Ethiopia vs Indonesia

Ethiopia vs Indonesia: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 161.6 nights, or 2.12 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Indonesia: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 161.6 nights, or 2.12 times that in Ethiopia.
EthiopiaIndonesiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaIndonesia
2014144.9306.5
2013145.1306.4
2012144.4306.3
2011145.6304.6
2010142.4305.6
2009140.3303.9
2008137.1303.4
2007138.2302.8
2006138.7302.8
2005138.1303.1
2004139.1303.8
2003138.8301.9
2002137.4301.5
2001139.2302.5
2000135.5300.9
1999132.6300.4
1998132.9299.1
1997132.7297.9
1996129.7296.9
1995127.8296.7
1994126.3294.6
1993122.5291.6
1992119.7288.5
1991129.5297.5
1990132.7298.6
1989129.4296
1988128.2296.5
1987126.4295.6
1986128.1295.8
1985122.8292.8
1984124.8293.4
1983120.6290.1
1982126.3294.4
1981127294.8
1980124.9294.5
1979125.1294.1
1978124.7292.4
1977125.8293.4
1976122290.8
1975119.5290.7
1974124291.5
1973125.2293
1972122.3290.7
1971120.6291.2
1970121.3288.9
1969120.4290.4
1968119.1289.1
1967118.1288.4
1966119.5290.5
1965117.4288.1
1964116.6286.2
1963115.7286.4
1962121.6291.2
1961124.2292.9
1960124.5292.8
1959121.6291.9
1958124.1293.3
1957123.2290.8
1956120.9291.5
1955122.8292.4
1954121.6290
1953121.2291.4
1952122.8291.7
1951123291.7
1950122291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaIndonesia
2015146.6129.4–163.9308295.7–315.1
2016144.1127–160.6307.5296.9–315.6
2017148.3129.2–164.9308.4295.5–315.6
2018149.6131.6–166308.9296.4–316.6
2019146.2129.3–166309.9297.8–316.7
2020149.4129.6–168.5310.9299–318.6
2021150.7132.1–170310.4298.7–316.4
2022154135.7–171.2311.4300–319.6
2023153.5135.4–171.4311.4300.1–320.6
2024156.5135.9–175.6313.2302–321.2
2025154132.6–175.5312300.2–321.9
2026153132–175312.6299.9–322.8
2027154.2134.4–175.3312.7301–321.6
2028157.5138.3–177.4313.8302.4–321.9
2029159.2141.8–176.8315.5303.9–324.1
2030156.8136.3–175.7314.2303.1–322.6
2031161.4142.4–179.1314.4301.6–321.9
2032161.7143.1–182.5316.9304.8–325.8
2033161.8140–180.9316.6305.4–323.3
2034158.8141.5–184.3315.4303.9–323.9
2035162141.7–184.2316.3305.6–327.9
2036160.5143.6–179.4317.7305.2–326.2
2037165145.8–184.5318.1306.6–325.2
2038167.1146.5–186.7319.3307.6–326.7
2039164.5143.9–186319.4307.7–326.7
2040165.9146.2–190.1318.5306.5–329
2041167.9146.3–189.3320.2308.3–328
2042167.7146–194.3320308.7–329.2
2043167.3145.5–190.8318.6306.6–327.8
2044168.2148.2–189.9321309–329.6
2045170.7149.1–192.3320.8308.6–329.8
2046175.3150–198.6322.8308.8–331
2047176.9151.8–197.5323.2308.8–333
2048177.5155.4–199.1322.3310.5–332.3
2049177.5157.9–198.4323.8311.6–334.1
2050176.4153.8–199323.3310.3–333.5
2051176.6155.3–199.7323.6311.2–334.4
2052177155.6–200.7325.1311.7–334.7
2053176.7154.2–201.6323.9310.9–333.8
2054177.6156.9–201.1324.4311.9–335.4
2055180.6155.2–202.3325.3312.6–335
2056177.3155–205.4325.9312.4–337.2
2057180.3159.3–205.5326.9311.9–335.2
2058182.6153.7–209.4326.4313–336.3
2059185.7160.1–210.6326.4313.9–337.8
2060185.9160.3–210.4329.5314.9–338.2
2061183.3158.3–211.7327.9313.6–336.9
2062183.8155.4–213327.6312.4–339.1
2063184.5159.1–208.6327.6313.9–339.4
2064186.7160.6–207.2328.8314.4–338.6
2065183.7162.4–212.9327.6314.3–337.9
2066187.1165.4–210.1328.6314.7–338.5
2067187.1160.7–214.5328.8314.3–338
2068187.6160.4–215.8329.8314.4–339.9
2069187.8165.4–215.8329.5315.5–339.3
2070187.9161.6–216.9328.6315.1–338.8
2071192.7165.2–219.5331.4315.5–340.4
2072193.6167.4–214.5330.3315.9–339.4
2073193.3169.7–218.7331.4317.7–341
2074188.5163.9–219329.9316.8–341.1
2075191.9162.7–218.6330.5315.2–340.2
2076195166.9–218.9331.5316.2–341.2
2077194.1169.3–223.3332315.9–341.8
2078192.1168.4–218.6331.4318.2–340.9
2079193.4166.6–220.9331.5316.6–341.5
2080196.1169.2–222.4332.4317.4–343.2
2081194.6171–221.4332.3318.4–341.8
2082195.4168.8–219.9332.8317.8–340.4
2083194.6168.2–228.7333.1318.7–342.6
2084198.5170.7–224.2333317.8–342.7
2085198.4173.1–226.3332.6318.1–342.7
2086198.6172.3–228.4333.1318.9–342.3
2087199170.6–226.6332.6318–343.2
2088199170.7–227.7334.5319.5–343.1
2089198.6171.2–226.2333.6319–342.6
2090198.6173.4–227.7333.3319.6–343.3
2091203.6171.9–232.1334.5318.2–343.9
2092200.7172.5–229.7335.1319.7–343.6
2093201.4175.2–228.6333.9320–344.9
2094200.2174–228.9335.6320.4–342.8
2095203.9175.7–231.9335.4319.7–343
2096199.1170.5–230.8334.3319.4–346.1
2097198.4171.8–229.3334.2319.5–343.3
2098198.7172.1–231.5334.9319.4–343.4
2099201.8172.8–233.3334.4319.4–344.6
2100201.7175.1–231.8334.7318.7–343.3

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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