Colombia vs Ecuador

Colombia vs Ecuador: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 87.9 nights, or 1.46 times that in Ecuador.

nights a year · CMIP6

Colombia vs Ecuador: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 87.9 nights, or 1.46 times that in Ecuador.
ColombiaEcuadorCMIP6 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 Ecuador at 223.3 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaEcuador
2014279.9192
2013279.8192.7
2012280.7195.6
2011280193.5
2010279.1191.9
2009279.3190.7
2008278.4190.2
2007277.3188.3
2006277.5186
2005277.7187.4
2004278.2190
2003277.5188.3
2002277.3187.2
2001278189
2000276.2185.3
1999274.6181.4
1998275.2182.7
1997274.4182.4
1996271.2176.2
1995271.3174.9
1994270.4175.8
1993268170.8
1992264.7166.2
1991273.9179.8
1990275.6184.5
1989271.9178.8
1988270.3173.9
1987271.8177.8
1986271.4177.2
1985268.4172
1984268.2172.1
1983265.1166.8
1982269.2170.8
1981272.1177.4
1980270.2173.2
1979269.3172.1
1978268.3172.3
1977269.6172
1976266.1170
1975261.6163.9
1974266.6169.4
1973269.9173.3
1972266.6169.5
1971265.7167.5
1970265.4169.8
1969266167.4
1968264.6168.5
1967261.7159.5
1966263.7162.2
1965263.2163.3
1964260.3161.2
1963254.8151.1
1962266.7168.6
1961267169.5
1960268.6172.4
1959265.5167.3
1958268170.7
1957267.4171.4
1956263.3164
1955267.7169
1954267.2169.5
1953267.9169.6
1952268.1170.3
1951267.2171.7
1950266.5169.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaEcuador
2015280.4265.9–286.4193.3172.3–205.7
2016279.9267.9–285.6192.7172.2–203.6
2017281.7270.6–286.3195.3178.7–206.8
2018281.5271.8–286.3194.8178–206.5
2019281.1269.5–286.9193.3173.9–207.6
2020282.1270.6–287.9196.2179.1–208
2021283.2273.9–287.8198.7183.8–209
2022283.7273.6–288.5200.5181.4–209.9
2023282.6274.2–288.8198.3180.6–210.1
2024284.7274.7–289.8201.5181.4–210.7
2025283.5273.3–289.7199.9180–212
2026283.4272.7–289.7200.2180.5–211.7
2027283.9273.4–289.2199.8181.7–210.8
2028285275.1–290.7203.4187–212.4
2029285.8276–290.3204.6189.9–213
2030284.2273.4–289.8200.4183–212.8
2031285.8274.8–291.2204.9187.3–214.1
2032286.7278.3–292.6205.8191.8–216.5
2033285.7274.7–290.3203.3184.3–213.1
2034285275.8–292.8203.3189.6–218.3
2035285.9277.3–292204.3187.8–214.4
2036286276.9–291.6204.8189.9–214.6
2037287.5279.3–291.9207.9195.6–216.5
2038288279.7–292.4208.5195.8–216.1
2039287.6278.8–292.7206.5190.8–217.1
2040287.6279.3–294.5208.7193.7–219.1
2041288.2279.9–292.7208.8194.8–218.1
2042288.2278.3–295208.6192.5–219.7
2043287.7277.7–293.4207.2192.5–217.3
2044287.8278.5–295.1207190.4–220.2
2045288.8280.5–293.9209.7196–219
2046290.4281–295.5213.1196.1–221.1
2047289.9280.6–294.6211.9198.3–219.3
2048290.7281.4–296.8214.1200.7–222.9
2049290.9282–295.3212.8200–221
2050290.1280.8–296211.6197.6–222.2
2051290.6280.9–295.7213.8197.8–221.4
2052290.9281.9–296.7213.3202.2–222.7
2053290.5280.8–296.3212.5198.8–221.7
2054290.8281.3–297.2213.5201–224.3
2055291.1282.6–298213.9203–224.9
2056291.5281.5–298.6215.6199.8–223.9
2057291.5281.2–297.3214.5198.6–224
2058291.8281.7–298.9215.1199.9–225.9
2059292.8282–299.2217.2200.1–225.2
2060293.2283–300.1217.1204.7–226.8
2061292.2281.9–298.7215.6201.9–225.8
2062292.6282.4–299.7216.8201.4–226.9
2063293.6282.3–298.6217202.6–226.3
2064292.7282.9–299.1216.7203–225
2065293.8283.6–299.4217.7204.7–227
2066293.1283.4–299.8217.2205.6–227.3
2067292.9281.8–299.6217.4201.5–226.7
2068294.2282.5–300.6218.9203.9–228.3
2069292.9282.4–300216.8201.7–228
2070292.9282.8–300.8216.8204.3–228.3
2071294.2282.8–301.5219.5205.5–228.7
2072294.9285.1–301.9220208.3–229
2073294.9285.5–302.2219.5208.1–230.7
2074293.9283.3–300.3218.4202.8–228
2075294.1283.2–300.6218.8203.6–227.8
2076294.9284.6–302220.7207.7–229.9
2077295.3284.3–301.9220.7206.9–230.5
2078294.4285–302220207.5–231
2079294.8283.7–301.8220.4205.4–229.2
2080295.1283.4–302.8220.2204.8–230.7
2081295.1284.8–302.6220.2205.5–230.9
2082295.1284.9–301.3220.1207.8–229.2
2083295.4284.5–304.6221.5208.5–232.9
2084296285.1–304.4222.3207.1–232.6
2085296.6285–305222.4208.4–234.3
2086295.6284.8–303.6219.9207.1–232.4
2087295.3284.1–303.4220.9206.1–231.9
2088295.9284.5–305.5221.7206.1–234.8
2089295.6285–304.5221.3206.9–232.8
2090295.7285.8–304.6221.6208.8–234.3
2091297285–304.9223.8207.5–233.5
2092296.8286–305.7222.7209.7–234.9
2093296.3285.6–305.3221.7208.7–235.5
2094296.4285.8–305223209.9–234.4
2095297.9285.6–304.9223.9209.9–235.4
2096296285.9–307.5221.9209.7–237.3
2097296.5284.8–303.4221.6208.4–232.3
2098296.6286–307.3222.1210.2–238.2
2099297284.6–305.4222.2207.1–234.4
2100297.4286.5–305.2223.3209.1–235.3

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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