Tanzania vs Türkiye

Tanzania vs Türkiye: Tropical nights

Tropical nights in 2014: 106.3 nights in Tanzania and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 86.5 nights, or 5.36 times that in Türkiye.

nights a year · CMIP6

Tanzania vs Türkiye: Tropical nightsTropical nights in 2014: 106.3 nights in Tanzania and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 86.5 nights, or 5.36 times that in Türkiye.
TanzaniaTürkiyeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Tanzania at 208 nights and Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearTanzaniaTürkiye
2014106.319.8
2013105.518.5
2012108.418.7
201110918.5
2010103.918.7
2009101.117.6
2008100.318.2
200799.516.6
2006100.417.7
200598.717.2
2004100.417.1
200399.617.6
200298.416.8
2001101.517.3
200094.916.4
199994.215.9
199896.814.7
199793.515
199689.614.8
199588.514.1
199485.413.5
199381.212.1
199280.111.5
199189.613.4
199091.114.6
198989.113.1
198887.612.9
198788.512.5
198689.413.3
19858312.4
198483.111.9
198382.110.7
198284.812.4
19818812.2
19808512.4
197985.512
197882.911.5
197784.111.2
19768112
197580.811.5
197482.211.8
197383.611.6
197281.411.5
197180.712.1
197081.811.6
196979.512
196879.112
196777.511.3
196678.111.5
19657810.8
196473.811.2
196373.112
196281.111.8
196182.612
196083.912.9
195981.412.6
195882.113
195780.912.2
19568012.7
195581.611.9
195481.411.9
195380.612.9
195281.412.1
195182.112.5
195080.712.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearTanzaniaTürkiye
2015114.895.2–137.422.216.2–29.8
2016108.391.6–125.621.114.7–29.6
2017114.893.6–137.821.914.3–29.4
2018116.497.4–137.122.916–29.9
2019113.495.2–133.221.916.4–29.5
2020119.396.2–143.523.617–31.6
2021119.5100.9–147.12317.1–30.9
2022124.4105.3–147.423.617.3–31.6
2023122.1102.1–147.824.717.8–33.4
2024126.2100–150.125.418.6–34.1
2025124.6100.9–1542518.1–33
2026126.999.1–155.625.618.3–34.1
2027128102.9–147.724.816.9–34.8
2028129.9106.4–152.125.218.7–32
2029134.1111–156.526.219.8–34.4
2030129.4106.4–151.125.919.3–34.5
2031136.4115.9–158.426.419.7–35.1
2032135.1114–166.827.219.9–35.6
2033135.2110.9–161.928.721.4–36.9
2034134.7112.5–166.327.620.8–34.7
2035140.2114.6–16528.721.7–37
2036137.8113.3–165.528.720.9–38.1
2037142.9121.5–168.929.721.3–38.6
2038147.9124.3–169.329.922–41.6
2039144.3117.6–171.330.923.6–40.3
2040140.5117–17830.923.2–40.9
2041149.1121.7–175.630.122.2–40.5
2042146.3120.5–185.329.920.1–40.7
2043144.6117–1733123.6–40.4
2044147.7121.2–175.830.823.1–43.5
2045150.1125.2–183.432.424–43.1
2046161.5128.6–192.232.923.5–42.8
2047160.2129.7–194.432.324.1–44.9
2048158.8132.7–193.134.123–45.9
2049157.6131.1–19631.622.1–43.2
2050159.7127.8–19233.423.8–44.2
2051163.2135.5–197.834.125–43.1
2052161.9136.2–199.133.325.3–42.6
2053160.6127.5–197.735.326.6–44.2
2054163.2131.5–200.234.624–44.1
2055167.4137–208.335.425.9–47.7
2056166.4130.8–209.734.424.1–45.6
2057168134.6–208.336.326–47.4
2058168.7134.9–210.336.425.8–51.8
2059174.7144.9–219.537.124.8–48.1
2060181.7138.1–219.835.826.7–48.3
2061171.8135.5–218.138.826.3–49.7
2062177.5139.9–22437.725.3–49.5
2063181.4140.1–213.838.426.6–51.7
2064185.3140.1–215.238.928.4–49.9
2065183.5141.1–221.839.628.6–49.4
2066181.9146.3–219.336.325–49.1
2067178.8138.8–229.238.327.7–50.7
2068186144.2–228.439.928–50.7
2069183.7141.7–225.339.729.2–52.2
2070180.7140.4–228.239.527.6–51.7
2071184.9146.9–235.239.829.1–51.7
2072191.3155–226.141.928.9–54.2
2073191.6152.4–235.640.927.2–54.6
2074183.3149.7–231.739.428–51.9
2075183.8144.8–23339.828.4–53.9
2076191.1150.9–233.241.529.1–53.7
2077191.3152.6–238.241.329–53.3
2078189156.6–233.842.231.3–52.9
2079190.5147–237.34430.8–56.6
2080197.3150.7–241.243.432.5–54.9
2081195.6153.4–237.442.131.7–54.6
2082194.5157.3–237.343.630.9–56
2083193.2151–249.84629.6–57.6
2084201.1152.2–246.745.131–56.8
2085204.2162.3–252.343.330.3–54.5
2086195156–248.743.830.2–56.4
2087196.7160.8–244.544.229.2–59
2088208.4154.7–246.944.932.7–58.1
2089201.3158.6–248.244.630.7–59.3
2090197.9160.7–253.646.132.8–59.2
2091210161.6–25645.332.2–61.2
2092205.8158.3–253.645.631.1–59.2
2093207.2161.2–251.947.631.5–61.8
2094207.9161.3–250.647.533.7–61.2
2095214.2166.4–258.546.232.3–60.2
2096205.3159.8–257.445.731.1–60.7
2097206.6158.4–256.848.432.1–61
2098209.1161–258.346.431.2–59.5
2099208.5160.1–25645.430.8–58
2100208158.6–258.645.530.4–60.1

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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