Ecuador vs Haiti

Ecuador vs Haiti: Tropical nights

Tropical nights in 2014: 192 nights in Ecuador and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 106.9 nights, or 1.56 times that in Ecuador.

Watch it change on the map

nights a year · CMIP6

Ecuador vs Haiti: Tropical nightsTropical nights in 2014: 192 nights in Ecuador and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 106.9 nights, or 1.56 times that in Ecuador.
EcuadorHaitiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Haiti 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 Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearEcuadorHaiti
2014192298.9
2013192.7301.1
2012195.6301.5
2011193.5301
2010191.9298.6
2009190.7298.7
2008190.2296.4
2007188.3293.6
2006186294.2
2005187.4295.3
2004190298
2003188.3295.4
2002187.2295.6
2001189296
2000185.3291
1999181.4290.8
1998182.7291.4
1997182.4288
1996176.2287
1995174.9283.1
1994175.8282.6
1993170.8278.8
1992166.2277.7
1991179.8286.2
1990184.5291.1
1989178.8286.3
1988173.9282.7
1987177.8282.9
1986177.2281
1985172277.9
1984172.1277.7
1983166.8276.1
1982170.8280.4
1981177.4281.3
1980173.2280.2
1979172.1280.2
1978172.3277.8
1977172280.4
1976170276
1975163.9275.1
1974169.4278.1
1973173.3278.3
1972169.5276.6
1971167.5275.5
1970169.8272.2
1969167.4275.5
1968168.5274.5
1967159.5275
1966162.2277.8
1965163.3274.1
1964161.2274.8
1963151.1274.2
1962168.6278.6
1961169.5278.2
1960172.4278.2
1959167.3278.6
1958170.7281.6
1957171.4278
1956164277.9
1955169280.7
1954169.5277.6
1953169.6276.8
1952170.3279.7
1951171.7277.9
1950169.5276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEcuadorHaiti
2015193.3172.3–205.7305.5285.9–322.7
2016192.7172.2–203.6306288.9–319.7
2017195.3178.7–206.8307.5292–322.8
2018194.8178–206.5308.8294.3–322.5
2019193.3173.9–207.6307.1290.7–322.4
2020196.2179.1–208307.4293.2–321.3
2021198.7183.8–209311.8296.6–324.5
2022200.5181.4–209.9312.1298–329.1
2023198.3180.6–210.1311.6297.9–324.7
2024201.5181.4–210.7312.3294.2–326.9
2025199.9180–212314.6291.3–328.7
2026200.2180.5–211.7316.3297.5–332.3
2027199.8181.7–210.8316.4293.9–332.7
2028203.4187–212.4316.4299.6–334.9
2029204.6189.9–213316.5298.3–333.6
2030200.4183–212.8314.8301.6–331.6
2031204.9187.3–214.1317.8303.5–333.7
2032205.8191.8–216.5321.4303.7–333.1
2033203.3184.3–213.1319.5302–332.4
2034203.3189.6–218.3319.5298.9–337.1
2035204.3187.8–214.4322.6304.3–335.1
2036204.8189.9–214.6321.3304.1–335.4
2037207.9195.6–216.5325310.6–336
2038208.5195.8–216.1322305.4–338.2
2039206.5190.8–217.1322.3305.5–339.8
2040208.7193.7–219.1324.1309.7–338.7
2041208.8194.8–218.1323.8310.9–339.7
2042208.6192.5–219.7325307.1–339.2
2043207.2192.5–217.3325.4306.3–339.9
2044207190.4–220.2326.8308.2–345.7
2045209.7196–219327312.5–341.6
2046213.1196.1–221.1330.7312.9–342.1
2047211.9198.3–219.3327.3313.3–343.2
2048214.1200.7–222.9331.4313.9–344.2
2049212.8200–221333.3314.4–344.6
2050211.6197.6–222.2331.2312.1–348
2051213.8197.8–221.4331.4314–342.3
2052213.3202.2–222.7331.5314.8–346
2053212.5198.8–221.7332.8314.2–342.8
2054213.5201–224.3331.7315.8–348.4
2055213.9203–224.9331.2317.8–348.8
2056215.6199.8–223.9330317.4–348.3
2057214.5198.6–224335.7314–347.6
2058215.1199.9–225.9335.3316.4–350.6
2059217.2200.1–225.2336.7319.6–349
2060217.1204.7–226.8337.6318.4–350
2061215.6201.9–225.8336.4318.8–349.6
2062216.8201.4–226.9336.1317.5–349.7
2063217202.6–226.3338320.8–354
2064216.7203–225336.6319.4–350.9
2065217.7204.7–227335.5318.9–349
2066217.2205.6–227.3338.8321.1–351.7
2067217.4201.5–226.7337.2317.8–350.8
2068218.9203.9–228.3340.4321.9–353.8
2069216.8201.7–228337.2320.2–351.6
2070216.8204.3–228.3339.5319.8–351.4
2071219.5205.5–228.7339.8320.1–353.6
2072220208.3–229342.6319.9–353.2
2073219.5208.1–230.7340.9320.2–353.6
2074218.4202.8–228340.9324.7–353.4
2075218.8203.6–227.8338.8321.7–353.5
2076220.7207.7–229.9344.1322–355.4
2077220.7206.9–230.5340.8321.6–354
2078220207.5–231340.6325.1–354.5
2079220.4205.4–229.2341.6323.7–354.4
2080220.2204.8–230.7340.3322.6–354.3
2081220.2205.5–230.9340322.6–353.4
2082220.1207.8–229.2342.4326.5–353.5
2083221.5208.5–232.9342.2326.4–352.5
2084222.3207.1–232.6345.5326.2–354.6
2085222.4208.4–234.3344325–355.4
2086219.9207.1–232.4344.9326.6–355.1
2087220.9206.1–231.9342.6322.5–354.4
2088221.7206.1–234.8342.5328.2–356.1
2089221.3206.9–232.8345.8326.6–358
2090221.6208.8–234.3343.2328.2–355.8
2091223.8207.5–233.5344.7323.1–357.7
2092222.7209.7–234.9346.5326.6–356.5
2093221.7208.7–235.5341.4324.8–356.7
2094223209.9–234.4341.4327.9–355.8
2095223.9209.9–235.4345.6326.2–356.1
2096221.9209.7–237.3344327.2–358.3
2097221.6208.4–232.3344.2330–356.7
2098222.1210.2–238.2343.8324.3–358.4
2099222.2207.1–234.4346.6323.1–358.1
2100223.3209.1–235.3346.8326.2–356.3

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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