Senegal vs Zambia

Senegal vs Zambia: Tropical nights

Tropical nights in 2014: 302.1 nights in Senegal and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 239.2 nights, or 4.8 times that in Zambia.

nights a year · CMIP6

Senegal vs Zambia: Tropical nightsTropical nights in 2014: 302.1 nights in Senegal and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 239.2 nights, or 4.8 times that in Zambia.
SenegalZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearSenegalZambia
2014302.162.9
2013300.964.7
2012304.163.9
2011302.161.5
2010301.559.3
2009302.157.5
2008298.356
2007298.555.1
2006298.655.9
2005298.154.5
2004294.758.4
2003296.156.6
200229655
2001298.959
200029552.9
1999293.248
1998292.551.3
1997288.547.8
1996285.143.5
1995285.943.9
1994283.741.6
199328235.3
1992277.636
1991286.742.7
1990292.546.4
1989282.145
1988282.443.6
1987281.844
198628343.8
1985278.138.7
1984274.638.7
1983276.338.8
1982281.340
1981277.941.7
1980277.639.7
197928140.7
1978280.738.9
197727840
1976274.435.7
1975278.437.1
1974273.837.4
1973274.538.8
1972273.535
1971273.436
1970271.338.1
1969271.637.1
1968272.634.1
1967275.432.2
1966273.333.1
1965272.834.9
1964271.831.3
1963272.830.5
1962280.238.8
1961276.937
1960279.239.3
1959277.438.3
1958278.839
1957274.437.8
1956273.234.6
1955273.438.2
195427538
1953271.735.4
195227137.6
1951272.936.9
1950270.836
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSenegalZambia
2015298.9275.9–32172.150.1–93.9
2016302.7276.5–31966.845.9–85.7
2017302.9285.4–318.671.449.7–92.5
2018305.6289.2–321.573.852.7–94.8
2019307.6280.6–328.173.354–97.6
2020305.2276.2–322.977.556.9–100.4
2021307.6286–325.676.755.7–104.5
2022312.9289.6–334.384.861.6–109.7
2023307.5292.2–328.684.763–108
2024313.2294.6–326.985.158.2–113.9
2025311.8289–329.484.957.1–116
2026308.3285.2–328.683.658.4–119.4
2027310.7287.8–33089.562.5–115.7
2028316.3289.2–331.689.965–118.6
2029315.7291.2–334.29669.8–122.8
2030311.5289.1–329.19166.7–118.1
2031318.8296.3–33597.668.2–121.3
2032316295.7–332.494.970.3–122.2
2033316.7289.6–336.498.270.1–123.6
2034315.4291.6–335.197.370.4–135.2
2035316.8291.1–335.3104.168.4–137.8
2036320.8298.5–335.399.568.7–131.5
2037324.5303.1–337.7107.177.4–139.8
2038323.5304.2–339.7110.383.2–138.8
2039323.3300.9–337101.874.3–139.1
2040322.4298.9–339.5100.872.5–145.3
2041320.2300.1–343.6113.978.7–147.6
2042320302.1–339.9111.379.1–155.1
2043320.4303.7–340.4106.678.3–150.6
2044326.9301.5–340.9110.574.3–145.5
2045324.1304.1–340109.882.2–148.2
2046325.9304.7–340.6119.485.9–160
2047329301.4–347123.191.1–159.4
2048331.1314.3–344.8124.590.6–160.2
2049331.3308.3–343.7124.586.1–167.1
2050327.6306.5–341.9130.592–166
2051328307.1–344128.498.1–169.8
2052325.4308.1–344.2130.798.6–170.4
2053331.8304.9–347.2128.488–168.8
2054330.1310.8–345.2132.193–169.6
2055330.1305.5–344132.1100.1–176.1
2056331.4307.4–349.8132.492.7–179.6
2057337306.4–351.5133.298.5–178.5
2058333313.2–350.2137.299.2–179.7
2059334315.6–353.5139.8105.8–189.5
2060334.5316.4–351.1145.4102.9–191
2061333.7307.5–352.9136.692.8–196.9
2062333.3312.4–350.2143.9101–194.7
2063335.4313.2–352.8144.5101.7–187.8
2064335.4307.1–351.1147.998.4–180.9
2065334.8314.1–352.8148.6104.3–199.8
2066337.3312.9–351152.1109.4–193.6
2067335.5309.9–349.9140.6103.2–195.7
2068335.5313.5–354150.8105.7–200.3
2069336.1316.9–351.8150.5106.3–197
2070333.3312.9–352.9145.8104.7–202.4
2071335.7321.1–351.9153.1112.7–212
2072342.3321–354.6157.2120–195.7
2073339.4320.1–356.1161.5115.2–210.9
2074335.9317.1–351.8149.2115–198.7
2075338.4320.7–354.1148.2111.5–202.2
2076338.7321.9–352150.4112–201.9
2077342.8314.8–357.3156.5120.3–208.3
2078343325.8–355.4157.2122.2–209.5
2079341.2322.3–357.6156.8118.1–207.3
2080340.9317.7–358.1159.8116–211.9
2081339.8315.5–357.1160.2117.1–208.6
2082341.6316.4–354.9159.6119.6–200.6
2083340.8324.8–356.9159.5110.7–219.9
2084340.4322.8–354.9166124.3–210.3
2085346.8325.6–357172.9126.8–221.1
2086341.7324.4–357.6161.9120.6–224.1
2087343.9325.9–357.7158.3129.2–219.6
2088341.5321.6–358.2168.4123.9–218.5
2089343.2324.3–355.2168.5129.9–217.9
2090342320.6–356165.7124–223.8
2091341.7319.8–356.4177.4129.5–227.2
2092339.7318.4–357.7170.6127.8–221.5
2093345326.8–356.4173.6123.6–223.3
2094344.4324.3–357.6171.4130.3–220.7
2095346.3320.6–359.4179131.6–228.6
2096344.4323.1–359.2170.8124.8–233.3
2097341.4321.3–353.8167.2122.2–224.3
2098345322.3–357172.5131.9–226.9
2099344.6322.7–357.5171.7126.5–229.1
2100347.3323.6–359.2171.5124.3–228

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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