Guatemala vs Venezuela

Guatemala vs Venezuela: Tropical nights

Tropical nights in 2014: 171.5 nights in Guatemala and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 130.1 nights, or 1.76 times that in Guatemala.

nights a year · CMIP6

Guatemala vs Venezuela: Tropical nightsTropical nights in 2014: 171.5 nights in Guatemala and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 130.1 nights, or 1.76 times that in Guatemala.
GuatemalaVenezuelaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Venezuela has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guatemala at 230.9 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearGuatemalaVenezuela
2014171.5301.6
2013175.4302
2012171.8303.7
2011173.8301.3
2010171.4300.3
2009169.7300
2008167.8298.4
2007167.6296.4
2006167.2296.8
2005169.2296.8
2004167.4299.4
2003165.8295.2
2002165.7296.3
2001165.3298.7
2000163.6292.3
1999162291.6
1998162.1291.4
1997160.7290.5
1996157.9286.8
1995153.5285.4
1994155282.3
1993153.5279.5
1992151.7274.7
1991158.2289.7
1990161.9291.4
1989157.5283.8
1988154.2284.2
1987154.7284.2
1986153.1284.4
1985150.7278.3
1984150.3279.8
1983148.1274.3
1982151.3280.8
1981156.7283.4
1980152.3280.5
1979153281.1
1978149.5278.7
1977150.6281.2
1976151.6276.6
1975147.4272.3
1974150.2277.7
1973149.6278.9
1972148.2275.9
1971145.5276.5
1970145.4275.6
1969146.8275.6
1968146.7273.2
1967142.7271.5
1966145.9273.1
1965143.3272.1
1964143270.3
1963144.6268.9
1962149.5276.8
1961149.8278.6
1960151.4279.9
1959147.4276.1
1958150.5280.9
1957151.1277.6
1956148.2275.1
1955152.5277.7
1954150.4277.5
1953149.3277.3
1952150.3278.4
1951151.8277.5
1950148.6275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuatemalaVenezuela
2015177158.4–194.6306.4280.3–320.1
2016178.5161.5–195.5303.9282.3–316.9
2017182.8166.6–194.9308.5288.7–319.9
2018180.2165–196.4307.6289.9–320.7
2019181.7159.3–199.5306.7288.7–321.7
2020184.1161.8–198.6310.2287.9–323.6
2021184.4168.1–201.1311.3295.3–324.1
2022184.6165.7–198.4314.4295–326.3
2023186.3171.1–207311.5294.4–326.5
2024187.1169.9–207.3316298.2–327.4
2025187.4169.7–205.6313.8294.2–329.5
2026190.9167.9–211314290.3–329.4
2027188.4171.9–210.9315.6292.6–328.8
2028191.3175.8–208.5317.7296.4–332.1
2029192.7175.6–208.8319.3296.9–332
2030191173.3–207.9317.7295–328.5
2031193.6175.3–211.4320.1295.9–331.8
2032196.4178.7–214.8321.4304.7–335
2033193.3174.6–208.5320.6301.8–331.2
2034193.5176.2–214.4318.1298.1–335
2035193.4177.7–212.8319.3302.3–335.9
2036194.4180.5–212.8320.5305.3–332.3
2037199.1180–216.2324.1307.2–334.1
2038202.6184.8–216.7325.8309.6–336.2
2039199181.6–217.6324.3307.9–335.8
2040200.3182.9–217.9323.5307.5–338.7
2041200.7182.1–218.2325.3309.6–336.6
2042201.6180.3–222.1324.8305.5–341.2
2043201.7182.3–226.4324.2307.1–337.7
2044200.8184.9–222.3324.1306.3–339.8
2045203.6188.7–225.1327.5309.7–338.6
2046204.5183.3–227.5329.6310.8–340.5
2047207.5190.3–227.5329.5313.9–341.5
2048208.2188.9–229.4331.2313.7–342.8
2049210.1188.7–227.4332.3314.9–340.5
2050211.4188–230.7330.9311.8–343.6
2051208.1192.7–229.2330.7310.1–344
2052207.7193–227.9332.4316.6–343.5
2053209.8186.4–233.2330.6312.7–343.6
2054209.5194.7–233.2331.9313.8–344.6
2055212.4196.2–231.9333317–345.8
2056210.9193.3–233.1332.7313.1–347.7
2057213.3193.7–232.4334.2315.2–345.3
2058211.7192.3–238.1333.5314.3–346.2
2059214.5190.4–237.4335.6317.1–348.3
2060217.4196.4–237.3337.4319.4–349
2061213.9193.7–237.1335.3317.3–347.2
2062216.3194–237.3335.9315–348.4
2063217.2197–240.8338317.5–347.9
2064214.5196.1–236.1336.3319.9–347.5
2065217.3195.2–238.2336.8319.9–349
2066217.9195.2–240337.9320.9–349.1
2067216.4194.1–241.1337.5317.9–348.2
2068221200.2–243.4339.3317.4–349.4
2069219.9200.5–241.9336.5318.1–349
2070219.6199.9–242.6336.4319.5–349.1
2071222.5203.4–243338.9319.1–349.1
2072225.6200.4–247.6340321.8–350.6
2073224.4199.9–248.3340.3322.9–351.4
2074222.5202.2–245.9338.9319.1–349.5
2075220.2198.7–242.6339.5318.1–349.2
2076222.9195.4–247.7339.8322.6–350.2
2077225.2198.3–245.9340.3322.1–351
2078225.4197.8–245.9340.2323–351
2079223.4199.3–248.2340.1320.9–351.4
2080223.4201–250.7341.4320.2–351.6
2081224202.5–246.6340.7322.5–351.3
2082224.8201.3–245.9341.6323.9–350.1
2083225202.3–250.5341.7323.3–353
2084227.9204.9–249.9343.3321.3–352.4
2085227.7199.2–251.3344.7322.8–353.5
2086224.9202.3–249.6341.4322.6–352.2
2087227.1197.8–249.7342.5322.4–352.2
2088230.6207.4–255.5342.9322.8–353.6
2089229.7207.4–251.4342.3324.8–353.1
2090228.2210–253.4341.9325.2–352.9
2091231.4206.6–255.4344.3323.4–353.3
2092230.1207.4–253.4344.3324.9–354.2
2093226.7206–255.5343324.8–353.6
2094227.3204.4–251.7343.9326.6–352.8
2095231.1207.7–255.5345.4325.4–354.5
2096229.9206.3–255.5343.7326–355.2
2097226.7208.6–249.5343.5324.6–351.9
2098231.1202.9–259.1344.5326.1–354.4
2099230.2203.1–256.5344.6324.8–353.8
2100230.9208.9–255.1345328.4–353.9

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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