Burkina Faso vs Tanzania

Burkina Faso vs Tanzania: Tropical nights

Tropical nights in 2014: 306.2 nights in Burkina Faso and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Burkina Faso, by 199.9 nights, or 2.88 times that in Tanzania.

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nights a year · CMIP6

Burkina Faso vs Tanzania: Tropical nightsTropical nights in 2014: 306.2 nights in Burkina Faso and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Burkina Faso, by 199.9 nights, or 2.88 times that in Tanzania.
Burkina FasoTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Burkina Faso has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Burkina Faso at 341.5 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearBurkina FasoTanzania
2014306.2106.3
2013299.1105.5
2012307.8108.4
2011305109
2010303.3103.9
2009300.5101.1
2008301100.3
2007299.399.5
2006298.1100.4
2005296.598.7
2004294.5100.4
2003300.999.6
2002297.798.4
2001301.4101.5
2000295.994.9
1999291.594.2
1998290.896.8
1997291.693.5
1996287.989.6
1995288.688.5
1994285.285.4
1993284.981.2
1992283.180.1
1991289.789.6
1990292.791.1
1989284.689.1
1988284.487.6
1987286.188.5
1986289.889.4
1985286.283
1984284.283.1
1983280.782.1
198228484.8
1981285.988
1980282.685
1979283.185.5
1978283.882.9
1977288.884.1
1976280.681
1975282.680.8
1974280.382.2
1973282.483.6
1972280.981.4
1971279.480.7
1970283.181.8
1969276.379.5
1968279.979.1
1967279.977.5
1966276.778.1
1965279.778
1964277.373.8
1963277.873.1
196228381.1
1961279.682.6
1960284.183.9
1959280.981.4
1958279.282.1
1957282.780.9
1956281.580
1955281.181.6
1954283.281.4
1953280.380.6
195227781.4
1951281.482.1
1950276.680.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurkina FasoTanzania
2015301.5278.6–322.3114.895.2–137.4
2016301.6278.8–316.1108.391.6–125.6
2017304.7279.1–320.9114.893.6–137.8
2018305.6287.7–324.5116.497.4–137.1
2019299.1275.1–327.4113.495.2–133.2
2020301.4280.4–326.7119.396.2–143.5
2021306.3286.3–324.6119.5100.9–147.1
2022309.9284.7–326.3124.4105.3–147.4
2023303.9284.2–324.9122.1102.1–147.8
2024314.6290.4–329.4126.2100–150.1
2025309.1286.3–326.7124.6100.9–154
2026308.4284.8–333.8126.999.1–155.6
2027309.4290.1–329.6128102.9–147.7
2028315.7291.3–332.1129.9106.4–152.1
2029312.7293.8–332.6134.1111–156.5
2030314.8294–329.7129.4106.4–151.1
2031318.3294.9–335.1136.4115.9–158.4
2032316.8288.4–334.4135.1114–166.8
2033319.5291.6–336.9135.2110.9–161.9
2034315290.8–331.4134.7112.5–166.3
2035316.3295.4–337140.2114.6–165
2036316.2292.5–340.3137.8113.3–165.5
2037320.9298–335.8142.9121.5–168.9
2038321.6302.1–336.1147.9124.3–169.3
2039316.9300.1–335.4144.3117.6–171.3
2040320.6297.4–338.4140.5117–178
2041319.7303.1–340.8149.1121.7–175.6
2042319.4297.9–340.3146.3120.5–185.3
2043319.5297.3–335.6144.6117–173
2044325.1301.2–341.9147.7121.2–175.8
2045320.6300.1–341.4150.1125.2–183.4
2046324.4302.8–338161.5128.6–192.2
2047324304.1–344.8160.2129.7–194.4
2048323.9307–341.3158.8132.7–193.1
2049330.1308–342.5157.6131.1–196
2050326.2302.4–342.3159.7127.8–192
2051325308.4–342.8163.2135.5–197.8
2052323.3305.7–342.2161.9136.2–199.1
2053326.1303.8–343.8160.6127.5–197.7
2054329.9306.2–346.3163.2131.5–200.2
2055326.1306.7–341.6167.4137–208.3
2056330.4305.8–346.1166.4130.8–209.7
2057332.8310.2–349.5168134.6–208.3
2058326.9308.7–346.1168.7134.9–210.3
2059330.9312.9–352.1174.7144.9–219.5
2060329.8309.1–348.3181.7138.1–219.8
2061330.4308.6–349.7171.8135.5–218.1
2062328.9306.7–344.4177.5139.9–224
2063333.4307.6–347.8181.4140.1–213.8
2064330.5311.7–352.2185.3140.1–215.2
2065331.3316.3–351.2183.5141.1–221.8
2066331.6311.1–348.1181.9146.3–219.3
2067331.4306.8–349.9178.8138.8–229.2
2068334.9313.7–353.8186144.2–228.4
2069332.4314.1–345.4183.7141.7–225.3
2070333.5312–349180.7140.4–228.2
2071335.3312.3–348.8184.9146.9–235.2
2072339.6318.4–350.6191.3155–226.1
2073333.6312.8–348191.6152.4–235.6
2074332.2311.4–348.7183.3149.7–231.7
2075333.1316.8–350.7183.8144.8–233
2076336.1315.6–349.7191.1150.9–233.2
2077339.7315.9–354.5191.3152.6–238.2
2078338.9318.9–348.4189156.6–233.8
2079335.1319.3–350.6190.5147–237.3
2080339.1316–355.1197.3150.7–241.2
2081336.1310.9–352.7195.6153.4–237.4
2082336.1315.8–351.3194.5157.3–237.3
2083337.4319.9–355.5193.2151–249.8
2084336318.8–355.3201.1152.2–246.7
2085339.7318.5–356.3204.2162.3–252.3
2086338.9318.1–353.1195156–248.7
2087338.2316.6–354.8196.7160.8–244.5
2088336.6315.1–351.8208.4154.7–246.9
2089335.9318.8–351.7201.3158.6–248.2
2090337.9315.4–354.2197.9160.7–253.6
2091338.3313.7–354.4210161.6–256
2092337.5312.4–353.6205.8158.3–253.6
2093341.4319.5–355.1207.2161.2–251.9
2094340.2317–355.9207.9161.3–250.6
2095338.6317.5–354.7214.2166.4–258.5
2096337.1318.6–358.2205.3159.8–257.4
2097336.6312.6–351.9206.6158.4–256.8
2098336.1315.6–354.2209.1161–258.3
2099337.9322.1–353.7208.5160.1–256
2100341.5313.9–356.9208158.6–258.6

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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