Senegal vs Zimbabwe

Senegal vs Zimbabwe: Tropical nights

Tropical nights in 2014: 302.1 nights in Senegal and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 225.7 nights, or 3.96 times that in Zimbabwe.

nights a year · CMIP6

Senegal vs Zimbabwe: Tropical nightsTropical nights in 2014: 302.1 nights in Senegal and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 225.7 nights, or 3.96 times that in Zimbabwe.
SenegalZimbabweCMIP6 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 Senegal at 347.3 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearSenegalZimbabwe
2014302.176.4
2013300.978.4
2012304.175.9
2011302.173.3
2010301.571.5
2009302.169.6
2008298.369.8
2007298.569.3
2006298.670.3
2005298.169.5
2004294.771.8
2003296.172.9
200229671.3
2001298.971.3
200029567.4
1999293.262.3
1998292.566.3
1997288.562
1996285.157.7
1995285.958.9
1994283.756.8
199328250.1
1992277.652.1
1991286.758.7
1990292.561.5
1989282.160.4
1988282.461.6
1987281.857.3
198628358.6
1985278.154.1
1984274.654.6
1983276.353.3
1982281.353.7
1981277.957
1980277.657.3
197928156.2
1978280.753.1
197727855.2
1976274.451.2
1975278.453.6
1974273.854.2
1973274.553.9
1972273.553.2
1971273.451.1
1970271.353.1
1969271.653.3
1968272.648.7
1967275.448.7
1966273.348.8
1965272.848.6
1964271.844.6
1963272.847.4
1962280.255.8
1961276.951.6
1960279.255.6
1959277.453.6
1958278.855.3
1957274.453.2
1956273.248.6
1955273.454.4
195427553
1953271.751.8
195227152.7
1951272.952.3
1950270.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSenegalZimbabwe
2015298.9275.9–32179.463.5–98.5
2016302.7276.5–31978.657.9–101.7
2017302.9285.4–318.681.263.3–98.5
2018305.6289.2–321.582.160.5–104.1
2019307.6280.6–328.182.863.9–102.3
2020305.2276.2–322.984.362.9–106.9
2021307.6286–325.682.564.7–102.7
2022312.9289.6–334.389.870.1–108.8
2023307.5292.2–328.690.672.5–110.7
2024313.2294.6–326.993.769.8–113.4
2025311.8289–329.48865.1–114.6
2026308.3285.2–328.689.767.8–113.9
2027310.7287.8–33095.668.4–119.6
2028316.3289.2–331.693.371.4–115.7
2029315.7291.2–334.2100.277.2–120
2030311.5289.1–329.19671.6–115.3
2031318.8296.3–3359874.9–119.8
2032316295.7–332.498.574.7–118.5
2033316.7289.6–336.498.974–120.6
2034315.4291.6–335.1100.277.3–128.1
2035316.8291.1–335.3103.975.7–130.6
2036320.8298.5–335.3100.878–123
2037324.5303.1–337.710882.1–131.1
2038323.5304.2–339.7110.986.5–135
2039323.3300.9–337102.480.4–122.3
2040322.4298.9–339.5101.379.5–133.5
2041320.2300.1–343.6108.483.7–134.2
2042320302.1–339.9108.883.1–139.9
2043320.4303.7–340.4107.985.7–137.3
2044326.9301.5–340.9111.287–134.8
2045324.1304.1–340106.186.2–130.7
2046325.9304.7–340.6112.386.4–139.1
2047329301.4–347119.692.1–145.9
2048331.1314.3–344.8116.888.4–143.9
2049331.3308.3–343.7119.290.4–146.2
2050327.6306.5–341.9122.794.1–148.6
2051328307.1–344122.4100.9–147.7
2052325.4308.1–344.2124.2101.3–152.8
2053331.8304.9–347.2121.689–146.9
2054330.1310.8–345.2123.993.9–150.8
2055330.1305.5–344126.597.9–153.7
2056331.4307.4–349.8126.198–154.7
2057337306.4–351.5122.797.6–150.7
2058333313.2–350.2125.3103–154.1
2059334315.6–353.5132.2107.4–157.4
2060334.5316.4–351.1132.599.9–159
2061333.7307.5–352.9126.694.2–161.1
2062333.3312.4–350.2126.399.6–157.3
2063335.4313.2–352.8127.7101–159.7
2064335.4307.1–351.1130.498–151.3
2065334.8314.1–352.8132.4107.6–165.6
2066337.3312.9–351134.5106.8–159.8
2067335.5309.9–349.9125.598.9–160.5
2068335.5313.5–354134102.3–166.1
2069336.1316.9–351.8136.9106.4–164.2
2070333.3312.9–352.9133.199.8–166.3
2071335.7321.1–351.9135.2108.4–173.7
2072342.3321–354.6140.4110.6–166.8
2073339.4320.1–356.1140.9109.7–173.6
2074335.9317.1–351.8135.5112–170.6
2075338.4320.7–354.1136108.5–166.6
2076338.7321.9–352133.7105.9–163.7
2077342.8314.8–357.3140.2114.3–170.6
2078343325.8–355.4137.5111.3–172.3
2079341.2322.3–357.6136.9110.2–172.6
2080340.9317.7–358.1145115.8–173.2
2081339.8315.5–357.1147.2106.5–174.1
2082341.6316.4–354.9141.4111.4–169.9
2083340.8324.8–356.9143.6106.5–179.2
2084340.4322.8–354.9149.4117.3–176.9
2085346.8325.6–357154.3114.9–182.7
2086341.7324.4–357.6141.7115.3–176.1
2087343.9325.9–357.7142.7116.8–177.3
2088341.5321.6–358.2150.2118.3–178.9
2089343.2324.3–355.2148.9121.3–176.4
2090342320.6–356145.7113.7–179.4
2091341.7319.8–356.4149.7116.5–181.8
2092339.7318.4–357.7149.4119.7–181.7
2093345326.8–356.4152.5117.1–184.1
2094344.4324.3–357.6150.9117.3–182.2
2095346.3320.6–359.4155118.3–181.5
2096344.4323.1–359.2152.4113.1–189.2
2097341.4321.3–353.8144.1113.8–183.3
2098345322.3–357152.4119.2–187
2099344.6322.7–357.5152.9117.3–185
2100347.3323.6–359.2148.3120.1–184.6

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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