Iran vs Sudan

Iran vs Sudan: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 151.6 nights, or 2.67 times that in Iran.

nights a year · CMIP6

Iran vs Sudan: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 151.6 nights, or 2.67 times that in Iran.
IranSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearIranSudan
201490.8242.4
201390.6240
201290.3242
201189.8242.2
201087240.6
200987.2236.5
200888237.1
200787.9236
200688.2235.3
200587.1233.1
200486.4233.5
200385.9235.6
200287.7234.7
200186.6235.4
200086.5230.5
199985.1232.1
199883.8230.2
199784.3231.1
199682.4227.3
199581.6227.8
199480.6225.3
199377.7219.1
199277217.8
199181.9227.3
199083.1227.5
198981.7223
198880.4223.1
198779.8224.4
198680.1226.4
198579.7222.1
198478.8220.7
198375.5217
198277.9216.3
198180.2223.2
198079.4220
197980.2218.4
197878.1218.5
197777.8219.3
197677.2220.1
197576.6215.7
197476.4217.5
197376.9220
197277.4217.9
197175215.5
197075.3217
196975.6213.1
196876.3214
196776.1210.3
196675.5213.3
196575.3213.4
196475.3213.2
196376.4210.1
196277.5217
196177.7216.9
196077.6221.3
195976.8217.8
195878.4216.2
195778.2218.9
195676.2217.2
195576.5216.6
195477.6218.9
195377.3215.1
195278.2216.4
195176.6218.5
195077.7214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranSudan
201594.482.7–106242.3225.3–258.3
201694.183.1–105.3241.4223.3–254.1
201793.981.7–104243.2223–259.1
201894.183–106.3242.3226.4–258.5
201995.183.4–105.8243.1221.7–260.4
202095.985.5–107.5244.9225.9–261.7
202197.286–107.7245.6229.1–261.5
202296.285.2–108.3249230.9–262.3
202398.485.7–110.6247.1226.8–263.1
20249885.1–110.5251.5232.8–266.1
202598.787.2–110.5250.7232.4–265.6
202699.186.7–111.7250230.8–266.6
2027100.288.7–112.1248.8228.4–265.6
202899.686.2–111.6249232.2–263.1
202999.386.7–109.9251.4232.1–266
2030100.889.8–111.6252235.4–266.7
2031102.990.1–114.8253.3234.4–268.9
2032101.289–113.9250.4232.3–266.6
2033102.889.9–115.1254.4235.3–269.4
2034104.690.7–117.3254.2234.5–269.9
203510592.1–116.2258.3240.2–273.6
2036103.591.4–115.2252.8235.6–268.6
203710693.1–119.4256.7238.6–271.8
2038105.993.2–116.5258.7244.8–272.1
2039104.392.9–116.6259.5241.2–272.5
2040105.592.3–118.4256.4236.7–272.3
2041104.892.5–116.4259.1241.2–274.5
2042107.793.4–120.7258.7242–274.7
204310692.9–118.8258.1240.3–272.6
2044106.893.6–121.2257.3238.6–274.7
2045108.795.1–121.8258.8243.1–276.2
2046109.296.1–121.9261.1241.7–277.6
2047110.596.9–123.3261.4244.6–278.4
2048111.498.6–124260.4243.4–279.5
204911095.7–123.4261.9242.6–275.9
2050112.199.6–125.1263.5245.4–279
2051111.797.6–124.1263.6246.6–278.8
205211298.3–126263.8248.7–278.3
2053111.597.5–124262.8242.4–279.2
2054111.899–126.3266.3246.6–282.9
2055114.6101.4–128265.6245.9–281.4
2056113.1100.2–126.2264.1242.6–281.5
2057113.899.9–128.9266.4247.6–283.4
2058114.2100–127.7265.2247.4–280.3
2059113.498.9–126.3268.4249.6–285.4
2060116.3100.3–129.5263.6246.7–284.4
2061115100.5–127.6266.9250.1–281.9
2062115.799.7–131.1266.4248.5–285
2063117103.7–130.3267.1246.9–283.4
2064115.1101.7–130.3269250.7–284.7
2065117.3102.8–132.3269.8253.9–285.6
2066117.7103.7–132.1271.4251.9–287.3
2067119103–133.5270.9250–288.4
2068118.1104.3–131.4271.9251.7–289.8
2069118.4103.8–133.2268251.1–286.2
2070118.2104.9–132.9269252.3–285.8
2071119.3105.1–135.3275.5254.1–290.4
2072119103.2–135.1273.3254.2–289.4
2073120.6104.9–137.7271.9250.7–287.6
2074119.1104.4–134.5270.9249–290.1
2075119.7105.9–135.5273.1254–291.9
2076118.9102.6–137272.7255.2–290.9
2077120.3104.3–135.3274.6255.2–292.7
2078119.2105.3–136274.3255.6–291.2
2079120.1103.2–135.6272255.2–288.5
2080120.4106.1–139.5276.6256–292.2
2081120.5104.3–137.1275.1254.1–294.8
2082122.5107.5–137.7272.9258.7–288.6
2083122.6105.8–140.4276.5258–291.7
2084123.7107.6–139.1275.4253–294.9
2085121.3106.6–140.6275.3258.6–291.6
2086122.1107.9–139.8276.4256.9–296.6
2087123.7108–140.7273.5253.1–293.3
2088124106.5–142.2273.6253.7–293.6
2089124.1109–139.7276.5256.6–293.4
2090122.5105.4–141.9276.6256.4–294.6
2091124.3108–140.5277.4256.4–296.6
2092125.5110.1–140274.6254.3–294.9
2093124.5109–139.3278261.9–292.1
2094125108.7–142.9280.3262.2–294
2095125.3108.5–141277.5262.6–294
2096125.8109–142.4279.7258.7–297
2097123.6106.9–141.8276.3254.1–297.6
2098125.8109.4–143.8277.7258.2–295.5
2099123.1107.8–140.1276.8257.2–296.2
2100124.4107.9–143.7278.6259–294.3

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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