Cuba vs Guatemala

Cuba vs Guatemala: Tropical nights

Tropical nights in 2014: 309.7 nights in Cuba and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 138.2 nights, or 1.81 times that in Guatemala.

nights a year · CMIP6

Cuba vs Guatemala: Tropical nightsTropical nights in 2014: 309.7 nights in Cuba and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 138.2 nights, or 1.81 times that in Guatemala.
CubaGuatemalaCMIP6 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 Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearCubaGuatemala
2014309.7171.5
2013315.2175.4
2012312171.8
2011312.1173.8
2010313171.4
2009308.8169.7
2008309.3167.8
2007308.5167.6
2006309.9167.2
2005309.1169.2
2004309.3167.4
2003304.6165.8
2002310.4165.7
2001304.8165.3
2000308.1163.6
1999304.4162
1998304.9162.1
1997299.8160.7
1996298157.9
1995295.1153.5
1994297.3155
1993294.5153.5
1992295.7151.7
1991299.1158.2
1990302161.9
1989298.1157.5
1988298.3154.2
1987294154.7
1986293.6153.1
1985297.4150.7
1984289.4150.3
1983292.2148.1
1982294151.3
1981293.6156.7
1980295.8152.3
1979295.1153
1978290.9149.5
1977289.3150.6
1976293.4151.6
1975289147.4
1974291.6150.2
1973291.2149.6
1972289.4148.2
1971286.5145.5
1970283.3145.4
1969287.2146.8
1968290.6146.7
1967289.9142.7
1966290.7145.9
1965284.8143.3
1964287.7143
1963288.9144.6
1962292.9149.5
1961292.2149.8
1960293.3151.4
1959292.7147.4
1958291.6150.5
1957292151.1
1956294.6148.2
1955293.4152.5
1954289.5150.4
1953289.2149.3
1952290.9150.3
1951292.1151.8
1950292.3148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCubaGuatemala
2015315.1292.1–332.6177158.4–194.6
2016317.9302.7–334.8178.5161.5–195.5
2017317304–329.5182.8166.6–194.9
2018319.5301–334.2180.2165–196.4
2019317.6297.3–336.1181.7159.3–199.5
2020319.5296.6–334.3184.1161.8–198.6
2021320.6301.8–335.1184.4168.1–201.1
2022318.2303.4–331.8184.6165.7–198.4
2023322.4302.9–336.9186.3171.1–207
2024320.1297.1–341.5187.1169.9–207.3
2025319.6297.1–334.8187.4169.7–205.6
2026327.3300.6–343.1190.9167.9–211
2027328.7307.3–344.9188.4171.9–210.9
2028327.5306.8–343.5191.3175.8–208.5
2029326.5309–340.3192.7175.6–208.8
2030328.8305–342.3191173.3–207.9
2031328.6308.6–343.5193.6175.3–211.4
2032332.1308.4–344.7196.4178.7–214.8
2033328.3305.5–342.9193.3174.6–208.5
2034329.4308.9–346.2193.5176.2–214.4
2035325.7307.3–342.4193.4177.7–212.8
2036329307–341.7194.4180.5–212.8
2037332.6311.4–346.9199.1180–216.2
2038331.4313–345.1202.6184.8–216.7
2039328305.6–345.9199181.6–217.6
2040328.8309–347.6200.3182.9–217.9
2041331.4307.4–344.3200.7182.1–218.2
2042331.6309.6–345.1201.6180.3–222.1
2043332.1311–348.9201.7182.3–226.4
2044335.1315.6–348.6200.8184.9–222.3
2045336.3317.6–348.6203.6188.7–225.1
2046328.7309–349.2204.5183.3–227.5
2047334.4316.3–350.1207.5190.3–227.5
2048335.2316.3–349.1208.2188.9–229.4
2049339.5317–350.8210.1188.7–227.4
2050338.7316.7–350.6211.4188–230.7
2051337.4313.8–349.8208.1192.7–229.2
2052331311.8–349.4207.7193–227.9
2053339.5314.6–351.2209.8186.4–233.2
2054338.4322.5–348.7209.5194.7–233.2
2055336.9318.7–350.1212.4196.2–231.9
2056338.1320.4–351.5210.9193.3–233.1
2057340.6316.7–351.1213.3193.7–232.4
2058340.8322.3–351.7211.7192.3–238.1
2059334.6319.6–349.6214.5190.4–237.4
2060340.7320.6–352.9217.4196.4–237.3
2061337.9324.8–351.5213.9193.7–237.1
2062340.1323.4–351216.3194–237.3
2063340.9316.3–354.4217.2197–240.8
2064341315.6–353.1214.5196.1–236.1
2065340.3319.5–352217.3195.2–238.2
2066339.5319.3–352.1217.9195.2–240
2067342.1324.2–351.9216.4194.1–241.1
2068344.3320.4–354.8221200.2–243.4
2069342.8323.8–355.6219.9200.5–241.9
2070344.4322.1–356.2219.6199.9–242.6
2071345326.4–354.8222.5203.4–243
2072345318.5–356.3225.6200.4–247.6
2073343.1321.4–355.1224.4199.9–248.3
2074342.9325.4–354.5222.5202.2–245.9
2075341.8319.7–353.7220.2198.7–242.6
2076344.9323.6–356.2222.9195.4–247.7
2077342320.4–351.9225.2198.3–245.9
2078345324.3–355.7225.4197.8–245.9
2079343.3323.8–356223.4199.3–248.2
2080344.9328.1–358.4223.4201–250.7
2081342.7326–353.6224202.5–246.6
2082344.9329.8–355.4224.8201.3–245.9
2083343.8321.8–354.5225202.3–250.5
2084344328.8–356.5227.9204.9–249.9
2085346.4322.1–356.6227.7199.2–251.3
2086342.6316.5–352.9224.9202.3–249.6
2087345.5325.6–356.7227.1197.8–249.7
2088346.5325.1–358.5230.6207.4–255.5
2089347.8327.2–357.7229.7207.4–251.4
2090346.9334.4–356.8228.2210–253.4
2091346.9330.1–357.1231.4206.6–255.4
2092346.6327–356230.1207.4–253.4
2093345.4326.9–356.3226.7206–255.5
2094347326.3–357.7227.3204.4–251.7
2095343.9329.1–355.1231.1207.7–255.5
2096344326.6–356.1229.9206.3–255.5
2097346.7329.2–355.1226.7208.6–249.5
2098347.2326.3–356.6231.1202.9–259.1
2099345.5327.5–357.7230.2203.1–256.5
2100346329.4–356.1230.9208.9–255.1

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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