Ethiopia vs Thailand

Ethiopia vs Thailand: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 141.5 nights, or 1.98 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Thailand: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 141.5 nights, or 1.98 times that in Ethiopia.
EthiopiaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaThailand
2014144.9286.4
2013145.1289.1
2012144.4286.6
2011145.6286.4
2010142.4286
2009140.3286.9
2008137.1284.8
2007138.2283.2
2006138.7284.3
2005138.1281.7
2004139.1287.5
2003138.8279.3
2002137.4280
2001139.2285.5
2000135.5283.4
1999132.6282.5
1998132.9282.7
1997132.7284.8
1996129.7279.8
1995127.8278.7
1994126.3280.8
1993122.5275.6
1992119.7268.8
1991129.5276.7
1990132.7279.2
1989129.4278.4
1988128.2279.6
1987126.4277.9
1986128.1277.5
1985122.8276
1984124.8277.9
1983120.6273.9
1982126.3275.7
1981127277.8
1980124.9277.9
1979125.1278
1978124.7276
1977125.8277.3
1976122275.6
1975119.5274.4
1974124276
1973125.2280.6
1972122.3273.9
1971120.6273.2
1970121.3276
1969120.4274.8
1968119.1277
1967118.1270.3
1966119.5274.4
1965117.4275.8
1964116.6271.9
1963115.7274.7
1962121.6275.4
1961124.2278.5
1960124.5276.2
1959121.6274.4
1958124.1278.7
1957123.2277.4
1956120.9277
1955122.8274.6
1954121.6275
1953121.2275.4
1952122.8275.1
1951123277.5
1950122276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaThailand
2015146.6129.4–163.9290.6272.2–305
2016144.1127–160.6287.1269.8–306.2
2017148.3129.2–164.9290273.8–302.8
2018149.6131.6–166292.6275.1–308.7
2019146.2129.3–166291.2272.8–306.7
2020149.4129.6–168.5292.4272.2–307.8
2021150.7132.1–170294.2276.3–308.5
2022154135.7–171.2294.8277.2–311.9
2023153.5135.4–171.4296.1281.9–310.2
2024156.5135.9–175.6291.7275.5–307.8
2025154132.6–175.5294276.7–306.3
2026153132–175296278–309.3
2027154.2134.4–175.3295.8276.3–311.1
2028157.5138.3–177.4297279.3–315.1
2029159.2141.8–176.8300.3278.7–315
2030156.8136.3–175.7297.7280.2–312.5
2031161.4142.4–179.1300.8282.8–317.1
2032161.7143.1–182.5297.2280.9–311.4
2033161.8140–180.9300281.9–315.8
2034158.8141.5–184.3300.8279–318.4
2035162141.7–184.2298.6281.5–317.8
2036160.5143.6–179.4300.4279.9–316.9
2037165145.8–184.5299.8280–315.1
2038167.1146.5–186.7304.8286.6–319.3
2039164.5143.9–186300.9281.9–317
2040165.9146.2–190.1301.6284.5–315.7
2041167.9146.3–189.3303.1285.1–318.8
2042167.7146–194.3303.8290–318.3
2043167.3145.5–190.8302285.8–317.9
2044168.2148.2–189.9304.3286.3–318.8
2045170.7149.1–192.3307.1287.7–324.2
2046175.3150–198.6305.9285.2–321
2047176.9151.8–197.5306.6289.5–321.5
2048177.5155.4–199.1309.4288.9–325.7
2049177.5157.9–198.4308.1287.2–324.1
2050176.4153.8–199307.5291–321.5
2051176.6155.3–199.7312.8294.8–326
2052177155.6–200.7310.9291.2–323.4
2053176.7154.2–201.6308.3289.5–323.3
2054177.6156.9–201.1308.8292.8–322.3
2055180.6155.2–202.3308.6290.6–325.1
2056177.3155–205.4311.3294.9–326.3
2057180.3159.3–205.5308.5286.7–326.4
2058182.6153.7–209.4308291.1–325.1
2059185.7160.1–210.6312.7295.8–325.3
2060185.9160.3–210.4313.1294.6–328.6
2061183.3158.3–211.7314.4289.5–331.1
2062183.8155.4–213311.4293.4–330.3
2063184.5159.1–208.6314.8296.9–327.3
2064186.7160.6–207.2312.5295.4–330
2065183.7162.4–212.9309.6293.1–329.3
2066187.1165.4–210.1312.1292.6–328
2067187.1160.7–214.5311.2289.6–329.4
2068187.6160.4–215.8310.8292.4–330.6
2069187.8165.4–215.8315.5296.1–329.5
2070187.9161.6–216.9314.2292.9–330.7
2071192.7165.2–219.5313.8296.4–330.8
2072193.6167.4–214.5314.8296–329.6
2073193.3169.7–218.7316.5299.9–332.1
2074188.5163.9–219317.2295–333.8
2075191.9162.7–218.6317.2295.3–331.4
2076195166.9–218.9317.4299.8–335
2077194.1169.3–223.3317.5297.3–335.9
2078192.1168.4–218.6315.9297.1–331.6
2079193.4166.6–220.9318.5300.5–332.3
2080196.1169.2–222.4319.8297.4–337.5
2081194.6171–221.4317.7299.5–334.9
2082195.4168.8–219.9317.9294.8–333
2083194.6168.2–228.7315297.8–332.9
2084198.5170.7–224.2316295.5–330
2085198.4173.1–226.3322.6300.8–334.7
2086198.6172.3–228.4319.4295.2–335.2
2087199170.6–226.6320.2302.2–334.7
2088199170.7–227.7321.4299.8–334.8
2089198.6171.2–226.2318.9296.4–338.1
2090198.6173.4–227.7317.6304–337.4
2091203.6171.9–232.1320.1299.8–336.1
2092200.7172.5–229.7316.3298–336.4
2093201.4175.2–228.6316.1297.7–333.7
2094200.2174–228.9323.4301.8–337.3
2095203.9175.7–231.9322.9302.4–338.9
2096199.1170.5–230.8319.6302.8–336.7
2097198.4171.8–229.3319.8299.1–336
2098198.7172.1–231.5320.5303.9–336
2099201.8172.8–233.3319.9303.1–334.4
2100201.7175.1–231.8320.8301.1–336.7

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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