Chad vs Uganda

Chad vs Uganda: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 112.9 nights, or 1.91 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Chad vs Uganda: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 112.9 nights, or 1.91 times that in Uganda.
ChadUgandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadUganda
2014237.6124.7
2013231.8124
2012237.9122.2
2011236.2125.7
2010234.8122.5
2009231.5114.8
2008230.8114.1
2007229.6111.2
2006229.5117.4
2005228.8113.8
2004228114.6
2003230.9114.4
2002229.8114.4
2001230.2117.1
2000226.4109
1999225.1105.5
1998222.9105
1997226.3106.1
1996222.4102.1
1995222.399.9
1994221.494.6
1993215.690.8
1992214.489.9
1991223102.1
1990222.8103.8
198922099.1
1988219.998.6
1987218.498.3
1986222.699.2
198521892.1
1984216.194.6
1983213.790.4
1982214.894.4
1981218.198.5
198021596.3
1979214.593.9
197821691
1977216.295.1
1976215.792
1975212.289.6
1974213.891.8
1973216.992.8
1972215.290
1971212.687.1
1970214.388.8
1969210.388
1968212.887.3
1967209.182.3
1966210.882.5
1965210.382.2
1964210.678.2
1963207.580.3
1962214.788.5
1961212.390.7
1960217.393.2
1959212.591.3
1958213.888.7
195721490.1
1956213.488.8
1955213.889
1954214.389.5
1953211.389
1952213.189.6
1951213.891.1
1950213.187.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadUganda
2015235.8215.6–253.1131.598.6–164.1
2016233.3212.8–247.712398.5–154.1
2017237.6218.6–253.1133.7108.6–162.7
2018235.8217.8–254.4134.2102.5–164
2019235.2213.3–255.6131.3104.8–166.2
2020237217.1–255140.7102.6–171.5
2021239.6220–258.2137.9112.9–175.4
2022240.4223.1–258.2140116.2–169.9
2023239.1216.7–256.4140.4114.2–184.8
2024246.7227.6–261.2151.1113.5–186.7
2025243.2223.9–259.4143108.5–176.4
2026242.9220.8–260.9144.6109.7–179.6
2027242.3221.2–258.6147.6116–175.4
2028242.7225.4–259.7151.6120.2–179.6
2029246.3227.2–264.1155.2127.3–178.6
2030244.7225.8–261.1150.4117.6–185.1
2031246.8224.7–264.8161.6132–187.2
2032244.3226.5–260.2159.1134.2–190.5
2033247.6228.7–266.1158.9123.4–200.6
2034247.8224.9–263.9161.5135.6–202.5
2035250.9230.3–268.9164.9126.3–193
2036246.7226.3–264.1158.5127.7–195.4
2037249.9230.3–266.2168.3138.2–207.3
2038252.4233.4–268.7173.8139.7–206.2
2039250230.8–267.5171.2130.1–205
2040248.9227–266.8170.4134.1–207.4
2041252230–270.9176.3144.6–208
2042250.4232–271.8175137.8–214.3
2043251.1232–265.5173.6132.8–207.6
2044251.4230.2–271.3176.1136.8–206.9
2045252.3230.8–270.2178.9138.3–217.7
2046253.6231.9–272.3191.9136.6–235
2047254.6236.7–274.4187.7156.6–225.3
2048254.4236.6–273.6189.3151.5–227.4
2049256235.4–272195.1154.9–233.6
2050255.9234.4–276.1191150.7–236.4
2051256.1237.8–275.9191.2154.4–228.2
2052258.3237.1–273.9192.6157.7–231.7
2053255.9234.9–275194.5149.7–233.5
2054260.6233–279.6199156.3–236.8
2055259.9239.1–276.6201.3151.7–240.7
2056259.4233.3–279198.9156.9–240.2
2057262.5240.8–278.4200165.5–244.7
2058259.3239.2–275.5208.8156.5–248.3
2059263.7240.5–282.9212.7171.1–254
2060259.3239.3–280212.6160.3–253.1
2061261.1240.7–281.2208.9162.4–258.1
2062261.4238.1–281.4206.4159.1–267.6
2063263.4239.6–278.6209.3168.5–246.3
2064263.9244.3–283.2210.6166.2–253.8
2065263.7247.7–283.1214.5167.8–261.1
2066265.2245.7–285.6211.9171.8–256.1
2067262.5242.8–283.8208.4168.3–269.8
2068266.8241.4–286.3216.4169.7–268.7
2069262.7242.8–283.1213170.3–268.1
2070264.9243.5–284.9216.4176.4–270.9
2071267.9248.5–286215.5174.6–273.5
2072269.2246.8–285.6227.3184.1–272.3
2073263.7241.6–284.2230.4189.3–278.5
2074264239.7–285.1220.7176.9–277
2075266.5246.7–287217.7167–274.2
2076267.8245.8–285.7228.1178.9–279
2077269.5247.1–290.8229.5189.6–280.5
2078268.6247.9–286.4225.6187.8–276.4
2079266.4247.9–286.3231.9168.8–277.7
2080269.4249.6–289.4232.8182.6–283.1
2081267.4247.1–291.8227.9187.6–279.3
2082266.7249.2–286.8233.1185.6–279.4
2083269.8248.9–287.6232.2175.7–297
2084268.4243.4–289.7237.2185.5–288.8
2085270.8251.2–287.4239.5192.4–291.7
2086270.6249.6–291.5236.2189.8–289.4
2087266.3246.2–289.2239.4188.9–294
2088269.2245.6–290.7236.8193.6–288.9
2089270.4251.1–289238.8193.8–293.7
2090270.9245.5–291.1237.7190.1–301.5
2091271.3246.1–293.5251188.7–300.1
2092270.6248.3–291.9243.4194.9–297.8
2093272.4254.3–289.2244.4199.2–296.8
2094274254.8–290.2245.6202.9–299.8
2095273.5251.8–291.6253.2202.4–306.1
2096273.9252.1–292.5241.4196.5–304
2097270.8246–292.1243.1194–296.6
2098271.1248.3–290.6242.9199–302.3
2099271.8250.5–291.1247.3194.4–306.1
2100273.4254–291.9245.3195.5–307.2

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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