Bolivia vs Cuba

Bolivia vs Cuba: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 130.2 nights, or 1.73 times that in Bolivia.

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nights a year · CMIP6

Bolivia vs Cuba: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 130.2 nights, or 1.73 times that in Bolivia.
BoliviaCubaCMIP6 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 Bolivia at 210.8 nights and Cuba at 346 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaCuba
2014179.5309.7
2013176.3315.2
2012177312
2011177.2312.1
2010176.7313
2009175.9308.8
2008174.1309.3
2007169308.5
2006169.8309.9
2005170.5309.1
2004175.5309.3
2003170.6304.6
2002173.3310.4
2001172.9304.8
2000169308.1
1999167.3304.4
1998170.7304.9
1997167.7299.8
1996163.3298
1995164.4295.1
1994162.7297.3
1993160.4294.5
1992155.4295.7
1991169.7299.1
1990172302
1989164.4298.1
1988161.5298.3
1987162.5294
1986163.8293.6
1985157.8297.4
1984159.8289.4
1983156.8292.2
1982164.2294
1981166.5293.6
1980162.2295.8
1979162.7295.1
1978161.1290.9
1977161289.3
1976160.1293.4
1975155.5289
1974160.5291.6
1973160.5291.2
1972158.8289.4
1971156.7286.5
1970155.1283.3
1969155.7287.2
1968155.9290.6
1967153.3289.9
1966156.7290.7
1965154.2284.8
1964150.7287.7
1963148.4288.9
1962157.9292.9
1961158.7292.2
1960160.3293.3
1959159292.7
1958157.5291.6
1957159.3292
1956154.5294.6
1955160.3293.4
1954159.7289.5
1953157.8289.2
1952159.1290.9
1951157.6292.1
1950158.6292.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaCuba
2015177.7162.4–194.8315.1292.1–332.6
2016177.1155.9–190.7317.9302.7–334.8
2017179.6164.6–190.9317304–329.5
2018177.8162.1–196.3319.5301–334.2
2019180.1164.5–199.9317.6297.3–336.1
2020180.5162–200.6319.5296.6–334.3
2021185.6169.2–197.3320.6301.8–335.1
2022184.7165.7–200.5318.2303.4–331.8
2023181.3166.6–196.7322.4302.9–336.9
2024187.1168.2–202.1320.1297.1–341.5
2025183.5168.8–195.7319.6297.1–334.8
2026182.5164.8–198.1327.3300.6–343.1
2027182.7165–201.6328.7307.3–344.9
2028186.3169.6–200.3327.5306.8–343.5
2029192.5175.6–205.4326.5309–340.3
2030185.5161.7–204.2328.8305–342.3
2031189.2166.2–205.3328.6308.6–343.5
2032189.7173.8–209.6332.1308.4–344.7
2033188.2167.7–204.1328.3305.5–342.9
2034188172.2–207.8329.4308.9–346.2
2035186.7169.1–206.1325.7307.3–342.4
2036190.5173.5–205.2329307–341.7
2037195.3181.4–208.5332.6311.4–346.9
2038189.2174.7–207.8331.4313–345.1
2039192.7175.7–205.5328305.6–345.9
2040192.3176.8–204.2328.8309–347.6
2041193.9179–209331.4307.4–344.3
2042191.3171.9–207.6331.6309.6–345.1
2043191.2174.4–209.9332.1311–348.9
2044194.5179.1–209.4335.1315.6–348.6
2045194.4180.2–209336.3317.6–348.6
2046194.8181.4–213328.7309–349.2
2047196.5181.4–213.3334.4316.3–350.1
2048200.2184.6–212.8335.2316.3–349.1
2049199.8181.3–214.4339.5317–350.8
2050196.3173.9–210.9338.7316.7–350.6
2051198.5184.2–213.3337.4313.8–349.8
2052200.6185.7–214.8331311.8–349.4
2053198182.1–211339.5314.6–351.2
2054195.9179.8–211338.4322.5–348.7
2055201.2187.1–215336.9318.7–350.1
2056201.3181.5–216.1338.1320.4–351.5
2057200.6184.3–214.4340.6316.7–351.1
2058200.8182.8–216.5340.8322.3–351.7
2059203.2186.1–215.8334.6319.6–349.6
2060203.4186.2–219.7340.7320.6–352.9
2061197.9184–216.3337.9324.8–351.5
2062201.4186.2–219.1340.1323.4–351
2063201.5184.9–217340.9316.3–354.4
2064200.5184.6–216.1341315.6–353.1
2065204.9187.3–218.4340.3319.5–352
2066203.3186.8–218.1339.5319.3–352.1
2067203.6187.7–215.6342.1324.2–351.9
2068204.4188–218344.3320.4–354.8
2069203.8184.5–219342.8323.8–355.6
2070205.1188.3–221.4344.4322.1–356.2
2071203186.9–214.6345326.4–354.8
2072206186.6–221.5345318.5–356.3
2073206.5193.2–220.7343.1321.4–355.1
2074204.5184.1–219.5342.9325.4–354.5
2075203.8185.8–217.9341.8319.7–353.7
2076206.5190.1–220.4344.9323.6–356.2
2077209.1185.4–221.4342320.4–351.9
2078208.1192.7–222.9345324.3–355.7
2079204.7186.2–218.6343.3323.8–356
2080208.7192.4–221.1344.9328.1–358.4
2081208.1190.7–221.1342.7326–353.6
2082208.2189.7–220.1344.9329.8–355.4
2083209.3192.8–222.6343.8321.8–354.5
2084208.2193.3–223.1344328.8–356.5
2085210.4194–225346.4322.1–356.6
2086210.4189.7–225.4342.6316.5–352.9
2087207.9193.8–222345.5325.6–356.7
2088210.3193.4–225.2346.5325.1–358.5
2089208.2191.3–222.9347.8327.2–357.7
2090209.7195.5–225.2346.9334.4–356.8
2091209.7192.5–227.1346.9330.1–357.1
2092209.8192.1–223.9346.6327–356
2093209.4195.7–222.1345.4326.9–356.3
2094208.9194.6–222.7347326.3–357.7
2095210.3191.2–225.3343.9329.1–355.1
2096211.6193.9–225344326.6–356.1
2097208.6189.8–220.3346.7329.2–355.1
2098211.7196.2–226.5347.2326.3–356.6
2099211.2195.3–224345.5327.5–357.7
2100210.8195.8–226.8346329.4–356.1

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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