Chad vs Zimbabwe

Chad vs Zimbabwe: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 161.2 nights, or 3.11 times that in Zimbabwe.

nights a year · CMIP6

Chad vs Zimbabwe: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 161.2 nights, or 3.11 times that in Zimbabwe.
ChadZimbabweCMIP6 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadZimbabwe
2014237.676.4
2013231.878.4
2012237.975.9
2011236.273.3
2010234.871.5
2009231.569.6
2008230.869.8
2007229.669.3
2006229.570.3
2005228.869.5
200422871.8
2003230.972.9
2002229.871.3
2001230.271.3
2000226.467.4
1999225.162.3
1998222.966.3
1997226.362
1996222.457.7
1995222.358.9
1994221.456.8
1993215.650.1
1992214.452.1
199122358.7
1990222.861.5
198922060.4
1988219.961.6
1987218.457.3
1986222.658.6
198521854.1
1984216.154.6
1983213.753.3
1982214.853.7
1981218.157
198021557.3
1979214.556.2
197821653.1
1977216.255.2
1976215.751.2
1975212.253.6
1974213.854.2
1973216.953.9
1972215.253.2
1971212.651.1
1970214.353.1
1969210.353.3
1968212.848.7
1967209.148.7
1966210.848.8
1965210.348.6
1964210.644.6
1963207.547.4
1962214.755.8
1961212.351.6
1960217.355.6
1959212.553.6
1958213.855.3
195721453.2
1956213.448.6
1955213.854.4
1954214.353
1953211.351.8
1952213.152.7
1951213.852.3
1950213.151.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadZimbabwe
2015235.8215.6–253.179.463.5–98.5
2016233.3212.8–247.778.657.9–101.7
2017237.6218.6–253.181.263.3–98.5
2018235.8217.8–254.482.160.5–104.1
2019235.2213.3–255.682.863.9–102.3
2020237217.1–25584.362.9–106.9
2021239.6220–258.282.564.7–102.7
2022240.4223.1–258.289.870.1–108.8
2023239.1216.7–256.490.672.5–110.7
2024246.7227.6–261.293.769.8–113.4
2025243.2223.9–259.48865.1–114.6
2026242.9220.8–260.989.767.8–113.9
2027242.3221.2–258.695.668.4–119.6
2028242.7225.4–259.793.371.4–115.7
2029246.3227.2–264.1100.277.2–120
2030244.7225.8–261.19671.6–115.3
2031246.8224.7–264.89874.9–119.8
2032244.3226.5–260.298.574.7–118.5
2033247.6228.7–266.198.974–120.6
2034247.8224.9–263.9100.277.3–128.1
2035250.9230.3–268.9103.975.7–130.6
2036246.7226.3–264.1100.878–123
2037249.9230.3–266.210882.1–131.1
2038252.4233.4–268.7110.986.5–135
2039250230.8–267.5102.480.4–122.3
2040248.9227–266.8101.379.5–133.5
2041252230–270.9108.483.7–134.2
2042250.4232–271.8108.883.1–139.9
2043251.1232–265.5107.985.7–137.3
2044251.4230.2–271.3111.287–134.8
2045252.3230.8–270.2106.186.2–130.7
2046253.6231.9–272.3112.386.4–139.1
2047254.6236.7–274.4119.692.1–145.9
2048254.4236.6–273.6116.888.4–143.9
2049256235.4–272119.290.4–146.2
2050255.9234.4–276.1122.794.1–148.6
2051256.1237.8–275.9122.4100.9–147.7
2052258.3237.1–273.9124.2101.3–152.8
2053255.9234.9–275121.689–146.9
2054260.6233–279.6123.993.9–150.8
2055259.9239.1–276.6126.597.9–153.7
2056259.4233.3–279126.198–154.7
2057262.5240.8–278.4122.797.6–150.7
2058259.3239.2–275.5125.3103–154.1
2059263.7240.5–282.9132.2107.4–157.4
2060259.3239.3–280132.599.9–159
2061261.1240.7–281.2126.694.2–161.1
2062261.4238.1–281.4126.399.6–157.3
2063263.4239.6–278.6127.7101–159.7
2064263.9244.3–283.2130.498–151.3
2065263.7247.7–283.1132.4107.6–165.6
2066265.2245.7–285.6134.5106.8–159.8
2067262.5242.8–283.8125.598.9–160.5
2068266.8241.4–286.3134102.3–166.1
2069262.7242.8–283.1136.9106.4–164.2
2070264.9243.5–284.9133.199.8–166.3
2071267.9248.5–286135.2108.4–173.7
2072269.2246.8–285.6140.4110.6–166.8
2073263.7241.6–284.2140.9109.7–173.6
2074264239.7–285.1135.5112–170.6
2075266.5246.7–287136108.5–166.6
2076267.8245.8–285.7133.7105.9–163.7
2077269.5247.1–290.8140.2114.3–170.6
2078268.6247.9–286.4137.5111.3–172.3
2079266.4247.9–286.3136.9110.2–172.6
2080269.4249.6–289.4145115.8–173.2
2081267.4247.1–291.8147.2106.5–174.1
2082266.7249.2–286.8141.4111.4–169.9
2083269.8248.9–287.6143.6106.5–179.2
2084268.4243.4–289.7149.4117.3–176.9
2085270.8251.2–287.4154.3114.9–182.7
2086270.6249.6–291.5141.7115.3–176.1
2087266.3246.2–289.2142.7116.8–177.3
2088269.2245.6–290.7150.2118.3–178.9
2089270.4251.1–289148.9121.3–176.4
2090270.9245.5–291.1145.7113.7–179.4
2091271.3246.1–293.5149.7116.5–181.8
2092270.6248.3–291.9149.4119.7–181.7
2093272.4254.3–289.2152.5117.1–184.1
2094274254.8–290.2150.9117.3–182.2
2095273.5251.8–291.6155118.3–181.5
2096273.9252.1–292.5152.4113.1–189.2
2097270.8246–292.1144.1113.8–183.3
2098271.1248.3–290.6152.4119.2–187
2099271.8250.5–291.1152.9117.3–185
2100273.4254–291.9148.3120.1–184.6

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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