Chad vs Kenya

Chad vs Kenya: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 8 nights, or 1.03 times that in Chad.

Watch it change on the map

nights a year · CMIP6

Chad vs Kenya: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 8 nights, or 1.03 times that in Chad.
ChadKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearChadKenya
2014237.6245.6
2013231.8245.4
2012237.9244.7
2011236.2245
2010234.8243.8
2009231.5242.3
2008230.8240.3
2007229.6240.9
2006229.5241.5
2005228.8241.2
2004228241.8
2003230.9240.8
2002229.8240.7
2001230.2242
2000226.4239.5
1999225.1237.8
1998222.9239.2
1997226.3236.9
1996222.4234.2
1995222.3232.9
1994221.4231.9
1993215.6227.4
1992214.4224.8
1991223233.8
1990222.8236.4
1989220234.5
1988219.9233.1
1987218.4232.6
1986222.6233
1985218228.7
1984216.1230.2
1983213.7226.7
1982214.8230.6
1981218.1232.9
1980215231.3
1979214.5229.6
1978216228.7
1977216.2229.9
1976215.7227.8
1975212.2225.9
1974213.8230.5
1973216.9230.4
1972215.2228.7
1971212.6226
1970214.3226.3
1969210.3225.9
1968212.8222.9
1967209.1224
1966210.8225.2
1965210.3224.2
1964210.6221.8
1963207.5220.2
1962214.7227.2
1961212.3228.3
1960217.3228.8
1959212.5228.3
1958213.8229.1
1957214228
1956213.4225.5
1955213.8228.7
1954214.3227.4
1953211.3227.6
1952213.1228.5
1951213.8228.3
1950213.1226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadKenya
2015235.8215.6–253.1246.9232.3–256.1
2016233.3212.8–247.7244.9230.1–255
2017237.6218.6–253.1248.1233.1–257.7
2018235.8217.8–254.4248.7237–257.4
2019235.2213.3–255.6247.1234.8–256.7
2020237217.1–255248.6233.2–259.2
2021239.6220–258.2249.5236.3–258.1
2022240.4223.1–258.2251.5239.7–259.5
2023239.1216.7–256.4251.8239–260.8
2024246.7227.6–261.2254.2239.1–263
2025243.2223.9–259.4251.5238.1–261.8
2026242.9220.8–260.9252.2237.2–263.3
2027242.3221.2–258.6252.8238.4–263.8
2028242.7225.4–259.7254.9241.9–264.2
2029246.3227.2–264.1256243.4–264.6
2030244.7225.8–261.1253.6240.6–263.1
2031246.8224.7–264.8256244.7–264.4
2032244.3226.5–260.2257243.8–267.1
2033247.6228.7–266.1256241.8–265.9
2034247.8224.9–263.9256.2241.2–267.9
2035250.9230.3–268.9256.7243.3–266.7
2036246.7226.3–264.1256.2242.4–266.7
2037249.9230.3–266.2258.7245.9–268.4
2038252.4233.4–268.7260.3244.5–268.9
2039250230.8–267.5259244.4–268
2040248.9227–266.8258.3246.2–269.8
2041252230–270.9260.7244.8–271.2
2042250.4232–271.8260.3246.5–272.7
2043251.1232–265.5259246.6–270.5
2044251.4230.2–271.3261.2248.8–270.9
2045252.3230.8–270.2261.8248.7–272.9
2046253.6231.9–272.3264.8249.6–275.3
2047254.6236.7–274.4264.4249.8–275.3
2048254.4236.6–273.6264.2252.3–274.9
2049256235.4–272265.2252.8–275.6
2050255.9234.4–276.1263.9249.8–275.1
2051256.1237.8–275.9265.4252.1–275.1
2052258.3237.1–273.9266.3252.6–276.2
2053255.9234.9–275265.2251–275.4
2054260.6233–279.6265.2250.2–277.2
2055259.9239.1–276.6266.8251.6–277.6
2056259.4233.3–279266.2251.2–277.8
2057262.5240.8–278.4266.8253–278
2058259.3239.2–275.5266.7251.5–277.9
2059263.7240.5–282.9269.8254.7–280.5
2060259.3239.3–280271.1253.9–280.7
2061261.1240.7–281.2267.5253.9–281.7
2062261.4238.1–281.4268.1254–281.2
2063263.4239.6–278.6268.9255–280.1
2064263.9244.3–283.2270254.1–279.8
2065263.7247.7–283.1269.4255.8–282.3
2066265.2245.7–285.6270.6258.1–281
2067262.5242.8–283.8270.7256.1–283
2068266.8241.4–286.3270.2256–283
2069262.7242.8–283.1269.8256.1–283.3
2070264.9243.5–284.9270.1255.8–282.6
2071267.9248.5–286271.9257.9–284.4
2072269.2246.8–285.6273.5260.3–283.8
2073263.7241.6–284.2273.1259.9–285.4
2074264239.7–285.1271.9257.5–285.4
2075266.5246.7–287271.1256.5–284.7
2076267.8245.8–285.7274.1258.6–285.8
2077269.5247.1–290.8273.4259–286.6
2078268.6247.9–286.4273.1260–284.4
2079266.4247.9–286.3273.3258.7–286.6
2080269.4249.6–289.4275.5259.4–286.9
2081267.4247.1–291.8274.7259.8–285.6
2082266.7249.2–286.8274.8261.3–286.4
2083269.8248.9–287.6274259.6–289.3
2084268.4243.4–289.7276.8259–288.8
2085270.8251.2–287.4276.2261.5–289.1
2086270.6249.6–291.5275.1260–289.1
2087266.3246.2–289.2276.2260.3–288.5
2088269.2245.6–290.7276.8261.6–289.7
2089270.4251.1–289275.9260.3–288.8
2090270.9245.5–291.1275.3260.5–290.5
2091271.3246.1–293.5277.7260.4–290.9
2092270.6248.3–291.9276.2261.2–290.7
2093272.4254.3–289.2276.9262–290.1
2094274254.8–290.2277262.8–288.9
2095273.5251.8–291.6278.4262.3–290.4
2096273.9252.1–292.5277.6260.5–292
2097270.8246–292.1277261–290.2
2098271.1248.3–290.6277.6262.3–291.5
2099271.8250.5–291.1277.9260.8–292.4
2100273.4254–291.9277261.8–290.4

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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