Iran vs South Africa

Iran vs South Africa: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 63.7 nights, or 3.35 times that in South Africa.

nights a year · CMIP6

Iran vs South Africa: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 63.7 nights, or 3.35 times that in South Africa.
IranSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iran at 124.4 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearIranSouth Africa
201490.827.1
201390.628.3
201290.327.9
201189.826.1
20108726
200987.225.8
20088824.8
200787.924.7
200688.225.5
200587.125.3
200486.425.8
200385.925.1
200287.725
200186.624.5
200086.523.3
199985.123
199883.823.4
199784.322.5
199682.420.4
199581.619.3
199480.620
199377.718.1
19927718.1
199181.922.3
199083.122.7
198981.722
198880.421.2
198779.821.9
198680.121
198579.718.9
198478.820
198375.519
198277.920.3
198180.220
198079.421.2
197980.219.9
197878.119.8
197777.819.2
197677.219.2
197576.618.8
197476.419.7
197376.919.6
197277.419
19717519.1
197075.318.6
196975.618.7
196876.317.8
196776.117.5
196675.517.8
196575.317.2
196475.314.9
196376.416.5
196277.519.6
196177.719.7
196077.619.8
195976.818.5
195878.419.3
195778.219.4
195676.218
195576.519.5
195477.618.4
195377.318.4
195278.219.3
195176.618.9
195077.718.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranSouth Africa
201594.482.7–10628.620–39.5
201694.183.1–105.326.817.8–37.9
201793.981.7–10428.919.6–37.8
201894.183–106.329.620.6–40.6
201995.183.4–105.829.820.8–41.5
202095.985.5–107.529.518.9–39.1
202197.286–107.731.121.4–42.9
202296.285.2–108.33223.7–43.1
202398.485.7–110.631.922.9–41.8
20249885.1–110.53324–45.6
202598.787.2–110.531.920.7–44.5
202699.186.7–111.734.521.9–46.9
2027100.288.7–112.134.423–47.7
202899.686.2–111.633.522.9–46
202999.386.7–109.936.226.5–48.3
2030100.889.8–111.636.124.9–49
2031102.990.1–114.836.324.5–50.3
2032101.289–113.936.424.5–49.2
2033102.889.9–115.136.924.5–48.3
2034104.690.7–117.337.626.4–51.8
203510592.1–116.237.625.2–49.5
2036103.591.4–115.23826.5–50.5
203710693.1–119.439.928.2–53.4
2038105.993.2–116.541.528.4–54.2
2039104.392.9–116.639.227–52.9
2040105.592.3–118.438.125.6–55.6
2041104.892.5–116.440.227.4–54.3
2042107.793.4–120.74229–56.4
204310692.9–118.842.128.2–58.4
2044106.893.6–121.241.929.5–57.8
2045108.795.1–121.842.728.2–59
2046109.296.1–121.944.130–59.5
2047110.596.9–123.344.630.7–61.2
2048111.498.6–1244531.9–61.5
204911095.7–123.445.632.3–61.4
2050112.199.6–125.146.931–63.6
2051111.797.6–124.147.532–65
205211298.3–12648.332.7–64.3
2053111.597.5–12445.733.7–62.1
2054111.899–126.34833.3–64.3
2055114.6101.4–12846.833–68.4
2056113.1100.2–126.247.933.2–64.8
2057113.899.9–128.950.232.6–68.9
2058114.2100–127.747.934–66.4
2059113.498.9–126.351.333.1–66.9
2060116.3100.3–129.551.936–69.9
2061115100.5–127.650.534.8–71.3
2062115.799.7–131.150.532.7–71
2063117103.7–130.350.434.3–69.7
2064115.1101.7–130.35134.1–67.7
2065117.3102.8–132.350.433.6–70.2
2066117.7103.7–132.15335.7–72.4
2067119103–133.550.634.8–70.4
2068118.1104.3–131.454.837.8–72.5
2069118.4103.8–133.254.339.1–73.4
2070118.2104.9–132.954.337.2–73.3
2071119.3105.1–135.355.837.9–76.9
2072119103.2–135.15639.4–78.6
2073120.6104.9–137.760.443.4–80.3
2074119.1104.4–134.557.439.1–75.3
2075119.7105.9–135.556.137.7–76
2076118.9102.6–13758.538.4–75.3
2077120.3104.3–135.357.341–80.5
2078119.2105.3–1365639.5–79
2079120.1103.2–135.657.639.3–78
2080120.4106.1–139.559.540.3–80.9
2081120.5104.3–137.15841.5–79.6
2082122.5107.5–137.758.839.7–77.7
2083122.6105.8–140.460.839.1–82.9
2084123.7107.6–139.162.540.4–82.9
2085121.3106.6–140.660.741.3–87.6
2086122.1107.9–139.860.542.1–83.3
2087123.7108–140.757.941–82.9
2088124106.5–142.264.243.4–85.3
2089124.1109–139.761.541.3–81.2
2090122.5105.4–141.961.641.5–86.8
2091124.3108–140.563.341.6–86.3
2092125.5110.1–14063.144.9–84.8
2093124.5109–139.362.443.2–86.1
2094125108.7–142.963.145.6–87.4
2095125.3108.5–14165.342.6–91.7
2096125.8109–142.46142.7–90.1
2097123.6106.9–141.858.841.2–84.6
2098125.8109.4–143.865.143.8–89.8
2099123.1107.8–140.164.345–87
2100124.4107.9–143.758.742–88.2

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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