Cuba vs Honduras

Cuba vs Honduras: Tropical nights

Tropical nights in 2014: 309.7 nights in Cuba and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 133 nights, or 1.75 times that in Honduras.

nights a year · CMIP6

Cuba vs Honduras: Tropical nightsTropical nights in 2014: 309.7 nights in Cuba and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 133 nights, or 1.75 times that in Honduras.
CubaHondurasCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cuba has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cuba at 346 nights and Honduras at 279.1 nights in 2100.

Every year

nights a year · CMIP6

YearCubaHonduras
2014309.7176.7
2013315.2181.1
2012312181.4
2011312.1180.5
2010313176.9
2009308.8174.4
2008309.3170.5
2007308.5171.8
2006309.9171
2005309.1171.6
2004309.3174.2
2003304.6170.2
2002310.4169.1
2001304.8168.2
2000308.1164.8
1999304.4162.2
1998304.9163
1997299.8160.4
1996298154.7
1995295.1152.5
1994297.3151.9
1993294.5149
1992295.7145
1991299.1156.7
1990302162.1
1989298.1153.8
1988298.3151.1
1987294151.9
1986293.6151.3
1985297.4146.1
1984289.4147.5
1983292.2143.7
1982294148.4
1981293.6150.9
1980295.8147.8
1979295.1148.9
1978290.9146
1977289.3148.6
1976293.4145.5
1975289141.8
1974291.6146.8
1973291.2145.1
1972289.4140.4
1971286.5141.1
1970283.3140.6
1969287.2142.2
1968290.6141.9
1967289.9138.4
1966290.7139.9
1965284.8138.1
1964287.7138.4
1963288.9136.8
1962292.9144.2
1961292.2145.5
1960293.3146.1
1959292.7143.3
1958291.6147.6
1957292144.5
1956294.6143.8
1955293.4146.3
1954289.5144
1953289.2143.2
1952290.9143.6
1951292.1145.5
1950292.3143.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCubaHonduras
2015315.1292.1–332.6186.4151.3–215.3
2016317.9302.7–334.8185.7154.8–211.9
2017317304–329.5194.4164.9–215.2
2018319.5301–334.2190.6168.8–218.5
2019317.6297.3–336.1189161–221
2020319.5296.6–334.3196.8164.4–223
2021320.6301.8–335.1199.3176.3–226.8
2022318.2303.4–331.8202.9173–227.6
2023322.4302.9–336.9198.1175.2–230.1
2024320.1297.1–341.5204.7177.9–233.2
2025319.6297.1–334.8202.7173.9–230.8
2026327.3300.6–343.1206.8174–235.2
2027328.7307.3–344.9206.5177.9–235.7
2028327.5306.8–343.5211.3184–238.7
2029326.5309–340.3210.3185.4–244.5
2030328.8305–342.3208.9176.9–241.7
2031328.6308.6–343.5217.3187.1–246.4
2032332.1308.4–344.7218.9194.5–247.9
2033328.3305.5–342.9213.3188.2–239.7
2034329.4308.9–346.2211.3186.1–248.7
2035325.7307.3–342.4215.3184.2–248.2
2036329307–341.7215.5194.1–242.5
2037332.6311.4–346.9226.4202.4–251.6
2038331.4313–345.1228.9198.7–256.2
2039328305.6–345.9224.4196.6–256.2
2040328.8309–347.6225.1201–258
2041331.4307.4–344.3225.9203–251.8
2042331.6309.6–345.1229.3200.2–262.8
2043332.1311–348.9224.4199–262.5
2044335.1315.6–348.6224.8201.2–262.7
2045336.3317.6–348.6231206.1–262.3
2046328.7309–349.2236.9204.5–267.7
2047334.4316.3–350.1236.3213.3–269.3
2048335.2316.3–349.1241.2216.7–268.9
2049339.5317–350.8244.8213.5–270.7
2050338.7316.7–350.6241.1207.2–277.8
2051337.4313.8–349.8239.9210.5–270.2
2052331311.8–349.4245.1215.7–271.2
2053339.5314.6–351.2240.8211.7–277.5
2054338.4322.5–348.7243.9220.4–286.6
2055336.9318.7–350.1248.1220.1–282.1
2056338.1320.4–351.5245.6213.1–279
2057340.6316.7–351.1249.4214.2–279.1
2058340.8322.3–351.7248.4217.2–289.1
2059334.6319.6–349.6252.6220.5–283.1
2060340.7320.6–352.9256.8225.2–289.4
2061337.9324.8–351.5254.5220.4–285.9
2062340.1323.4–351252.8217.4–291.1
2063340.9316.3–354.4258.7226.2–288
2064341315.6–353.1252.1224.1–285.7
2065340.3319.5–352258.1226.9–288.9
2066339.5319.3–352.1256.4227.7–287.4
2067342.1324.2–351.9258.3228.2–294.9
2068344.3320.4–354.8264.6231.2–295
2069342.8323.8–355.6258.1229.3–292
2070344.4322.1–356.2256.9225.3–297.9
2071345326.4–354.8261.9231–292.9
2072345318.5–356.3267.3235.2–300.4
2073343.1321.4–355.1268.1233.7–304.7
2074342.9325.4–354.5263.7234.2–295.9
2075341.8319.7–353.7262.1229.5–295.4
2076344.9323.6–356.2266.8231.8–298.5
2077342320.4–351.9268.6232.1–298.8
2078345324.3–355.7270.1236.8–299.6
2079343.3323.8–356265.3229.5–304.2
2080344.9328.1–358.4268.4230.2–304.2
2081342.7326–353.6268231.9–300.8
2082344.9329.8–355.4267.4230.2–301.8
2083343.8321.8–354.5268.3236.2–307.4
2084344328.8–356.5273.9235.2–307.1
2085346.4322.1–356.6276.4234.2–305.9
2086342.6316.5–352.9267.9238.8–305.2
2087345.5325.6–356.7270.4233.7–301.8
2088346.5325.1–358.5277239.9–310.2
2089347.8327.2–357.7275.4246–309.8
2090346.9334.4–356.8275.3244.1–307
2091346.9330.1–357.1281.9240.6–310.6
2092346.6327–356277.1245.6–312.3
2093345.4326.9–356.3272.8244.2–311.6
2094347326.3–357.7274.9245.2–308.4
2095343.9329.1–355.1280.8244.6–313.5
2096344326.6–356.1275.2245.8–313.5
2097346.7329.2–355.1276247.2–305.4
2098347.2326.3–356.6278.9238.9–313.4
2099345.5327.5–357.7280.8240.6–312.8
2100346329.4–356.1279.1248.3–309.6

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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