Colombia vs Haiti

Colombia vs Haiti: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 19 nights, or 1.07 times that in Colombia.

Watch it change on the map

nights a year · CMIP6

Colombia vs Haiti: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 19 nights, or 1.07 times that in Colombia.
ColombiaHaitiCMIP6 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 Colombia at 297.4 nights and Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaHaiti
2014279.9298.9
2013279.8301.1
2012280.7301.5
2011280301
2010279.1298.6
2009279.3298.7
2008278.4296.4
2007277.3293.6
2006277.5294.2
2005277.7295.3
2004278.2298
2003277.5295.4
2002277.3295.6
2001278296
2000276.2291
1999274.6290.8
1998275.2291.4
1997274.4288
1996271.2287
1995271.3283.1
1994270.4282.6
1993268278.8
1992264.7277.7
1991273.9286.2
1990275.6291.1
1989271.9286.3
1988270.3282.7
1987271.8282.9
1986271.4281
1985268.4277.9
1984268.2277.7
1983265.1276.1
1982269.2280.4
1981272.1281.3
1980270.2280.2
1979269.3280.2
1978268.3277.8
1977269.6280.4
1976266.1276
1975261.6275.1
1974266.6278.1
1973269.9278.3
1972266.6276.6
1971265.7275.5
1970265.4272.2
1969266275.5
1968264.6274.5
1967261.7275
1966263.7277.8
1965263.2274.1
1964260.3274.8
1963254.8274.2
1962266.7278.6
1961267278.2
1960268.6278.2
1959265.5278.6
1958268281.6
1957267.4278
1956263.3277.9
1955267.7280.7
1954267.2277.6
1953267.9276.8
1952268.1279.7
1951267.2277.9
1950266.5276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaHaiti
2015280.4265.9–286.4305.5285.9–322.7
2016279.9267.9–285.6306288.9–319.7
2017281.7270.6–286.3307.5292–322.8
2018281.5271.8–286.3308.8294.3–322.5
2019281.1269.5–286.9307.1290.7–322.4
2020282.1270.6–287.9307.4293.2–321.3
2021283.2273.9–287.8311.8296.6–324.5
2022283.7273.6–288.5312.1298–329.1
2023282.6274.2–288.8311.6297.9–324.7
2024284.7274.7–289.8312.3294.2–326.9
2025283.5273.3–289.7314.6291.3–328.7
2026283.4272.7–289.7316.3297.5–332.3
2027283.9273.4–289.2316.4293.9–332.7
2028285275.1–290.7316.4299.6–334.9
2029285.8276–290.3316.5298.3–333.6
2030284.2273.4–289.8314.8301.6–331.6
2031285.8274.8–291.2317.8303.5–333.7
2032286.7278.3–292.6321.4303.7–333.1
2033285.7274.7–290.3319.5302–332.4
2034285275.8–292.8319.5298.9–337.1
2035285.9277.3–292322.6304.3–335.1
2036286276.9–291.6321.3304.1–335.4
2037287.5279.3–291.9325310.6–336
2038288279.7–292.4322305.4–338.2
2039287.6278.8–292.7322.3305.5–339.8
2040287.6279.3–294.5324.1309.7–338.7
2041288.2279.9–292.7323.8310.9–339.7
2042288.2278.3–295325307.1–339.2
2043287.7277.7–293.4325.4306.3–339.9
2044287.8278.5–295.1326.8308.2–345.7
2045288.8280.5–293.9327312.5–341.6
2046290.4281–295.5330.7312.9–342.1
2047289.9280.6–294.6327.3313.3–343.2
2048290.7281.4–296.8331.4313.9–344.2
2049290.9282–295.3333.3314.4–344.6
2050290.1280.8–296331.2312.1–348
2051290.6280.9–295.7331.4314–342.3
2052290.9281.9–296.7331.5314.8–346
2053290.5280.8–296.3332.8314.2–342.8
2054290.8281.3–297.2331.7315.8–348.4
2055291.1282.6–298331.2317.8–348.8
2056291.5281.5–298.6330317.4–348.3
2057291.5281.2–297.3335.7314–347.6
2058291.8281.7–298.9335.3316.4–350.6
2059292.8282–299.2336.7319.6–349
2060293.2283–300.1337.6318.4–350
2061292.2281.9–298.7336.4318.8–349.6
2062292.6282.4–299.7336.1317.5–349.7
2063293.6282.3–298.6338320.8–354
2064292.7282.9–299.1336.6319.4–350.9
2065293.8283.6–299.4335.5318.9–349
2066293.1283.4–299.8338.8321.1–351.7
2067292.9281.8–299.6337.2317.8–350.8
2068294.2282.5–300.6340.4321.9–353.8
2069292.9282.4–300337.2320.2–351.6
2070292.9282.8–300.8339.5319.8–351.4
2071294.2282.8–301.5339.8320.1–353.6
2072294.9285.1–301.9342.6319.9–353.2
2073294.9285.5–302.2340.9320.2–353.6
2074293.9283.3–300.3340.9324.7–353.4
2075294.1283.2–300.6338.8321.7–353.5
2076294.9284.6–302344.1322–355.4
2077295.3284.3–301.9340.8321.6–354
2078294.4285–302340.6325.1–354.5
2079294.8283.7–301.8341.6323.7–354.4
2080295.1283.4–302.8340.3322.6–354.3
2081295.1284.8–302.6340322.6–353.4
2082295.1284.9–301.3342.4326.5–353.5
2083295.4284.5–304.6342.2326.4–352.5
2084296285.1–304.4345.5326.2–354.6
2085296.6285–305344325–355.4
2086295.6284.8–303.6344.9326.6–355.1
2087295.3284.1–303.4342.6322.5–354.4
2088295.9284.5–305.5342.5328.2–356.1
2089295.6285–304.5345.8326.6–358
2090295.7285.8–304.6343.2328.2–355.8
2091297285–304.9344.7323.1–357.7
2092296.8286–305.7346.5326.6–356.5
2093296.3285.6–305.3341.4324.8–356.7
2094296.4285.8–305341.4327.9–355.8
2095297.9285.6–304.9345.6326.2–356.1
2096296285.9–307.5344327.2–358.3
2097296.5284.8–303.4344.2330–356.7
2098296.6286–307.3343.8324.3–358.4
2099297284.6–305.4346.6323.1–358.1
2100297.4286.5–305.2346.8326.2–356.3

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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