Ethiopia vs Iran

Ethiopia vs Iran: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 54.1 nights, or 1.6 times that in Iran.

nights a year · CMIP6

Ethiopia vs Iran: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 54.1 nights, or 1.6 times that in Iran.
EthiopiaIranCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ethiopia at 201.7 nights and Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaIran
2014144.990.8
2013145.190.6
2012144.490.3
2011145.689.8
2010142.487
2009140.387.2
2008137.188
2007138.287.9
2006138.788.2
2005138.187.1
2004139.186.4
2003138.885.9
2002137.487.7
2001139.286.6
2000135.586.5
1999132.685.1
1998132.983.8
1997132.784.3
1996129.782.4
1995127.881.6
1994126.380.6
1993122.577.7
1992119.777
1991129.581.9
1990132.783.1
1989129.481.7
1988128.280.4
1987126.479.8
1986128.180.1
1985122.879.7
1984124.878.8
1983120.675.5
1982126.377.9
198112780.2
1980124.979.4
1979125.180.2
1978124.778.1
1977125.877.8
197612277.2
1975119.576.6
197412476.4
1973125.276.9
1972122.377.4
1971120.675
1970121.375.3
1969120.475.6
1968119.176.3
1967118.176.1
1966119.575.5
1965117.475.3
1964116.675.3
1963115.776.4
1962121.677.5
1961124.277.7
1960124.577.6
1959121.676.8
1958124.178.4
1957123.278.2
1956120.976.2
1955122.876.5
1954121.677.6
1953121.277.3
1952122.878.2
195112376.6
195012277.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaIran
2015146.6129.4–163.994.482.7–106
2016144.1127–160.694.183.1–105.3
2017148.3129.2–164.993.981.7–104
2018149.6131.6–16694.183–106.3
2019146.2129.3–16695.183.4–105.8
2020149.4129.6–168.595.985.5–107.5
2021150.7132.1–17097.286–107.7
2022154135.7–171.296.285.2–108.3
2023153.5135.4–171.498.485.7–110.6
2024156.5135.9–175.69885.1–110.5
2025154132.6–175.598.787.2–110.5
2026153132–17599.186.7–111.7
2027154.2134.4–175.3100.288.7–112.1
2028157.5138.3–177.499.686.2–111.6
2029159.2141.8–176.899.386.7–109.9
2030156.8136.3–175.7100.889.8–111.6
2031161.4142.4–179.1102.990.1–114.8
2032161.7143.1–182.5101.289–113.9
2033161.8140–180.9102.889.9–115.1
2034158.8141.5–184.3104.690.7–117.3
2035162141.7–184.210592.1–116.2
2036160.5143.6–179.4103.591.4–115.2
2037165145.8–184.510693.1–119.4
2038167.1146.5–186.7105.993.2–116.5
2039164.5143.9–186104.392.9–116.6
2040165.9146.2–190.1105.592.3–118.4
2041167.9146.3–189.3104.892.5–116.4
2042167.7146–194.3107.793.4–120.7
2043167.3145.5–190.810692.9–118.8
2044168.2148.2–189.9106.893.6–121.2
2045170.7149.1–192.3108.795.1–121.8
2046175.3150–198.6109.296.1–121.9
2047176.9151.8–197.5110.596.9–123.3
2048177.5155.4–199.1111.498.6–124
2049177.5157.9–198.411095.7–123.4
2050176.4153.8–199112.199.6–125.1
2051176.6155.3–199.7111.797.6–124.1
2052177155.6–200.711298.3–126
2053176.7154.2–201.6111.597.5–124
2054177.6156.9–201.1111.899–126.3
2055180.6155.2–202.3114.6101.4–128
2056177.3155–205.4113.1100.2–126.2
2057180.3159.3–205.5113.899.9–128.9
2058182.6153.7–209.4114.2100–127.7
2059185.7160.1–210.6113.498.9–126.3
2060185.9160.3–210.4116.3100.3–129.5
2061183.3158.3–211.7115100.5–127.6
2062183.8155.4–213115.799.7–131.1
2063184.5159.1–208.6117103.7–130.3
2064186.7160.6–207.2115.1101.7–130.3
2065183.7162.4–212.9117.3102.8–132.3
2066187.1165.4–210.1117.7103.7–132.1
2067187.1160.7–214.5119103–133.5
2068187.6160.4–215.8118.1104.3–131.4
2069187.8165.4–215.8118.4103.8–133.2
2070187.9161.6–216.9118.2104.9–132.9
2071192.7165.2–219.5119.3105.1–135.3
2072193.6167.4–214.5119103.2–135.1
2073193.3169.7–218.7120.6104.9–137.7
2074188.5163.9–219119.1104.4–134.5
2075191.9162.7–218.6119.7105.9–135.5
2076195166.9–218.9118.9102.6–137
2077194.1169.3–223.3120.3104.3–135.3
2078192.1168.4–218.6119.2105.3–136
2079193.4166.6–220.9120.1103.2–135.6
2080196.1169.2–222.4120.4106.1–139.5
2081194.6171–221.4120.5104.3–137.1
2082195.4168.8–219.9122.5107.5–137.7
2083194.6168.2–228.7122.6105.8–140.4
2084198.5170.7–224.2123.7107.6–139.1
2085198.4173.1–226.3121.3106.6–140.6
2086198.6172.3–228.4122.1107.9–139.8
2087199170.6–226.6123.7108–140.7
2088199170.7–227.7124106.5–142.2
2089198.6171.2–226.2124.1109–139.7
2090198.6173.4–227.7122.5105.4–141.9
2091203.6171.9–232.1124.3108–140.5
2092200.7172.5–229.7125.5110.1–140
2093201.4175.2–228.6124.5109–139.3
2094200.2174–228.9125108.7–142.9
2095203.9175.7–231.9125.3108.5–141
2096199.1170.5–230.8125.8109–142.4
2097198.4171.8–229.3123.6106.9–141.8
2098198.7172.1–231.5125.8109.4–143.8
2099201.8172.8–233.3123.1107.8–140.1
2100201.7175.1–231.8124.4107.9–143.7

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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