Chad vs Guinea

Chad vs Guinea: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 49 nights, or 1.21 times that in Chad.

nights a year · CMIP6

Chad vs Guinea: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 49 nights, or 1.21 times that in Chad.
ChadGuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea 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 Guinea at 345.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadGuinea
2014237.6286.6
2013231.8285.3
2012237.9292.9
2011236.2288.8
2010234.8285.2
2009231.5282.5
2008230.8279
2007229.6278.9
2006229.5278.8
2005228.8278.9
2004228276
2003230.9279.6
2002229.8277.1
2001230.2279.8
2000226.4273.1
1999225.1267
1998222.9268.4
1997226.3266.6
1996222.4260.4
1995222.3260.3
1994221.4255
1993215.6246.6
1992214.4242.4
1991223264.3
1990222.8266.4
1989220259.7
1988219.9256.9
1987218.4258.4
1986222.6259.9
1985218252.6
1984216.1249.6
1983213.7248.4
1982214.8250
1981218.1253.5
1980215251.2
1979214.5251.2
1978216252
1977216.2250.4
1976215.7244
1975212.2242.3
1974213.8247.2
1973216.9249.3
1972215.2246.1
1971212.6244.5
1970214.3249
1969210.3241.2
1968212.8241.5
1967209.1233.3
1966210.8237.7
1965210.3239.8
1964210.6231
1963207.5225.8
1962214.7246.9
1961212.3246
1960217.3250.5
1959212.5244.8
1958213.8245.6
1957214247.5
1956213.4242.4
1955213.8243.5
1954214.3250.2
1953211.3241.2
1952213.1240.3
1951213.8248.8
1950213.1240.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadGuinea
2015235.8215.6–253.1286.7259.9–308.5
2016233.3212.8–247.7288.9262.6–304
2017237.6218.6–253.1291.6265.5–311.4
2018235.8217.8–254.4295.6269.3–311.8
2019235.2213.3–255.6291.8266.8–313.6
2020237217.1–255291.2265.6–315.4
2021239.6220–258.2295.8268–316.3
2022240.4223.1–258.2299.9277.9–322.4
2023239.1216.7–256.4296273.8–318
2024246.7227.6–261.2302.3276.9–322.8
2025243.2223.9–259.4298.9275.2–322.4
2026242.9220.8–260.9302.5269.3–323.9
2027242.3221.2–258.6302.6276.3–320.2
2028242.7225.4–259.7308.2285.4–325.8
2029246.3227.2–264.1309.3280.6–327.2
2030244.7225.8–261.1305.5277.4–322.4
2031246.8224.7–264.8313.2282.2–329.6
2032244.3226.5–260.2307.7287.3–329.5
2033247.6228.7–266.1310.4282.4–337.8
2034247.8224.9–263.9308281.7–327.4
2035250.9230.3–268.9311.2284.9–333
2036246.7226.3–264.1312.8285.7–334.5
2037249.9230.3–266.2315.5291.8–331.1
2038252.4233.4–268.7317.9296.3–333.9
2039250230.8–267.5314.1291.6–336
2040248.9227–266.8316.1292.9–334.6
2041252230–270.9315.4296.5–335.7
2042250.4232–271.8316290.7–336.6
2043251.1232–265.5314.8291.1–332.7
2044251.4230.2–271.3319.8289.7–337.5
2045252.3230.8–270.2318.6296.4–339
2046253.6231.9–272.3321.4295.7–337
2047254.6236.7–274.4324.6297.9–342.8
2048254.4236.6–273.6324.8304.4–341.1
2049256235.4–272324.2302.4–340.2
2050255.9234.4–276.1322.4299.7–339.6
2051256.1237.8–275.9326.1300.4–342
2052258.3237.1–273.9324301.5–342.8
2053255.9234.9–275325.6298–345.3
2054260.6233–279.6329.5301.3–345.1
2055259.9239.1–276.6324.4305.3–342.4
2056259.4233.3–279329.6299.4–349.4
2057262.5240.8–278.4332.4301.5–351
2058259.3239.2–275.5328.8305.6–347.6
2059263.7240.5–282.9330.3310.8–350.5
2060259.3239.3–280328.3309.4–348.2
2061261.1240.7–281.2330.5304.6–352.8
2062261.4238.1–281.4327.7307.3–346.5
2063263.4239.6–278.6333.4311–349.1
2064263.9244.3–283.2330.9310.6–351.6
2065263.7247.7–283.1331.4309.7–350.6
2066265.2245.7–285.6331.8312.3–347.4
2067262.5242.8–283.8329.1304–348.6
2068266.8241.4–286.3335.4309.6–354.5
2069262.7242.8–283.1333.5313–351.4
2070264.9243.5–284.9331.7310.9–352.7
2071267.9248.5–286334.6315.6–352.4
2072269.2246.8–285.6338.3317–353.2
2073263.7241.6–284.2334309.7–351.6
2074264239.7–285.1330.2310.6–352
2075266.5246.7–287334312–352.2
2076267.8245.8–285.7338.4321.3–352.1
2077269.5247.1–290.8341.4318.4–355.6
2078268.6247.9–286.4338.1316.6–355.8
2079266.4247.9–286.3337.5318.8–355.3
2080269.4249.6–289.4339.8315.4–358
2081267.4247.1–291.8339.3318.2–356.6
2082266.7249.2–286.8337.9316.1–353.3
2083269.8248.9–287.6339.2320.8–355.8
2084268.4243.4–289.7340.5321–354.6
2085270.8251.2–287.4343.8319.9–358.1
2086270.6249.6–291.5342.2318.7–358.7
2087266.3246.2–289.2340.7319.9–357.6
2088269.2245.6–290.7341.2318.3–354.9
2089270.4251.1–289337.9318.6–354.8
2090270.9245.5–291.1341.1315–356
2091271.3246.1–293.5339.7319.7–355.5
2092270.6248.3–291.9339.7320.4–356.8
2093272.4254.3–289.2341.8325.1–356.2
2094274254.8–290.2342.2324–356.4
2095273.5251.8–291.6340.7323.5–359.3
2096273.9252.1–292.5343.2324–359.7
2097270.8246–292.1340.3313.8–353.8
2098271.1248.3–290.6339.9318.8–357
2099271.8250.5–291.1341.5324.6–355.9
2100273.4254–291.9345.3319.6–357.9

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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