Colombia vs Guatemala

Colombia vs Guatemala: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 108.4 nights, or 1.63 times that in Guatemala.

nights a year · CMIP6

Colombia vs Guatemala: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 108.4 nights, or 1.63 times that in Guatemala.
ColombiaGuatemalaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia 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 Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaGuatemala
2014279.9171.5
2013279.8175.4
2012280.7171.8
2011280173.8
2010279.1171.4
2009279.3169.7
2008278.4167.8
2007277.3167.6
2006277.5167.2
2005277.7169.2
2004278.2167.4
2003277.5165.8
2002277.3165.7
2001278165.3
2000276.2163.6
1999274.6162
1998275.2162.1
1997274.4160.7
1996271.2157.9
1995271.3153.5
1994270.4155
1993268153.5
1992264.7151.7
1991273.9158.2
1990275.6161.9
1989271.9157.5
1988270.3154.2
1987271.8154.7
1986271.4153.1
1985268.4150.7
1984268.2150.3
1983265.1148.1
1982269.2151.3
1981272.1156.7
1980270.2152.3
1979269.3153
1978268.3149.5
1977269.6150.6
1976266.1151.6
1975261.6147.4
1974266.6150.2
1973269.9149.6
1972266.6148.2
1971265.7145.5
1970265.4145.4
1969266146.8
1968264.6146.7
1967261.7142.7
1966263.7145.9
1965263.2143.3
1964260.3143
1963254.8144.6
1962266.7149.5
1961267149.8
1960268.6151.4
1959265.5147.4
1958268150.5
1957267.4151.1
1956263.3148.2
1955267.7152.5
1954267.2150.4
1953267.9149.3
1952268.1150.3
1951267.2151.8
1950266.5148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaGuatemala
2015280.4265.9–286.4177158.4–194.6
2016279.9267.9–285.6178.5161.5–195.5
2017281.7270.6–286.3182.8166.6–194.9
2018281.5271.8–286.3180.2165–196.4
2019281.1269.5–286.9181.7159.3–199.5
2020282.1270.6–287.9184.1161.8–198.6
2021283.2273.9–287.8184.4168.1–201.1
2022283.7273.6–288.5184.6165.7–198.4
2023282.6274.2–288.8186.3171.1–207
2024284.7274.7–289.8187.1169.9–207.3
2025283.5273.3–289.7187.4169.7–205.6
2026283.4272.7–289.7190.9167.9–211
2027283.9273.4–289.2188.4171.9–210.9
2028285275.1–290.7191.3175.8–208.5
2029285.8276–290.3192.7175.6–208.8
2030284.2273.4–289.8191173.3–207.9
2031285.8274.8–291.2193.6175.3–211.4
2032286.7278.3–292.6196.4178.7–214.8
2033285.7274.7–290.3193.3174.6–208.5
2034285275.8–292.8193.5176.2–214.4
2035285.9277.3–292193.4177.7–212.8
2036286276.9–291.6194.4180.5–212.8
2037287.5279.3–291.9199.1180–216.2
2038288279.7–292.4202.6184.8–216.7
2039287.6278.8–292.7199181.6–217.6
2040287.6279.3–294.5200.3182.9–217.9
2041288.2279.9–292.7200.7182.1–218.2
2042288.2278.3–295201.6180.3–222.1
2043287.7277.7–293.4201.7182.3–226.4
2044287.8278.5–295.1200.8184.9–222.3
2045288.8280.5–293.9203.6188.7–225.1
2046290.4281–295.5204.5183.3–227.5
2047289.9280.6–294.6207.5190.3–227.5
2048290.7281.4–296.8208.2188.9–229.4
2049290.9282–295.3210.1188.7–227.4
2050290.1280.8–296211.4188–230.7
2051290.6280.9–295.7208.1192.7–229.2
2052290.9281.9–296.7207.7193–227.9
2053290.5280.8–296.3209.8186.4–233.2
2054290.8281.3–297.2209.5194.7–233.2
2055291.1282.6–298212.4196.2–231.9
2056291.5281.5–298.6210.9193.3–233.1
2057291.5281.2–297.3213.3193.7–232.4
2058291.8281.7–298.9211.7192.3–238.1
2059292.8282–299.2214.5190.4–237.4
2060293.2283–300.1217.4196.4–237.3
2061292.2281.9–298.7213.9193.7–237.1
2062292.6282.4–299.7216.3194–237.3
2063293.6282.3–298.6217.2197–240.8
2064292.7282.9–299.1214.5196.1–236.1
2065293.8283.6–299.4217.3195.2–238.2
2066293.1283.4–299.8217.9195.2–240
2067292.9281.8–299.6216.4194.1–241.1
2068294.2282.5–300.6221200.2–243.4
2069292.9282.4–300219.9200.5–241.9
2070292.9282.8–300.8219.6199.9–242.6
2071294.2282.8–301.5222.5203.4–243
2072294.9285.1–301.9225.6200.4–247.6
2073294.9285.5–302.2224.4199.9–248.3
2074293.9283.3–300.3222.5202.2–245.9
2075294.1283.2–300.6220.2198.7–242.6
2076294.9284.6–302222.9195.4–247.7
2077295.3284.3–301.9225.2198.3–245.9
2078294.4285–302225.4197.8–245.9
2079294.8283.7–301.8223.4199.3–248.2
2080295.1283.4–302.8223.4201–250.7
2081295.1284.8–302.6224202.5–246.6
2082295.1284.9–301.3224.8201.3–245.9
2083295.4284.5–304.6225202.3–250.5
2084296285.1–304.4227.9204.9–249.9
2085296.6285–305227.7199.2–251.3
2086295.6284.8–303.6224.9202.3–249.6
2087295.3284.1–303.4227.1197.8–249.7
2088295.9284.5–305.5230.6207.4–255.5
2089295.6285–304.5229.7207.4–251.4
2090295.7285.8–304.6228.2210–253.4
2091297285–304.9231.4206.6–255.4
2092296.8286–305.7230.1207.4–253.4
2093296.3285.6–305.3226.7206–255.5
2094296.4285.8–305227.3204.4–251.7
2095297.9285.6–304.9231.1207.7–255.5
2096296285.9–307.5229.9206.3–255.5
2097296.5284.8–303.4226.7208.6–249.5
2098296.6286–307.3231.1202.9–259.1
2099297284.6–305.4230.2203.1–256.5
2100297.4286.5–305.2230.9208.9–255.1

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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