
2089270.4251.1–289343.2324.3–355.2
2090270.9245.5–291.1342320.6–356
2091271.3246.1–293.5341.7319.8–356.4
2092270.6248.3–291.9339.7318.4–357.7
2093272.4254.3–289.2345326.8–356.4
2094274254.8–290.2344.4324.3–357.6
2095273.5251.8–291.6346.3320.6–359.4
2096273.9252.1–292.5344.4323.1–359.2
2097270.8246–292.1341.4321.3–353.8
2098271.1248.3–290.6345322.3–357
2099271.8250.5–291.1344.6322.7–357.5
2100273.4254–291.9347.3323.6–359.2

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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