Ecuador vs Venezuela

Ecuador vs Venezuela: Tropical nights

Tropical nights in 2014: 192 nights in Ecuador and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 109.6 nights, or 1.57 times that in Ecuador.

nights a year · CMIP6

Ecuador vs Venezuela: Tropical nightsTropical nights in 2014: 192 nights in Ecuador and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 109.6 nights, or 1.57 times that in Ecuador.
EcuadorVenezuelaCMIP6 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 Ecuador at 223.3 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearEcuadorVenezuela
2014192301.6
2013192.7302
2012195.6303.7
2011193.5301.3
2010191.9300.3
2009190.7300
2008190.2298.4
2007188.3296.4
2006186296.8
2005187.4296.8
2004190299.4
2003188.3295.2
2002187.2296.3
2001189298.7
2000185.3292.3
1999181.4291.6
1998182.7291.4
1997182.4290.5
1996176.2286.8
1995174.9285.4
1994175.8282.3
1993170.8279.5
1992166.2274.7
1991179.8289.7
1990184.5291.4
1989178.8283.8
1988173.9284.2
1987177.8284.2
1986177.2284.4
1985172278.3
1984172.1279.8
1983166.8274.3
1982170.8280.8
1981177.4283.4
1980173.2280.5
1979172.1281.1
1978172.3278.7
1977172281.2
1976170276.6
1975163.9272.3
1974169.4277.7
1973173.3278.9
1972169.5275.9
1971167.5276.5
1970169.8275.6
1969167.4275.6
1968168.5273.2
1967159.5271.5
1966162.2273.1
1965163.3272.1
1964161.2270.3
1963151.1268.9
1962168.6276.8
1961169.5278.6
1960172.4279.9
1959167.3276.1
1958170.7280.9
1957171.4277.6
1956164275.1
1955169277.7
1954169.5277.5
1953169.6277.3
1952170.3278.4
1951171.7277.5
1950169.5275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEcuadorVenezuela
2015193.3172.3–205.7306.4280.3–320.1
2016192.7172.2–203.6303.9282.3–316.9
2017195.3178.7–206.8308.5288.7–319.9
2018194.8178–206.5307.6289.9–320.7
2019193.3173.9–207.6306.7288.7–321.7
2020196.2179.1–208310.2287.9–323.6
2021198.7183.8–209311.3295.3–324.1
2022200.5181.4–209.9314.4295–326.3
2023198.3180.6–210.1311.5294.4–326.5
2024201.5181.4–210.7316298.2–327.4
2025199.9180–212313.8294.2–329.5
2026200.2180.5–211.7314290.3–329.4
2027199.8181.7–210.8315.6292.6–328.8
2028203.4187–212.4317.7296.4–332.1
2029204.6189.9–213319.3296.9–332
2030200.4183–212.8317.7295–328.5
2031204.9187.3–214.1320.1295.9–331.8
2032205.8191.8–216.5321.4304.7–335
2033203.3184.3–213.1320.6301.8–331.2
2034203.3189.6–218.3318.1298.1–335
2035204.3187.8–214.4319.3302.3–335.9
2036204.8189.9–214.6320.5305.3–332.3
2037207.9195.6–216.5324.1307.2–334.1
2038208.5195.8–216.1325.8309.6–336.2
2039206.5190.8–217.1324.3307.9–335.8
2040208.7193.7–219.1323.5307.5–338.7
2041208.8194.8–218.1325.3309.6–336.6
2042208.6192.5–219.7324.8305.5–341.2
2043207.2192.5–217.3324.2307.1–337.7
2044207190.4–220.2324.1306.3–339.8
2045209.7196–219327.5309.7–338.6
2046213.1196.1–221.1329.6310.8–340.5
2047211.9198.3–219.3329.5313.9–341.5
2048214.1200.7–222.9331.2313.7–342.8
2049212.8200–221332.3314.9–340.5
2050211.6197.6–222.2330.9311.8–343.6
2051213.8197.8–221.4330.7310.1–344
2052213.3202.2–222.7332.4316.6–343.5
2053212.5198.8–221.7330.6312.7–343.6
2054213.5201–224.3331.9313.8–344.6
2055213.9203–224.9333317–345.8
2056215.6199.8–223.9332.7313.1–347.7
2057214.5198.6–224334.2315.2–345.3
2058215.1199.9–225.9333.5314.3–346.2
2059217.2200.1–225.2335.6317.1–348.3
2060217.1204.7–226.8337.4319.4–349
2061215.6201.9–225.8335.3317.3–347.2
2062216.8201.4–226.9335.9315–348.4
2063217202.6–226.3338317.5–347.9
2064216.7203–225336.3319.9–347.5
2065217.7204.7–227336.8319.9–349
2066217.2205.6–227.3337.9320.9–349.1
2067217.4201.5–226.7337.5317.9–348.2
2068218.9203.9–228.3339.3317.4–349.4
2069216.8201.7–228336.5318.1–349
2070216.8204.3–228.3336.4319.5–349.1
2071219.5205.5–228.7338.9319.1–349.1
2072220208.3–229340321.8–350.6
2073219.5208.1–230.7340.3322.9–351.4
2074218.4202.8–228338.9319.1–349.5
2075218.8203.6–227.8339.5318.1–349.2
2076220.7207.7–229.9339.8322.6–350.2
2077220.7206.9–230.5340.3322.1–351
2078220207.5–231340.2323–351
2079220.4205.4–229.2340.1320.9–351.4
2080220.2204.8–230.7341.4320.2–351.6
2081220.2205.5–230.9340.7322.5–351.3
2082220.1207.8–229.2341.6323.9–350.1
2083221.5208.5–232.9341.7323.3–353
2084222.3207.1–232.6343.3321.3–352.4
2085222.4208.4–234.3344.7322.8–353.5
2086219.9207.1–232.4341.4322.6–352.2
2087220.9206.1–231.9342.5322.4–352.2
2088221.7206.1–234.8342.9322.8–353.6
2089221.3206.9–232.8342.3324.8–353.1
2090221.6208.8–234.3341.9325.2–352.9
2091223.8207.5–233.5344.3323.4–353.3
2092222.7209.7–234.9344.3324.9–354.2
2093221.7208.7–235.5343324.8–353.6
2094223209.9–234.4343.9326.6–352.8
2095223.9209.9–235.4345.4325.4–354.5
2096221.9209.7–237.3343.7326–355.2
2097221.6208.4–232.3343.5324.6–351.9
2098222.1210.2–238.2344.5326.1–354.4
2099222.2207.1–234.4344.6324.8–353.8
2100223.3209.1–235.3345328.4–353.9

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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