Iran vs Kenya

Iran vs Kenya: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 154.8 nights, or 2.7 times that in Iran.

nights a year · CMIP6

Iran vs Kenya: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 154.8 nights, or 2.7 times that in Iran.
IranKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearIranKenya
201490.8245.6
201390.6245.4
201290.3244.7
201189.8245
201087243.8
200987.2242.3
200888240.3
200787.9240.9
200688.2241.5
200587.1241.2
200486.4241.8
200385.9240.8
200287.7240.7
200186.6242
200086.5239.5
199985.1237.8
199883.8239.2
199784.3236.9
199682.4234.2
199581.6232.9
199480.6231.9
199377.7227.4
199277224.8
199181.9233.8
199083.1236.4
198981.7234.5
198880.4233.1
198779.8232.6
198680.1233
198579.7228.7
198478.8230.2
198375.5226.7
198277.9230.6
198180.2232.9
198079.4231.3
197980.2229.6
197878.1228.7
197777.8229.9
197677.2227.8
197576.6225.9
197476.4230.5
197376.9230.4
197277.4228.7
197175226
197075.3226.3
196975.6225.9
196876.3222.9
196776.1224
196675.5225.2
196575.3224.2
196475.3221.8
196376.4220.2
196277.5227.2
196177.7228.3
196077.6228.8
195976.8228.3
195878.4229.1
195778.2228
195676.2225.5
195576.5228.7
195477.6227.4
195377.3227.6
195278.2228.5
195176.6228.3
195077.7226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranKenya
201594.482.7–106246.9232.3–256.1
201694.183.1–105.3244.9230.1–255
201793.981.7–104248.1233.1–257.7
201894.183–106.3248.7237–257.4
201995.183.4–105.8247.1234.8–256.7
202095.985.5–107.5248.6233.2–259.2
202197.286–107.7249.5236.3–258.1
202296.285.2–108.3251.5239.7–259.5
202398.485.7–110.6251.8239–260.8
20249885.1–110.5254.2239.1–263
202598.787.2–110.5251.5238.1–261.8
202699.186.7–111.7252.2237.2–263.3
2027100.288.7–112.1252.8238.4–263.8
202899.686.2–111.6254.9241.9–264.2
202999.386.7–109.9256243.4–264.6
2030100.889.8–111.6253.6240.6–263.1
2031102.990.1–114.8256244.7–264.4
2032101.289–113.9257243.8–267.1
2033102.889.9–115.1256241.8–265.9
2034104.690.7–117.3256.2241.2–267.9
203510592.1–116.2256.7243.3–266.7
2036103.591.4–115.2256.2242.4–266.7
203710693.1–119.4258.7245.9–268.4
2038105.993.2–116.5260.3244.5–268.9
2039104.392.9–116.6259244.4–268
2040105.592.3–118.4258.3246.2–269.8
2041104.892.5–116.4260.7244.8–271.2
2042107.793.4–120.7260.3246.5–272.7
204310692.9–118.8259246.6–270.5
2044106.893.6–121.2261.2248.8–270.9
2045108.795.1–121.8261.8248.7–272.9
2046109.296.1–121.9264.8249.6–275.3
2047110.596.9–123.3264.4249.8–275.3
2048111.498.6–124264.2252.3–274.9
204911095.7–123.4265.2252.8–275.6
2050112.199.6–125.1263.9249.8–275.1
2051111.797.6–124.1265.4252.1–275.1
205211298.3–126266.3252.6–276.2
2053111.597.5–124265.2251–275.4
2054111.899–126.3265.2250.2–277.2
2055114.6101.4–128266.8251.6–277.6
2056113.1100.2–126.2266.2251.2–277.8
2057113.899.9–128.9266.8253–278
2058114.2100–127.7266.7251.5–277.9
2059113.498.9–126.3269.8254.7–280.5
2060116.3100.3–129.5271.1253.9–280.7
2061115100.5–127.6267.5253.9–281.7
2062115.799.7–131.1268.1254–281.2
2063117103.7–130.3268.9255–280.1
2064115.1101.7–130.3270254.1–279.8
2065117.3102.8–132.3269.4255.8–282.3
2066117.7103.7–132.1270.6258.1–281
2067119103–133.5270.7256.1–283
2068118.1104.3–131.4270.2256–283
2069118.4103.8–133.2269.8256.1–283.3
2070118.2104.9–132.9270.1255.8–282.6
2071119.3105.1–135.3271.9257.9–284.4
2072119103.2–135.1273.5260.3–283.8
2073120.6104.9–137.7273.1259.9–285.4
2074119.1104.4–134.5271.9257.5–285.4
2075119.7105.9–135.5271.1256.5–284.7
2076118.9102.6–137274.1258.6–285.8
2077120.3104.3–135.3273.4259–286.6
2078119.2105.3–136273.1260–284.4
2079120.1103.2–135.6273.3258.7–286.6
2080120.4106.1–139.5275.5259.4–286.9
2081120.5104.3–137.1274.7259.8–285.6
2082122.5107.5–137.7274.8261.3–286.4
2083122.6105.8–140.4274259.6–289.3
2084123.7107.6–139.1276.8259–288.8
2085121.3106.6–140.6276.2261.5–289.1
2086122.1107.9–139.8275.1260–289.1
2087123.7108–140.7276.2260.3–288.5
2088124106.5–142.2276.8261.6–289.7
2089124.1109–139.7275.9260.3–288.8
2090122.5105.4–141.9275.3260.5–290.5
2091124.3108–140.5277.7260.4–290.9
2092125.5110.1–140276.2261.2–290.7
2093124.5109–139.3276.9262–290.1
2094125108.7–142.9277262.8–288.9
2095125.3108.5–141278.4262.3–290.4
2096125.8109–142.4277.6260.5–292
2097123.6106.9–141.8277261–290.2
2098125.8109.4–143.8277.6262.3–291.5
2099123.1107.8–140.1277.9260.8–292.4
2100124.4107.9–143.7277261.8–290.4

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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